[[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.01200000000000001,
                "predicted_accuracy": 0.788,
                "data_drift_magnitude": 0.06388888888888888
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "8",
                                "count": 13,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2658556013202507,
                                        "norm_importance": 21.951428644416424,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.24455017331619436,
                                        "norm_importance": 20.192260959977006,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.23880629008444554,
                                        "norm_importance": 19.71799431944943,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.23798330862985392,
                                        "norm_importance": 19.650041571467327,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.22391304982641327,
                                        "norm_importance": 18.488274504689812,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, ExistingSavings, LoanAmount, CurrentResidenceDuration, Sex feature values are causing a drop in accuracy. The InstallmentPercent, ExistingSavings, LoanAmount, CurrentResidenceDuration, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "CurrentResidenceDuration",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, ExistingSavings, LoanAmount, CurrentResidenceDuration, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "importance": 0.42353873787624435,
                                        "norm_importance": 27.174535572556664,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.351605148361284,
                                        "norm_importance": 22.559227190287388,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.31276871038219495,
                                        "norm_importance": 20.067454724169977,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.27414938276603795,
                                        "norm_importance": 17.589612207672406,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.19652487022344625,
                                        "norm_importance": 12.609170305313555,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Age, EmploymentDuration, Sex, LoanAmount, LoanDuration feature values are causing a drop in accuracy. The Age, EmploymentDuration, Sex, LoanAmount, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "EmploymentDuration",
                                            "Sex",
                                            "LoanAmount",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the Age, EmploymentDuration, Sex, LoanAmount, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "7",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.38798613921105035,
                                        "norm_importance": 24.652559269406886,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3760821386078467,
                                        "norm_importance": 23.896181526092974,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.2889481073498461,
                                        "norm_importance": 18.359703149988572,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.27627574816011774,
                                        "norm_importance": 17.554504060548794,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.24452474698396703,
                                        "norm_importance": 15.53705199396278,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, LoanDuration, Sex, EmploymentDuration feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, LoanDuration, Sex, EmploymentDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Sex",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Sex",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "Sex",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, LoanDuration, Sex, EmploymentDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4741428373785139,
                                        "norm_importance": 30.928641245477547,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.36661493032071935,
                                        "norm_importance": 23.914526934155276,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2744255194550431,
                                        "norm_importance": 17.900952562641134,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2118485273523519,
                                        "norm_importance": 13.819015250952615,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "importance": 0.20599006516564525,
                                        "norm_importance": 13.436864006773433,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, LoanAmount, Sex, InstallmentPercent, ExistingCreditsCount feature values are causing a drop in accuracy. The ExistingSavings feature(s) have some impact on drift. The LoanAmount, Sex, InstallmentPercent, ExistingCreditsCount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Sex",
                                            "InstallmentPercent",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, LoanAmount, Sex, InstallmentPercent, ExistingCreditsCount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "importance": 0.4493203400807825,
                                        "norm_importance": 27.179693576244535,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.34134833567935746,
                                        "norm_importance": 20.64839344877636,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.31148601457875075,
                                        "norm_importance": 18.84200129469763,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.28103815557050926,
                                        "norm_importance": 17.000189553551184,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.26995434215711744,
                                        "norm_importance": 16.329722126730275,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Age, ExistingSavings, EmploymentDuration, LoanAmount, Sex feature values are causing a drop in accuracy. The Age, ExistingSavings, EmploymentDuration, LoanAmount, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanAmount",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanAmount",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "LoanAmount",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the Age, ExistingSavings, EmploymentDuration, LoanAmount, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.5486806054547516,
                                        "norm_importance": 29.03443728404172,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4567498370089443,
                                        "norm_importance": 24.169752612526256,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3725441226673252,
                                        "norm_importance": 19.71385330115303,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.2601020494650291,
                                        "norm_importance": 13.763775441605059,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2516813996098062,
                                        "norm_importance": 13.31818136067393,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, EmploymentDuration, LoanDuration, InstallmentPercent feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, EmploymentDuration, LoanDuration, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "LoanDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, EmploymentDuration, LoanDuration, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.40481921438669427,
                                        "norm_importance": 22.63277232300121,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.38681941259221525,
                                        "norm_importance": 21.62643319334605,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3633460601258429,
                                        "norm_importance": 20.31407690404827,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.3593763032622756,
                                        "norm_importance": 20.09213436753377,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.27428075713681177,
                                        "norm_importance": 15.334583212070696,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, LoanDuration, Sex, CurrentResidenceDuration feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, LoanDuration, Sex, CurrentResidenceDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Sex",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Sex",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "Sex",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, LoanDuration, Sex, CurrentResidenceDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.47765970630989274,
                                        "norm_importance": 28.989773698787154,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3152935503055338,
                                        "norm_importance": 19.13556565751982,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3070746342335719,
                                        "norm_importance": 18.636749211778174,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.28708846932629495,
                                        "norm_importance": 17.423763502255703,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2605670997679509,
                                        "norm_importance": 15.814147929659155,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, LoanAmount, Age, EmploymentDuration, InstallmentPercent feature values are causing a drop in accuracy. The Sex, LoanAmount, Age, EmploymentDuration, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "LoanAmount",
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "LoanAmount",
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "LoanAmount",
                                            "Age",
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the Sex, LoanAmount, Age, EmploymentDuration, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 2,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.9041581490266913,
                                        "norm_importance": 35.11834281921307,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.48355239462009814,
                                        "norm_importance": 18.781624413384236,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "importance": 0.4686872672992382,
                                        "norm_importance": 18.20424905281576,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "importance": 0.3634412723105158,
                                        "norm_importance": 14.11639679340531,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3547646037147878,
                                        "norm_importance": 13.779386921181636,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, LoanAmount, ExistingCreditsCount, LoanPurpose, ExistingSavings feature values are causing a drop in accuracy. The InstallmentPercent feature(s) have some impact on drift. The LoanAmount, ExistingCreditsCount, LoanPurpose, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "LoanAmount",
                                                    "ExistingCreditsCount",
                                                    "LoanPurpose",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingCreditsCount",
                                                    "LoanPurpose",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "LoanAmount",
                                            "ExistingCreditsCount",
                                            "LoanPurpose",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, LoanAmount, ExistingCreditsCount, LoanPurpose, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 76
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 8,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPlans and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the Housing and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 4,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 18.75,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 6.25,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, EmploymentDuration, CreditHistory, InstallmentPlans, ExistingSavings feature values are unexpected compared to the training data. The CurrentResidenceDuration, EmploymentDuration, CreditHistory, InstallmentPlans, ExistingSavings feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "CreditHistory",
                                                    "InstallmentPlans",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "CreditHistory",
                                                    "InstallmentPlans",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "EmploymentDuration",
                                            "CreditHistory",
                                            "InstallmentPlans",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, EmploymentDuration, CreditHistory, InstallmentPlans, ExistingSavings features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 5,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, CurrentResidenceDuration feature values are unexpected compared to the training data. The CheckingStatus, CurrentResidenceDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the CreditHistory and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, OwnsProperty feature values are unexpected compared to the training data. The CreditHistory, OwnsProperty feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Housing",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Housing",
                                            "Age"
                                        ],
                                        "message": "The values of the Housing and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "message": "The values of the Age and ExistingCreditsCount features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, Housing, Telephone, ExistingCreditsCount feature values are unexpected compared to the training data. The Age feature(s) have some impact on drift. The Housing, Telephone, ExistingCreditsCount feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "Housing",
                                                    "Telephone",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "Telephone",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "Housing",
                                            "Telephone",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the Age, Housing, Telephone, ExistingCreditsCount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The LoanPurpose, EmploymentDuration, CurrentResidenceDuration feature values are unexpected compared to the training data. The LoanPurpose feature(s) have some impact on drift. The EmploymentDuration, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "EmploymentDuration",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "LoanPurpose",
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanPurpose, EmploymentDuration, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the OwnsProperty and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, InstallmentPercent feature values are unexpected compared to the training data. The OwnsProperty, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 23
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "0",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPlans and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPlans, CurrentResidenceDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The InstallmentPlans, CurrentResidenceDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPlans, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, CurrentResidenceDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The CheckingStatus, CurrentResidenceDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "3",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data and causing a drop in accuracy. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 5
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.017555555555555546,
                "predicted_accuracy": 0.7824444444444445,
                "data_drift_magnitude": 0.05
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "4",
                                "count": 16,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.318690511261336,
                                        "norm_importance": 23.339054156068286,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2797172284524528,
                                        "norm_importance": 20.484875804424828,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.2762435212068596,
                                        "norm_importance": 20.230481529533023,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2521807497263591,
                                        "norm_importance": 18.46826299184972,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.23864967995729947,
                                        "norm_importance": 17.47732551812414,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, LoanAmount, LoanDuration, EmploymentDuration, Sex feature values are causing a drop in accuracy. The ExistingSavings, LoanAmount, LoanDuration, EmploymentDuration, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "LoanDuration",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "LoanDuration",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "LoanDuration",
                                            "EmploymentDuration",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, LoanAmount, LoanDuration, EmploymentDuration, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 12,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.34275996581886475,
                                        "norm_importance": 23.56643419638399,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.32837810043866866,
                                        "norm_importance": 22.57761018569788,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.31128144487688925,
                                        "norm_importance": 21.4021309919351,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2584853294349907,
                                        "norm_importance": 17.772138272646192,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.21353651853724967,
                                        "norm_importance": 14.68168635333683,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, Sex, ExistingSavings, InstallmentPercent, LoanDuration feature values are causing a drop in accuracy. The LoanAmount, Sex, ExistingSavings, InstallmentPercent, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "Sex",
                                            "ExistingSavings",
                                            "InstallmentPercent",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, Sex, ExistingSavings, InstallmentPercent, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "7",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3951249737190042,
                                        "norm_importance": 23.142815375978447,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.38628791007177804,
                                        "norm_importance": 22.625220827275058,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.35311337205845217,
                                        "norm_importance": 20.682159113915045,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3031528798777989,
                                        "norm_importance": 17.75592938020013,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2696540789220891,
                                        "norm_importance": 15.793875302631315,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, InstallmentPercent feature values are causing a drop in accuracy. The LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 10,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.6240181103538179,
                                        "norm_importance": 36.532936887054,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3202787711626328,
                                        "norm_importance": 18.75061627059729,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.3023977374347657,
                                        "norm_importance": 17.703776978889774,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2422697243597744,
                                        "norm_importance": 14.183602050685987,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2191329615485818,
                                        "norm_importance": 12.829067812772957,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, LoanAmount, CurrentResidenceDuration, EmploymentDuration, Age feature values are causing a drop in accuracy. The Sex feature(s) have some impact on drift. The LoanAmount, CurrentResidenceDuration, EmploymentDuration, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "LoanAmount",
                                            "CurrentResidenceDuration",
                                            "EmploymentDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the Sex, LoanAmount, CurrentResidenceDuration, EmploymentDuration, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 9,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.37816981170022623,
                                        "norm_importance": 24.89052264804045,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3506104707497184,
                                        "norm_importance": 23.076611598373038,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3138452331953301,
                                        "norm_importance": 20.656783389733555,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.24703794859914685,
                                        "norm_importance": 16.25963644979343,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.22966908271597097,
                                        "norm_importance": 15.11644591405954,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, ExistingSavings, Age, InstallmentPercent, LoanDuration feature values are causing a drop in accuracy. The Sex, ExistingSavings, Age, InstallmentPercent, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "ExistingSavings",
                                            "Age",
                                            "InstallmentPercent",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the Sex, ExistingSavings, Age, InstallmentPercent, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "importance": 0.6919945043369002,
                                        "norm_importance": 36.59598316375841,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.32379083417985505,
                                        "norm_importance": 17.12360985811575,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.31904749716763264,
                                        "norm_importance": 16.872759482352055,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.28101137226781026,
                                        "norm_importance": 14.861227052940121,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2750586849701963,
                                        "norm_importance": 14.546420442833663,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Age, CurrentResidenceDuration, ExistingSavings, Sex, LoanAmount feature values are causing a drop in accuracy. The Age feature(s) have some impact on drift. The CurrentResidenceDuration, ExistingSavings, Sex, LoanAmount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "CurrentResidenceDuration",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "CurrentResidenceDuration",
                                            "ExistingSavings",
                                            "Sex",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the Age, CurrentResidenceDuration, ExistingSavings, Sex, LoanAmount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 6,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.44242031233756185,
                                        "norm_importance": 27.460446928952067,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.349268997896631,
                                        "norm_importance": 21.678667351400485,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.3024576725544899,
                                        "norm_importance": 18.77314995225588,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.26650011522171274,
                                        "norm_importance": 16.541311658904437,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2504712988686799,
                                        "norm_importance": 15.546424108487129,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, ExistingSavings, CheckingStatus, EmploymentDuration, InstallmentPercent feature values are causing a drop in accuracy. The LoanDuration, ExistingSavings, CheckingStatus, EmploymentDuration, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "CheckingStatus",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "CheckingStatus",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "CheckingStatus",
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, ExistingSavings, CheckingStatus, EmploymentDuration, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "8",
                                "count": 5,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.6011318259495794,
                                        "norm_importance": 26.77971689049663,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.46510595471829025,
                                        "norm_importance": 20.719924072835013,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.4209868496564453,
                                        "norm_importance": 18.754469754804308,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.41566850379907255,
                                        "norm_importance": 18.51754369260288,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "importance": 0.3418349502235543,
                                        "norm_importance": 15.228345589261172,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, EmploymentDuration, InstallmentPercent, LoanPurpose feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, EmploymentDuration, InstallmentPercent, LoanPurpose feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "InstallmentPercent",
                                            "LoanPurpose"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, EmploymentDuration, InstallmentPercent, LoanPurpose feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 2,
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.6528958792570391,
                                        "norm_importance": 25.882824915512657,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.58652076743689,
                                        "norm_importance": 23.251508877887396,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.45022423219874774,
                                        "norm_importance": 17.848289972333546,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4328425477241335,
                                        "norm_importance": 17.159225895983315,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.40002283530876204,
                                        "norm_importance": 15.85815033828308,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, Sex, LoanDuration, ExistingSavings, Age feature values are causing a drop in accuracy. The CurrentResidenceDuration, Sex, LoanDuration, ExistingSavings, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Sex",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Sex",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "Sex",
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, Sex, LoanDuration, ExistingSavings, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 78
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 6,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the Housing and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the LoanDuration and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "ForeignWorker",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "ForeignWorker",
                                            "LoanAmount"
                                        ],
                                        "message": "For the ForeignWorker feature the value of LoanAmount feature falls outside of the training data distribution."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 3,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ForeignWorker",
                                        "count": 1,
                                        "norm_importance": 8.333333333333334,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "count": 1,
                                        "norm_importance": 8.333333333333334,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 8.333333333333334,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, CurrentResidenceDuration, ForeignWorker, LoanAmount, EmploymentDuration feature values are unexpected compared to the training data. The CreditHistory, CurrentResidenceDuration, ForeignWorker, LoanAmount, EmploymentDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "CurrentResidenceDuration",
                                                    "ForeignWorker",
                                                    "LoanAmount",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "CurrentResidenceDuration",
                                                    "ForeignWorker",
                                                    "LoanAmount",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "CurrentResidenceDuration",
                                            "ForeignWorker",
                                            "LoanAmount",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, CurrentResidenceDuration, ForeignWorker, LoanAmount, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 4,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Telephone",
                                        "count": 4,
                                        "norm_importance": 40.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 4,
                                        "norm_importance": 40.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Telephone, Age, CreditHistory, EmploymentDuration feature values are unexpected compared to the training data. The Telephone, Age feature(s) have some impact on drift. The CreditHistory, EmploymentDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Telephone",
                                                    "Age",
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Telephone",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Telephone",
                                            "Age",
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the Telephone, Age, CreditHistory, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "0",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 4,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 2,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, LoanPurpose, OwnsProperty, InstallmentPercent feature values are unexpected compared to the training data. The EmploymentDuration feature(s) have some impact on drift. The LoanPurpose, OwnsProperty, InstallmentPercent feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "LoanPurpose",
                                                    "OwnsProperty",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "OwnsProperty",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "LoanPurpose",
                                            "OwnsProperty",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, LoanPurpose, OwnsProperty, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPercent and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CurrentResidenceDuration, CheckingStatus feature values are unexpected compared to the training data. The InstallmentPercent, CurrentResidenceDuration feature(s) have some impact on drift. The CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CurrentResidenceDuration, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "Age",
                                            "LoanDuration"
                                        ],
                                        "columns": [
                                            "Age",
                                            "LoanDuration"
                                        ],
                                        "message": "For the Age feature the value of the LoanDuration feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Age"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Age"
                                        ],
                                        "message": "The values of the OwnsProperty and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, LoanDuration, OwnsProperty, Telephone feature values are unexpected compared to the training data. The Age feature(s) have some impact on drift. The LoanDuration, OwnsProperty, Telephone feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "LoanDuration",
                                                    "OwnsProperty",
                                                    "Telephone"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "OwnsProperty",
                                                    "Telephone"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "LoanDuration",
                                            "OwnsProperty",
                                            "Telephone"
                                        ]
                                    ],
                                    "message": "Review the Age, LoanDuration, OwnsProperty, Telephone features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "Age"
                                        ],
                                        "message": "The values of the CheckingStatus and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, Age feature values are unexpected compared to the training data. The CheckingStatus, Age feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, EmploymentDuration, InstallmentPercent feature values are unexpected compared to the training data. The CheckingStatus feature(s) have some impact on drift. The EmploymentDuration, InstallmentPercent feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, EmploymentDuration, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "For the InstallmentPercent feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, Age, CheckingStatus feature values are unexpected compared to the training data. The InstallmentPercent feature(s) have some impact on drift. The Age, CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "Age",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, Age, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 18
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 1
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.05644444444444441,
                "predicted_accuracy": 0.7435555555555556,
                "data_drift_magnitude": 0.058333333333333334
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 19,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.42903847395970945,
                                        "norm_importance": 27.406966956725416,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.34686481319158075,
                                        "norm_importance": 22.157715567683876,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.28148160537932543,
                                        "norm_importance": 17.98103789237713,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.25502898267209456,
                                        "norm_importance": 16.291245017242385,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.25302193036142,
                                        "norm_importance": 16.163034565971195,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, Sex, InstallmentPercent, LoanDuration, EmploymentDuration feature values are causing a drop in accuracy. The LoanAmount, Sex, InstallmentPercent, LoanDuration, EmploymentDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "LoanDuration",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "LoanDuration",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "Sex",
                                            "InstallmentPercent",
                                            "LoanDuration",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, Sex, InstallmentPercent, LoanDuration, EmploymentDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 19,
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "importance": 0.4073375212913342,
                                        "norm_importance": 23.646924038079348,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.36546138933606626,
                                        "norm_importance": 21.215913734349996,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.3472647298989527,
                                        "norm_importance": 20.159553833862283,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3185492273662458,
                                        "norm_importance": 18.492549760793995,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2839685580695534,
                                        "norm_importance": 16.485058632914377,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Age, ExistingSavings, Sex, LoanDuration, LoanAmount feature values are causing a drop in accuracy. The Age, ExistingSavings, Sex, LoanDuration, LoanAmount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanDuration",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanDuration",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "ExistingSavings",
                                            "Sex",
                                            "LoanDuration",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the Age, ExistingSavings, Sex, LoanDuration, LoanAmount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 17,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.33844573088221397,
                                        "norm_importance": 23.169149174711816,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.33339474015080917,
                                        "norm_importance": 22.823370968466005,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.32730277631286187,
                                        "norm_importance": 22.406330344078658,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2746172248141385,
                                        "norm_importance": 18.79960911629427,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.18699981873410096,
                                        "norm_importance": 12.801540396449255,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, LoanDuration, ExistingSavings, LoanAmount, Age feature values are causing a drop in accuracy. The Sex, LoanDuration, ExistingSavings, LoanAmount, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the Sex, LoanDuration, ExistingSavings, LoanAmount, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 15,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.4166230159316292,
                                        "norm_importance": 24.195764025790258,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3641789630904732,
                                        "norm_importance": 21.150027524019734,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3412948983879493,
                                        "norm_importance": 19.82101446348337,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.33710655464267714,
                                        "norm_importance": 19.577772556425284,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.26268067744491264,
                                        "norm_importance": 15.255421430281366,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, Age feature values are causing a drop in accuracy. The LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, EmploymentDuration, ExistingSavings, LoanDuration, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 13,
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3978289979767258,
                                        "norm_importance": 26.928611866741136,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2996855065177351,
                                        "norm_importance": 20.285385751533216,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.29570571131970647,
                                        "norm_importance": 20.015997746280007,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2554281026692671,
                                        "norm_importance": 17.28965025581469,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.22869852711492536,
                                        "norm_importance": 15.480354379630947,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, ExistingSavings, LoanAmount, Sex, InstallmentPercent feature values are causing a drop in accuracy. The EmploymentDuration, ExistingSavings, LoanAmount, Sex, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Sex",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Sex",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, ExistingSavings, LoanAmount, Sex, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.5283555933715852,
                                        "norm_importance": 23.501225193612417,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.5156791916673614,
                                        "norm_importance": 22.93737960395072,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.5027762331291548,
                                        "norm_importance": 22.363456779863238,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3840714554449054,
                                        "norm_importance": 17.08347536788776,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "importance": 0.3173219881492301,
                                        "norm_importance": 14.114463054685867,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, LoanPurpose feature values are causing a drop in accuracy. The InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, LoanPurpose feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "LoanPurpose"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, LoanPurpose feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 2,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.993050869887339,
                                        "norm_importance": 31.54891021923749,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Job",
                                        "importance": 0.8284706137561997,
                                        "norm_importance": 26.32024783950513,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.4673220942393525,
                                        "norm_importance": 14.84667426583697,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "importance": 0.44116447379652246,
                                        "norm_importance": 14.015654985834367,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.4176470114796593,
                                        "norm_importance": 13.268512689586048,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, Job, LoanDuration, CreditHistory, Age feature values are causing a drop in accuracy. The InstallmentPercent feature(s) have some impact on drift. The Job, LoanDuration, CreditHistory, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "Job",
                                                    "LoanDuration",
                                                    "CreditHistory",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Job",
                                                    "LoanDuration",
                                                    "CreditHistory",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "Job",
                                            "LoanDuration",
                                            "CreditHistory",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, Job, LoanDuration, CreditHistory, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 92
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 6,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the CreditHistory and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "message": "For the OwnsProperty feature the value of LoanAmount feature falls outside of the training data distribution."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPlans and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 2,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "count": 1,
                                        "norm_importance": 8.333333333333334,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 8.333333333333334,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, CurrentResidenceDuration, CreditHistory, LoanAmount, CheckingStatus feature values are unexpected compared to the training data. The OwnsProperty, CurrentResidenceDuration, CreditHistory, LoanAmount, CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration",
                                                    "CreditHistory",
                                                    "LoanAmount",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration",
                                                    "CreditHistory",
                                                    "LoanAmount",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "CurrentResidenceDuration",
                                            "CreditHistory",
                                            "LoanAmount",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, CurrentResidenceDuration, CreditHistory, LoanAmount, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "The values of the InstallmentPercent and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "Age"
                                        ],
                                        "message": "The values of the CheckingStatus and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 4,
                                        "norm_importance": 40.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 3,
                                        "norm_importance": 30.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 20.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CreditHistory, Age, CheckingStatus feature values are unexpected compared to the training data. The InstallmentPercent feature(s) have some impact on drift. The CreditHistory, Age, CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CreditHistory",
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CreditHistory",
                                            "Age",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CreditHistory, Age, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the CreditHistory and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 4,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 37.5,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data. The CreditHistory, EmploymentDuration feature(s) have some impact on drift. The OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPercent and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 4,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 2,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 2,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CheckingStatus, CurrentResidenceDuration feature values are unexpected compared to the training data. The InstallmentPercent feature(s) have some impact on drift. The CheckingStatus, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CheckingStatus, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Job",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPlans, Job feature values are unexpected compared to the training data. The InstallmentPlans, Job feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPlans",
                                            "Job"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPlans, Job features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the ExistingSavings and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, ExistingSavings, EmploymentDuration, Housing feature values are unexpected compared to the training data. The OwnsProperty feature(s) have some impact on drift. The ExistingSavings, EmploymentDuration, Housing feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, ExistingSavings, EmploymentDuration, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "message": "The values of the CreditHistory and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Housing, CreditHistory, OwnsProperty feature values are unexpected compared to the training data. The Housing feature(s) have some impact on drift. The CreditHistory, OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Housing",
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the Housing, CreditHistory, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, CheckingStatus, CurrentResidenceDuration feature values are unexpected compared to the training data. The EmploymentDuration feature(s) have some impact on drift. The CheckingStatus, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, CheckingStatus, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 21
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the CreditHistory and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, CheckingStatus, CurrentResidenceDuration, EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory feature(s) have some impact on drift. The CheckingStatus, CurrentResidenceDuration, EmploymentDuration, OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "CheckingStatus",
                                            "CurrentResidenceDuration",
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, CheckingStatus, CurrentResidenceDuration, EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "1",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "message": "The values of the CreditHistory and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The Housing, CreditHistory, OwnsProperty feature values are unexpected compared to the training data and causing a drop in accuracy. The Housing feature(s) have some impact on drift. The CreditHistory, OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "Housing",
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the Housing, CreditHistory, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, CheckingStatus, CurrentResidenceDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The EmploymentDuration feature(s) have some impact on drift. The CheckingStatus, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, CheckingStatus, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 5
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.01200000000000001,
                "predicted_accuracy": 0.788,
                "data_drift_magnitude": 0.06666666666666667
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 27,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2873741479264566,
                                        "norm_importance": 22.75036556405307,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2752215610016699,
                                        "norm_importance": 21.7882894793296,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.24879188779053263,
                                        "norm_importance": 19.695948426279443,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2431794764229854,
                                        "norm_importance": 19.251634241343705,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.20859569722071336,
                                        "norm_importance": 16.513762288994194,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, EmploymentDuration, LoanAmount, ExistingSavings, LoanDuration feature values are causing a drop in accuracy. The Sex, EmploymentDuration, LoanAmount, ExistingSavings, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "EmploymentDuration",
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "EmploymentDuration",
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "EmploymentDuration",
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the Sex, EmploymentDuration, LoanAmount, ExistingSavings, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.34127968927134034,
                                        "norm_importance": 22.746447287480958,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.3004162051204757,
                                        "norm_importance": 20.022877390294834,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3001104889035806,
                                        "norm_importance": 20.002501264697152,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2879210504063359,
                                        "norm_importance": 19.190069617113455,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2706373703403106,
                                        "norm_importance": 18.038104440413598,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, CurrentResidenceDuration, LoanDuration, LoanAmount, ExistingSavings feature values are causing a drop in accuracy. The Sex, CurrentResidenceDuration, LoanDuration, LoanAmount, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "CurrentResidenceDuration",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "CurrentResidenceDuration",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "CurrentResidenceDuration",
                                            "LoanDuration",
                                            "LoanAmount",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the Sex, CurrentResidenceDuration, LoanDuration, LoanAmount, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 9,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.4758074052611188,
                                        "norm_importance": 23.561749064632124,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4624103518177457,
                                        "norm_importance": 22.898333556701992,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.4017921654807595,
                                        "norm_importance": 19.896550735685665,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.39775665397118415,
                                        "norm_importance": 19.696714187358157,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2816395548049163,
                                        "norm_importance": 13.946652455622063,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, Age feature values are causing a drop in accuracy. The InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, ExistingSavings, LoanAmount, EmploymentDuration, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.5065043477870199,
                                        "norm_importance": 32.03128966617221,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3404217432780866,
                                        "norm_importance": 21.52824060690747,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.26593340604060545,
                                        "norm_importance": 16.81760482020628,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.24057565763635544,
                                        "norm_importance": 15.213983078424139,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.22784475332835902,
                                        "norm_importance": 14.408881828289907,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, Age, EmploymentDuration, CheckingStatus, ExistingSavings feature values are causing a drop in accuracy. The Sex feature(s) have some impact on drift. The Age, EmploymentDuration, CheckingStatus, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "CheckingStatus",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "CheckingStatus",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "Age",
                                            "EmploymentDuration",
                                            "CheckingStatus",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the Sex, Age, EmploymentDuration, CheckingStatus, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.6961241714379091,
                                        "norm_importance": 33.843052652022735,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3753131757506093,
                                        "norm_importance": 18.246376277509665,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.37271529470749504,
                                        "norm_importance": 18.120076648028043,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3195120820331535,
                                        "norm_importance": 15.533527865969116,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.2932542502411583,
                                        "norm_importance": 14.256966556470452,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, LoanDuration, ExistingSavings, Age, CurrentResidenceDuration feature values are causing a drop in accuracy. The LoanAmount feature(s) have some impact on drift. The LoanDuration, ExistingSavings, Age, CurrentResidenceDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "Age",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, LoanDuration, ExistingSavings, Age, CurrentResidenceDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3593701559307586,
                                        "norm_importance": 23.251854224242074,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3466691179309208,
                                        "norm_importance": 22.430075678653306,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3004982767618718,
                                        "norm_importance": 19.44274450894925,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.28131541884073336,
                                        "norm_importance": 18.201581299857956,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2577018601203774,
                                        "norm_importance": 16.673744288297414,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, Age, EmploymentDuration, ExistingSavings, Sex feature values are causing a drop in accuracy. The LoanAmount, Age, EmploymentDuration, ExistingSavings, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Age",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "Age",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, Age, EmploymentDuration, ExistingSavings, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3957996602836809,
                                        "norm_importance": 26.140020438555617,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3660247240375412,
                                        "norm_importance": 24.17357751267504,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.27388588322954793,
                                        "norm_importance": 18.088400026217574,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.24031953437522918,
                                        "norm_importance": 15.871558696766447,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2381222669832132,
                                        "norm_importance": 15.726443325785322,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, ExistingSavings, LoanAmount, Age, Sex feature values are causing a drop in accuracy. The LoanDuration, ExistingSavings, LoanAmount, Age, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Age",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, ExistingSavings, LoanAmount, Age, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 76
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 8,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "Age"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "Age"
                                        ],
                                        "message": "For the EmploymentDuration feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "LoanAmount"
                                        ],
                                        "message": "For the LoanPurpose feature the value of LoanAmount feature falls outside of the training data distribution."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "Age",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "LoanAmount"
                                        ],
                                        "message": "For the Age feature the value of LoanAmount feature falls outside of the training data distribution."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the Housing and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 4,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, Age, LoanPurpose, LoanAmount, InstallmentPercent feature values are unexpected compared to the training data. The EmploymentDuration, Age, LoanPurpose, LoanAmount, InstallmentPercent feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "LoanPurpose",
                                                    "LoanAmount",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "LoanPurpose",
                                                    "LoanAmount",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "Age",
                                            "LoanPurpose",
                                            "LoanAmount",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, Age, LoanPurpose, LoanAmount, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 30.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration, InstallmentPercent, CurrentResidenceDuration feature values are unexpected compared to the training data. The CreditHistory feature(s) have some impact on drift. The EmploymentDuration, InstallmentPercent, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration",
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration, InstallmentPercent, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Job",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPlans, Job feature values are unexpected compared to the training data. The InstallmentPlans, Job feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPlans",
                                            "Job"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPlans, Job features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "message": "The values of the Age and ExistingCreditsCount features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, ExistingCreditsCount feature values are unexpected compared to the training data. The Age, ExistingCreditsCount feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the Age, ExistingCreditsCount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Telephone",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Telephone, Age feature values are unexpected compared to the training data. The Telephone, Age feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Telephone",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Telephone",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Telephone",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the Telephone, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, EmploymentDuration feature values are unexpected compared to the training data. The CheckingStatus, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "8",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, CurrentResidenceDuration feature values are unexpected compared to the training data. The CreditHistory, CurrentResidenceDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 24
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "Housing",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the Housing and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The Housing, CreditHistory, EmploymentDuration, OwnsProperty, CurrentResidenceDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The Housing feature(s) have some impact on drift. The CreditHistory, EmploymentDuration, OwnsProperty, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "Housing",
                                            "CreditHistory",
                                            "EmploymentDuration",
                                            "OwnsProperty",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the Housing, CreditHistory, EmploymentDuration, OwnsProperty, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "1",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "LoanAmount"
                                        ],
                                        "message": "For the LoanPurpose feature the value of LoanAmount feature falls outside of the training data distribution."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The LoanPurpose, LoanAmount feature values are unexpected compared to the training data and causing a drop in accuracy. The LoanPurpose, LoanAmount feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "LoanPurpose",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the LoanPurpose, LoanAmount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 4
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.034222222222222265,
                "predicted_accuracy": 0.7657777777777778,
                "data_drift_magnitude": 0.08888888888888889
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "5",
                                "count": 23,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.31881213136592734,
                                        "norm_importance": 24.581295159642487,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2776711172662552,
                                        "norm_importance": 21.409209434992626,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.26935528605433673,
                                        "norm_importance": 20.7680358992111,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.23873743386352755,
                                        "norm_importance": 18.407314998685724,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.19239446891230638,
                                        "norm_importance": 14.83414450746808,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, InstallmentPercent, EmploymentDuration, Sex, ExistingSavings feature values are causing a drop in accuracy. The LoanAmount, InstallmentPercent, EmploymentDuration, Sex, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "Sex",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, InstallmentPercent, EmploymentDuration, Sex, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 12,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.312495734829505,
                                        "norm_importance": 23.803975861650528,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3082404618951366,
                                        "norm_importance": 23.479835712122714,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3033413145932876,
                                        "norm_importance": 23.106649229499165,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.1983058967201066,
                                        "norm_importance": 15.105706262915325,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.19040457597665242,
                                        "norm_importance": 14.50383293381226,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, ExistingSavings, LoanAmount, InstallmentPercent, LoanDuration feature values are causing a drop in accuracy. The Sex, ExistingSavings, LoanAmount, InstallmentPercent, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the Sex, ExistingSavings, LoanAmount, InstallmentPercent, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3924566043009218,
                                        "norm_importance": 27.187863498691843,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.27387208752498704,
                                        "norm_importance": 18.972790494874197,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.27240084453353636,
                                        "norm_importance": 18.870868516274246,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2647696852294951,
                                        "norm_importance": 18.34221155083824,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "importance": 0.2400000232848064,
                                        "norm_importance": 16.62626593932147,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, LoanAmount, Age, Sex, ExistingCreditsCount feature values are causing a drop in accuracy. The ExistingSavings, LoanAmount, Age, Sex, ExistingCreditsCount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "Sex",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "Sex",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Age",
                                            "Sex",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, LoanAmount, Age, Sex, ExistingCreditsCount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 10,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.6294153939418271,
                                        "norm_importance": 36.20971641956059,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2987457350556296,
                                        "norm_importance": 17.186580519060715,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.27431368133177014,
                                        "norm_importance": 15.781025864053047,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.2693738037291448,
                                        "norm_importance": 15.496839031541393,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2664013811882495,
                                        "norm_importance": 15.325838165784244,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, EmploymentDuration, ExistingSavings, LoanAmount, Age feature values are causing a drop in accuracy. The Sex feature(s) have some impact on drift. The EmploymentDuration, ExistingSavings, LoanAmount, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the Sex, EmploymentDuration, ExistingSavings, LoanAmount, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 8,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.4138062535018659,
                                        "norm_importance": 24.680136915199654,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4112719880805427,
                                        "norm_importance": 24.52898884276621,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.33321505409513374,
                                        "norm_importance": 19.87353522978231,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.28036695427026354,
                                        "norm_importance": 16.721581076484203,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.2380170510075899,
                                        "norm_importance": 14.195757935767617,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, ExistingSavings, LoanAmount, EmploymentDuration, CheckingStatus feature values are causing a drop in accuracy. The LoanDuration, ExistingSavings, LoanAmount, EmploymentDuration, CheckingStatus feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, ExistingSavings, LoanAmount, EmploymentDuration, CheckingStatus feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.35022995908900584,
                                        "norm_importance": 25.387658142860214,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2888510069776978,
                                        "norm_importance": 20.93838756240463,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2674821969924557,
                                        "norm_importance": 19.389393740641953,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.23954275148235332,
                                        "norm_importance": 17.364104147608348,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.23342250481173607,
                                        "norm_importance": 16.92045640648486,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, ExistingSavings, Age, CheckingStatus, InstallmentPercent feature values are causing a drop in accuracy. The CurrentResidenceDuration, ExistingSavings, Age, CheckingStatus, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "CheckingStatus",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "ExistingSavings",
                                                    "Age",
                                                    "CheckingStatus",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "ExistingSavings",
                                            "Age",
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, ExistingSavings, Age, CheckingStatus, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 6,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.7723510408995127,
                                        "norm_importance": 33.71535535491208,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.48737310558741154,
                                        "norm_importance": 21.275244772337345,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.42103938827045456,
                                        "norm_importance": 18.37958627908432,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.32276154270030677,
                                        "norm_importance": 14.089474255601198,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.28727397469285626,
                                        "norm_importance": 12.540339338065076,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, InstallmentPercent, EmploymentDuration, LoanDuration feature values are causing a drop in accuracy. The LoanAmount feature(s) have some impact on drift. The ExistingSavings, InstallmentPercent, EmploymentDuration, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, InstallmentPercent, EmploymentDuration, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "7",
                                "count": 6,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.4211176726782196,
                                        "norm_importance": 26.77376820436074,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2955890861680366,
                                        "norm_importance": 18.792926989908164,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.288854081226888,
                                        "norm_importance": 18.364729664436805,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2840147895918163,
                                        "norm_importance": 18.057057769104798,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.28329849647179556,
                                        "norm_importance": 18.0115173721895,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, EmploymentDuration, LoanDuration, ExistingSavings, Sex feature values are causing a drop in accuracy. The LoanAmount, EmploymentDuration, LoanDuration, ExistingSavings, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, EmploymentDuration, LoanDuration, ExistingSavings, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "8",
                                "count": 1,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.8531781094270403,
                                        "norm_importance": 25.290832630495796,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.7714014103206156,
                                        "norm_importance": 22.866718852466587,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Job",
                                        "importance": 0.6529016893736876,
                                        "norm_importance": 19.35402135576001,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.6258176514548123,
                                        "norm_importance": 18.551166872744407,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPlans",
                                        "importance": 0.47016899590823086,
                                        "norm_importance": 13.93726028853321,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CurrentResidenceDuration, Job, LoanAmount, InstallmentPlans feature values are causing a drop in accuracy. The InstallmentPercent, CurrentResidenceDuration, Job, LoanAmount, InstallmentPlans feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration",
                                                    "Job",
                                                    "LoanAmount",
                                                    "InstallmentPlans"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration",
                                                    "Job",
                                                    "LoanAmount",
                                                    "InstallmentPlans"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration",
                                            "Job",
                                            "LoanAmount",
                                            "InstallmentPlans"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CurrentResidenceDuration, Job, LoanAmount, InstallmentPlans feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 84
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 8,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "CurrentResidenceDuration",
                                            "LoanDuration"
                                        ],
                                        "columns": [
                                            "CurrentResidenceDuration",
                                            "LoanDuration"
                                        ],
                                        "message": "For the CurrentResidenceDuration feature the value of the LoanDuration feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CheckingStatus and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "Age"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "Age"
                                        ],
                                        "message": "For the ExistingSavings feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "LoanDuration",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "LoanDuration",
                                            "LoanAmount"
                                        ],
                                        "message": "For the LoanDuration feature the value of the LoanAmount feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "columns": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "message": "The values of the OthersOnLoan and Telephone features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 3,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "count": 2,
                                        "norm_importance": 11.11111111111111,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 2,
                                        "norm_importance": 11.11111111111111,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 5.555555555555555,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, CurrentResidenceDuration, LoanDuration, CheckingStatus, Age feature values are unexpected compared to the training data. The ExistingSavings, CurrentResidenceDuration, LoanDuration, CheckingStatus, Age feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "CurrentResidenceDuration",
                                                    "LoanDuration",
                                                    "CheckingStatus",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "CurrentResidenceDuration",
                                                    "LoanDuration",
                                                    "CheckingStatus",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "CurrentResidenceDuration",
                                            "LoanDuration",
                                            "CheckingStatus",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, CurrentResidenceDuration, LoanDuration, CheckingStatus, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 7,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 7,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 7,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, EmploymentDuration feature values are unexpected compared to the training data. The ExistingSavings, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPercent and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CurrentResidenceDuration feature values are unexpected compared to the training data. The InstallmentPercent, CurrentResidenceDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 4,
                                        "norm_importance": 40.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 3,
                                        "norm_importance": 30.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 20.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, LoanPurpose, InstallmentPercent, CurrentResidenceDuration feature values are unexpected compared to the training data. The EmploymentDuration feature(s) have some impact on drift. The LoanPurpose, InstallmentPercent, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "LoanPurpose",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "LoanPurpose",
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, LoanPurpose, InstallmentPercent, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration feature values are unexpected compared to the training data. The CreditHistory, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CheckingStatus and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CheckingStatus, EmploymentDuration feature values are unexpected compared to the training data. The CheckingStatus, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CheckingStatus",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CheckingStatus, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "message": "The values of the CreditHistory and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Housing",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Housing, CreditHistory, OwnsProperty feature values are unexpected compared to the training data. The Housing, CreditHistory feature(s) have some impact on drift. The OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Housing",
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the Housing, CreditHistory, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Job",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPlans, Job feature values are unexpected compared to the training data. The InstallmentPlans, Job feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPlans",
                                            "Job"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPlans, Job features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "8",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 32
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "message": "The values of the CreditHistory and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Housing",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The Housing, OwnsProperty, CreditHistory feature values are unexpected compared to the training data and causing a drop in accuracy. The Housing, OwnsProperty feature(s) have some impact on drift. The CreditHistory feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "OwnsProperty",
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Housing",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "Housing",
                                            "OwnsProperty",
                                            "CreditHistory"
                                        ]
                                    ],
                                    "message": "Review the Housing, OwnsProperty, CreditHistory features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "0",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "3",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Job",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPlans, Job feature values are unexpected compared to the training data and causing a drop in accuracy. The InstallmentPlans, Job feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "InstallmentPlans",
                                            "Job"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPlans, Job features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 5
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.04533333333333334,
                "predicted_accuracy": 0.7546666666666667,
                "data_drift_magnitude": 0.05277777777777778
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 15,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.4933069624407396,
                                        "norm_importance": 32.682064986590284,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.34559890510469593,
                                        "norm_importance": 22.89626284624548,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2521813582950638,
                                        "norm_importance": 16.707259713967574,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.21630628174592312,
                                        "norm_importance": 14.330501077971707,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.20201834458126472,
                                        "norm_importance": 13.383911375224953,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, InstallmentPercent, EmploymentDuration, Sex, Age feature values are causing a drop in accuracy. The LoanAmount feature(s) have some impact on drift. The InstallmentPercent, EmploymentDuration, Sex, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "Sex",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, InstallmentPercent, EmploymentDuration, Sex, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 14,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.48208990992644246,
                                        "norm_importance": 26.548629939914985,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.42176282475489296,
                                        "norm_importance": 23.226425042870837,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3290007209630753,
                                        "norm_importance": 18.118027801383843,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3196894962617222,
                                        "norm_importance": 17.605259842972647,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.26333195771259754,
                                        "norm_importance": 14.50165737285769,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, ExistingSavings, EmploymentDuration, Age, LoanAmount feature values are causing a drop in accuracy. The LoanDuration, ExistingSavings, EmploymentDuration, Age, LoanAmount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "Age",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, ExistingSavings, EmploymentDuration, Age, LoanAmount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.38135303284150784,
                                        "norm_importance": 25.154920915826096,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.34174970461596177,
                                        "norm_importance": 22.542594531283747,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2984804720968151,
                                        "norm_importance": 19.688456689511334,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.29208804686794554,
                                        "norm_importance": 19.26679765642486,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.20234636143313517,
                                        "norm_importance": 13.347230206953958,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, Sex, Age, ExistingSavings, EmploymentDuration feature values are causing a drop in accuracy. The LoanAmount, Sex, Age, ExistingSavings, EmploymentDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "Age",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "Sex",
                                                    "Age",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "Sex",
                                            "Age",
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, Sex, Age, ExistingSavings, EmploymentDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "7",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3403630647541446,
                                        "norm_importance": 22.933806249812346,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.32466197260045776,
                                        "norm_importance": 21.875860066306203,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.32271203742312404,
                                        "norm_importance": 21.74447261511796,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2489572236307889,
                                        "norm_importance": 16.77484228602743,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Housing",
                                        "importance": 0.2474163679442608,
                                        "norm_importance": 16.671018782736077,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, LoanDuration, LoanAmount, EmploymentDuration, Housing feature values are causing a drop in accuracy. The ExistingSavings, LoanDuration, LoanAmount, EmploymentDuration, Housing feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, LoanDuration, LoanAmount, EmploymentDuration, Housing feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 10,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.30042851860564285,
                                        "norm_importance": 22.91013689999668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.29189544169553205,
                                        "norm_importance": 22.259419847247592,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.24618426910512156,
                                        "norm_importance": 18.773568281736424,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Job",
                                        "importance": 0.24060701447499194,
                                        "norm_importance": 18.34825690418996,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2322192100201474,
                                        "norm_importance": 17.708618066829327,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, InstallmentPercent, EmploymentDuration, Job, Age feature values are causing a drop in accuracy. The ExistingSavings, InstallmentPercent, EmploymentDuration, Job, Age feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Job",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Job",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "Job",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, InstallmentPercent, EmploymentDuration, Job, Age feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "8",
                                "count": 10,
                                "top_features": [
                                    {
                                        "feature": "Sex",
                                        "importance": 0.6249731581987101,
                                        "norm_importance": 35.880675685253536,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.30125376096713585,
                                        "norm_importance": 17.29544437936951,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.29256246582038914,
                                        "norm_importance": 16.79646368179196,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.26302878403360064,
                                        "norm_importance": 15.100889329387035,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2599917224130772,
                                        "norm_importance": 14.926526924197974,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Sex, Age, LoanAmount, EmploymentDuration, InstallmentPercent feature values are causing a drop in accuracy. The Sex feature(s) have some impact on drift. The Age, LoanAmount, EmploymentDuration, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Sex",
                                                    "Age",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Sex",
                                            "Age",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the Sex, Age, LoanAmount, EmploymentDuration, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 9,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.520644021375638,
                                        "norm_importance": 28.929282411564554,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.36970953605552626,
                                        "norm_importance": 20.5426954688532,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3451000309131357,
                                        "norm_importance": 19.17528262045056,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2840423277829703,
                                        "norm_importance": 15.782646837200835,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.28021696291569276,
                                        "norm_importance": 15.570092661930845,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, EmploymentDuration, ExistingSavings, Sex, LoanDuration feature values are causing a drop in accuracy. The LoanAmount, EmploymentDuration, ExistingSavings, Sex, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "Sex",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, EmploymentDuration, ExistingSavings, Sex, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 5,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.5143769639059109,
                                        "norm_importance": 25.067465861209943,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.4966209125347015,
                                        "norm_importance": 24.202148705095816,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4313706885878861,
                                        "norm_importance": 21.022267264055444,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3213328383380595,
                                        "norm_importance": 15.65972141123802,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "importance": 0.28826893441645407,
                                        "norm_importance": 14.048396758400775,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, LoanAmount, ExistingSavings, EmploymentDuration, LoanPurpose feature values are causing a drop in accuracy. The InstallmentPercent, LoanAmount, ExistingSavings, EmploymentDuration, LoanPurpose feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "LoanPurpose"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, LoanAmount, ExistingSavings, EmploymentDuration, LoanPurpose feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 3,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.9586150357104145,
                                        "norm_importance": 32.32934244267997,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.6735305261719559,
                                        "norm_importance": 22.714852380835676,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4819802785736261,
                                        "norm_importance": 16.254810216989128,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.42722811478885075,
                                        "norm_importance": 14.408290616799563,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "importance": 0.42380080288251704,
                                        "norm_importance": 14.29270434269567,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, InstallmentPercent, ExistingSavings, EmploymentDuration, ExistingCreditsCount feature values are causing a drop in accuracy. The LoanAmount feature(s) have some impact on drift. The InstallmentPercent, ExistingSavings, EmploymentDuration, ExistingCreditsCount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, InstallmentPercent, ExistingSavings, EmploymentDuration, ExistingCreditsCount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 88
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 7,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "The values of the InstallmentPercent and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "message": "For the OwnsProperty feature the value of LoanAmount feature falls outside of the training data distribution."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 21.428571428571427,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 14.285714285714286,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 2,
                                        "norm_importance": 14.285714285714286,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 14.285714285714286,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 14.285714285714286,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, OwnsProperty, CreditHistory, InstallmentPercent, Age feature values are unexpected compared to the training data. The EmploymentDuration, OwnsProperty, CreditHistory, InstallmentPercent, Age feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty",
                                                    "CreditHistory",
                                                    "InstallmentPercent",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty",
                                                    "CreditHistory",
                                                    "InstallmentPercent",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "OwnsProperty",
                                            "CreditHistory",
                                            "InstallmentPercent",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, OwnsProperty, CreditHistory, InstallmentPercent, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Telephone"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Telephone"
                                        ],
                                        "message": "The values of the CreditHistory and Telephone features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 3,
                                        "norm_importance": 37.5,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 3,
                                        "norm_importance": 37.5,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing, CreditHistory, Telephone feature values are unexpected compared to the training data. The OwnsProperty, Housing feature(s) have some impact on drift. The CreditHistory, Telephone feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing",
                                                    "CreditHistory",
                                                    "Telephone"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "Telephone"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing",
                                            "CreditHistory",
                                            "Telephone"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing, CreditHistory, Telephone features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "message": "The values of the CurrentResidenceDuration and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the LoanDuration and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "message": "The values of the Age and ExistingCreditsCount features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 4,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 4,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "count": 2,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "count": 2,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, Age, LoanDuration, ExistingCreditsCount feature values are unexpected compared to the training data. The CurrentResidenceDuration, Age feature(s) have some impact on drift. The LoanDuration, ExistingCreditsCount feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age",
                                                    "LoanDuration",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "Age",
                                            "LoanDuration",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, Age, LoanDuration, ExistingCreditsCount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 2,
                                        "norm_importance": 33.333333333333336,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, LoanPurpose, OwnsProperty feature values are unexpected compared to the training data. The EmploymentDuration, LoanPurpose feature(s) have some impact on drift. The OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "LoanPurpose",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "LoanPurpose",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, LoanPurpose, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, InstallmentPercent feature values are unexpected compared to the training data. The EmploymentDuration, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "For the InstallmentPercent feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, Age, CheckingStatus feature values are unexpected compared to the training data. The InstallmentPercent feature(s) have some impact on drift. The Age, CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "Age",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, Age, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "LoanDuration"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "LoanDuration"
                                        ],
                                        "message": "The values of the OwnsProperty and LoanDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "LoanDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the LoanDuration and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, OwnsProperty, CurrentResidenceDuration feature values are unexpected compared to the training data. The LoanDuration feature(s) have some impact on drift. The OwnsProperty, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "OwnsProperty",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, OwnsProperty, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "message": "The values of the CurrentResidenceDuration and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, Age feature values are unexpected compared to the training data. The CurrentResidenceDuration, Age feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 19
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data and causing a drop in accuracy. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "2",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The EmploymentDuration, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "1",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "3",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ],
                                        "message": "The values of the CurrentResidenceDuration and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, Age feature values are unexpected compared to the training data and causing a drop in accuracy. The CurrentResidenceDuration, Age feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "4",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "5",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, EmploymentDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The ExistingSavings, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 8
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.003666666666666707,
                "predicted_accuracy": 0.7963333333333333,
                "data_drift_magnitude": 0.05555555555555555
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 20,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.33881011082778667,
                                        "norm_importance": 24.143092532397073,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.31116440703292814,
                                        "norm_importance": 22.17310178090569,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2771604514694518,
                                        "norm_importance": 19.750031691200448,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.239263882209571,
                                        "norm_importance": 17.04957987745056,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2369429547062724,
                                        "norm_importance": 16.88419411804622,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, InstallmentPercent, EmploymentDuration, Sex feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, InstallmentPercent, EmploymentDuration, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, InstallmentPercent, EmploymentDuration, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "2",
                                "count": 15,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.41860904095332063,
                                        "norm_importance": 23.045757952764497,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3953982559610561,
                                        "norm_importance": 21.76793048012509,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3940973337891153,
                                        "norm_importance": 21.696310580512662,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3243142693238953,
                                        "norm_importance": 17.85453112633467,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2840066730056988,
                                        "norm_importance": 15.63546986026306,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, LoanDuration, EmploymentDuration, Sex feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, LoanDuration, EmploymentDuration, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "EmploymentDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "EmploymentDuration",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, LoanDuration, EmploymentDuration, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 14,
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "importance": 0.38461645162325775,
                                        "norm_importance": 24.97868678310088,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3234932334261761,
                                        "norm_importance": 21.009075717125068,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2811809889827635,
                                        "norm_importance": 18.26113215781713,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2809357098341426,
                                        "norm_importance": 18.245202649336747,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2695521279626597,
                                        "norm_importance": 17.50590269262017,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The Age, LoanAmount, EmploymentDuration, Sex, ExistingSavings feature values are causing a drop in accuracy. The Age, LoanAmount, EmploymentDuration, Sex, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "LoanAmount",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "LoanAmount",
                                            "EmploymentDuration",
                                            "Sex",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the Age, LoanAmount, EmploymentDuration, Sex, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 11,
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.4725041353858252,
                                        "norm_importance": 24.766286255390828,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.46135175374664533,
                                        "norm_importance": 24.18173459664236,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.40781120194438275,
                                        "norm_importance": 21.375408613646115,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.30397013681863183,
                                        "norm_importance": 15.932583141083745,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.26221496485293794,
                                        "norm_importance": 13.743987393236948,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, Sex, LoanAmount, Age, ExistingSavings feature values are causing a drop in accuracy. The EmploymentDuration, Sex, LoanAmount, Age, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "Age",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "Age",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "Sex",
                                            "LoanAmount",
                                            "Age",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, Sex, LoanAmount, Age, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3902988519253224,
                                        "norm_importance": 24.283095067368308,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.3867657239025656,
                                        "norm_importance": 24.06327560533668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2963105005449484,
                                        "norm_importance": 18.435452778552335,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2747188831124248,
                                        "norm_importance": 17.092094231157642,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.2591923062997255,
                                        "norm_importance": 16.126082317585034,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, CurrentResidenceDuration, Age, Sex, ExistingSavings feature values are causing a drop in accuracy. The LoanAmount, CurrentResidenceDuration, Age, Sex, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "Age",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "Age",
                                                    "Sex",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "CurrentResidenceDuration",
                                            "Age",
                                            "Sex",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, CurrentResidenceDuration, Age, Sex, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 5,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.6175632106058364,
                                        "norm_importance": 29.193230055471393,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.4629590769994791,
                                        "norm_importance": 21.88483803602202,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3830152797344386,
                                        "norm_importance": 18.10576307659108,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3647268828423204,
                                        "norm_importance": 17.241240435591116,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "importance": 0.28716850955679735,
                                        "norm_importance": 13.574928396324376,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, InstallmentPercent, ExistingSavings, EmploymentDuration, LoanPurpose feature values are causing a drop in accuracy. The LoanAmount, InstallmentPercent, ExistingSavings, EmploymentDuration, LoanPurpose feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "LoanPurpose"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "LoanPurpose"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, InstallmentPercent, ExistingSavings, EmploymentDuration, LoanPurpose feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 1,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 1.4469024167096594,
                                        "norm_importance": 46.47954671148105,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.6447761818093914,
                                        "norm_importance": 20.71245739502671,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.5541057144806402,
                                        "norm_importance": 17.79980608358435,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2565958481341835,
                                        "norm_importance": 8.24275263596998,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.21060720445128864,
                                        "norm_importance": 6.7654371739378965,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, InstallmentPercent, EmploymentDuration, Sex, CheckingStatus feature values are causing a drop in accuracy. The LoanDuration feature(s) have some impact on drift. The InstallmentPercent, EmploymentDuration, Sex, CheckingStatus feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "Sex",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, InstallmentPercent, EmploymentDuration, Sex, CheckingStatus feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 73
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "0",
                                "count": 7,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_distribution_constraint",
                                        "code": "AIQDD9004E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ],
                                        "message": "For the OwnsProperty feature the value of LoanAmount feature falls outside of the training data distribution."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 3,
                                        "norm_importance": 21.428571428571427,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 21.428571428571427,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 2,
                                        "norm_importance": 14.285714285714286,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 7.142857142857143,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "count": 1,
                                        "norm_importance": 7.142857142857143,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration, ExistingSavings, OwnsProperty, LoanAmount feature values are unexpected compared to the training data. The CreditHistory, EmploymentDuration, ExistingSavings, OwnsProperty, LoanAmount feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "OwnsProperty",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "OwnsProperty",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "OwnsProperty",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration, ExistingSavings, OwnsProperty, LoanAmount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "2",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "message": "The values of the Age and ExistingCreditsCount features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "The values of the InstallmentPercent and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "count": 3,
                                        "norm_importance": 30.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, ExistingCreditsCount, Telephone, InstallmentPercent feature values are unexpected compared to the training data. The Age feature(s) have some impact on drift. The ExistingCreditsCount, Telephone, InstallmentPercent feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "ExistingCreditsCount",
                                                    "Telephone",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingCreditsCount",
                                                    "Telephone",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "ExistingCreditsCount",
                                            "Telephone",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the Age, ExistingCreditsCount, Telephone, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data. The EmploymentDuration, OwnsProperty feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "columns": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "message": "The values of the OthersOnLoan and Telephone features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OthersOnLoan",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OthersOnLoan, Telephone feature values are unexpected compared to the training data. The OthersOnLoan, Telephone feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OthersOnLoan",
                                                    "Telephone"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OthersOnLoan",
                                                    "Telephone"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ]
                                    ],
                                    "message": "Review the OthersOnLoan, Telephone features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, CreditHistory, ExistingSavings, EmploymentDuration feature values are unexpected compared to the training data. The CurrentResidenceDuration feature(s) have some impact on drift. The CreditHistory, ExistingSavings, EmploymentDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "CreditHistory",
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, CreditHistory, ExistingSavings, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, InstallmentPercent feature values are unexpected compared to the training data. The EmploymentDuration, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the ExistingSavings and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, ExistingSavings, EmploymentDuration, Housing feature values are unexpected compared to the training data. The OwnsProperty feature(s) have some impact on drift. The ExistingSavings, EmploymentDuration, Housing feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, ExistingSavings, EmploymentDuration, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 20
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "2",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, InstallmentPercent, OwnsProperty, Housing feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, InstallmentPercent, OwnsProperty, Housing feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent",
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "InstallmentPercent",
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "InstallmentPercent",
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, InstallmentPercent, OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "0",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "Age"
                                        ],
                                        "message": "The values of the InstallmentPercent and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "ExistingCreditsCount"
                                        ],
                                        "message": "The values of the Age and ExistingCreditsCount features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingCreditsCount",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The Age, InstallmentPercent, ExistingCreditsCount feature values are unexpected compared to the training data and causing a drop in accuracy. The Age feature(s) have some impact on drift. The InstallmentPercent, ExistingCreditsCount feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "InstallmentPercent",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "ExistingCreditsCount"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "InstallmentPercent",
                                            "ExistingCreditsCount"
                                        ]
                                    ],
                                    "message": "Review the Age, InstallmentPercent, ExistingCreditsCount features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "1",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 16.666666666666668,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CurrentResidenceDuration, CreditHistory, ExistingSavings, EmploymentDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The CurrentResidenceDuration feature(s) have some impact on drift. The CreditHistory, ExistingSavings, EmploymentDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CurrentResidenceDuration",
                                            "CreditHistory",
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CurrentResidenceDuration, CreditHistory, ExistingSavings, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 4
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
],[
    {
        "monitor_definition_id": "drift",
        "timestamp": "<timestamp>",
        "binding_id": "<binding_id>",
        "asset_id": "<asset_id>",
        "subscription_id": "<subscription_id>",
        "deployment_id": "<deployment_id>",
        "process": "Drift run for subscription_<subscription_id>",
        "metrics": [
            {
                "drift_magnitude": 0.062000000000000055,
                "predicted_accuracy": 0.738,
                "data_drift_magnitude": 0.075
            }
        ],
        "sources": [
            {
                "id": "drift_explain_summary_1",
                "type": "drift_explain_summary",
                "data": {
                    "drifted_transactions": {
                        "clusters": [
                            {
                                "id": "2",
                                "count": 22,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.39360943777452423,
                                        "norm_importance": 25.20132358050206,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.36127887869346625,
                                        "norm_importance": 23.131320164051928,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.30895650680662406,
                                        "norm_importance": 19.781316587219454,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.26841403138027,
                                        "norm_importance": 17.185535226510854,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.22960132509795506,
                                        "norm_importance": 14.700504441715703,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, ExistingSavings, Sex, InstallmentPercent, LoanDuration feature values are causing a drop in accuracy. The LoanAmount, ExistingSavings, Sex, InstallmentPercent, LoanDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "ExistingSavings",
                                                    "Sex",
                                                    "InstallmentPercent",
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "ExistingSavings",
                                            "Sex",
                                            "InstallmentPercent",
                                            "LoanDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, ExistingSavings, Sex, InstallmentPercent, LoanDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "4",
                                "count": 18,
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.23128591865924866,
                                        "norm_importance": 21.53121356191544,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.21935891386274536,
                                        "norm_importance": 20.42088704953555,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.2151447481510122,
                                        "norm_importance": 20.028575652237265,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2071980659400335,
                                        "norm_importance": 19.28879126421605,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.20120131163661858,
                                        "norm_importance": 18.730532472095682,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, Sex, CheckingStatus, InstallmentPercent, LoanAmount feature values are causing a drop in accuracy. The EmploymentDuration, Sex, CheckingStatus, InstallmentPercent, LoanAmount feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "CheckingStatus",
                                                    "InstallmentPercent",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "Sex",
                                                    "CheckingStatus",
                                                    "InstallmentPercent",
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "Sex",
                                            "CheckingStatus",
                                            "InstallmentPercent",
                                            "LoanAmount"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, Sex, CheckingStatus, InstallmentPercent, LoanAmount feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "8",
                                "count": 12,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.40350036383799653,
                                        "norm_importance": 23.128571127786405,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.3673844977932377,
                                        "norm_importance": 21.058415927150246,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3426194980025999,
                                        "norm_importance": 19.63889041869903,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.33332812084404717,
                                        "norm_importance": 19.106310285579358,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2977645445983275,
                                        "norm_importance": 17.067812240784967,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, Sex, LoanAmount, CurrentResidenceDuration, EmploymentDuration feature values are causing a drop in accuracy. The LoanDuration, Sex, LoanAmount, CurrentResidenceDuration, EmploymentDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "Sex",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "Sex",
                                            "LoanAmount",
                                            "CurrentResidenceDuration",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, Sex, LoanAmount, CurrentResidenceDuration, EmploymentDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "0",
                                "count": 10,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.4553407521603675,
                                        "norm_importance": 24.201184331887728,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.44049127480219924,
                                        "norm_importance": 23.411940371025082,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.4107786245923055,
                                        "norm_importance": 21.83272453913028,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.30270252210031184,
                                        "norm_importance": 16.088521618853235,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "importance": 0.2721681039383503,
                                        "norm_importance": 14.465629139103667,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, EmploymentDuration, Age, Sex, CheckingStatus feature values are causing a drop in accuracy. The ExistingSavings, EmploymentDuration, Age, Sex, CheckingStatus feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "Sex",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "Sex",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "Age",
                                            "Sex",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, EmploymentDuration, Age, Sex, CheckingStatus feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "1",
                                "count": 9,
                                "top_features": [
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.49559135834513524,
                                        "norm_importance": 28.597611045301353,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.3845866371820935,
                                        "norm_importance": 22.19219297947208,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.3029225186135254,
                                        "norm_importance": 17.47984547813634,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.2807182158564696,
                                        "norm_importance": 16.198568064626276,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Sex",
                                        "importance": 0.2691629430525672,
                                        "norm_importance": 15.531782432463945,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The ExistingSavings, LoanAmount, Age, LoanDuration, Sex feature values are causing a drop in accuracy. The ExistingSavings, LoanAmount, Age, LoanDuration, Sex feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "LoanDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "LoanAmount",
                                                    "Age",
                                                    "LoanDuration",
                                                    "Sex"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "ExistingSavings",
                                            "LoanAmount",
                                            "Age",
                                            "LoanDuration",
                                            "Sex"
                                        ]
                                    ],
                                    "message": "Review the ExistingSavings, LoanAmount, Age, LoanDuration, Sex feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "6",
                                "count": 7,
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3535566182548512,
                                        "norm_importance": 23.148809418334015,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.349341352581838,
                                        "norm_importance": 22.87281859628726,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.3066084072555097,
                                        "norm_importance": 20.074916489049055,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.26780197674950623,
                                        "norm_importance": 17.534099495088086,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "importance": 0.2500126052368376,
                                        "norm_importance": 16.36935600124159,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, ExistingSavings, LoanDuration, LoanAmount, CurrentResidenceDuration feature values are causing a drop in accuracy. The EmploymentDuration, ExistingSavings, LoanDuration, LoanAmount, CurrentResidenceDuration feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "ExistingSavings",
                                                    "LoanDuration",
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "ExistingSavings",
                                            "LoanDuration",
                                            "LoanAmount",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, ExistingSavings, LoanDuration, LoanAmount, CurrentResidenceDuration feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "3",
                                "count": 6,
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "importance": 0.806137586573409,
                                        "norm_importance": 34.404792514804015,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.4819234149851122,
                                        "norm_importance": 20.567798074105454,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.35353459462446457,
                                        "norm_importance": 15.088347916590328,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.35285737791350674,
                                        "norm_importance": 15.059445281585926,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.3486438087907651,
                                        "norm_importance": 14.879616212914272,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, InstallmentPercent, EmploymentDuration, LoanDuration, ExistingSavings feature values are causing a drop in accuracy. The LoanAmount feature(s) have some impact on drift. The InstallmentPercent, EmploymentDuration, LoanDuration, ExistingSavings feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "EmploymentDuration",
                                                    "LoanDuration",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "InstallmentPercent",
                                            "EmploymentDuration",
                                            "LoanDuration",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, InstallmentPercent, EmploymentDuration, LoanDuration, ExistingSavings feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "5",
                                "count": 5,
                                "top_features": [
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.6991659208120569,
                                        "norm_importance": 39.4623740979919,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "importance": 0.31460457210504433,
                                        "norm_importance": 17.756934295264685,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.2756632547799788,
                                        "norm_importance": 15.559005611375879,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "importance": 0.2719809466309289,
                                        "norm_importance": 15.351168505194968,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.2103132789457404,
                                        "norm_importance": 11.870517490172569,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The LoanDuration, ExistingSavings, EmploymentDuration, Age, InstallmentPercent feature values are causing a drop in accuracy. The LoanDuration feature(s) have some impact on drift. The ExistingSavings, EmploymentDuration, Age, InstallmentPercent feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "LoanDuration",
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "ExistingSavings",
                                                    "EmploymentDuration",
                                                    "Age",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "LoanDuration",
                                            "ExistingSavings",
                                            "EmploymentDuration",
                                            "Age",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the LoanDuration, ExistingSavings, EmploymentDuration, Age, InstallmentPercent feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            },
                            {
                                "id": "7",
                                "count": 5,
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "importance": 0.6141711533108734,
                                        "norm_importance": 28.56141701983173,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "importance": 0.4075202450754876,
                                        "norm_importance": 18.951322609145027,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Job",
                                        "importance": 0.4063493049575692,
                                        "norm_importance": 18.896869206648294,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "importance": 0.3976671572167017,
                                        "norm_importance": 18.49311458398664,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "importance": 0.3246446688128974,
                                        "norm_importance": 15.097276580388305,
                                        "influence": "small"
                                    }
                                ],
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, LoanDuration, Job, EmploymentDuration, CreditHistory feature values are causing a drop in accuracy. The InstallmentPercent, LoanDuration, Job, EmploymentDuration, CreditHistory feature(s) have a small impact on drift. The feature values are similar to those in the training data, but the model is known to provide incorrect predictions for similar transactions in the training data.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9007E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "LoanDuration",
                                                    "Job",
                                                    "EmploymentDuration",
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "LoanDuration",
                                                    "Job",
                                                    "EmploymentDuration",
                                                    "CreditHistory"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9014E"
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9008E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "LoanDuration",
                                            "Job",
                                            "EmploymentDuration",
                                            "CreditHistory"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, LoanDuration, Job, EmploymentDuration, CreditHistory feature values to determine why the model may be providing incorrect predictions. Supplement the training data with similar records with corrected predictions and retrain the model."
                                }
                            }
                        ],
                        "count": 94
                    },
                    "data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "2",
                                "count": 10,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the ExistingSavings and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the EmploymentDuration and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "Age"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "Age"
                                        ],
                                        "message": "For the EmploymentDuration feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the LoanPurpose and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CreditHistory and InstallmentPercent features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the CreditHistory and CurrentResidenceDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 7,
                                        "norm_importance": 35.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 3,
                                        "norm_importance": 15.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 3,
                                        "norm_importance": 15.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 3,
                                        "norm_importance": 15.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 2,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, CreditHistory, ExistingSavings, InstallmentPercent, CurrentResidenceDuration feature values are unexpected compared to the training data. The EmploymentDuration feature(s) have some impact on drift. The CreditHistory, ExistingSavings, InstallmentPercent, CurrentResidenceDuration feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "ExistingSavings",
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "CreditHistory",
                                            "ExistingSavings",
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, CreditHistory, ExistingSavings, InstallmentPercent, CurrentResidenceDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "1",
                                "count": 4,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the CreditHistory and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 4,
                                        "norm_importance": 40.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data. The CreditHistory, EmploymentDuration feature(s) have some impact on drift. The OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "4",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "columns": [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration"
                                        ],
                                        "message": "The values of the InstallmentPercent and CurrentResidenceDuration features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "CheckingStatus",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the CheckingStatus and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 4,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 3,
                                        "norm_importance": 37.5,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CheckingStatus",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The InstallmentPercent, CurrentResidenceDuration, CheckingStatus feature values are unexpected compared to the training data. The InstallmentPercent, CurrentResidenceDuration feature(s) have some impact on drift. The CheckingStatus feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration",
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "InstallmentPercent",
                                                    "CurrentResidenceDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CheckingStatus"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "InstallmentPercent",
                                            "CurrentResidenceDuration",
                                            "CheckingStatus"
                                        ]
                                    ],
                                    "message": "Review the InstallmentPercent, CurrentResidenceDuration, CheckingStatus features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "5",
                                "count": 3,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 3,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data. The EmploymentDuration, OwnsProperty feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "0",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Telephone",
                                            "Age"
                                        ],
                                        "message": "The values of the Telephone and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "Age",
                                            "LoanDuration"
                                        ],
                                        "columns": [
                                            "Age",
                                            "LoanDuration"
                                        ],
                                        "message": "For the Age feature the value of the LoanDuration feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Age"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Age"
                                        ],
                                        "message": "The values of the CreditHistory and Age features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Age"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Age"
                                        ],
                                        "message": "The values of the OwnsProperty and Age features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 5,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 2,
                                        "norm_importance": 20.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "LoanDuration",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 10.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, Telephone, LoanDuration, CreditHistory, OwnsProperty feature values are unexpected compared to the training data. The Age feature(s) have some impact on drift. The Telephone, LoanDuration, CreditHistory, OwnsProperty feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "Telephone",
                                                    "LoanDuration",
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "Telephone",
                                                    "LoanDuration",
                                                    "CreditHistory",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "Telephone",
                                            "LoanDuration",
                                            "CreditHistory",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the Age, Telephone, LoanDuration, CreditHistory, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "7",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "OwnsProperty",
                                            "Housing"
                                        ],
                                        "message": "The values of the OwnsProperty and Housing features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OwnsProperty, Housing feature values are unexpected compared to the training data. The OwnsProperty, Housing feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "OwnsProperty",
                                                    "Housing"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OwnsProperty",
                                            "Housing"
                                        ]
                                    ],
                                    "message": "Review the OwnsProperty, Housing features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "3",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "OthersOnLoan"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "OthersOnLoan"
                                        ],
                                        "message": "The values of the ExistingSavings and OthersOnLoan features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "columns": [
                                            "OthersOnLoan",
                                            "Telephone"
                                        ],
                                        "message": "The values of the OthersOnLoan and Telephone features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "Housing"
                                        ],
                                        "message": "The values of the CreditHistory and Housing features rarely occur together."
                                    },
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Job"
                                        ],
                                        "message": "The values of the InstallmentPlans and Job features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "OthersOnLoan",
                                        "count": 2,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Housing",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Telephone",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The OthersOnLoan, CreditHistory, Housing, ExistingSavings, Telephone feature values are unexpected compared to the training data. The OthersOnLoan, CreditHistory, Housing, ExistingSavings, Telephone feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "OthersOnLoan",
                                                    "CreditHistory",
                                                    "Housing",
                                                    "ExistingSavings",
                                                    "Telephone"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "OthersOnLoan",
                                                    "CreditHistory",
                                                    "Housing",
                                                    "ExistingSavings",
                                                    "Telephone"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "OthersOnLoan",
                                            "CreditHistory",
                                            "Housing",
                                            "ExistingSavings",
                                            "Telephone"
                                        ]
                                    ],
                                    "message": "Review the OthersOnLoan, CreditHistory, Housing, ExistingSavings, Telephone features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "6",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "CurrentResidenceDuration",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "CurrentResidenceDuration",
                                            "LoanAmount"
                                        ],
                                        "message": "For the CurrentResidenceDuration feature the value of the LoanAmount feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "Age",
                                            "LoanAmount"
                                        ],
                                        "columns": [
                                            "Age",
                                            "LoanAmount"
                                        ],
                                        "message": "For the Age feature the value of the LoanAmount feature is outside of its typical value ranges."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "LoanAmount",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "CurrentResidenceDuration",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Age",
                                        "count": 1,
                                        "norm_importance": 25.0,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The LoanAmount, CurrentResidenceDuration, Age feature values are unexpected compared to the training data. The LoanAmount feature(s) have some impact on drift. The CurrentResidenceDuration, Age feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "LoanAmount",
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "LoanAmount"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "CurrentResidenceDuration",
                                                    "Age"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "LoanAmount",
                                            "CurrentResidenceDuration",
                                            "Age"
                                        ]
                                    ],
                                    "message": "Review the LoanAmount, CurrentResidenceDuration, Age features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            },
                            {
                                "id": "8",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "LoanPurpose",
                                            "Age"
                                        ],
                                        "columns": [
                                            "LoanPurpose",
                                            "Age"
                                        ],
                                        "message": "For the LoanPurpose feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "ExistingSavings",
                                            "Age"
                                        ],
                                        "columns": [
                                            "ExistingSavings",
                                            "Age"
                                        ],
                                        "message": "For the ExistingSavings feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "InstallmentPlans",
                                            "Age"
                                        ],
                                        "columns": [
                                            "InstallmentPlans",
                                            "Age"
                                        ],
                                        "message": "For the InstallmentPlans feature the value of the Age feature is outside of its typical value ranges."
                                    },
                                    {
                                        "name": "catnum_range_constraint",
                                        "code": "AIQDD9005E",
                                        "parameters": [
                                            "Job",
                                            "Age"
                                        ],
                                        "columns": [
                                            "Job",
                                            "Age"
                                        ],
                                        "message": "For the Job feature the value of the Age feature is outside of its typical value ranges."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "Age",
                                        "count": 4,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "LoanPurpose",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "InstallmentPlans",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    },
                                    {
                                        "feature": "Job",
                                        "count": 1,
                                        "norm_importance": 12.5,
                                        "influence": "small"
                                    }
                                ],
                                "is_intersection": false,
                                "drift_reason": {
                                    "summary_message": "The Age, LoanPurpose, ExistingSavings, InstallmentPlans, Job feature values are unexpected compared to the training data. The Age feature(s) have some impact on drift. The LoanPurpose, ExistingSavings, InstallmentPlans, Job feature(s) have a small impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9009E",
                                            "parameters": [
                                                [
                                                    "Age",
                                                    "LoanPurpose",
                                                    "ExistingSavings",
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "Age"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9013E",
                                            "parameters": [
                                                [
                                                    "LoanPurpose",
                                                    "ExistingSavings",
                                                    "InstallmentPlans",
                                                    "Job"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9010E",
                                    "parameters": [
                                        [
                                            "Age",
                                            "LoanPurpose",
                                            "ExistingSavings",
                                            "InstallmentPlans",
                                            "Job"
                                        ]
                                    ],
                                    "message": "Review the Age, LoanPurpose, ExistingSavings, InstallmentPlans, Job features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing."
                                }
                            }
                        ],
                        "count": 27
                    },
                    "model_data_drifted_transactions": {
                        "clusters": [
                            {
                                "id": "1",
                                "count": 2,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ],
                                        "message": "The values of the EmploymentDuration and InstallmentPercent features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "InstallmentPercent",
                                        "count": 2,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, InstallmentPercent feature values are unexpected compared to the training data and causing a drop in accuracy. The EmploymentDuration, InstallmentPercent feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "InstallmentPercent"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "InstallmentPercent"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, InstallmentPercent features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "0",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ],
                                        "message": "The values of the CreditHistory and EmploymentDuration features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, EmploymentDuration feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, EmploymentDuration feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "EmploymentDuration"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "EmploymentDuration"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, EmploymentDuration features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "2",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "columns": [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ],
                                        "message": "The values of the CreditHistory and ExistingSavings features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "CreditHistory",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "ExistingSavings",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The CreditHistory, ExistingSavings feature values are unexpected compared to the training data and causing a drop in accuracy. The CreditHistory, ExistingSavings feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "CreditHistory",
                                                    "ExistingSavings"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "CreditHistory",
                                            "ExistingSavings"
                                        ]
                                    ],
                                    "message": "Review the CreditHistory, ExistingSavings features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            },
                            {
                                "id": "3",
                                "count": 1,
                                "constraints_violated": [
                                    {
                                        "name": "catcat_distribution_constraint",
                                        "code": "AIQDD9001E",
                                        "parameters": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "columns": [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ],
                                        "message": "The values of the EmploymentDuration and OwnsProperty features rarely occur together."
                                    }
                                ],
                                "top_features": [
                                    {
                                        "feature": "EmploymentDuration",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    },
                                    {
                                        "feature": "OwnsProperty",
                                        "count": 1,
                                        "norm_importance": 50.0,
                                        "influence": "some"
                                    }
                                ],
                                "is_intersection": true,
                                "drift_reason": {
                                    "summary_message": "The EmploymentDuration, OwnsProperty feature values are unexpected compared to the training data and causing a drop in accuracy. The EmploymentDuration, OwnsProperty feature(s) have some impact on drift.",
                                    "messages": [
                                        {
                                            "code": "AIQDD9016E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        },
                                        {
                                            "code": "AIQDD9012E",
                                            "parameters": [
                                                [
                                                    "EmploymentDuration",
                                                    "OwnsProperty"
                                                ]
                                            ]
                                        }
                                    ]
                                },
                                "drift_recommendation": {
                                    "code": "AIQDD9017E",
                                    "parameters": [
                                        [
                                            "EmploymentDuration",
                                            "OwnsProperty"
                                        ]
                                    ],
                                    "message": "Review the EmploymentDuration, OwnsProperty features to determine why their values are not consistent with the training data. If a value is unexpected, a data entry or data processing problem may exist or the type of data the model is processing may be slowly changing and the model will need to be retrained."
                                }
                            }
                        ],
                        "count": 5
                    },
                    "start": "<first_payload_record_timestamp_in_window>",
                    "end": "<last_payload_record_timestamp_in_window>",
                    "transactions_count": 360,
                    "transactions_current_window_count": 360
                }
            }
        ]
    }
]]