Model Validation Report
Performance Analysis Report
Robustness Score
100.0%
Base Score
0.2%
Impact
Excellent resistance to perturbations
Model Information
| Type: | LogisticRegression |
| Features: | 0 |
| Primary Metric: | AUC |
| Critical Features: | 0 |
| Alternative Models: | 2 |
Test Summary
| Perturbation Levels: | 6 |
| Iterations Per Level: | 10 |
| Max Impact Level: | 1.07% at 1.0 |
Performance Overview
This section shows how the model's performance changes under different perturbation levels.
Model Comparison
Comparison of robustness between different models.
Detailed Results
| Model | Base Score | Robustness Score | Raw Impact |
|---|
| Perturbation Level | Base Score | Perturbed Score | Impact | Subset Score |
|---|
Detailed Performance Analysis
Detailed analysis of the model's performance under different perturbation types and levels.
Model Metrics Overview
Comparative view of model metrics
Dataset Info
- Samples: -
- Features: -
- Test Size: -
Test Configuration
- Tests: -
Models Comparison
Performance metrics for all models
| Model Name | Type | Accuracy | ROC AUC | F1 Score | Precision | Recall |
|---|---|---|---|---|---|---|
Perturbation Analysis
Detailed analysis of the model's performance under different perturbation types and levels
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Performance Distribution
Distribution of model performance under different perturbation levels.
Model Distribution Statistics
| Model | Base Score | Median | Mean | IQR | Min | Max | Std Dev | Score Drop |
|---|---|---|---|---|---|---|---|---|
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Feature Importance Analysis
Analysis of how each feature contributes to model robustness.
Feature Importance Table
| Feature ▼ | Robustness Impact | Model Importance | Feature Subset |
|---|---|---|---|
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Model vs Robustness Importance Comparison
Comparison between model feature importance and robustness impact.