2025-11-07 10:37:22.994201: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:37:23.008282: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508243.023030 2395466 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508243.027526 2395466 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508243.038306 2395466 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508243.038328 2395466 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508243.038330 2395466 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508243.038332 2395466 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:37:23.041597: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/tune/impl/tuner_internal.py:144: RayDeprecationWarning: The `RunConfig` class should be imported from `ray.tune` when passing it to the Tuner. Please update your imports. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0
  _log_deprecation_warning(
2025-11-07 10:37:27,289	INFO worker.py:1927 -- Started a local Ray instance.
2025-11-07 10:37:27,972	INFO tune.py:253 -- Initializing Ray automatically. For cluster usage or custom Ray initialization, call `ray.init(...)` before `Tuner(...)`.
2025-11-07 10:37:28,039	INFO trial.py:182 -- Creating a new dirname dir_5fd95_4df4 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,042	INFO trial.py:182 -- Creating a new dirname dir_5fd95_a63e because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,044	INFO trial.py:182 -- Creating a new dirname dir_5fd95_e2ff because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,046	INFO trial.py:182 -- Creating a new dirname dir_5fd95_ea3c because trial dirname 'dir_5fd95' already exists.
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2025-11-07 10:37:28,055	INFO trial.py:182 -- Creating a new dirname dir_5fd95_fdad because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,058	INFO trial.py:182 -- Creating a new dirname dir_5fd95_186a because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,061	INFO trial.py:182 -- Creating a new dirname dir_5fd95_99cc because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,063	INFO trial.py:182 -- Creating a new dirname dir_5fd95_ee1d because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,066	INFO trial.py:182 -- Creating a new dirname dir_5fd95_9707 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,069	INFO trial.py:182 -- Creating a new dirname dir_5fd95_f683 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,073	INFO trial.py:182 -- Creating a new dirname dir_5fd95_7701 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,076	INFO trial.py:182 -- Creating a new dirname dir_5fd95_39d8 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,079	INFO trial.py:182 -- Creating a new dirname dir_5fd95_fc2b because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,083	INFO trial.py:182 -- Creating a new dirname dir_5fd95_f163 because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,087	INFO trial.py:182 -- Creating a new dirname dir_5fd95_b2af because trial dirname 'dir_5fd95' already exists.
2025-11-07 10:37:28,092	INFO trial.py:182 -- Creating a new dirname dir_5fd95_3c0f because trial dirname 'dir_5fd95' already exists.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
Se lanza la búsqueda de hiperparámetros óptimos del modelo.
╭───────────────────────────────────────────────────────────────────╮
│ Configuration for experiment     XGBoost_hyperparameters_tuning   │
├───────────────────────────────────────────────────────────────────┤
│ Search algorithm                 BasicVariantGenerator            │
│ Scheduler                        AsyncHyperBandScheduler          │
│ Number of trials                 20                               │
╰───────────────────────────────────────────────────────────────────╯

View detailed results here: /mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_C/case_C_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning
To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-11-07_10-37-26_570641_2395466/artifacts/2025-11-07_10-37-27/XGBoost_hyperparameters_tuning/driver_artifacts`

Trial status: 20 PENDING
Current time: 2025-11-07 10:37:28. Total running time: 0s
Logical resource usage: 0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       num_boost_round     max_depth     learning_rate     subsample     colsample_bytree      gamma     min_child_weight     reg_alpha     reg_lambda     random_state │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_5fd95    PENDING                  281             3        0.011498        0.680629             0.747094   22.9662                    58       9.0561        42.6187              9361 │
│ trial_5fd95    PENDING                  377             3        0.0163183       0.718144             0.792861    6.81871                  147     234.491         84.559               5431 │
│ trial_5fd95    PENDING                  503             3        0.00786478      0.770042             0.619079   17.8275                    71       1.83174      241.25                7971 │
│ trial_5fd95    PENDING                  515             2        0.010348        0.617843             0.629482   26.0083                   183      46.7915       186.36                4150 │
│ trial_5fd95    PENDING                  321             3        0.00846564      0.781588             0.673947   14.2977                   135       6.1327       148.036                323 │
│ trial_5fd95    PENDING                  644             3        0.0084981       0.659095             0.78928    20.5637                    57     493.573         30.4026              8519 │
│ trial_5fd95    PENDING                  425             3        0.0123061       0.747366             0.60546    19.5826                    68      56.3759       286.224               4987 │
│ trial_5fd95    PENDING                  686             2        0.00518609      0.775168             0.560468   29.1092                   131     448.896          7.04957             2019 │
│ trial_5fd95    PENDING                  218             2        0.010918        0.646512             0.647904   11.3263                    91     126.328        665.495               3368 │
│ trial_5fd95    PENDING                  492             3        0.00822957      0.521535             0.769159   13.1611                   149      30.5152       149.054               2059 │
│ trial_5fd95    PENDING                  759             3        0.00580413      0.580151             0.771038   21.126                    144     114.103        127.9                 6401 │
│ trial_5fd95    PENDING                  420             3        0.00763529      0.824739             0.5674      9.71208                  171       6.77669       41.0037               780 │
│ trial_5fd95    PENDING                  331             2        0.0192744       0.622759             0.692704   26.5716                    64       7.64788      600.815               8297 │
│ trial_5fd95    PENDING                  402             3        0.0134491       0.581908             0.643076    7.90818                  145       4.30569      990.61                1135 │
│ trial_5fd95    PENDING                  351             3        0.00564377      0.697152             0.604937   15.7713                   196     661.287          6.24177              677 │
│ trial_5fd95    PENDING                  224             3        0.0166761       0.765505             0.816218   19.8747                   147       9.59551       42.8706              2096 │
│ trial_5fd95    PENDING                  483             3        0.0108328       0.82069              0.627123   16.0053                    70     464.251        599.629               7772 │
│ trial_5fd95    PENDING                  673             2        0.0187443       0.542524             0.749029   17.1649                    96       2.8971       477.371               9306 │
│ trial_5fd95    PENDING                  581             2        0.0186869       0.660209             0.755025   17.7383                   130       5.13309        6.17487             1801 │
│ trial_5fd95    PENDING                  778             3        0.00964987      0.60782              0.617102   14.084                    138      21.5309       199.407               7100 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.60546 │
│ gamma                        19.5826 │
│ learning_rate                0.01231 │
│ max_depth                          3 │
│ min_child_weight                  68 │
│ num_boost_round                  425 │
│ random_state                    4987 │
│ reg_alpha                    56.3759 │
│ reg_lambda                   286.224 │
│ subsample                    0.74737 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.74709 │
│ gamma                        22.9662 │
│ learning_rate                 0.0115 │
│ max_depth                          3 │
│ min_child_weight                  58 │
│ num_boost_round                  281 │
│ random_state                    9361 │
│ reg_alpha                     9.0561 │
│ reg_lambda                   42.6187 │
│ subsample                    0.68063 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.62948 │
│ gamma                        26.0084 │
│ learning_rate                0.01035 │
│ max_depth                          2 │
│ min_child_weight                 183 │
│ num_boost_round                  515 │
│ random_state                    4150 │
│ reg_alpha                    46.7915 │
│ reg_lambda                    186.36 │
│ subsample                    0.61784 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.76916 │
│ gamma                        13.1611 │
│ learning_rate                0.00823 │
│ max_depth                          3 │
│ min_child_weight                 149 │
│ num_boost_round                  492 │
│ random_state                    2059 │
│ reg_alpha                    30.5151 │
│ reg_lambda                   149.054 │
│ subsample                    0.52153 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.64308 │
│ gamma                        7.90818 │
│ learning_rate                0.01345 │
│ max_depth                          3 │
│ min_child_weight                 145 │
│ num_boost_round                  402 │
│ random_state                    1135 │
│ reg_alpha                    4.30569 │
│ reg_lambda                    990.61 │
│ subsample                    0.58191 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.67395 │
│ gamma                        14.2977 │
│ learning_rate                0.00847 │
│ max_depth                          3 │
│ min_child_weight                 135 │
│ num_boost_round                  321 │
│ random_state                     323 │
│ reg_alpha                     6.1327 │
│ reg_lambda                   148.036 │
│ subsample                    0.78159 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.79286 │
│ gamma                        6.81871 │
│ learning_rate                0.01632 │
│ max_depth                          3 │
│ min_child_weight                 147 │
│ num_boost_round                  377 │
│ random_state                    5431 │
│ reg_alpha                    234.491 │
│ reg_lambda                    84.559 │
│ subsample                    0.71814 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.75503 │
│ gamma                        17.7383 │
│ learning_rate                0.01869 │
│ max_depth                          2 │
│ min_child_weight                 130 │
│ num_boost_round                  581 │
│ random_state                    1801 │
│ reg_alpha                    5.13309 │
│ reg_lambda                   6.17487 │
│ subsample                    0.66021 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.81622 │
│ gamma                        19.8747 │
│ learning_rate                0.01668 │
│ max_depth                          3 │
│ min_child_weight                 147 │
│ num_boost_round                  224 │
│ random_state                    2096 │
│ reg_alpha                    9.59551 │
│ reg_lambda                   42.8706 │
│ subsample                    0.76551 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.56047 │
│ gamma                        29.1092 │
│ learning_rate                0.00519 │
│ max_depth                          2 │
│ min_child_weight                 131 │
│ num_boost_round                  686 │
│ random_state                    2019 │
│ reg_alpha                    448.896 │
│ reg_lambda                   7.04957 │
│ subsample                    0.77517 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.5674 │
│ gamma                        9.71208 │
│ learning_rate                0.00764 │
│ max_depth                          3 │
│ min_child_weight                 171 │
│ num_boost_round                  420 │
│ random_state                     780 │
│ reg_alpha                    6.77669 │
│ reg_lambda                   41.0037 │
│ subsample                    0.82474 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
[36m(train_xgb_ray_tune pid=2397085)[0m 2025-11-07 10:37:31.222295: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
[36m(train_xgb_ray_tune pid=2397085)[0m 2025-11-07 10:37:31.244358: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
[36m(train_xgb_ray_tune pid=2397106)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
[36m(train_xgb_ray_tune pid=2397106)[0m E0000 00:00:1762508251.203192 2398232 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
[36m(train_xgb_ray_tune pid=2397106)[0m E0000 00:00:1762508251.211974 2398232 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
[36m(train_xgb_ray_tune pid=2397106)[0m W0000 00:00:1762508251.234163 2398232 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_xgb_ray_tune pid=2397106)[0m W0000 00:00:1762508251.234203 2398232 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_xgb_ray_tune pid=2397106)[0m W0000 00:00:1762508251.234205 2398232 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_xgb_ray_tune pid=2397106)[0m W0000 00:00:1762508251.234208 2398232 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_xgb_ray_tune pid=2397106)[0m 2025-11-07 10:37:31.240674: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
[36m(train_xgb_ray_tune pid=2397106)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.61908 │
│ gamma                        17.8275 │
│ learning_rate                0.00786 │
│ max_depth                          3 │
│ min_child_weight                  71 │
│ num_boost_round                  503 │
│ random_state                    7971 │
│ reg_alpha                    1.83174 │
│ reg_lambda                    241.25 │
│ subsample                    0.77004 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.6171 │
│ gamma                         14.084 │
│ learning_rate                0.00965 │
│ max_depth                          3 │
│ min_child_weight                 138 │
│ num_boost_round                  778 │
│ random_state                    7100 │
│ reg_alpha                    21.5309 │
│ reg_lambda                   199.407 │
│ subsample                    0.60782 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.6479 │
│ gamma                        11.3263 │
│ learning_rate                0.01092 │
│ max_depth                          2 │
│ min_child_weight                  91 │
│ num_boost_round                  218 │
│ random_state                    3368 │
│ reg_alpha                    126.328 │
│ reg_lambda                   665.495 │
│ subsample                    0.64651 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.77104 │
│ gamma                         21.126 │
│ learning_rate                 0.0058 │
│ max_depth                          3 │
│ min_child_weight                 144 │
│ num_boost_round                  759 │
│ random_state                    6401 │
│ reg_alpha                    114.103 │
│ reg_lambda                     127.9 │
│ subsample                    0.58015 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.62712 │
│ gamma                        16.0053 │
│ learning_rate                0.01083 │
│ max_depth                          3 │
│ min_child_weight                  70 │
│ num_boost_round                  483 │
│ random_state                    7772 │
│ reg_alpha                    464.251 │
│ reg_lambda                   599.629 │
│ subsample                    0.82069 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.60494 │
│ gamma                        15.7713 │
│ learning_rate                0.00564 │
│ max_depth                          3 │
│ min_child_weight                 196 │
│ num_boost_round                  351 │
│ random_state                     677 │
│ reg_alpha                    661.287 │
│ reg_lambda                   6.24177 │
│ subsample                    0.69715 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.78928 │
│ gamma                        20.5637 │
│ learning_rate                 0.0085 │
│ max_depth                          3 │
│ min_child_weight                  57 │
│ num_boost_round                  644 │
│ random_state                    8519 │
│ reg_alpha                    493.573 │
│ reg_lambda                   30.4026 │
│ subsample                     0.6591 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.6927 │
│ gamma                        26.5716 │
│ learning_rate                0.01927 │
│ max_depth                          2 │
│ min_child_weight                  64 │
│ num_boost_round                  331 │
│ random_state                    8297 │
│ reg_alpha                    7.64788 │
│ reg_lambda                   600.815 │
│ subsample                    0.62276 │
╰──────────────────────────────────────╯
Trial trial_5fd95 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_5fd95 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.74903 │
│ gamma                        17.1649 │
│ learning_rate                0.01874 │
│ max_depth                          2 │
│ min_child_weight                  96 │
│ num_boost_round                  673 │
│ random_state                    9306 │
│ reg_alpha                     2.8971 │
│ reg_lambda                   477.371 │
│ subsample                    0.54252 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397106)[0m [0]	train-mlogloss:1.38136	validation-mlogloss:1.38148
[36m(train_xgb_ray_tune pid=2397106)[0m [1]	train-mlogloss:1.37642	validation-mlogloss:1.37680
[36m(train_xgb_ray_tune pid=2397106)[0m [2]	train-mlogloss:1.37111	validation-mlogloss:1.37197
[36m(train_xgb_ray_tune pid=2397106)[0m [3]	train-mlogloss:1.36630	validation-mlogloss:1.36699
[36m(train_xgb_ray_tune pid=2397106)[0m [4]	train-mlogloss:1.36114	validation-mlogloss:1.36214
[36m(train_xgb_ray_tune pid=2397106)[0m [5]	train-mlogloss:1.35639	validation-mlogloss:1.35734
[36m(train_xgb_ray_tune pid=2397106)[0m [6]	train-mlogloss:1.35171	validation-mlogloss:1.35291
[36m(train_xgb_ray_tune pid=2397106)[0m [7]	train-mlogloss:1.34717	validation-mlogloss:1.34836
[36m(train_xgb_ray_tune pid=2397106)[0m [8]	train-mlogloss:1.34222	validation-mlogloss:1.34365
[36m(train_xgb_ray_tune pid=2397106)[0m [9]	train-mlogloss:1.33793	validation-mlogloss:1.33915
[36m(train_xgb_ray_tune pid=2397105)[0m [0]	train-mlogloss:1.38228	validation-mlogloss:1.38225
[36m(train_xgb_ray_tune pid=2397105)[0m [1]	train-mlogloss:1.37831	validation-mlogloss:1.37827
[36m(train_xgb_ray_tune pid=2397085)[0m [0]	train-mlogloss:1.37973	validation-mlogloss:1.37970
[36m(train_xgb_ray_tune pid=2397085)[0m [1]	train-mlogloss:1.37303	validation-mlogloss:1.37292
[36m(train_xgb_ray_tune pid=2397085)[0m [2]	train-mlogloss:1.36648	validation-mlogloss:1.36654
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[36m(train_xgb_ray_tune pid=2397085)[0m [5]	train-mlogloss:1.34746	validation-mlogloss:1.34810
[36m(train_xgb_ray_tune pid=2397085)[0m [6]	train-mlogloss:1.34127	validation-mlogloss:1.34220
[36m(train_xgb_ray_tune pid=2397106)[0m [10]	train-mlogloss:1.33318	validation-mlogloss:1.33445
[36m(train_xgb_ray_tune pid=2397106)[0m [11]	train-mlogloss:1.32833	validation-mlogloss:1.32990
[36m(train_xgb_ray_tune pid=2397106)[0m [12]	train-mlogloss:1.32399	validation-mlogloss:1.32561
[36m(train_xgb_ray_tune pid=2397106)[0m [13]	train-mlogloss:1.31980	validation-mlogloss:1.32135
[36m(train_xgb_ray_tune pid=2397106)[0m [14]	train-mlogloss:1.31528	validation-mlogloss:1.31692
[36m(train_xgb_ray_tune pid=2397106)[0m [15]	train-mlogloss:1.31070	validation-mlogloss:1.31246
[36m(train_xgb_ray_tune pid=2397106)[0m [16]	train-mlogloss:1.30614	validation-mlogloss:1.30821
[36m(train_xgb_ray_tune pid=2397106)[0m [17]	train-mlogloss:1.30207	validation-mlogloss:1.30412
[36m(train_xgb_ray_tune pid=2397106)[0m [18]	train-mlogloss:1.29775	validation-mlogloss:1.30002
[36m(train_xgb_ray_tune pid=2397106)[0m [19]	train-mlogloss:1.29344	validation-mlogloss:1.29584
[36m(train_xgb_ray_tune pid=2397111)[0m [0]	train-mlogloss:1.38270	validation-mlogloss:1.38262
[36m(train_xgb_ray_tune pid=2397111)[0m [1]	train-mlogloss:1.37912	validation-mlogloss:1.37898
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[36m(train_xgb_ray_tune pid=2397111)[0m [5]	train-mlogloss:1.36542	validation-mlogloss:1.36524
[36m(train_xgb_ray_tune pid=2397111)[0m [6]	train-mlogloss:1.36203	validation-mlogloss:1.36183
[36m(train_xgb_ray_tune pid=2397112)[0m [0]	train-mlogloss:1.38204	validation-mlogloss:1.38186
[36m(train_xgb_ray_tune pid=2397112)[0m [1]	train-mlogloss:1.37740	validation-mlogloss:1.37734
[36m(train_xgb_ray_tune pid=2397112)[0m [2]	train-mlogloss:1.37313	validation-mlogloss:1.37315
[36m(train_xgb_ray_tune pid=2397112)[0m [3]	train-mlogloss:1.36888	validation-mlogloss:1.36876
[36m(train_xgb_ray_tune pid=2397112)[0m [4]	train-mlogloss:1.36464	validation-mlogloss:1.36451
[36m(train_xgb_ray_tune pid=2397112)[0m [5]	train-mlogloss:1.36017	validation-mlogloss:1.36022
[36m(train_xgb_ray_tune pid=2397105)[0m [2]	train-mlogloss:1.37438	validation-mlogloss:1.37426
[36m(train_xgb_ray_tune pid=2397105)[0m [3]	train-mlogloss:1.37069	validation-mlogloss:1.37032
[36m(train_xgb_ray_tune pid=2397105)[0m [4]	train-mlogloss:1.36691	validation-mlogloss:1.36650
[36m(train_xgb_ray_tune pid=2397105)[0m [5]	train-mlogloss:1.36317	validation-mlogloss:1.36262
[36m(train_xgb_ray_tune pid=2397105)[0m [6]	train-mlogloss:1.35941	validation-mlogloss:1.35858
[36m(train_xgb_ray_tune pid=2397105)[0m [7]	train-mlogloss:1.35555	validation-mlogloss:1.35473
[36m(train_xgb_ray_tune pid=2397105)[0m [8]	train-mlogloss:1.35185	validation-mlogloss:1.35093
[36m(train_xgb_ray_tune pid=2397105)[0m [9]	train-mlogloss:1.34825	validation-mlogloss:1.34727
[36m(train_xgb_ray_tune pid=2397105)[0m [10]	train-mlogloss:1.34461	validation-mlogloss:1.34339
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[36m(train_xgb_ray_tune pid=2397105)[0m [13]	train-mlogloss:1.33411	validation-mlogloss:1.33248
[36m(train_xgb_ray_tune pid=2397106)[0m [20]	train-mlogloss:1.28951	validation-mlogloss:1.29193
[36m(train_xgb_ray_tune pid=2397111)[0m [7]	train-mlogloss:1.35856	validation-mlogloss:1.35822
[36m(train_xgb_ray_tune pid=2397112)[0m [6]	train-mlogloss:1.35601	validation-mlogloss:1.35604
[36m(train_xgb_ray_tune pid=2397105)[0m [14]	train-mlogloss:1.33072	validation-mlogloss:1.32892
[36m(train_xgb_ray_tune pid=2397085)[0m [7]	train-mlogloss:1.33536	validation-mlogloss:1.33650
[36m(train_xgb_ray_tune pid=2397106)[0m [21]	train-mlogloss:1.28566	validation-mlogloss:1.28801
[36m(train_xgb_ray_tune pid=2397111)[0m [8]	train-mlogloss:1.35528	validation-mlogloss:1.35483
[36m(train_xgb_ray_tune pid=2397112)[0m [7]	train-mlogloss:1.35205	validation-mlogloss:1.35205
[36m(train_xgb_ray_tune pid=2397105)[0m [15]	train-mlogloss:1.32732	validation-mlogloss:1.32544
[36m(train_xgb_ray_tune pid=2397085)[0m [8]	train-mlogloss:1.32929	validation-mlogloss:1.33053
[36m(train_xgb_ray_tune pid=2397106)[0m [22]	train-mlogloss:1.28188	validation-mlogloss:1.28408
[36m(train_xgb_ray_tune pid=2397114)[0m [0]	train-mlogloss:1.38313	validation-mlogloss:1.38312
[36m(train_xgb_ray_tune pid=2397112)[0m [8]	train-mlogloss:1.34815	validation-mlogloss:1.34813
[36m(train_xgb_ray_tune pid=2397111)[0m [9]	train-mlogloss:1.35194	validation-mlogloss:1.35151
[36m(train_xgb_ray_tune pid=2397105)[0m [16]	train-mlogloss:1.32382	validation-mlogloss:1.32183
[36m(train_xgb_ray_tune pid=2397085)[0m [9]	train-mlogloss:1.32361	validation-mlogloss:1.32534
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[36m(train_xgb_ray_tune pid=2397085)[0m [11]	train-mlogloss:1.31203	validation-mlogloss:1.31419
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[36m(train_xgb_ray_tune pid=2397085)[0m [13]	train-mlogloss:1.30084	validation-mlogloss:1.30318
[36m(train_xgb_ray_tune pid=2397085)[0m [14]	train-mlogloss:1.29546	validation-mlogloss:1.29797
[36m(train_xgb_ray_tune pid=2397085)[0m [15]	train-mlogloss:1.29001	validation-mlogloss:1.29262
[36m(train_xgb_ray_tune pid=2397085)[0m [16]	train-mlogloss:1.28481	validation-mlogloss:1.28774
[36m(train_xgb_ray_tune pid=2397106)[0m [23]	train-mlogloss:1.27782	validation-mlogloss:1.28038
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[36m(train_xgb_ray_tune pid=2397106)[0m [32]	train-mlogloss:1.24499	validation-mlogloss:1.24737
[36m(train_xgb_ray_tune pid=2397114)[0m [1]	train-mlogloss:1.37981	validation-mlogloss:1.37989
[36m(train_xgb_ray_tune pid=2397114)[0m [2]	train-mlogloss:1.37651	validation-mlogloss:1.37658
[36m(train_xgb_ray_tune pid=2397114)[0m [3]	train-mlogloss:1.37320	validation-mlogloss:1.37328
[36m(train_xgb_ray_tune pid=2397114)[0m [4]	train-mlogloss:1.36994	validation-mlogloss:1.36996
[36m(train_xgb_ray_tune pid=2397114)[0m [5]	train-mlogloss:1.36665	validation-mlogloss:1.36663
[36m(train_xgb_ray_tune pid=2397114)[0m [6]	train-mlogloss:1.36337	validation-mlogloss:1.36341
[36m(train_xgb_ray_tune pid=2397114)[0m [7]	train-mlogloss:1.36021	validation-mlogloss:1.36027
[36m(train_xgb_ray_tune pid=2397114)[0m [8]	train-mlogloss:1.35700	validation-mlogloss:1.35712
[36m(train_xgb_ray_tune pid=2397114)[0m [9]	train-mlogloss:1.35386	validation-mlogloss:1.35393
[36m(train_xgb_ray_tune pid=2397114)[0m [10]	train-mlogloss:1.35071	validation-mlogloss:1.35085
[36m(train_xgb_ray_tune pid=2397111)[0m [10]	train-mlogloss:1.34866	validation-mlogloss:1.34813
[36m(train_xgb_ray_tune pid=2397111)[0m [11]	train-mlogloss:1.34539	validation-mlogloss:1.34470
[36m(train_xgb_ray_tune pid=2397111)[0m [12]	train-mlogloss:1.34218	validation-mlogloss:1.34148
[36m(train_xgb_ray_tune pid=2397111)[0m [13]	train-mlogloss:1.33903	validation-mlogloss:1.33820
[36m(train_xgb_ray_tune pid=2397111)[0m [14]	train-mlogloss:1.33594	validation-mlogloss:1.33505
[36m(train_xgb_ray_tune pid=2397111)[0m [15]	train-mlogloss:1.33277	validation-mlogloss:1.33182
[36m(train_xgb_ray_tune pid=2397111)[0m [16]	train-mlogloss:1.32962	validation-mlogloss:1.32857
[36m(train_xgb_ray_tune pid=2397111)[0m [17]	train-mlogloss:1.32653	validation-mlogloss:1.32541
[36m(train_xgb_ray_tune pid=2397111)[0m [18]	train-mlogloss:1.32347	validation-mlogloss:1.32227
[36m(train_xgb_ray_tune pid=2397111)[0m [19]	train-mlogloss:1.32042	validation-mlogloss:1.31920
[36m(train_xgb_ray_tune pid=2397112)[0m [9]	train-mlogloss:1.34419	validation-mlogloss:1.34407
[36m(train_xgb_ray_tune pid=2397112)[0m [10]	train-mlogloss:1.33990	validation-mlogloss:1.33977
[36m(train_xgb_ray_tune pid=2397112)[0m [11]	train-mlogloss:1.33607	validation-mlogloss:1.33589
[36m(train_xgb_ray_tune pid=2397112)[0m [12]	train-mlogloss:1.33221	validation-mlogloss:1.33207
[36m(train_xgb_ray_tune pid=2397112)[0m [13]	train-mlogloss:1.32847	validation-mlogloss:1.32828
[36m(train_xgb_ray_tune pid=2397112)[0m [14]	train-mlogloss:1.32475	validation-mlogloss:1.32456
[36m(train_xgb_ray_tune pid=2397112)[0m [15]	train-mlogloss:1.32104	validation-mlogloss:1.32085
[36m(train_xgb_ray_tune pid=2397112)[0m [16]	train-mlogloss:1.31739	validation-mlogloss:1.31718
[36m(train_xgb_ray_tune pid=2397112)[0m [17]	train-mlogloss:1.31368	validation-mlogloss:1.31346
[36m(train_xgb_ray_tune pid=2397112)[0m [18]	train-mlogloss:1.30997	validation-mlogloss:1.30969
[36m(train_xgb_ray_tune pid=2397105)[0m [17]	train-mlogloss:1.32049	validation-mlogloss:1.31831
[36m(train_xgb_ray_tune pid=2397105)[0m [18]	train-mlogloss:1.31716	validation-mlogloss:1.31479
[36m(train_xgb_ray_tune pid=2397105)[0m [19]	train-mlogloss:1.31370	validation-mlogloss:1.31144
[36m(train_xgb_ray_tune pid=2397105)[0m [20]	train-mlogloss:1.31047	validation-mlogloss:1.30805
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[36m(train_xgb_ray_tune pid=2397105)[0m [22]	train-mlogloss:1.30422	validation-mlogloss:1.30152
[36m(train_xgb_ray_tune pid=2397105)[0m [23]	train-mlogloss:1.30104	validation-mlogloss:1.29831
[36m(train_xgb_ray_tune pid=2397105)[0m [24]	train-mlogloss:1.29796	validation-mlogloss:1.29515
[36m(train_xgb_ray_tune pid=2397105)[0m [25]	train-mlogloss:1.29466	validation-mlogloss:1.29183
[36m(train_xgb_ray_tune pid=2397105)[0m [26]	train-mlogloss:1.29158	validation-mlogloss:1.28866
[36m(train_xgb_ray_tune pid=2397105)[0m [27]	train-mlogloss:1.28859	validation-mlogloss:1.28553
[36m(train_xgb_ray_tune pid=2397085)[0m [17]	train-mlogloss:1.27955	validation-mlogloss:1.28258
[36m(train_xgb_ray_tune pid=2397112)[0m [19]	train-mlogloss:1.30632	validation-mlogloss:1.30606
[36m(train_xgb_ray_tune pid=2397106)[0m [33]	train-mlogloss:1.24153	validation-mlogloss:1.24403
[36m(train_xgb_ray_tune pid=2397114)[0m [11]	train-mlogloss:1.34765	validation-mlogloss:1.34789
[36m(train_xgb_ray_tune pid=2397111)[0m [20]	train-mlogloss:1.31742	validation-mlogloss:1.31611
[36m(train_xgb_ray_tune pid=2397105)[0m [28]	train-mlogloss:1.28558	validation-mlogloss:1.28232
[36m(train_xgb_ray_tune pid=2397085)[0m [18]	train-mlogloss:1.27445	validation-mlogloss:1.27739
[36m(train_xgb_ray_tune pid=2397106)[0m [34]	train-mlogloss:1.23816	validation-mlogloss:1.24080
[36m(train_xgb_ray_tune pid=2397114)[0m [12]	train-mlogloss:1.34462	validation-mlogloss:1.34484
[36m(train_xgb_ray_tune pid=2397111)[0m [21]	train-mlogloss:1.31445	validation-mlogloss:1.31305
[36m(train_xgb_ray_tune pid=2397112)[0m [20]	train-mlogloss:1.30242	validation-mlogloss:1.30225
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[36m(train_xgb_ray_tune pid=2397097)[0m [0]	train-mlogloss:1.38081	validation-mlogloss:1.38069
[36m(train_xgb_ray_tune pid=2397085)[0m [19]	train-mlogloss:1.26942	validation-mlogloss:1.27247
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[36m(train_xgb_ray_tune pid=2397085)[0m [22]	train-mlogloss:1.25454	validation-mlogloss:1.25823
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[36m(train_xgb_ray_tune pid=2397085)[0m [24]	train-mlogloss:1.24507	validation-mlogloss:1.24882
[36m(train_xgb_ray_tune pid=2397085)[0m [25]	train-mlogloss:1.24019	validation-mlogloss:1.24410
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[36m(train_xgb_ray_tune pid=2397108)[0m [273]	train-mlogloss:1.24137	validation-mlogloss:1.23579
[36m(train_xgb_ray_tune pid=2397108)[0m [274]	train-mlogloss:1.24115	validation-mlogloss:1.23556
[36m(train_xgb_ray_tune pid=2397091)[0m [247]	train-mlogloss:0.93504	validation-mlogloss:0.92782
[36m(train_xgb_ray_tune pid=2397091)[0m [248]	train-mlogloss:0.93475	validation-mlogloss:0.92753
[36m(train_xgb_ray_tune pid=2397085)[0m [244]	train-mlogloss:0.83837	validation-mlogloss:0.85073
[36m(train_xgb_ray_tune pid=2397104)[0m [193]	train-mlogloss:0.99190	validation-mlogloss:0.99888
[36m(train_xgb_ray_tune pid=2397106)[0m [284]	train-mlogloss:0.91080	validation-mlogloss:0.91415
[36m(train_xgb_ray_tune pid=2397118)[0m [195]	train-mlogloss:0.80933	validation-mlogloss:0.82042
[36m(train_xgb_ray_tune pid=2397118)[0m [196]	train-mlogloss:0.80865	validation-mlogloss:0.81980
[36m(train_xgb_ray_tune pid=2397114)[0m [251]	train-mlogloss:0.98372	validation-mlogloss:0.98029
[36m(train_xgb_ray_tune pid=2397117)[0m [222]	train-mlogloss:0.95130	validation-mlogloss:0.94949
[36m(train_xgb_ray_tune pid=2397113)[0m [223]	train-mlogloss:0.91757	validation-mlogloss:0.92580
[36m(train_xgb_ray_tune pid=2397103)[0m [262]	train-mlogloss:0.79826	validation-mlogloss:0.80543
[36m(train_xgb_ray_tune pid=2397107)[0m [304]	train-mlogloss:1.22019	validation-mlogloss:1.21717
[36m(train_xgb_ray_tune pid=2397107)[0m [305]	train-mlogloss:1.21995	validation-mlogloss:1.21692
[36m(train_xgb_ray_tune pid=2397111)[0m [257]	train-mlogloss:0.96281	validation-mlogloss:0.95839
[36m(train_xgb_ray_tune pid=2397112)[0m [241]	train-mlogloss:0.91445	validation-mlogloss:0.91928
[36m(train_xgb_ray_tune pid=2397105)[0m [320]	train-mlogloss:0.95815	validation-mlogloss:0.95077
[36m(train_xgb_ray_tune pid=2397105)[0m [321]	train-mlogloss:0.95784	validation-mlogloss:0.95046
[36m(train_xgb_ray_tune pid=2397109)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_xgb_ray_tune pid=2397109)[0m   _log_deprecation_warning(
[36m(train_xgb_ray_tune pid=2397116)[0m 2025-11-07 10:37:31.673273: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.[32m [repeated 19x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)[0m
[36m(train_xgb_ray_tune pid=2397119)[0m 2025-11-07 10:37:31.614551: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m E0000 00:00:1762508251.726570 2398365 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m E0000 00:00:1762508251.735203 2398365 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m W0000 00:00:1762508251.756203 2398365 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.[32m [repeated 76x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m 2025-11-07 10:37:31.762511: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397116)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397115)[0m [267]	train-mlogloss:1.18868	validation-mlogloss:1.18550
[36m(train_xgb_ray_tune pid=2397116)[0m [228]	train-mlogloss:0.91858	validation-mlogloss:0.91412
[36m(train_xgb_ray_tune pid=2397097)[0m [261]	train-mlogloss:0.99545	validation-mlogloss:0.99548
[36m(train_xgb_ray_tune pid=2397110)[0m [230]	train-mlogloss:1.11122	validation-mlogloss:1.10725
[36m(train_xgb_ray_tune pid=2397108)[0m [275]	train-mlogloss:1.24090	validation-mlogloss:1.23530
[36m(train_xgb_ray_tune pid=2397091)[0m [249]	train-mlogloss:0.93432	validation-mlogloss:0.92711
[36m(train_xgb_ray_tune pid=2397106)[0m [285]	train-mlogloss:0.91038	validation-mlogloss:0.91372
[36m(train_xgb_ray_tune pid=2397118)[0m [197]	train-mlogloss:0.80815	validation-mlogloss:0.81919
[36m(train_xgb_ray_tune pid=2397117)[0m [223]	train-mlogloss:0.95052	validation-mlogloss:0.94865
[36m(train_xgb_ray_tune pid=2397113)[0m [224]	train-mlogloss:0.91661	validation-mlogloss:0.92480
[36m(train_xgb_ray_tune pid=2397103)[0m [263]	train-mlogloss:0.79783	validation-mlogloss:0.80504
[36m(train_xgb_ray_tune pid=2397107)[0m [306]	train-mlogloss:1.21972	validation-mlogloss:1.21669
[36m(train_xgb_ray_tune pid=2397111)[0m [258]	train-mlogloss:0.96215	validation-mlogloss:0.95772
[36m(train_xgb_ray_tune pid=2397112)[0m [242]	train-mlogloss:0.91362	validation-mlogloss:0.91856
[36m(train_xgb_ray_tune pid=2397105)[0m [322]	train-mlogloss:0.95747	validation-mlogloss:0.95005
[36m(train_xgb_ray_tune pid=2397119)[0m [292]	train-mlogloss:1.29457	validation-mlogloss:1.29092
[36m(train_xgb_ray_tune pid=2397115)[0m [268]	train-mlogloss:1.18841	validation-mlogloss:1.18521
[36m(train_xgb_ray_tune pid=2397116)[0m [229]	train-mlogloss:0.91811	validation-mlogloss:0.91364
[36m(train_xgb_ray_tune pid=2397097)[0m [262]	train-mlogloss:0.99507	validation-mlogloss:0.99508
[36m(train_xgb_ray_tune pid=2397110)[0m [231]	train-mlogloss:1.11057	validation-mlogloss:1.10661
[36m(train_xgb_ray_tune pid=2397108)[0m [276]	train-mlogloss:1.24067	validation-mlogloss:1.23507
[36m(train_xgb_ray_tune pid=2397091)[0m [250]	train-mlogloss:0.93392	validation-mlogloss:0.92670
[36m(train_xgb_ray_tune pid=2397085)[0m [245]	train-mlogloss:0.83782	validation-mlogloss:0.85014
[36m(train_xgb_ray_tune pid=2397104)[0m [194]	train-mlogloss:0.99088	validation-mlogloss:0.99779
[36m(train_xgb_ray_tune pid=2397117)[0m [224]	train-mlogloss:0.94970	validation-mlogloss:0.94790
[36m(train_xgb_ray_tune pid=2397113)[0m [225]	train-mlogloss:0.91582	validation-mlogloss:0.92399
[36m(train_xgb_ray_tune pid=2397103)[0m [264]	train-mlogloss:0.79753	validation-mlogloss:0.80472
[36m(train_xgb_ray_tune pid=2397107)[0m [307]	train-mlogloss:1.21950	validation-mlogloss:1.21645
[36m(train_xgb_ray_tune pid=2397111)[0m [259]	train-mlogloss:0.96150	validation-mlogloss:0.95712
[36m(train_xgb_ray_tune pid=2397112)[0m [243]	train-mlogloss:0.91274	validation-mlogloss:0.91764
[36m(train_xgb_ray_tune pid=2397105)[0m [323]	train-mlogloss:0.95722	validation-mlogloss:0.94980
[36m(train_xgb_ray_tune pid=2397115)[0m [269]	train-mlogloss:1.18814	validation-mlogloss:1.18493
[36m(train_xgb_ray_tune pid=2397116)[0m [230]	train-mlogloss:0.91762	validation-mlogloss:0.91325
[36m(train_xgb_ray_tune pid=2397097)[0m [263]	train-mlogloss:0.99487	validation-mlogloss:0.99485
[36m(train_xgb_ray_tune pid=2397110)[0m [232]	train-mlogloss:1.10995	validation-mlogloss:1.10593
[36m(train_xgb_ray_tune pid=2397108)[0m [277]	train-mlogloss:1.24043	validation-mlogloss:1.23482
[36m(train_xgb_ray_tune pid=2397091)[0m [251]	train-mlogloss:0.93351	validation-mlogloss:0.92626
[36m(train_xgb_ray_tune pid=2397085)[0m [246]	train-mlogloss:0.83730	validation-mlogloss:0.84963
[36m(train_xgb_ray_tune pid=2397104)[0m [195]	train-mlogloss:0.98975	validation-mlogloss:0.99665
[36m(train_xgb_ray_tune pid=2397106)[0m [286]	train-mlogloss:0.91008	validation-mlogloss:0.91341
[36m(train_xgb_ray_tune pid=2397118)[0m [198]	train-mlogloss:0.80770	validation-mlogloss:0.81868
[36m(train_xgb_ray_tune pid=2397114)[0m [252]	train-mlogloss:0.98301	validation-mlogloss:0.97955
[36m(train_xgb_ray_tune pid=2397113)[0m [226]	train-mlogloss:0.91480	validation-mlogloss:0.92299
[36m(train_xgb_ray_tune pid=2397107)[0m [308]	train-mlogloss:1.21925	validation-mlogloss:1.21619
[36m(train_xgb_ray_tune pid=2397105)[0m [324]	train-mlogloss:0.95683	validation-mlogloss:0.94944
[36m(train_xgb_ray_tune pid=2397119)[0m [293]	train-mlogloss:1.29439	validation-mlogloss:1.29073
[36m(train_xgb_ray_tune pid=2397115)[0m [270]	train-mlogloss:1.18790	validation-mlogloss:1.18467
[36m(train_xgb_ray_tune pid=2397097)[0m [264]	train-mlogloss:0.99466	validation-mlogloss:0.99463
[36m(train_xgb_ray_tune pid=2397108)[0m [278]	train-mlogloss:1.24023	validation-mlogloss:1.23461
[36m(train_xgb_ray_tune pid=2397091)[0m [252]	train-mlogloss:0.93311	validation-mlogloss:0.92584
[36m(train_xgb_ray_tune pid=2397117)[0m [225]	train-mlogloss:0.94891	validation-mlogloss:0.94712
[36m(train_xgb_ray_tune pid=2397103)[0m [265]	train-mlogloss:0.79727	validation-mlogloss:0.80440
[36m(train_xgb_ray_tune pid=2397107)[0m [309]	train-mlogloss:1.21902	validation-mlogloss:1.21595
[36m(train_xgb_ray_tune pid=2397111)[0m [260]	train-mlogloss:0.96095	validation-mlogloss:0.95653
[36m(train_xgb_ray_tune pid=2397112)[0m [244]	train-mlogloss:0.91181	validation-mlogloss:0.91672
[36m(train_xgb_ray_tune pid=2397105)[0m [325]	train-mlogloss:0.95652	validation-mlogloss:0.94913
[36m(train_xgb_ray_tune pid=2397115)[0m [271]	train-mlogloss:1.18763	validation-mlogloss:1.18439
[36m(train_xgb_ray_tune pid=2397116)[0m [231]	train-mlogloss:0.91724	validation-mlogloss:0.91286

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:38. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.08748 │
│ time_total_s                 7.08748 │
│ training_iteration                 1 │
│ validation_accuracy          0.60534 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397110)[0m [233]	train-mlogloss:1.10935	validation-mlogloss:1.10526
[36m(train_xgb_ray_tune pid=2397108)[0m [279]	train-mlogloss:1.24000	validation-mlogloss:1.23437
[36m(train_xgb_ray_tune pid=2397091)[0m [253]	train-mlogloss:0.93270	validation-mlogloss:0.92536
[36m(train_xgb_ray_tune pid=2397085)[0m [247]	train-mlogloss:0.83667	validation-mlogloss:0.84909
[36m(train_xgb_ray_tune pid=2397104)[0m [196]	train-mlogloss:0.98874	validation-mlogloss:0.99561
[36m(train_xgb_ray_tune pid=2397106)[0m [287]	train-mlogloss:0.90968	validation-mlogloss:0.91297
[36m(train_xgb_ray_tune pid=2397118)[0m [199]	train-mlogloss:0.80708	validation-mlogloss:0.81806
[36m(train_xgb_ray_tune pid=2397117)[0m [226]	train-mlogloss:0.94807	validation-mlogloss:0.94630
[36m(train_xgb_ray_tune pid=2397113)[0m [227]	train-mlogloss:0.91383	validation-mlogloss:0.92204
[36m(train_xgb_ray_tune pid=2397103)[0m [266]	train-mlogloss:0.79688	validation-mlogloss:0.80390
[36m(train_xgb_ray_tune pid=2397107)[0m [310]	train-mlogloss:1.21875	validation-mlogloss:1.21567
[36m(train_xgb_ray_tune pid=2397111)[0m [261]	train-mlogloss:0.96029	validation-mlogloss:0.95590
[36m(train_xgb_ray_tune pid=2397112)[0m [245]	train-mlogloss:0.91101	validation-mlogloss:0.91590
[36m(train_xgb_ray_tune pid=2397105)[0m [326]	train-mlogloss:0.95621	validation-mlogloss:0.94882
[36m(train_xgb_ray_tune pid=2397119)[0m [294]	train-mlogloss:1.29421	validation-mlogloss:1.29054
[36m(train_xgb_ray_tune pid=2397116)[0m [232]	train-mlogloss:0.91679	validation-mlogloss:0.91232
[36m(train_xgb_ray_tune pid=2397097)[0m [265]	train-mlogloss:0.99438	validation-mlogloss:0.99440
[36m(train_xgb_ray_tune pid=2397110)[0m [234]	train-mlogloss:1.10868	validation-mlogloss:1.10458
[36m(train_xgb_ray_tune pid=2397108)[0m [280]	train-mlogloss:1.23977	validation-mlogloss:1.23413
[36m(train_xgb_ray_tune pid=2397108)[0m [281]	train-mlogloss:1.23954	validation-mlogloss:1.23389
[36m(train_xgb_ray_tune pid=2397091)[0m [254]	train-mlogloss:0.93238	validation-mlogloss:0.92502
[36m(train_xgb_ray_tune pid=2397085)[0m [248]	train-mlogloss:0.83624	validation-mlogloss:0.84867
[36m(train_xgb_ray_tune pid=2397104)[0m [197]	train-mlogloss:0.98782	validation-mlogloss:0.99473
[36m(train_xgb_ray_tune pid=2397106)[0m [288]	train-mlogloss:0.90929	validation-mlogloss:0.91261
[36m(train_xgb_ray_tune pid=2397118)[0m [200]	train-mlogloss:0.80658	validation-mlogloss:0.81750
[36m(train_xgb_ray_tune pid=2397117)[0m [227]	train-mlogloss:0.94738	validation-mlogloss:0.94561
[36m(train_xgb_ray_tune pid=2397113)[0m [228]	train-mlogloss:0.91280	validation-mlogloss:0.92104
[36m(train_xgb_ray_tune pid=2397103)[0m [267]	train-mlogloss:0.79658	validation-mlogloss:0.80357
[36m(train_xgb_ray_tune pid=2397107)[0m [311]	train-mlogloss:1.21852	validation-mlogloss:1.21542
[36m(train_xgb_ray_tune pid=2397105)[0m [327]	train-mlogloss:0.95571	validation-mlogloss:0.94830
[36m(train_xgb_ray_tune pid=2397119)[0m [295]	train-mlogloss:1.29404	validation-mlogloss:1.29037
[36m(train_xgb_ray_tune pid=2397115)[0m [272]	train-mlogloss:1.18736	validation-mlogloss:1.18411
[36m(train_xgb_ray_tune pid=2397115)[0m [273]	train-mlogloss:1.18711	validation-mlogloss:1.18384
[36m(train_xgb_ray_tune pid=2397116)[0m [233]	train-mlogloss:0.91634	validation-mlogloss:0.91185
[36m(train_xgb_ray_tune pid=2397097)[0m [266]	train-mlogloss:0.99421	validation-mlogloss:0.99421
[36m(train_xgb_ray_tune pid=2397110)[0m [235]	train-mlogloss:1.10801	validation-mlogloss:1.10389
[36m(train_xgb_ray_tune pid=2397108)[0m [282]	train-mlogloss:1.23932	validation-mlogloss:1.23366
[36m(train_xgb_ray_tune pid=2397091)[0m [255]	train-mlogloss:0.93199	validation-mlogloss:0.92458
[36m(train_xgb_ray_tune pid=2397085)[0m [249]	train-mlogloss:0.83581	validation-mlogloss:0.84823
[36m(train_xgb_ray_tune pid=2397085)[0m 
[36m(train_xgb_ray_tune pid=2397106)[0m [289]	train-mlogloss:0.90888	validation-mlogloss:0.91217
[36m(train_xgb_ray_tune pid=2397118)[0m [201]	train-mlogloss:0.80581	validation-mlogloss:0.81676
[36m(train_xgb_ray_tune pid=2397113)[0m [229]	train-mlogloss:0.91186	validation-mlogloss:0.92013
[36m(train_xgb_ray_tune pid=2397103)[0m [268]	train-mlogloss:0.79624	validation-mlogloss:0.80322
[36m(train_xgb_ray_tune pid=2397107)[0m [312]	train-mlogloss:1.21829	validation-mlogloss:1.21519
[36m(train_xgb_ray_tune pid=2397107)[0m [313]	train-mlogloss:1.21803	validation-mlogloss:1.21490
[36m(train_xgb_ray_tune pid=2397111)[0m [262]	train-mlogloss:0.95959	validation-mlogloss:0.95513
[36m(train_xgb_ray_tune pid=2397112)[0m [246]	train-mlogloss:0.91016	validation-mlogloss:0.91508
[36m(train_xgb_ray_tune pid=2397105)[0m [328]	train-mlogloss:0.95541	validation-mlogloss:0.94792
[36m(train_xgb_ray_tune pid=2397119)[0m [296]	train-mlogloss:1.29387	validation-mlogloss:1.29019
[36m(train_xgb_ray_tune pid=2397115)[0m [274]	train-mlogloss:1.18686	validation-mlogloss:1.18359
[36m(train_xgb_ray_tune pid=2397116)[0m [234]	train-mlogloss:0.91589	validation-mlogloss:0.91139
[36m(train_xgb_ray_tune pid=2397097)[0m [267]	train-mlogloss:0.99398	validation-mlogloss:0.99399
[36m(train_xgb_ray_tune pid=2397110)[0m [236]	train-mlogloss:1.10747	validation-mlogloss:1.10331

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:38. Total running time: 10s
[36m(train_xgb_ray_tune pid=2397108)[0m [283]	train-mlogloss:1.23912	validation-mlogloss:1.23345
[36m(train_xgb_ray_tune pid=2397091)[0m [256]	train-mlogloss:0.93138	validation-mlogloss:0.92393
[36m(train_xgb_ray_tune pid=2397104)[0m [198]	train-mlogloss:0.98686	validation-mlogloss:0.99382
[36m(train_xgb_ray_tune pid=2397104)[0m [199]	train-mlogloss:0.98590	validation-mlogloss:0.99286
[36m(train_xgb_ray_tune pid=2397106)[0m [290]	train-mlogloss:0.90860	validation-mlogloss:0.91190
[36m(train_xgb_ray_tune pid=2397118)[0m [202]	train-mlogloss:0.80537	validation-mlogloss:0.81637
[36m(train_xgb_ray_tune pid=2397118)[0m [203]	train-mlogloss:0.80489	validation-mlogloss:0.81601
[36m(train_xgb_ray_tune pid=2397114)[0m [253]	train-mlogloss:0.98231	validation-mlogloss:0.97882
[36m(train_xgb_ray_tune pid=2397117)[0m [228]	train-mlogloss:0.94654	validation-mlogloss:0.94483
[36m(train_xgb_ray_tune pid=2397117)[0m [229]	train-mlogloss:0.94582	validation-mlogloss:0.94415
[36m(train_xgb_ray_tune pid=2397113)[0m [230]	train-mlogloss:0.91096	validation-mlogloss:0.91930
[36m(train_xgb_ray_tune pid=2397103)[0m [269]	train-mlogloss:0.79591	validation-mlogloss:0.80286
[36m(train_xgb_ray_tune pid=2397107)[0m [314]	train-mlogloss:1.21779	validation-mlogloss:1.21466
[36m(train_xgb_ray_tune pid=2397107)[0m [315]	train-mlogloss:1.21756	validation-mlogloss:1.21442
[36m(train_xgb_ray_tune pid=2397111)[0m [263]	train-mlogloss:0.95901	validation-mlogloss:0.95469
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[36m(train_xgb_ray_tune pid=2397112)[0m [270]	train-mlogloss:0.89136	validation-mlogloss:0.89668
[36m(train_xgb_ray_tune pid=2397105)[0m [358]	train-mlogloss:0.94496	validation-mlogloss:0.93686
[36m(train_xgb_ray_tune pid=2397105)[0m [359]	train-mlogloss:0.94467	validation-mlogloss:0.93655
[36m(train_xgb_ray_tune pid=2397119)[0m [329]	train-mlogloss:1.28838	validation-mlogloss:1.28448
[36m(train_xgb_ray_tune pid=2397115)[0m [308]	train-mlogloss:1.17837	validation-mlogloss:1.17470
[36m(train_xgb_ray_tune pid=2397115)[0m [309]	train-mlogloss:1.17815	validation-mlogloss:1.17447
[36m(train_xgb_ray_tune pid=2397116)[0m [263]	train-mlogloss:0.90214	validation-mlogloss:0.89706
[36m(train_xgb_ray_tune pid=2397097)[0m [298]	train-mlogloss:0.98773	validation-mlogloss:0.98793
[36m(train_xgb_ray_tune pid=2397097)[0m [299]	train-mlogloss:0.98757	validation-mlogloss:0.98779
[36m(train_xgb_ray_tune pid=2397110)[0m [262]	train-mlogloss:1.09247	validation-mlogloss:1.08787
[36m(train_xgb_ray_tune pid=2397108)[0m [318]	train-mlogloss:1.23197	validation-mlogloss:1.22598
[36m(train_xgb_ray_tune pid=2397108)[0m [319]	train-mlogloss:1.23177	validation-mlogloss:1.22578
[36m(train_xgb_ray_tune pid=2397091)[0m [287]	train-mlogloss:0.92060	validation-mlogloss:0.91288
[36m(train_xgb_ray_tune pid=2397085)[0m [274]	train-mlogloss:0.82415	validation-mlogloss:0.83663
[36m(train_xgb_ray_tune pid=2397106)[0m [315]	train-mlogloss:0.89928	validation-mlogloss:0.90257
[36m(train_xgb_ray_tune pid=2397117)[0m [254]	train-mlogloss:0.92708	validation-mlogloss:0.92609
[36m(train_xgb_ray_tune pid=2397113)[0m [255]	train-mlogloss:0.88902	validation-mlogloss:0.89774
[36m(train_xgb_ray_tune pid=2397103)[0m [296]	train-mlogloss:0.78808	validation-mlogloss:0.79517
[36m(train_xgb_ray_tune pid=2397107)[0m [350]	train-mlogloss:1.20971	validation-mlogloss:1.20624
[36m(train_xgb_ray_tune pid=2397111)[0m [288]	train-mlogloss:0.94379	validation-mlogloss:0.93929
[36m(train_xgb_ray_tune pid=2397112)[0m [271]	train-mlogloss:0.89060	validation-mlogloss:0.89594
[36m(train_xgb_ray_tune pid=2397105)[0m [360]	train-mlogloss:0.94428	validation-mlogloss:0.93620
[36m(train_xgb_ray_tune pid=2397119)[0m [330]	train-mlogloss:1.28823	validation-mlogloss:1.28433
[36m(train_xgb_ray_tune pid=2397115)[0m [310]	train-mlogloss:1.17792	validation-mlogloss:1.17424
[36m(train_xgb_ray_tune pid=2397116)[0m [264]	train-mlogloss:0.90156	validation-mlogloss:0.89651
[36m(train_xgb_ray_tune pid=2397097)[0m [300]	train-mlogloss:0.98732	validation-mlogloss:0.98758
[36m(train_xgb_ray_tune pid=2397110)[0m [263]	train-mlogloss:1.09199	validation-mlogloss:1.08735
[36m(train_xgb_ray_tune pid=2397108)[0m [320]	train-mlogloss:1.23155	validation-mlogloss:1.22556
[36m(train_xgb_ray_tune pid=2397091)[0m [288]	train-mlogloss:0.92034	validation-mlogloss:0.91261
[36m(train_xgb_ray_tune pid=2397085)[0m [275]	train-mlogloss:0.82370	validation-mlogloss:0.83617
[36m(train_xgb_ray_tune pid=2397104)[0m [220]	train-mlogloss:0.96603	validation-mlogloss:0.97339
[36m(train_xgb_ray_tune pid=2397106)[0m [316]	train-mlogloss:0.89903	validation-mlogloss:0.90235
[36m(train_xgb_ray_tune pid=2397114)[0m [270]	train-mlogloss:0.97100	validation-mlogloss:0.96720
[36m(train_xgb_ray_tune pid=2397117)[0m [255]	train-mlogloss:0.92637	validation-mlogloss:0.92538
[36m(train_xgb_ray_tune pid=2397113)[0m [256]	train-mlogloss:0.88825	validation-mlogloss:0.89700
[36m(train_xgb_ray_tune pid=2397103)[0m [297]	train-mlogloss:0.78780	validation-mlogloss:0.79483
[36m(train_xgb_ray_tune pid=2397107)[0m [351]	train-mlogloss:1.20951	validation-mlogloss:1.20602
[36m(train_xgb_ray_tune pid=2397107)[0m [352]	train-mlogloss:1.20931	validation-mlogloss:1.20581
[36m(train_xgb_ray_tune pid=2397111)[0m [289]	train-mlogloss:0.94319	validation-mlogloss:0.93867
[36m(train_xgb_ray_tune pid=2397112)[0m [272]	train-mlogloss:0.88988	validation-mlogloss:0.89528
[36m(train_xgb_ray_tune pid=2397105)[0m [361]	train-mlogloss:0.94389	validation-mlogloss:0.93581
[36m(train_xgb_ray_tune pid=2397119)[0m [331]	train-mlogloss:1.28807	validation-mlogloss:1.28415
[36m(train_xgb_ray_tune pid=2397115)[0m [311]	train-mlogloss:1.17771	validation-mlogloss:1.17401
[36m(train_xgb_ray_tune pid=2397116)[0m [265]	train-mlogloss:0.90111	validation-mlogloss:0.89600
[36m(train_xgb_ray_tune pid=2397097)[0m [301]	train-mlogloss:0.98715	validation-mlogloss:0.98743
[36m(train_xgb_ray_tune pid=2397110)[0m [264]	train-mlogloss:1.09148	validation-mlogloss:1.08681
[36m(train_xgb_ray_tune pid=2397108)[0m [321]	train-mlogloss:1.23137	validation-mlogloss:1.22536
[36m(train_xgb_ray_tune pid=2397091)[0m [289]	train-mlogloss:0.91998	validation-mlogloss:0.91222
[36m(train_xgb_ray_tune pid=2397091)[0m [290]	train-mlogloss:0.91973	validation-mlogloss:0.91194
[36m(train_xgb_ray_tune pid=2397085)[0m [276]	train-mlogloss:0.82335	validation-mlogloss:0.83585
[36m(train_xgb_ray_tune pid=2397104)[0m [221]	train-mlogloss:0.96514	validation-mlogloss:0.97252
[36m(train_xgb_ray_tune pid=2397106)[0m [317]	train-mlogloss:0.89860	validation-mlogloss:0.90189
[36m(train_xgb_ray_tune pid=2397114)[0m [271]	train-mlogloss:0.97036	validation-mlogloss:0.96655
[36m(train_xgb_ray_tune pid=2397117)[0m [256]	train-mlogloss:0.92566	validation-mlogloss:0.92468
[36m(train_xgb_ray_tune pid=2397113)[0m [257]	train-mlogloss:0.88758	validation-mlogloss:0.89633
[36m(train_xgb_ray_tune pid=2397103)[0m [298]	train-mlogloss:0.78761	validation-mlogloss:0.79461
[36m(train_xgb_ray_tune pid=2397107)[0m [353]	train-mlogloss:1.20907	validation-mlogloss:1.20556
[36m(train_xgb_ray_tune pid=2397111)[0m [290]	train-mlogloss:0.94267	validation-mlogloss:0.93813
[36m(train_xgb_ray_tune pid=2397105)[0m [362]	train-mlogloss:0.94363	validation-mlogloss:0.93550
[36m(train_xgb_ray_tune pid=2397115)[0m [312]	train-mlogloss:1.17750	validation-mlogloss:1.17379
[36m(train_xgb_ray_tune pid=2397116)[0m [266]	train-mlogloss:0.90071	validation-mlogloss:0.89565
[36m(train_xgb_ray_tune pid=2397097)[0m [302]	train-mlogloss:0.98705	validation-mlogloss:0.98731
[36m(train_xgb_ray_tune pid=2397110)[0m [265]	train-mlogloss:1.09094	validation-mlogloss:1.08624
[36m(train_xgb_ray_tune pid=2397108)[0m [322]	train-mlogloss:1.23119	validation-mlogloss:1.22518
[36m(train_xgb_ray_tune pid=2397091)[0m [291]	train-mlogloss:0.91947	validation-mlogloss:0.91168
[36m(train_xgb_ray_tune pid=2397085)[0m [277]	train-mlogloss:0.82304	validation-mlogloss:0.83556
[36m(train_xgb_ray_tune pid=2397104)[0m [222]	train-mlogloss:0.96430	validation-mlogloss:0.97167
[36m(train_xgb_ray_tune pid=2397107)[0m [354]	train-mlogloss:1.20886	validation-mlogloss:1.20534
[36m(train_xgb_ray_tune pid=2397112)[0m [273]	train-mlogloss:0.88916	validation-mlogloss:0.89465
[36m(train_xgb_ray_tune pid=2397105)[0m [363]	train-mlogloss:0.94337	validation-mlogloss:0.93526
[36m(train_xgb_ray_tune pid=2397119)[0m [332]	train-mlogloss:1.28792	validation-mlogloss:1.28400
[36m(train_xgb_ray_tune pid=2397115)[0m [313]	train-mlogloss:1.17728	validation-mlogloss:1.17356
[36m(train_xgb_ray_tune pid=2397116)[0m [267]	train-mlogloss:0.90030	validation-mlogloss:0.89522
[36m(train_xgb_ray_tune pid=2397097)[0m [303]	train-mlogloss:0.98693	validation-mlogloss:0.98717
[36m(train_xgb_ray_tune pid=2397110)[0m [266]	train-mlogloss:1.09040	validation-mlogloss:1.08572
[36m(train_xgb_ray_tune pid=2397108)[0m [323]	train-mlogloss:1.23102	validation-mlogloss:1.22501
[36m(train_xgb_ray_tune pid=2397106)[0m [318]	train-mlogloss:0.89828	validation-mlogloss:0.90158

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:38. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.51829 │
│ time_total_s                 7.51829 │
│ training_iteration                 1 │
│ validation_accuracy          0.67135 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397114)[0m [272]	train-mlogloss:0.96969	validation-mlogloss:0.96587
[36m(train_xgb_ray_tune pid=2397117)[0m [257]	train-mlogloss:0.92485	validation-mlogloss:0.92391
[36m(train_xgb_ray_tune pid=2397113)[0m [258]	train-mlogloss:0.88675	validation-mlogloss:0.89545
[36m(train_xgb_ray_tune pid=2397103)[0m [299]	train-mlogloss:0.78724	validation-mlogloss:0.79414
[36m(train_xgb_ray_tune pid=2397107)[0m [355]	train-mlogloss:1.20866	validation-mlogloss:1.20514
[36m(train_xgb_ray_tune pid=2397111)[0m [291]	train-mlogloss:0.94208	validation-mlogloss:0.93749
[36m(train_xgb_ray_tune pid=2397112)[0m [274]	train-mlogloss:0.88854	validation-mlogloss:0.89408
[36m(train_xgb_ray_tune pid=2397105)[0m [364]	train-mlogloss:0.94316	validation-mlogloss:0.93508
[36m(train_xgb_ray_tune pid=2397119)[0m [333]	train-mlogloss:1.28776	validation-mlogloss:1.28384
[36m(train_xgb_ray_tune pid=2397115)[0m [314]	train-mlogloss:1.17708	validation-mlogloss:1.17334
[36m(train_xgb_ray_tune pid=2397116)[0m [268]	train-mlogloss:0.89982	validation-mlogloss:0.89471
[36m(train_xgb_ray_tune pid=2397097)[0m [304]	train-mlogloss:0.98669	validation-mlogloss:0.98697
[36m(train_xgb_ray_tune pid=2397110)[0m [267]	train-mlogloss:1.08992	validation-mlogloss:1.08526

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:38. Total running time: 10s
[36m(train_xgb_ray_tune pid=2397108)[0m [324]	train-mlogloss:1.23085	validation-mlogloss:1.22482
[36m(train_xgb_ray_tune pid=2397091)[0m [292]	train-mlogloss:0.91921	validation-mlogloss:0.91153
[36m(train_xgb_ray_tune pid=2397085)[0m [278]	train-mlogloss:0.82269	validation-mlogloss:0.83525
[36m(train_xgb_ray_tune pid=2397104)[0m [223]	train-mlogloss:0.96343	validation-mlogloss:0.97086
[36m(train_xgb_ray_tune pid=2397106)[0m [319]	train-mlogloss:0.89791	validation-mlogloss:0.90126
[36m(train_xgb_ray_tune pid=2397114)[0m [273]	train-mlogloss:0.96908	validation-mlogloss:0.96529
[36m(train_xgb_ray_tune pid=2397117)[0m [258]	train-mlogloss:0.92421	validation-mlogloss:0.92322
[36m(train_xgb_ray_tune pid=2397113)[0m [259]	train-mlogloss:0.88604	validation-mlogloss:0.89479
[36m(train_xgb_ray_tune pid=2397103)[0m [300]	train-mlogloss:0.78703	validation-mlogloss:0.79395
[36m(train_xgb_ray_tune pid=2397107)[0m [356]	train-mlogloss:1.20846	validation-mlogloss:1.20493
[36m(train_xgb_ray_tune pid=2397111)[0m [292]	train-mlogloss:0.94148	validation-mlogloss:0.93694
[36m(train_xgb_ray_tune pid=2397112)[0m [275]	train-mlogloss:0.88786	validation-mlogloss:0.89335
[36m(train_xgb_ray_tune pid=2397105)[0m [365]	train-mlogloss:0.94289	validation-mlogloss:0.93481
[36m(train_xgb_ray_tune pid=2397105)[0m [366]	train-mlogloss:0.94255	validation-mlogloss:0.93447
[36m(train_xgb_ray_tune pid=2397119)[0m [334]	train-mlogloss:1.28759	validation-mlogloss:1.28365
[36m(train_xgb_ray_tune pid=2397115)[0m [315]	train-mlogloss:1.17685	validation-mlogloss:1.17311
[36m(train_xgb_ray_tune pid=2397115)[0m [316]	train-mlogloss:1.17663	validation-mlogloss:1.17287
[36m(train_xgb_ray_tune pid=2397116)[0m [269]	train-mlogloss:0.89944	validation-mlogloss:0.89437
[36m(train_xgb_ray_tune pid=2397116)[0m [270]	train-mlogloss:0.89905	validation-mlogloss:0.89402
[36m(train_xgb_ray_tune pid=2397097)[0m [305]	train-mlogloss:0.98647	validation-mlogloss:0.98680
[36m(train_xgb_ray_tune pid=2397110)[0m [268]	train-mlogloss:1.08945	validation-mlogloss:1.08479
[36m(train_xgb_ray_tune pid=2397110)[0m [269]	train-mlogloss:1.08905	validation-mlogloss:1.08436
[36m(train_xgb_ray_tune pid=2397108)[0m [325]	train-mlogloss:1.23066	validation-mlogloss:1.22462
[36m(train_xgb_ray_tune pid=2397108)[0m [326]	train-mlogloss:1.23048	validation-mlogloss:1.22443
[36m(train_xgb_ray_tune pid=2397091)[0m [293]	train-mlogloss:0.91896	validation-mlogloss:0.91124
[36m(train_xgb_ray_tune pid=2397091)[0m [294]	train-mlogloss:0.91869	validation-mlogloss:0.91091
[36m(train_xgb_ray_tune pid=2397085)[0m [279]	train-mlogloss:0.82215	validation-mlogloss:0.83471
[36m(train_xgb_ray_tune pid=2397085)[0m [280]	train-mlogloss:0.82181	validation-mlogloss:0.83438
[36m(train_xgb_ray_tune pid=2397104)[0m [224]	train-mlogloss:0.96256	validation-mlogloss:0.96995
[36m(train_xgb_ray_tune pid=2397106)[0m [320]	train-mlogloss:0.89752	validation-mlogloss:0.90090
[36m(train_xgb_ray_tune pid=2397106)[0m [321]	train-mlogloss:0.89729	validation-mlogloss:0.90061
[36m(train_xgb_ray_tune pid=2397114)[0m [274]	train-mlogloss:0.96848	validation-mlogloss:0.96466
[36m(train_xgb_ray_tune pid=2397117)[0m [259]	train-mlogloss:0.92343	validation-mlogloss:0.92245
[36m(train_xgb_ray_tune pid=2397117)[0m [260]	train-mlogloss:0.92283	validation-mlogloss:0.92192
[36m(train_xgb_ray_tune pid=2397113)[0m [260]	train-mlogloss:0.88535	validation-mlogloss:0.89415
[36m(train_xgb_ray_tune pid=2397103)[0m [301]	train-mlogloss:0.78673	validation-mlogloss:0.79372
[36m(train_xgb_ray_tune pid=2397103)[0m [302]	train-mlogloss:0.78641	validation-mlogloss:0.79350
[36m(train_xgb_ray_tune pid=2397107)[0m [357]	train-mlogloss:1.20826	validation-mlogloss:1.20472
[36m(train_xgb_ray_tune pid=2397107)[0m [358]	train-mlogloss:1.20806	validation-mlogloss:1.20451
[36m(train_xgb_ray_tune pid=2397111)[0m [293]	train-mlogloss:0.94076	validation-mlogloss:0.93627
[36m(train_xgb_ray_tune pid=2397111)[0m [294]	train-mlogloss:0.94031	validation-mlogloss:0.93579
[36m(train_xgb_ray_tune pid=2397112)[0m [276]	train-mlogloss:0.88705	validation-mlogloss:0.89254
[36m(train_xgb_ray_tune pid=2397105)[0m [367]	train-mlogloss:0.94225	validation-mlogloss:0.93414
[36m(train_xgb_ray_tune pid=2397119)[0m [335]	train-mlogloss:1.28743	validation-mlogloss:1.28349
[36m(train_xgb_ray_tune pid=2397119)[0m [336]	train-mlogloss:1.28727	validation-mlogloss:1.28333
[36m(train_xgb_ray_tune pid=2397119)[0m [337]	train-mlogloss:1.28710	validation-mlogloss:1.28315
[36m(train_xgb_ray_tune pid=2397115)[0m [317]	train-mlogloss:1.17642	validation-mlogloss:1.17265
[36m(train_xgb_ray_tune pid=2397115)[0m [318]	train-mlogloss:1.17622	validation-mlogloss:1.17244
[36m(train_xgb_ray_tune pid=2397116)[0m [271]	train-mlogloss:0.89859	validation-mlogloss:0.89351
[36m(train_xgb_ray_tune pid=2397097)[0m [306]	train-mlogloss:0.98636	validation-mlogloss:0.98668
[36m(train_xgb_ray_tune pid=2397097)[0m [307]	train-mlogloss:0.98622	validation-mlogloss:0.98651
[36m(train_xgb_ray_tune pid=2397110)[0m [270]	train-mlogloss:1.08854	validation-mlogloss:1.08383
[36m(train_xgb_ray_tune pid=2397110)[0m [271]	train-mlogloss:1.08807	validation-mlogloss:1.08336
[36m(train_xgb_ray_tune pid=2397108)[0m [327]	train-mlogloss:1.23031	validation-mlogloss:1.22424
[36m(train_xgb_ray_tune pid=2397108)[0m [328]	train-mlogloss:1.23011	validation-mlogloss:1.22404
[36m(train_xgb_ray_tune pid=2397108)[0m [329]	train-mlogloss:1.22995	validation-mlogloss:1.22388
[36m(train_xgb_ray_tune pid=2397091)[0m [295]	train-mlogloss:0.91835	validation-mlogloss:0.91056
[36m(train_xgb_ray_tune pid=2397091)[0m [296]	train-mlogloss:0.91802	validation-mlogloss:0.91024
[36m(train_xgb_ray_tune pid=2397104)[0m [225]	train-mlogloss:0.96165	validation-mlogloss:0.96910
[36m(train_xgb_ray_tune pid=2397106)[0m [322]	train-mlogloss:0.89694	validation-mlogloss:0.90027
[36m(train_xgb_ray_tune pid=2397114)[0m [275]	train-mlogloss:0.96789	validation-mlogloss:0.96406
[36m(train_xgb_ray_tune pid=2397113)[0m [261]	train-mlogloss:0.88463	validation-mlogloss:0.89354
[36m(train_xgb_ray_tune pid=2397103)[0m [303]	train-mlogloss:0.78634	validation-mlogloss:0.79344
[36m(train_xgb_ray_tune pid=2397107)[0m [359]	train-mlogloss:1.20786	validation-mlogloss:1.20430
[36m(train_xgb_ray_tune pid=2397107)[0m [360]	train-mlogloss:1.20766	validation-mlogloss:1.20408
[36m(train_xgb_ray_tune pid=2397111)[0m [295]	train-mlogloss:0.93982	validation-mlogloss:0.93530
[36m(train_xgb_ray_tune pid=2397112)[0m [277]	train-mlogloss:0.88635	validation-mlogloss:0.89177
[36m(train_xgb_ray_tune pid=2397105)[0m [368]	train-mlogloss:0.94194	validation-mlogloss:0.93389
[36m(train_xgb_ray_tune pid=2397119)[0m [338]	train-mlogloss:1.28694	validation-mlogloss:1.28298
[36m(train_xgb_ray_tune pid=2397119)[0m [339]	train-mlogloss:1.28678	validation-mlogloss:1.28282
[36m(train_xgb_ray_tune pid=2397115)[0m [319]	train-mlogloss:1.17593	validation-mlogloss:1.17215
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[36m(train_xgb_ray_tune pid=2397110)[0m [282]	train-mlogloss:1.08272	validation-mlogloss:1.07788
[36m(train_xgb_ray_tune pid=2397108)[0m [343]	train-mlogloss:1.22757	validation-mlogloss:1.22138
[36m(train_xgb_ray_tune pid=2397091)[0m [309]	train-mlogloss:0.91400	validation-mlogloss:0.90590
[36m(train_xgb_ray_tune pid=2397104)[0m [233]	train-mlogloss:0.95493	validation-mlogloss:0.96259

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:38. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.96514 │
│ time_total_s                 7.96514 │
│ training_iteration                 1 │
│ validation_accuracy          0.66117 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397106)[0m [329]	train-mlogloss:0.89454	validation-mlogloss:0.89791
[36m(train_xgb_ray_tune pid=2397117)[0m [267]	train-mlogloss:0.91826	validation-mlogloss:0.91737
[36m(train_xgb_ray_tune pid=2397113)[0m [271]	train-mlogloss:0.87698	validation-mlogloss:0.88584
[36m(train_xgb_ray_tune pid=2397103)[0m [313]	train-mlogloss:0.78376	validation-mlogloss:0.79129
[36m(train_xgb_ray_tune pid=2397107)[0m [373]	train-mlogloss:1.20493	validation-mlogloss:1.20126
[36m(train_xgb_ray_tune pid=2397111)[0m [305]	train-mlogloss:0.93455	validation-mlogloss:0.93018
[36m(train_xgb_ray_tune pid=2397112)[0m [287]	train-mlogloss:0.87913	validation-mlogloss:0.88497
[36m(train_xgb_ray_tune pid=2397105)[0m [379]	train-mlogloss:0.93874	validation-mlogloss:0.93065
[36m(train_xgb_ray_tune pid=2397115)[0m [334]	train-mlogloss:1.17279	validation-mlogloss:1.16887
[36m(train_xgb_ray_tune pid=2397116)[0m [283]	train-mlogloss:0.89402	validation-mlogloss:0.88847
[36m(train_xgb_ray_tune pid=2397097)[0m [321]	train-mlogloss:0.98400	validation-mlogloss:0.98422
[36m(train_xgb_ray_tune pid=2397108)[0m [344]	train-mlogloss:1.22737	validation-mlogloss:1.22119
[36m(train_xgb_ray_tune pid=2397091)[0m [310]	train-mlogloss:0.91376	validation-mlogloss:0.90563
[36m(train_xgb_ray_tune pid=2397104)[0m [234]	train-mlogloss:0.95410	validation-mlogloss:0.96180

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:38. Total running time: 10s
[36m(train_xgb_ray_tune pid=2397106)[0m [330]	train-mlogloss:0.89429	validation-mlogloss:0.89763
[36m(train_xgb_ray_tune pid=2397114)[0m [284]	train-mlogloss:0.96233	validation-mlogloss:0.95853
[36m(train_xgb_ray_tune pid=2397113)[0m [272]	train-mlogloss:0.87627	validation-mlogloss:0.88513
[36m(train_xgb_ray_tune pid=2397103)[0m [314]	train-mlogloss:0.78357	validation-mlogloss:0.79111
[36m(train_xgb_ray_tune pid=2397107)[0m [374]	train-mlogloss:1.20474	validation-mlogloss:1.20106
[36m(train_xgb_ray_tune pid=2397111)[0m [306]	train-mlogloss:0.93404	validation-mlogloss:0.92965
[36m(train_xgb_ray_tune pid=2397112)[0m [288]	train-mlogloss:0.87851	validation-mlogloss:0.88440
[36m(train_xgb_ray_tune pid=2397105)[0m [380]	train-mlogloss:0.93849	validation-mlogloss:0.93045
[36m(train_xgb_ray_tune pid=2397115)[0m [335]	train-mlogloss:1.17260	validation-mlogloss:1.16866
[36m(train_xgb_ray_tune pid=2397097)[0m [322]	train-mlogloss:0.98384	validation-mlogloss:0.98407
[36m(train_xgb_ray_tune pid=2397110)[0m [283]	train-mlogloss:1.08220	validation-mlogloss:1.07738
[36m(train_xgb_ray_tune pid=2397108)[0m [345]	train-mlogloss:1.22722	validation-mlogloss:1.22102
[36m(train_xgb_ray_tune pid=2397091)[0m [311]	train-mlogloss:0.91352	validation-mlogloss:0.90532
[36m(train_xgb_ray_tune pid=2397106)[0m [331]	train-mlogloss:0.89410	validation-mlogloss:0.89743
[36m(train_xgb_ray_tune pid=2397114)[0m [285]	train-mlogloss:0.96174	validation-mlogloss:0.95793
[36m(train_xgb_ray_tune pid=2397117)[0m [268]	train-mlogloss:0.91761	validation-mlogloss:0.91665
[36m(train_xgb_ray_tune pid=2397113)[0m [273]	train-mlogloss:0.87556	validation-mlogloss:0.88439
[36m(train_xgb_ray_tune pid=2397103)[0m [315]	train-mlogloss:0.78330	validation-mlogloss:0.79091
[36m(train_xgb_ray_tune pid=2397107)[0m [375]	train-mlogloss:1.20455	validation-mlogloss:1.20086
[36m(train_xgb_ray_tune pid=2397107)[0m [376]	train-mlogloss:1.20435	validation-mlogloss:1.20066
[36m(train_xgb_ray_tune pid=2397111)[0m [307]	train-mlogloss:0.93351	validation-mlogloss:0.92912
[36m(train_xgb_ray_tune pid=2397111)[0m [308]	train-mlogloss:0.93302	validation-mlogloss:0.92860
[36m(train_xgb_ray_tune pid=2397105)[0m [381]	train-mlogloss:0.93823	validation-mlogloss:0.93015
[36m(train_xgb_ray_tune pid=2397115)[0m [336]	train-mlogloss:1.17239	validation-mlogloss:1.16844
[36m(train_xgb_ray_tune pid=2397116)[0m [284]	train-mlogloss:0.89360	validation-mlogloss:0.88802
[36m(train_xgb_ray_tune pid=2397097)[0m [323]	train-mlogloss:0.98368	validation-mlogloss:0.98391
[36m(train_xgb_ray_tune pid=2397110)[0m [284]	train-mlogloss:1.08172	validation-mlogloss:1.07685
[36m(train_xgb_ray_tune pid=2397110)[0m [285]	train-mlogloss:1.08124	validation-mlogloss:1.07634
[36m(train_xgb_ray_tune pid=2397108)[0m [346]	train-mlogloss:1.22705	validation-mlogloss:1.22084
[36m(train_xgb_ray_tune pid=2397108)[0m [347]	train-mlogloss:1.22689	validation-mlogloss:1.22067
[36m(train_xgb_ray_tune pid=2397091)[0m [312]	train-mlogloss:0.91336	validation-mlogloss:0.90515
[36m(train_xgb_ray_tune pid=2397091)[0m [313]	train-mlogloss:0.91312	validation-mlogloss:0.90488
[36m(train_xgb_ray_tune pid=2397104)[0m [235]	train-mlogloss:0.95324	validation-mlogloss:0.96092
[36m(train_xgb_ray_tune pid=2397104)[0m [236]	train-mlogloss:0.95241	validation-mlogloss:0.96014
[36m(train_xgb_ray_tune pid=2397104)[0m [237]	train-mlogloss:0.95153	validation-mlogloss:0.95923
[36m(train_xgb_ray_tune pid=2397106)[0m [332]	train-mlogloss:0.89369	validation-mlogloss:0.89701
[36m(train_xgb_ray_tune pid=2397106)[0m [333]	train-mlogloss:0.89333	validation-mlogloss:0.89666
[36m(train_xgb_ray_tune pid=2397114)[0m [286]	train-mlogloss:0.96115	validation-mlogloss:0.95733
[36m(train_xgb_ray_tune pid=2397114)[0m [287]	train-mlogloss:0.96056	validation-mlogloss:0.95673
[36m(train_xgb_ray_tune pid=2397117)[0m [269]	train-mlogloss:0.91685	validation-mlogloss:0.91593
[36m(train_xgb_ray_tune pid=2397113)[0m [274]	train-mlogloss:0.87479	validation-mlogloss:0.88363
[36m(train_xgb_ray_tune pid=2397103)[0m [316]	train-mlogloss:0.78318	validation-mlogloss:0.79080
[36m(train_xgb_ray_tune pid=2397103)[0m [317]	train-mlogloss:0.78291	validation-mlogloss:0.79060
[36m(train_xgb_ray_tune pid=2397107)[0m [377]	train-mlogloss:1.20416	validation-mlogloss:1.20046
[36m(train_xgb_ray_tune pid=2397107)[0m [378]	train-mlogloss:1.20382	validation-mlogloss:1.20015
[36m(train_xgb_ray_tune pid=2397111)[0m [309]	train-mlogloss:0.93250	validation-mlogloss:0.92805
[36m(train_xgb_ray_tune pid=2397111)[0m [310]	train-mlogloss:0.93197	validation-mlogloss:0.92756
[36m(train_xgb_ray_tune pid=2397112)[0m [289]	train-mlogloss:0.87796	validation-mlogloss:0.88391
[36m(train_xgb_ray_tune pid=2397112)[0m [290]	train-mlogloss:0.87718	validation-mlogloss:0.88317
[36m(train_xgb_ray_tune pid=2397105)[0m [382]	train-mlogloss:0.93797	validation-mlogloss:0.92995
[36m(train_xgb_ray_tune pid=2397105)[0m [383]	train-mlogloss:0.93765	validation-mlogloss:0.92963
[36m(train_xgb_ray_tune pid=2397115)[0m [337]	train-mlogloss:1.17219	validation-mlogloss:1.16824
[36m(train_xgb_ray_tune pid=2397115)[0m [338]	train-mlogloss:1.17200	validation-mlogloss:1.16804
[36m(train_xgb_ray_tune pid=2397115)[0m [339]	train-mlogloss:1.17181	validation-mlogloss:1.16783
[36m(train_xgb_ray_tune pid=2397116)[0m [285]	train-mlogloss:0.89320	validation-mlogloss:0.88767
[36m(train_xgb_ray_tune pid=2397116)[0m [286]	train-mlogloss:0.89284	validation-mlogloss:0.88730
[36m(train_xgb_ray_tune pid=2397097)[0m [324]	train-mlogloss:0.98348	validation-mlogloss:0.98374
[36m(train_xgb_ray_tune pid=2397097)[0m [325]	train-mlogloss:0.98339	validation-mlogloss:0.98365
[36m(train_xgb_ray_tune pid=2397110)[0m [286]	train-mlogloss:1.08080	validation-mlogloss:1.07592
[36m(train_xgb_ray_tune pid=2397108)[0m [348]	train-mlogloss:1.22672	validation-mlogloss:1.22049
[36m(train_xgb_ray_tune pid=2397108)[0m [349]	train-mlogloss:1.22658	validation-mlogloss:1.22035
[36m(train_xgb_ray_tune pid=2397091)[0m [314]	train-mlogloss:0.91287	validation-mlogloss:0.90456
[36m(train_xgb_ray_tune pid=2397104)[0m [238]	train-mlogloss:0.95067	validation-mlogloss:0.95834
[36m(train_xgb_ray_tune pid=2397106)[0m [334]	train-mlogloss:0.89296	validation-mlogloss:0.89630
[36m(train_xgb_ray_tune pid=2397106)[0m [335]	train-mlogloss:0.89272	validation-mlogloss:0.89603
[36m(train_xgb_ray_tune pid=2397114)[0m [288]	train-mlogloss:0.95994	validation-mlogloss:0.95604
[36m(train_xgb_ray_tune pid=2397114)[0m [289]	train-mlogloss:0.95940	validation-mlogloss:0.95551
[36m(train_xgb_ray_tune pid=2397117)[0m [270]	train-mlogloss:0.91620	validation-mlogloss:0.91519
[36m(train_xgb_ray_tune pid=2397117)[0m [271]	train-mlogloss:0.91563	validation-mlogloss:0.91468
[36m(train_xgb_ray_tune pid=2397113)[0m [275]	train-mlogloss:0.87404	validation-mlogloss:0.88288
[36m(train_xgb_ray_tune pid=2397113)[0m [276]	train-mlogloss:0.87328	validation-mlogloss:0.88216
[36m(train_xgb_ray_tune pid=2397103)[0m [318]	train-mlogloss:0.78280	validation-mlogloss:0.79055
[36m(train_xgb_ray_tune pid=2397103)[0m [319]	train-mlogloss:0.78253	validation-mlogloss:0.79030
[36m(train_xgb_ray_tune pid=2397107)[0m [379]	train-mlogloss:1.20364	validation-mlogloss:1.19995
[36m(train_xgb_ray_tune pid=2397107)[0m [380]	train-mlogloss:1.20345	validation-mlogloss:1.19975
[36m(train_xgb_ray_tune pid=2397111)[0m [311]	train-mlogloss:0.93153	validation-mlogloss:0.92717
[36m(train_xgb_ray_tune pid=2397111)[0m [312]	train-mlogloss:0.93108	validation-mlogloss:0.92673
[36m(train_xgb_ray_tune pid=2397112)[0m [291]	train-mlogloss:0.87656	validation-mlogloss:0.88260
[36m(train_xgb_ray_tune pid=2397112)[0m [292]	train-mlogloss:0.87591	validation-mlogloss:0.88187
[36m(train_xgb_ray_tune pid=2397105)[0m [384]	train-mlogloss:0.93733	validation-mlogloss:0.92928
[36m(train_xgb_ray_tune pid=2397105)[0m [385]	train-mlogloss:0.93701	validation-mlogloss:0.92900
[36m(train_xgb_ray_tune pid=2397105)[0m [386]	train-mlogloss:0.93669	validation-mlogloss:0.92869
[36m(train_xgb_ray_tune pid=2397115)[0m [340]	train-mlogloss:1.17163	validation-mlogloss:1.16763
[36m(train_xgb_ray_tune pid=2397115)[0m [341]	train-mlogloss:1.17143	validation-mlogloss:1.16743
[36m(train_xgb_ray_tune pid=2397116)[0m [287]	train-mlogloss:0.89243	validation-mlogloss:0.88688
[36m(train_xgb_ray_tune pid=2397116)[0m [288]	train-mlogloss:0.89206	validation-mlogloss:0.88642
[36m(train_xgb_ray_tune pid=2397097)[0m [326]	train-mlogloss:0.98318	validation-mlogloss:0.98347
[36m(train_xgb_ray_tune pid=2397097)[0m [327]	train-mlogloss:0.98300	validation-mlogloss:0.98328
[36m(train_xgb_ray_tune pid=2397097)[0m [328]	train-mlogloss:0.98290	validation-mlogloss:0.98318
[36m(train_xgb_ray_tune pid=2397110)[0m [287]	train-mlogloss:1.08032	validation-mlogloss:1.07541
[36m(train_xgb_ray_tune pid=2397110)[0m [288]	train-mlogloss:1.07984	validation-mlogloss:1.07494
[36m(train_xgb_ray_tune pid=2397110)[0m [289]	train-mlogloss:1.07946	validation-mlogloss:1.07454
[36m(train_xgb_ray_tune pid=2397108)[0m [350]	train-mlogloss:1.22642	validation-mlogloss:1.22018
[36m(train_xgb_ray_tune pid=2397108)[0m [351]	train-mlogloss:1.22624	validation-mlogloss:1.21999
[36m(train_xgb_ray_tune pid=2397091)[0m [315]	train-mlogloss:0.91263	validation-mlogloss:0.90431
[36m(train_xgb_ray_tune pid=2397091)[0m [316]	train-mlogloss:0.91248	validation-mlogloss:0.90422
[36m(train_xgb_ray_tune pid=2397091)[0m [317]	train-mlogloss:0.91225	validation-mlogloss:0.90398
[36m(train_xgb_ray_tune pid=2397104)[0m [239]	train-mlogloss:0.94982	validation-mlogloss:0.95749
[36m(train_xgb_ray_tune pid=2397104)[0m [240]	train-mlogloss:0.94902	validation-mlogloss:0.95668
[36m(train_xgb_ray_tune pid=2397106)[0m [336]	train-mlogloss:0.89237	validation-mlogloss:0.89574
[36m(train_xgb_ray_tune pid=2397114)[0m [290]	train-mlogloss:0.95885	validation-mlogloss:0.95499
[36m(train_xgb_ray_tune pid=2397117)[0m [272]	train-mlogloss:0.91500	validation-mlogloss:0.91407
[36m(train_xgb_ray_tune pid=2397113)[0m [277]	train-mlogloss:0.87246	validation-mlogloss:0.88134
[36m(train_xgb_ray_tune pid=2397103)[0m [320]	train-mlogloss:0.78225	validation-mlogloss:0.79018
[36m(train_xgb_ray_tune pid=2397103)[0m [321]	train-mlogloss:0.78213	validation-mlogloss:0.79014
[36m(train_xgb_ray_tune pid=2397107)[0m [381]	train-mlogloss:1.20326	validation-mlogloss:1.19955
[36m(train_xgb_ray_tune pid=2397111)[0m [313]	train-mlogloss:0.93065	validation-mlogloss:0.92631
[36m(train_xgb_ray_tune pid=2397112)[0m [293]	train-mlogloss:0.87530	validation-mlogloss:0.88130
[36m(train_xgb_ray_tune pid=2397105)[0m [387]	train-mlogloss:0.93655	validation-mlogloss:0.92853
[36m(train_xgb_ray_tune pid=2397115)[0m [342]	train-mlogloss:1.17124	validation-mlogloss:1.16723
[36m(train_xgb_ray_tune pid=2397115)[0m [343]	train-mlogloss:1.17105	validation-mlogloss:1.16702
[36m(train_xgb_ray_tune pid=2397116)[0m [289]	train-mlogloss:0.89175	validation-mlogloss:0.88610
[36m(train_xgb_ray_tune pid=2397116)[0m [290]	train-mlogloss:0.89141	validation-mlogloss:0.88583
[36m(train_xgb_ray_tune pid=2397097)[0m [329]	train-mlogloss:0.98271	validation-mlogloss:0.98302
[36m(train_xgb_ray_tune pid=2397110)[0m [290]	train-mlogloss:1.07900	validation-mlogloss:1.07407
[36m(train_xgb_ray_tune pid=2397108)[0m [352]	train-mlogloss:1.22607	validation-mlogloss:1.21982
[36m(train_xgb_ray_tune pid=2397091)[0m [318]	train-mlogloss:0.91209	validation-mlogloss:0.90391
[36m(train_xgb_ray_tune pid=2397104)[0m [241]	train-mlogloss:0.94820	validation-mlogloss:0.95588
[36m(train_xgb_ray_tune pid=2397106)[0m [337]	train-mlogloss:0.89219	validation-mlogloss:0.89555
[36m(train_xgb_ray_tune pid=2397114)[0m [291]	train-mlogloss:0.95827	validation-mlogloss:0.95443
[36m(train_xgb_ray_tune pid=2397117)[0m [273]	train-mlogloss:0.91424	validation-mlogloss:0.91336
[36m(train_xgb_ray_tune pid=2397113)[0m [278]	train-mlogloss:0.87169	validation-mlogloss:0.88052
[36m(train_xgb_ray_tune pid=2397103)[0m [322]	train-mlogloss:0.78185	validation-mlogloss:0.78979
[36m(train_xgb_ray_tune pid=2397107)[0m [382]	train-mlogloss:1.20307	validation-mlogloss:1.19935
[36m(train_xgb_ray_tune pid=2397111)[0m [314]	train-mlogloss:0.93024	validation-mlogloss:0.92595
[36m(train_xgb_ray_tune pid=2397105)[0m [388]	train-mlogloss:0.93625	validation-mlogloss:0.92822
[36m(train_xgb_ray_tune pid=2397115)[0m [344]	train-mlogloss:1.17086	validation-mlogloss:1.16683
[36m(train_xgb_ray_tune pid=2397116)[0m [291]	train-mlogloss:0.89111	validation-mlogloss:0.88547
[36m(train_xgb_ray_tune pid=2397097)[0m [330]	train-mlogloss:0.98257	validation-mlogloss:0.98289
[36m(train_xgb_ray_tune pid=2397110)[0m [291]	train-mlogloss:1.07858	validation-mlogloss:1.07363
[36m(train_xgb_ray_tune pid=2397108)[0m [353]	train-mlogloss:1.22590	validation-mlogloss:1.21964
[36m(train_xgb_ray_tune pid=2397108)[0m [354]	train-mlogloss:1.22575	validation-mlogloss:1.21948
[36m(train_xgb_ray_tune pid=2397091)[0m [319]	train-mlogloss:0.91177	validation-mlogloss:0.90363
[36m(train_xgb_ray_tune pid=2397104)[0m [242]	train-mlogloss:0.94740	validation-mlogloss:0.95509
[36m(train_xgb_ray_tune pid=2397106)[0m [338]	train-mlogloss:0.89188	validation-mlogloss:0.89523
[36m(train_xgb_ray_tune pid=2397114)[0m [292]	train-mlogloss:0.95771	validation-mlogloss:0.95384
[36m(train_xgb_ray_tune pid=2397117)[0m [274]	train-mlogloss:0.91368	validation-mlogloss:0.91283
[36m(train_xgb_ray_tune pid=2397113)[0m [279]	train-mlogloss:0.87096	validation-mlogloss:0.87991
[36m(train_xgb_ray_tune pid=2397103)[0m [323]	train-mlogloss:0.78166	validation-mlogloss:0.78968
[36m(train_xgb_ray_tune pid=2397107)[0m [383]	train-mlogloss:1.20289	validation-mlogloss:1.19916
[36m(train_xgb_ray_tune pid=2397111)[0m [315]	train-mlogloss:0.92964	validation-mlogloss:0.92543
[36m(train_xgb_ray_tune pid=2397111)[0m [316]	train-mlogloss:0.92918	validation-mlogloss:0.92495
[36m(train_xgb_ray_tune pid=2397112)[0m [294]	train-mlogloss:0.87466	validation-mlogloss:0.88065
[36m(train_xgb_ray_tune pid=2397105)[0m [389]	train-mlogloss:0.93593	validation-mlogloss:0.92791
[36m(train_xgb_ray_tune pid=2397105)[0m [390]	train-mlogloss:0.93574	validation-mlogloss:0.92772
[36m(train_xgb_ray_tune pid=2397115)[0m [345]	train-mlogloss:1.17062	validation-mlogloss:1.16658
[36m(train_xgb_ray_tune pid=2397115)[0m [346]	train-mlogloss:1.17045	validation-mlogloss:1.16640
[36m(train_xgb_ray_tune pid=2397116)[0m [292]	train-mlogloss:0.89075	validation-mlogloss:0.88508
[36m(train_xgb_ray_tune pid=2397097)[0m [331]	train-mlogloss:0.98248	validation-mlogloss:0.98280
[36m(train_xgb_ray_tune pid=2397110)[0m [292]	train-mlogloss:1.07816	validation-mlogloss:1.07321
[36m(train_xgb_ray_tune pid=2397108)[0m [355]	train-mlogloss:1.22559	validation-mlogloss:1.21931
[36m(train_xgb_ray_tune pid=2397091)[0m [320]	train-mlogloss:0.91162	validation-mlogloss:0.90354
[36m(train_xgb_ray_tune pid=2397104)[0m [243]	train-mlogloss:0.94661	validation-mlogloss:0.95439
[36m(train_xgb_ray_tune pid=2397106)[0m [339]	train-mlogloss:0.89162	validation-mlogloss:0.89496
[36m(train_xgb_ray_tune pid=2397117)[0m [275]	train-mlogloss:0.91310	validation-mlogloss:0.91227
[36m(train_xgb_ray_tune pid=2397113)[0m [280]	train-mlogloss:0.87029	validation-mlogloss:0.87932
[36m(train_xgb_ray_tune pid=2397103)[0m [324]	train-mlogloss:0.78154	validation-mlogloss:0.78956
[36m(train_xgb_ray_tune pid=2397107)[0m [384]	train-mlogloss:1.20272	validation-mlogloss:1.19898
[36m(train_xgb_ray_tune pid=2397111)[0m [317]	train-mlogloss:0.92870	validation-mlogloss:0.92447
[36m(train_xgb_ray_tune pid=2397112)[0m [295]	train-mlogloss:0.87405	validation-mlogloss:0.88011
[36m(train_xgb_ray_tune pid=2397105)[0m [391]	train-mlogloss:0.93548	validation-mlogloss:0.92745
[36m(train_xgb_ray_tune pid=2397115)[0m [347]	train-mlogloss:1.17017	validation-mlogloss:1.16612
[36m(train_xgb_ray_tune pid=2397116)[0m [293]	train-mlogloss:0.89045	validation-mlogloss:0.88480
[36m(train_xgb_ray_tune pid=2397097)[0m [332]	train-mlogloss:0.98235	validation-mlogloss:0.98268
[36m(train_xgb_ray_tune pid=2397110)[0m [293]	train-mlogloss:1.07772	validation-mlogloss:1.07278
[36m(train_xgb_ray_tune pid=2397108)[0m [356]	train-mlogloss:1.22543	validation-mlogloss:1.21914
[36m(train_xgb_ray_tune pid=2397091)[0m [321]	train-mlogloss:0.91138	validation-mlogloss:0.90326
[36m(train_xgb_ray_tune pid=2397106)[0m [340]	train-mlogloss:0.89121	validation-mlogloss:0.89454
[36m(train_xgb_ray_tune pid=2397114)[0m [293]	train-mlogloss:0.95711	validation-mlogloss:0.95326
[36m(train_xgb_ray_tune pid=2397117)[0m [276]	train-mlogloss:0.91259	validation-mlogloss:0.91177
[36m(train_xgb_ray_tune pid=2397103)[0m [325]	train-mlogloss:0.78125	validation-mlogloss:0.78926
[36m(train_xgb_ray_tune pid=2397107)[0m [385]	train-mlogloss:1.20254	validation-mlogloss:1.19879
[36m(train_xgb_ray_tune pid=2397111)[0m [318]	train-mlogloss:0.92822	validation-mlogloss:0.92403
[36m(train_xgb_ray_tune pid=2397112)[0m [296]	train-mlogloss:0.87334	validation-mlogloss:0.87937
[36m(train_xgb_ray_tune pid=2397105)[0m [392]	train-mlogloss:0.93523	validation-mlogloss:0.92718
[36m(train_xgb_ray_tune pid=2397115)[0m [348]	train-mlogloss:1.16999	validation-mlogloss:1.16593
[36m(train_xgb_ray_tune pid=2397116)[0m [294]	train-mlogloss:0.89021	validation-mlogloss:0.88456

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:38. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.72419 │
│ time_total_s                 7.72419 │
│ training_iteration                 1 │
│ validation_accuracy          0.44487 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397097)[0m [333]	train-mlogloss:0.98215	validation-mlogloss:0.98251
[36m(train_xgb_ray_tune pid=2397110)[0m [294]	train-mlogloss:1.07731	validation-mlogloss:1.07234
[36m(train_xgb_ray_tune pid=2397108)[0m [357]	train-mlogloss:1.22527	validation-mlogloss:1.21897
[36m(train_xgb_ray_tune pid=2397091)[0m [322]	train-mlogloss:0.91123	validation-mlogloss:0.90318

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:38. Total running time: 10s
[36m(train_xgb_ray_tune pid=2397104)[0m [244]	train-mlogloss:0.94585	validation-mlogloss:0.95365
[36m(train_xgb_ray_tune pid=2397106)[0m [341]	train-mlogloss:0.89099	validation-mlogloss:0.89437
[36m(train_xgb_ray_tune pid=2397114)[0m [294]	train-mlogloss:0.95656	validation-mlogloss:0.95271
[36m(train_xgb_ray_tune pid=2397117)[0m [277]	train-mlogloss:0.91196	validation-mlogloss:0.91116
[36m(train_xgb_ray_tune pid=2397113)[0m [281]	train-mlogloss:0.86956	validation-mlogloss:0.87851
[36m(train_xgb_ray_tune pid=2397103)[0m [326]	train-mlogloss:0.78114	validation-mlogloss:0.78911
[36m(train_xgb_ray_tune pid=2397107)[0m [386]	train-mlogloss:1.20234	validation-mlogloss:1.19859
[36m(train_xgb_ray_tune pid=2397105)[0m [393]	train-mlogloss:0.93499	validation-mlogloss:0.92691
[36m(train_xgb_ray_tune pid=2397115)[0m [349]	train-mlogloss:1.16971	validation-mlogloss:1.16565
[36m(train_xgb_ray_tune pid=2397116)[0m [295]	train-mlogloss:0.88992	validation-mlogloss:0.88427
[36m(train_xgb_ray_tune pid=2397097)[0m [334]	train-mlogloss:0.98201	validation-mlogloss:0.98239
[36m(train_xgb_ray_tune pid=2397110)[0m [295]	train-mlogloss:1.07681	validation-mlogloss:1.07186
[36m(train_xgb_ray_tune pid=2397110)[0m [296]	train-mlogloss:1.07640	validation-mlogloss:1.07141
[36m(train_xgb_ray_tune pid=2397108)[0m [358]	train-mlogloss:1.22508	validation-mlogloss:1.21877
[36m(train_xgb_ray_tune pid=2397091)[0m [323]	train-mlogloss:0.91098	validation-mlogloss:0.90291
[36m(train_xgb_ray_tune pid=2397104)[0m [245]	train-mlogloss:0.94504	validation-mlogloss:0.95284
[36m(train_xgb_ray_tune pid=2397106)[0m [342]	train-mlogloss:0.89072	validation-mlogloss:0.89408
[36m(train_xgb_ray_tune pid=2397117)[0m [278]	train-mlogloss:0.91123	validation-mlogloss:0.91050
[36m(train_xgb_ray_tune pid=2397113)[0m [282]	train-mlogloss:0.86879	validation-mlogloss:0.87784
[36m(train_xgb_ray_tune pid=2397103)[0m [327]	train-mlogloss:0.78093	validation-mlogloss:0.78887
[36m(train_xgb_ray_tune pid=2397103)[0m [328]	train-mlogloss:0.78067	validation-mlogloss:0.78864
[36m(train_xgb_ray_tune pid=2397107)[0m [387]	train-mlogloss:1.20215	validation-mlogloss:1.19839
[36m(train_xgb_ray_tune pid=2397107)[0m [388]	train-mlogloss:1.20195	validation-mlogloss:1.19819
[36m(train_xgb_ray_tune pid=2397111)[0m [319]	train-mlogloss:0.92771	validation-mlogloss:0.92353
[36m(train_xgb_ray_tune pid=2397111)[0m [320]	train-mlogloss:0.92718	validation-mlogloss:0.92299
[36m(train_xgb_ray_tune pid=2397112)[0m [297]	train-mlogloss:0.87276	validation-mlogloss:0.87881
[36m(train_xgb_ray_tune pid=2397105)[0m [394]	train-mlogloss:0.93471	validation-mlogloss:0.92661
[36m(train_xgb_ray_tune pid=2397115)[0m [350]	train-mlogloss:1.16952	validation-mlogloss:1.16545
[36m(train_xgb_ray_tune pid=2397116)[0m [296]	train-mlogloss:0.88958	validation-mlogloss:0.88392
[36m(train_xgb_ray_tune pid=2397116)[0m [297]	train-mlogloss:0.88911	validation-mlogloss:0.88340
[36m(train_xgb_ray_tune pid=2397097)[0m [335]	train-mlogloss:0.98179	validation-mlogloss:0.98221
[36m(train_xgb_ray_tune pid=2397097)[0m [336]	train-mlogloss:0.98171	validation-mlogloss:0.98211
[36m(train_xgb_ray_tune pid=2397110)[0m [297]	train-mlogloss:1.07599	validation-mlogloss:1.07100
[36m(train_xgb_ray_tune pid=2397108)[0m [359]	train-mlogloss:1.22492	validation-mlogloss:1.21860
[36m(train_xgb_ray_tune pid=2397108)[0m [360]	train-mlogloss:1.22477	validation-mlogloss:1.21844
[36m(train_xgb_ray_tune pid=2397091)[0m [324]	train-mlogloss:0.91083	validation-mlogloss:0.90275
[36m(train_xgb_ray_tune pid=2397091)[0m [325]	train-mlogloss:0.91068	validation-mlogloss:0.90260
[36m(train_xgb_ray_tune pid=2397104)[0m [246]	train-mlogloss:0.94421	validation-mlogloss:0.95198
[36m(train_xgb_ray_tune pid=2397106)[0m [343]	train-mlogloss:0.89037	validation-mlogloss:0.89373
[36m(train_xgb_ray_tune pid=2397114)[0m [295]	train-mlogloss:0.95603	validation-mlogloss:0.95214
[36m(train_xgb_ray_tune pid=2397117)[0m [279]	train-mlogloss:0.91072	validation-mlogloss:0.90997
[36m(train_xgb_ray_tune pid=2397113)[0m [283]	train-mlogloss:0.86811	validation-mlogloss:0.87718
[36m(train_xgb_ray_tune pid=2397103)[0m [329]	train-mlogloss:0.78034	validation-mlogloss:0.78835
[36m(train_xgb_ray_tune pid=2397107)[0m [389]	train-mlogloss:1.20177	validation-mlogloss:1.19799
[36m(train_xgb_ray_tune pid=2397111)[0m [321]	train-mlogloss:0.92680	validation-mlogloss:0.92259
[36m(train_xgb_ray_tune pid=2397112)[0m [298]	train-mlogloss:0.87212	validation-mlogloss:0.87817
[36m(train_xgb_ray_tune pid=2397105)[0m [395]	train-mlogloss:0.93452	validation-mlogloss:0.92639
[36m(train_xgb_ray_tune pid=2397115)[0m [351]	train-mlogloss:1.16932	validation-mlogloss:1.16525
[36m(train_xgb_ray_tune pid=2397116)[0m [298]	train-mlogloss:0.88883	validation-mlogloss:0.88311
[36m(train_xgb_ray_tune pid=2397097)[0m [337]	train-mlogloss:0.98149	validation-mlogloss:0.98194
[36m(train_xgb_ray_tune pid=2397110)[0m [298]	train-mlogloss:1.07547	validation-mlogloss:1.07046
[36m(train_xgb_ray_tune pid=2397108)[0m [361]	train-mlogloss:1.22463	validation-mlogloss:1.21829
[36m(train_xgb_ray_tune pid=2397091)[0m [326]	train-mlogloss:0.91028	validation-mlogloss:0.90211
[36m(train_xgb_ray_tune pid=2397104)[0m [247]	train-mlogloss:0.94339	validation-mlogloss:0.95111
[36m(train_xgb_ray_tune pid=2397106)[0m [344]	train-mlogloss:0.89003	validation-mlogloss:0.89336
[36m(train_xgb_ray_tune pid=2397114)[0m [296]	train-mlogloss:0.95551	validation-mlogloss:0.95161
[36m(train_xgb_ray_tune pid=2397117)[0m [280]	train-mlogloss:0.91022	validation-mlogloss:0.90952
[36m(train_xgb_ray_tune pid=2397113)[0m [284]	train-mlogloss:0.86741	validation-mlogloss:0.87646
[36m(train_xgb_ray_tune pid=2397103)[0m [330]	train-mlogloss:0.78007	validation-mlogloss:0.78812
[36m(train_xgb_ray_tune pid=2397107)[0m [390]	train-mlogloss:1.20160	validation-mlogloss:1.19781
[36m(train_xgb_ray_tune pid=2397111)[0m [322]	train-mlogloss:0.92643	validation-mlogloss:0.92221
[36m(train_xgb_ray_tune pid=2397112)[0m [299]	train-mlogloss:0.87158	validation-mlogloss:0.87767
[36m(train_xgb_ray_tune pid=2397105)[0m [396]	train-mlogloss:0.93427	validation-mlogloss:0.92615
[36m(train_xgb_ray_tune pid=2397105)[0m [397]	train-mlogloss:0.93396	validation-mlogloss:0.92585
[36m(train_xgb_ray_tune pid=2397115)[0m [352]	train-mlogloss:1.16913	validation-mlogloss:1.16505
[36m(train_xgb_ray_tune pid=2397115)[0m [353]	train-mlogloss:1.16894	validation-mlogloss:1.16485
[36m(train_xgb_ray_tune pid=2397116)[0m [299]	train-mlogloss:0.88853	validation-mlogloss:0.88278
[36m(train_xgb_ray_tune pid=2397097)[0m [338]	train-mlogloss:0.98133	validation-mlogloss:0.98177
[36m(train_xgb_ray_tune pid=2397110)[0m [299]	train-mlogloss:1.07507	validation-mlogloss:1.07004
[36m(train_xgb_ray_tune pid=2397108)[0m [362]	train-mlogloss:1.22447	validation-mlogloss:1.21812
[36m(train_xgb_ray_tune pid=2397091)[0m [327]	train-mlogloss:0.91012	validation-mlogloss:0.90194
[36m(train_xgb_ray_tune pid=2397104)[0m [248]	train-mlogloss:0.94267	validation-mlogloss:0.95047
[36m(train_xgb_ray_tune pid=2397106)[0m [345]	train-mlogloss:0.88977	validation-mlogloss:0.89316
[36m(train_xgb_ray_tune pid=2397114)[0m [297]	train-mlogloss:0.95496	validation-mlogloss:0.95102
[36m(train_xgb_ray_tune pid=2397117)[0m [281]	train-mlogloss:0.90964	validation-mlogloss:0.90895
[36m(train_xgb_ray_tune pid=2397113)[0m [285]	train-mlogloss:0.86672	validation-mlogloss:0.87577
[36m(train_xgb_ray_tune pid=2397103)[0m [331]	train-mlogloss:0.77997	validation-mlogloss:0.78804
[36m(train_xgb_ray_tune pid=2397107)[0m [391]	train-mlogloss:1.20142	validation-mlogloss:1.19763
[36m(train_xgb_ray_tune pid=2397107)[0m [392]	train-mlogloss:1.20124	validation-mlogloss:1.19744
[36m(train_xgb_ray_tune pid=2397111)[0m [323]	train-mlogloss:0.92600	validation-mlogloss:0.92181
[36m(train_xgb_ray_tune pid=2397111)[0m [324]	train-mlogloss:0.92564	validation-mlogloss:0.92137
[36m(train_xgb_ray_tune pid=2397112)[0m [300]	train-mlogloss:0.87096	validation-mlogloss:0.87712
[36m(train_xgb_ray_tune pid=2397105)[0m [398]	train-mlogloss:0.93371	validation-mlogloss:0.92555
[36m(train_xgb_ray_tune pid=2397115)[0m [354]	train-mlogloss:1.16876	validation-mlogloss:1.16467
[36m(train_xgb_ray_tune pid=2397115)[0m [355]	train-mlogloss:1.16858	validation-mlogloss:1.16448
[36m(train_xgb_ray_tune pid=2397116)[0m [300]	train-mlogloss:0.88807	validation-mlogloss:0.88229
[36m(train_xgb_ray_tune pid=2397116)[0m [301]	train-mlogloss:0.88780	validation-mlogloss:0.88197
[36m(train_xgb_ray_tune pid=2397097)[0m [339]	train-mlogloss:0.98124	validation-mlogloss:0.98168
[36m(train_xgb_ray_tune pid=2397110)[0m [300]	train-mlogloss:1.07467	validation-mlogloss:1.06964
[36m(train_xgb_ray_tune pid=2397108)[0m [363]	train-mlogloss:1.22433	validation-mlogloss:1.21798
[36m(train_xgb_ray_tune pid=2397108)[0m [364]	train-mlogloss:1.22418	validation-mlogloss:1.21782
[36m(train_xgb_ray_tune pid=2397091)[0m [328]	train-mlogloss:0.90989	validation-mlogloss:0.90166
[36m(train_xgb_ray_tune pid=2397091)[0m [329]	train-mlogloss:0.90966	validation-mlogloss:0.90142
[36m(train_xgb_ray_tune pid=2397104)[0m [249]	train-mlogloss:0.94187	validation-mlogloss:0.94976
[36m(train_xgb_ray_tune pid=2397104)[0m [250]	train-mlogloss:0.94115	validation-mlogloss:0.94911
[36m(train_xgb_ray_tune pid=2397106)[0m [346]	train-mlogloss:0.88942	validation-mlogloss:0.89284
[36m(train_xgb_ray_tune pid=2397114)[0m [298]	train-mlogloss:0.95443	validation-mlogloss:0.95048
[36m(train_xgb_ray_tune pid=2397117)[0m [282]	train-mlogloss:0.90901	validation-mlogloss:0.90832
[36m(train_xgb_ray_tune pid=2397117)[0m [283]	train-mlogloss:0.90848	validation-mlogloss:0.90782
[36m(train_xgb_ray_tune pid=2397113)[0m [286]	train-mlogloss:0.86598	validation-mlogloss:0.87503
[36m(train_xgb_ray_tune pid=2397113)[0m [287]	train-mlogloss:0.86530	validation-mlogloss:0.87435
[36m(train_xgb_ray_tune pid=2397103)[0m [332]	train-mlogloss:0.77985	validation-mlogloss:0.78795
[36m(train_xgb_ray_tune pid=2397103)[0m [333]	train-mlogloss:0.77955	validation-mlogloss:0.78765
[36m(train_xgb_ray_tune pid=2397107)[0m [393]	train-mlogloss:1.20107	validation-mlogloss:1.19726
[36m(train_xgb_ray_tune pid=2397107)[0m [394]	train-mlogloss:1.20088	validation-mlogloss:1.19706
[36m(train_xgb_ray_tune pid=2397111)[0m [325]	train-mlogloss:0.92519	validation-mlogloss:0.92096
[36m(train_xgb_ray_tune pid=2397111)[0m [326]	train-mlogloss:0.92472	validation-mlogloss:0.92049
[36m(train_xgb_ray_tune pid=2397112)[0m [301]	train-mlogloss:0.87023	validation-mlogloss:0.87637
[36m(train_xgb_ray_tune pid=2397112)[0m [302]	train-mlogloss:0.86961	validation-mlogloss:0.87578
[36m(train_xgb_ray_tune pid=2397105)[0m [399]	train-mlogloss:0.93339	validation-mlogloss:0.92526
[36m(train_xgb_ray_tune pid=2397105)[0m [400]	train-mlogloss:0.93325	validation-mlogloss:0.92512
[36m(train_xgb_ray_tune pid=2397115)[0m [356]	train-mlogloss:1.16840	validation-mlogloss:1.16429
[36m(train_xgb_ray_tune pid=2397115)[0m [357]	train-mlogloss:1.16822	validation-mlogloss:1.16409
[36m(train_xgb_ray_tune pid=2397116)[0m [302]	train-mlogloss:0.88751	validation-mlogloss:0.88170
[36m(train_xgb_ray_tune pid=2397116)[0m [303]	train-mlogloss:0.88723	validation-mlogloss:0.88143
[36m(train_xgb_ray_tune pid=2397116)[0m [304]	train-mlogloss:0.88690	validation-mlogloss:0.88119
[36m(train_xgb_ray_tune pid=2397097)[0m [340]	train-mlogloss:0.98112	validation-mlogloss:0.98157
[36m(train_xgb_ray_tune pid=2397097)[0m [341]	train-mlogloss:0.98096	validation-mlogloss:0.98140
[36m(train_xgb_ray_tune pid=2397110)[0m [301]	train-mlogloss:1.07417	validation-mlogloss:1.06911
[36m(train_xgb_ray_tune pid=2397110)[0m [302]	train-mlogloss:1.07371	validation-mlogloss:1.06860
[36m(train_xgb_ray_tune pid=2397108)[0m [365]	train-mlogloss:1.22402	validation-mlogloss:1.21765
[36m(train_xgb_ray_tune pid=2397108)[0m [366]	train-mlogloss:1.22386	validation-mlogloss:1.21749
[36m(train_xgb_ray_tune pid=2397091)[0m [330]	train-mlogloss:0.90952	validation-mlogloss:0.90126
[36m(train_xgb_ray_tune pid=2397104)[0m [251]	train-mlogloss:0.94035	validation-mlogloss:0.94831
[36m(train_xgb_ray_tune pid=2397106)[0m [347]	train-mlogloss:0.88910	validation-mlogloss:0.89252
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[36m(train_xgb_ray_tune pid=2397097)[0m [354]	train-mlogloss:0.97958	validation-mlogloss:0.98009
[36m(train_xgb_ray_tune pid=2397110)[0m [313]	train-mlogloss:1.06908	validation-mlogloss:1.06381
[36m(train_xgb_ray_tune pid=2397108)[0m [378]	train-mlogloss:1.22229	validation-mlogloss:1.21584
[36m(train_xgb_ray_tune pid=2397108)[0m [379]	train-mlogloss:1.22214	validation-mlogloss:1.21569
[36m(train_xgb_ray_tune pid=2397104)[0m [261]	train-mlogloss:0.93296	validation-mlogloss:0.94091
[36m(train_xgb_ray_tune pid=2397106)[0m [362]	train-mlogloss:0.88490	validation-mlogloss:0.88820
[36m(train_xgb_ray_tune pid=2397106)[0m [363]	train-mlogloss:0.88456	validation-mlogloss:0.88786
[36m(train_xgb_ray_tune pid=2397114)[0m [308]	train-mlogloss:0.94901	validation-mlogloss:0.94514
[36m(train_xgb_ray_tune pid=2397117)[0m [294]	train-mlogloss:0.90183	validation-mlogloss:0.90125
[36m(train_xgb_ray_tune pid=2397113)[0m [297]	train-mlogloss:0.85886	validation-mlogloss:0.86814
[36m(train_xgb_ray_tune pid=2397103)[0m [346]	train-mlogloss:0.77767	validation-mlogloss:0.78602
[36m(train_xgb_ray_tune pid=2397103)[0m [347]	train-mlogloss:0.77761	validation-mlogloss:0.78596
[36m(train_xgb_ray_tune pid=2397107)[0m [408]	train-mlogloss:1.19846	validation-mlogloss:1.19452
[36m(train_xgb_ray_tune pid=2397107)[0m [409]	train-mlogloss:1.19828	validation-mlogloss:1.19433
[36m(train_xgb_ray_tune pid=2397111)[0m [337]	train-mlogloss:0.92000	validation-mlogloss:0.91585
[36m(train_xgb_ray_tune pid=2397112)[0m [311]	train-mlogloss:0.86396	validation-mlogloss:0.87019
[36m(train_xgb_ray_tune pid=2397105)[0m [413]	train-mlogloss:0.93015	validation-mlogloss:0.92176
[36m(train_xgb_ray_tune pid=2397105)[0m [414]	train-mlogloss:0.93002	validation-mlogloss:0.92162
[36m(train_xgb_ray_tune pid=2397115)[0m [372]	train-mlogloss:1.16561	validation-mlogloss:1.16137
[36m(train_xgb_ray_tune pid=2397116)[0m [320]	train-mlogloss:0.88227	validation-mlogloss:0.87656
[36m(train_xgb_ray_tune pid=2397097)[0m [355]	train-mlogloss:0.97946	validation-mlogloss:0.97997
[36m(train_xgb_ray_tune pid=2397110)[0m [314]	train-mlogloss:1.06872	validation-mlogloss:1.06346
[36m(train_xgb_ray_tune pid=2397108)[0m [380]	train-mlogloss:1.22200	validation-mlogloss:1.21554
[36m(train_xgb_ray_tune pid=2397104)[0m [262]	train-mlogloss:0.93224	validation-mlogloss:0.94030
[36m(train_xgb_ray_tune pid=2397106)[0m [364]	train-mlogloss:0.88436	validation-mlogloss:0.88768
[36m(train_xgb_ray_tune pid=2397114)[0m [309]	train-mlogloss:0.94848	validation-mlogloss:0.94461
[36m(train_xgb_ray_tune pid=2397117)[0m [295]	train-mlogloss:0.90141	validation-mlogloss:0.90087
[36m(train_xgb_ray_tune pid=2397113)[0m [298]	train-mlogloss:0.85823	validation-mlogloss:0.86755
[36m(train_xgb_ray_tune pid=2397103)[0m [348]	train-mlogloss:0.77751	validation-mlogloss:0.78593
[36m(train_xgb_ray_tune pid=2397107)[0m [410]	train-mlogloss:1.19811	validation-mlogloss:1.19416
[36m(train_xgb_ray_tune pid=2397112)[0m [312]	train-mlogloss:0.86343	validation-mlogloss:0.86966
[36m(train_xgb_ray_tune pid=2397105)[0m [415]	train-mlogloss:0.92978	validation-mlogloss:0.92138
[36m(train_xgb_ray_tune pid=2397115)[0m [373]	train-mlogloss:1.16544	validation-mlogloss:1.16119
[36m(train_xgb_ray_tune pid=2397116)[0m [321]	train-mlogloss:0.88193	validation-mlogloss:0.87620
[36m(train_xgb_ray_tune pid=2397097)[0m [356]	train-mlogloss:0.97934	validation-mlogloss:0.97984
[36m(train_xgb_ray_tune pid=2397097)[0m [357]	train-mlogloss:0.97934	validation-mlogloss:0.97984

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:39. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.90572 │
│ time_total_s                 7.90572 │
│ training_iteration                 1 │
│ validation_accuracy          0.62079 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397110)[0m [315]	train-mlogloss:1.06829	validation-mlogloss:1.06304
[36m(train_xgb_ray_tune pid=2397108)[0m [381]	train-mlogloss:1.22186	validation-mlogloss:1.21539

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:39. Total running time: 11s
[36m(train_xgb_ray_tune pid=2397104)[0m [263]	train-mlogloss:0.93155	validation-mlogloss:0.93963
[36m(train_xgb_ray_tune pid=2397106)[0m [365]	train-mlogloss:0.88415	validation-mlogloss:0.88751
[36m(train_xgb_ray_tune pid=2397114)[0m [310]	train-mlogloss:0.94790	validation-mlogloss:0.94404
[36m(train_xgb_ray_tune pid=2397117)[0m [296]	train-mlogloss:0.90084	validation-mlogloss:0.90035
[36m(train_xgb_ray_tune pid=2397113)[0m [299]	train-mlogloss:0.85750	validation-mlogloss:0.86686
[36m(train_xgb_ray_tune pid=2397103)[0m [349]	train-mlogloss:0.77751	validation-mlogloss:0.78594
[36m(train_xgb_ray_tune pid=2397107)[0m [411]	train-mlogloss:1.19794	validation-mlogloss:1.19398
[36m(train_xgb_ray_tune pid=2397111)[0m [338]	train-mlogloss:0.91959	validation-mlogloss:0.91546
[36m(train_xgb_ray_tune pid=2397112)[0m [313]	train-mlogloss:0.86288	validation-mlogloss:0.86917
[36m(train_xgb_ray_tune pid=2397105)[0m [416]	train-mlogloss:0.92954	validation-mlogloss:0.92114
[36m(train_xgb_ray_tune pid=2397115)[0m [374]	train-mlogloss:1.16528	validation-mlogloss:1.16101
[36m(train_xgb_ray_tune pid=2397115)[0m [375]	train-mlogloss:1.16511	validation-mlogloss:1.16084
[36m(train_xgb_ray_tune pid=2397116)[0m [322]	train-mlogloss:0.88159	validation-mlogloss:0.87584
[36m(train_xgb_ray_tune pid=2397097)[0m [358]	train-mlogloss:0.97934	validation-mlogloss:0.97984
[36m(train_xgb_ray_tune pid=2397097)[0m [359]	train-mlogloss:0.97920	validation-mlogloss:0.97971
[36m(train_xgb_ray_tune pid=2397110)[0m [316]	train-mlogloss:1.06790	validation-mlogloss:1.06263
[36m(train_xgb_ray_tune pid=2397108)[0m [382]	train-mlogloss:1.22171	validation-mlogloss:1.21523
[36m(train_xgb_ray_tune pid=2397104)[0m [264]	train-mlogloss:0.93072	validation-mlogloss:0.93890
[36m(train_xgb_ray_tune pid=2397106)[0m [366]	train-mlogloss:0.88391	validation-mlogloss:0.88728
[36m(train_xgb_ray_tune pid=2397106)[0m [367]	train-mlogloss:0.88368	validation-mlogloss:0.88707
[36m(train_xgb_ray_tune pid=2397114)[0m [311]	train-mlogloss:0.94740	validation-mlogloss:0.94352
[36m(train_xgb_ray_tune pid=2397117)[0m [297]	train-mlogloss:0.90032	validation-mlogloss:0.89982
[36m(train_xgb_ray_tune pid=2397113)[0m [300]	train-mlogloss:0.85686	validation-mlogloss:0.86630
[36m(train_xgb_ray_tune pid=2397103)[0m [350]	train-mlogloss:0.77746	validation-mlogloss:0.78590
[36m(train_xgb_ray_tune pid=2397103)[0m [351]	train-mlogloss:0.77719	validation-mlogloss:0.78578
[36m(train_xgb_ray_tune pid=2397107)[0m [412]	train-mlogloss:1.19777	validation-mlogloss:1.19380
[36m(train_xgb_ray_tune pid=2397107)[0m [413]	train-mlogloss:1.19760	validation-mlogloss:1.19362
[36m(train_xgb_ray_tune pid=2397107)[0m [414]	train-mlogloss:1.19744	validation-mlogloss:1.19345
[36m(train_xgb_ray_tune pid=2397111)[0m [339]	train-mlogloss:0.91922	validation-mlogloss:0.91514
[36m(train_xgb_ray_tune pid=2397111)[0m [340]	train-mlogloss:0.91877	validation-mlogloss:0.91467
[36m(train_xgb_ray_tune pid=2397112)[0m [314]	train-mlogloss:0.86233	validation-mlogloss:0.86862
[36m(train_xgb_ray_tune pid=2397112)[0m [315]	train-mlogloss:0.86166	validation-mlogloss:0.86795
[36m(train_xgb_ray_tune pid=2397105)[0m [417]	train-mlogloss:0.92936	validation-mlogloss:0.92095
[36m(train_xgb_ray_tune pid=2397105)[0m [418]	train-mlogloss:0.92918	validation-mlogloss:0.92080
[36m(train_xgb_ray_tune pid=2397105)[0m [419]	train-mlogloss:0.92906	validation-mlogloss:0.92066
[36m(train_xgb_ray_tune pid=2397115)[0m [376]	train-mlogloss:1.16494	validation-mlogloss:1.16066
[36m(train_xgb_ray_tune pid=2397115)[0m [377]	train-mlogloss:1.16478	validation-mlogloss:1.16049
[36m(train_xgb_ray_tune pid=2397115)[0m [378]	train-mlogloss:1.16461	validation-mlogloss:1.16031
[36m(train_xgb_ray_tune pid=2397116)[0m [323]	train-mlogloss:0.88120	validation-mlogloss:0.87542
[36m(train_xgb_ray_tune pid=2397116)[0m [324]	train-mlogloss:0.88100	validation-mlogloss:0.87521
[36m(train_xgb_ray_tune pid=2397116)[0m [325]	train-mlogloss:0.88081	validation-mlogloss:0.87500
[36m(train_xgb_ray_tune pid=2397116)[0m [326]	train-mlogloss:0.88034	validation-mlogloss:0.87448
[36m(train_xgb_ray_tune pid=2397097)[0m [360]	train-mlogloss:0.97920	validation-mlogloss:0.97971
[36m(train_xgb_ray_tune pid=2397097)[0m [361]	train-mlogloss:0.97912	validation-mlogloss:0.97962
[36m(train_xgb_ray_tune pid=2397097)[0m [362]	train-mlogloss:0.97912	validation-mlogloss:0.97962
[36m(train_xgb_ray_tune pid=2397097)[0m [363]	train-mlogloss:0.97912	validation-mlogloss:0.97962
[36m(train_xgb_ray_tune pid=2397110)[0m [317]	train-mlogloss:1.06750	validation-mlogloss:1.06224
[36m(train_xgb_ray_tune pid=2397110)[0m [318]	train-mlogloss:1.06710	validation-mlogloss:1.06185
[36m(train_xgb_ray_tune pid=2397108)[0m [383]	train-mlogloss:1.22171	validation-mlogloss:1.21523
[36m(train_xgb_ray_tune pid=2397108)[0m [384]	train-mlogloss:1.22171	validation-mlogloss:1.21523
[36m(train_xgb_ray_tune pid=2397108)[0m [385]	train-mlogloss:1.22156	validation-mlogloss:1.21508
[36m(train_xgb_ray_tune pid=2397108)[0m [386]	train-mlogloss:1.22142	validation-mlogloss:1.21493
[36m(train_xgb_ray_tune pid=2397104)[0m [265]	train-mlogloss:0.92995	validation-mlogloss:0.93822
[36m(train_xgb_ray_tune pid=2397104)[0m [266]	train-mlogloss:0.92929	validation-mlogloss:0.93763
[36m(train_xgb_ray_tune pid=2397106)[0m [368]	train-mlogloss:0.88356	validation-mlogloss:0.88694
[36m(train_xgb_ray_tune pid=2397106)[0m [369]	train-mlogloss:0.88331	validation-mlogloss:0.88671
[36m(train_xgb_ray_tune pid=2397106)[0m [370]	train-mlogloss:0.88320	validation-mlogloss:0.88658
[36m(train_xgb_ray_tune pid=2397106)[0m [371]	train-mlogloss:0.88288	validation-mlogloss:0.88619
[36m(train_xgb_ray_tune pid=2397114)[0m [312]	train-mlogloss:0.94692	validation-mlogloss:0.94303
[36m(train_xgb_ray_tune pid=2397114)[0m [313]	train-mlogloss:0.94646	validation-mlogloss:0.94254
[36m(train_xgb_ray_tune pid=2397117)[0m [298]	train-mlogloss:0.89993	validation-mlogloss:0.89940
[36m(train_xgb_ray_tune pid=2397117)[0m [299]	train-mlogloss:0.89936	validation-mlogloss:0.89887
[36m(train_xgb_ray_tune pid=2397117)[0m [300]	train-mlogloss:0.89871	validation-mlogloss:0.89825
[36m(train_xgb_ray_tune pid=2397113)[0m [301]	train-mlogloss:0.85614	validation-mlogloss:0.86557
[36m(train_xgb_ray_tune pid=2397113)[0m [302]	train-mlogloss:0.85553	validation-mlogloss:0.86499
[36m(train_xgb_ray_tune pid=2397103)[0m [352]	train-mlogloss:0.77713	validation-mlogloss:0.78574
[36m(train_xgb_ray_tune pid=2397103)[0m [353]	train-mlogloss:0.77708	validation-mlogloss:0.78570
[36m(train_xgb_ray_tune pid=2397103)[0m [354]	train-mlogloss:0.77703	validation-mlogloss:0.78568
[36m(train_xgb_ray_tune pid=2397107)[0m [415]	train-mlogloss:1.19728	validation-mlogloss:1.19328
[36m(train_xgb_ray_tune pid=2397107)[0m [416]	train-mlogloss:1.19710	validation-mlogloss:1.19310
[36m(train_xgb_ray_tune pid=2397111)[0m [341]	train-mlogloss:0.91847	validation-mlogloss:0.91437
[36m(train_xgb_ray_tune pid=2397111)[0m [342]	train-mlogloss:0.91817	validation-mlogloss:0.91406
[36m(train_xgb_ray_tune pid=2397112)[0m [316]	train-mlogloss:0.86112	validation-mlogloss:0.86746
[36m(train_xgb_ray_tune pid=2397112)[0m [317]	train-mlogloss:0.86047	validation-mlogloss:0.86686
[36m(train_xgb_ray_tune pid=2397105)[0m [420]	train-mlogloss:0.92889	validation-mlogloss:0.92045
[36m(train_xgb_ray_tune pid=2397105)[0m [421]	train-mlogloss:0.92877	validation-mlogloss:0.92031
[36m(train_xgb_ray_tune pid=2397115)[0m [379]	train-mlogloss:1.16445	validation-mlogloss:1.16013
[36m(train_xgb_ray_tune pid=2397115)[0m [380]	train-mlogloss:1.16427	validation-mlogloss:1.15995
[36m(train_xgb_ray_tune pid=2397115)[0m [381]	train-mlogloss:1.16411	validation-mlogloss:1.15977
[36m(train_xgb_ray_tune pid=2397116)[0m [327]	train-mlogloss:0.88004	validation-mlogloss:0.87418
[36m(train_xgb_ray_tune pid=2397116)[0m [328]	train-mlogloss:0.87973	validation-mlogloss:0.87397
[36m(train_xgb_ray_tune pid=2397097)[0m [364]	train-mlogloss:0.97894	validation-mlogloss:0.97946
[36m(train_xgb_ray_tune pid=2397097)[0m [365]	train-mlogloss:0.97894	validation-mlogloss:0.97946
[36m(train_xgb_ray_tune pid=2397097)[0m [366]	train-mlogloss:0.97894	validation-mlogloss:0.97946
[36m(train_xgb_ray_tune pid=2397110)[0m [319]	train-mlogloss:1.06667	validation-mlogloss:1.06138
[36m(train_xgb_ray_tune pid=2397110)[0m [320]	train-mlogloss:1.06627	validation-mlogloss:1.06096
[36m(train_xgb_ray_tune pid=2397108)[0m [387]	train-mlogloss:1.22127	validation-mlogloss:1.21477
[36m(train_xgb_ray_tune pid=2397104)[0m [267]	train-mlogloss:0.92850	validation-mlogloss:0.93679
[36m(train_xgb_ray_tune pid=2397106)[0m [372]	train-mlogloss:0.88264	validation-mlogloss:0.88595
[36m(train_xgb_ray_tune pid=2397106)[0m [373]	train-mlogloss:0.88253	validation-mlogloss:0.88585
[36m(train_xgb_ray_tune pid=2397106)[0m [374]	train-mlogloss:0.88238	validation-mlogloss:0.88573
[36m(train_xgb_ray_tune pid=2397114)[0m [314]	train-mlogloss:0.94592	validation-mlogloss:0.94201
[36m(train_xgb_ray_tune pid=2397117)[0m [301]	train-mlogloss:0.89815	validation-mlogloss:0.89769
[36m(train_xgb_ray_tune pid=2397113)[0m [303]	train-mlogloss:0.85495	validation-mlogloss:0.86449
[36m(train_xgb_ray_tune pid=2397103)[0m [355]	train-mlogloss:0.77686	validation-mlogloss:0.78565
[36m(train_xgb_ray_tune pid=2397107)[0m [417]	train-mlogloss:1.19692	validation-mlogloss:1.19291
[36m(train_xgb_ray_tune pid=2397112)[0m [318]	train-mlogloss:0.85996	validation-mlogloss:0.86638
[36m(train_xgb_ray_tune pid=2397105)[0m [422]	train-mlogloss:0.92853	validation-mlogloss:0.92012
[36m(train_xgb_ray_tune pid=2397105)[0m [423]	train-mlogloss:0.92842	validation-mlogloss:0.91998
[36m(train_xgb_ray_tune pid=2397115)[0m [382]	train-mlogloss:1.16394	validation-mlogloss:1.15959
[36m(train_xgb_ray_tune pid=2397116)[0m [329]	train-mlogloss:0.87947	validation-mlogloss:0.87365
[36m(train_xgb_ray_tune pid=2397097)[0m [367]	train-mlogloss:0.97881	validation-mlogloss:0.97934
[36m(train_xgb_ray_tune pid=2397097)[0m [368]	train-mlogloss:0.97866	validation-mlogloss:0.97919
[36m(train_xgb_ray_tune pid=2397110)[0m [321]	train-mlogloss:1.06583	validation-mlogloss:1.06048
[36m(train_xgb_ray_tune pid=2397108)[0m [388]	train-mlogloss:1.22110	validation-mlogloss:1.21459
[36m(train_xgb_ray_tune pid=2397108)[0m [389]	train-mlogloss:1.22110	validation-mlogloss:1.21459
[36m(train_xgb_ray_tune pid=2397106)[0m [375]	train-mlogloss:0.88228	validation-mlogloss:0.88562
[36m(train_xgb_ray_tune pid=2397114)[0m [315]	train-mlogloss:0.94545	validation-mlogloss:0.94160
[36m(train_xgb_ray_tune pid=2397113)[0m [304]	train-mlogloss:0.85439	validation-mlogloss:0.86408
[36m(train_xgb_ray_tune pid=2397103)[0m [356]	train-mlogloss:0.77664	validation-mlogloss:0.78547
[36m(train_xgb_ray_tune pid=2397107)[0m [418]	train-mlogloss:1.19676	validation-mlogloss:1.19274
[36m(train_xgb_ray_tune pid=2397111)[0m [343]	train-mlogloss:0.91768	validation-mlogloss:0.91355
[36m(train_xgb_ray_tune pid=2397112)[0m [319]	train-mlogloss:0.85943	validation-mlogloss:0.86589
[36m(train_xgb_ray_tune pid=2397105)[0m [424]	train-mlogloss:0.92824	validation-mlogloss:0.91977
[36m(train_xgb_ray_tune pid=2397115)[0m [383]	train-mlogloss:1.16377	validation-mlogloss:1.15942
[36m(train_xgb_ray_tune pid=2397116)[0m [330]	train-mlogloss:0.87928	validation-mlogloss:0.87345
[36m(train_xgb_ray_tune pid=2397116)[0m [331]	train-mlogloss:0.87903	validation-mlogloss:0.87323
[36m(train_xgb_ray_tune pid=2397097)[0m [369]	train-mlogloss:0.97866	validation-mlogloss:0.97919
[36m(train_xgb_ray_tune pid=2397110)[0m [322]	train-mlogloss:1.06539	validation-mlogloss:1.06001
[36m(train_xgb_ray_tune pid=2397108)[0m [390]	train-mlogloss:1.22110	validation-mlogloss:1.21459
[36m(train_xgb_ray_tune pid=2397104)[0m [268]	train-mlogloss:0.92783	validation-mlogloss:0.93613
[36m(train_xgb_ray_tune pid=2397106)[0m [376]	train-mlogloss:0.88208	validation-mlogloss:0.88544
[36m(train_xgb_ray_tune pid=2397106)[0m [377]	train-mlogloss:0.88192	validation-mlogloss:0.88529
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[36m(train_xgb_ray_tune pid=2397117)[0m [312]	train-mlogloss:0.89252	validation-mlogloss:0.89209
[36m(train_xgb_ray_tune pid=2397103)[0m [371]	train-mlogloss:0.77508	validation-mlogloss:0.78391
[36m(train_xgb_ray_tune pid=2397107)[0m [434]	train-mlogloss:1.19403	validation-mlogloss:1.18990
[36m(train_xgb_ray_tune pid=2397111)[0m [357]	train-mlogloss:0.91244	validation-mlogloss:0.90832
[36m(train_xgb_ray_tune pid=2397105)[0m [437]	train-mlogloss:0.92641	validation-mlogloss:0.91795
[36m(train_xgb_ray_tune pid=2397115)[0m [398]	train-mlogloss:1.16141	validation-mlogloss:1.15696
[36m(train_xgb_ray_tune pid=2397116)[0m [346]	train-mlogloss:0.87537	validation-mlogloss:0.86935
[36m(train_xgb_ray_tune pid=2397110)[0m [336]	train-mlogloss:1.05994	validation-mlogloss:1.05439
[36m(train_xgb_ray_tune pid=2397108)[0m [406]	train-mlogloss:1.21935	validation-mlogloss:1.21276
[36m(train_xgb_ray_tune pid=2397104)[0m [277]	train-mlogloss:0.92140	validation-mlogloss:0.92986
[36m(train_xgb_ray_tune pid=2397106)[0m [392]	train-mlogloss:0.87927	validation-mlogloss:0.88275
[36m(train_xgb_ray_tune pid=2397114)[0m [325]	train-mlogloss:0.94017	validation-mlogloss:0.93647
[36m(train_xgb_ray_tune pid=2397113)[0m [314]	train-mlogloss:0.84824	validation-mlogloss:0.85825
[36m(train_xgb_ray_tune pid=2397103)[0m [372]	train-mlogloss:0.77508	validation-mlogloss:0.78391
[36m(train_xgb_ray_tune pid=2397107)[0m [435]	train-mlogloss:1.19389	validation-mlogloss:1.18974
[36m(train_xgb_ray_tune pid=2397107)[0m [436]	train-mlogloss:1.19372	validation-mlogloss:1.18958
[36m(train_xgb_ray_tune pid=2397111)[0m [358]	train-mlogloss:0.91208	validation-mlogloss:0.90796
[36m(train_xgb_ray_tune pid=2397105)[0m [438]	train-mlogloss:0.92629	validation-mlogloss:0.91781
[36m(train_xgb_ray_tune pid=2397115)[0m [399]	train-mlogloss:1.16126	validation-mlogloss:1.15680
[36m(train_xgb_ray_tune pid=2397116)[0m [347]	train-mlogloss:0.87519	validation-mlogloss:0.86914
[36m(train_xgb_ray_tune pid=2397108)[0m [407]	train-mlogloss:1.21921	validation-mlogloss:1.21262
[36m(train_xgb_ray_tune pid=2397106)[0m [393]	train-mlogloss:0.87912	validation-mlogloss:0.88262
[36m(train_xgb_ray_tune pid=2397117)[0m [313]	train-mlogloss:0.89201	validation-mlogloss:0.89157
[36m(train_xgb_ray_tune pid=2397113)[0m [315]	train-mlogloss:0.84765	validation-mlogloss:0.85767
[36m(train_xgb_ray_tune pid=2397107)[0m [437]	train-mlogloss:1.19357	validation-mlogloss:1.18941
[36m(train_xgb_ray_tune pid=2397105)[0m [439]	train-mlogloss:0.92612	validation-mlogloss:0.91765
[36m(train_xgb_ray_tune pid=2397115)[0m [400]	train-mlogloss:1.16111	validation-mlogloss:1.15664
[36m(train_xgb_ray_tune pid=2397116)[0m [348]	train-mlogloss:0.87496	validation-mlogloss:0.86886
[36m(train_xgb_ray_tune pid=2397110)[0m [337]	train-mlogloss:1.05958	validation-mlogloss:1.05405

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:39. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.38819 │
│ time_total_s                 8.38819 │
│ training_iteration                 1 │
│ validation_accuracy          0.66538 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397108)[0m [408]	train-mlogloss:1.21921	validation-mlogloss:1.21262
[36m(train_xgb_ray_tune pid=2397104)[0m [278]	train-mlogloss:0.92064	validation-mlogloss:0.92916
[36m(train_xgb_ray_tune pid=2397106)[0m [394]	train-mlogloss:0.87899	validation-mlogloss:0.88250
[36m(train_xgb_ray_tune pid=2397114)[0m [326]	train-mlogloss:0.93965	validation-mlogloss:0.93597
[36m(train_xgb_ray_tune pid=2397117)[0m [314]	train-mlogloss:0.89154	validation-mlogloss:0.89114
[36m(train_xgb_ray_tune pid=2397113)[0m [316]	train-mlogloss:0.84699	validation-mlogloss:0.85700
[36m(train_xgb_ray_tune pid=2397103)[0m [373]	train-mlogloss:0.77485	validation-mlogloss:0.78368
[36m(train_xgb_ray_tune pid=2397103)[0m [374]	train-mlogloss:0.77485	validation-mlogloss:0.78368
[36m(train_xgb_ray_tune pid=2397107)[0m [438]	train-mlogloss:1.19342	validation-mlogloss:1.18925
[36m(train_xgb_ray_tune pid=2397111)[0m [359]	train-mlogloss:0.91174	validation-mlogloss:0.90762
[36m(train_xgb_ray_tune pid=2397105)[0m [440]	train-mlogloss:0.92602	validation-mlogloss:0.91753
[36m(train_xgb_ray_tune pid=2397105)[0m [441]	train-mlogloss:0.92586	validation-mlogloss:0.91736
[36m(train_xgb_ray_tune pid=2397115)[0m [401]	train-mlogloss:1.16095	validation-mlogloss:1.15648
[36m(train_xgb_ray_tune pid=2397116)[0m [349]	train-mlogloss:0.87472	validation-mlogloss:0.86858

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:39. Total running time: 11s
[36m(train_xgb_ray_tune pid=2397110)[0m [338]	train-mlogloss:1.05925	validation-mlogloss:1.05375
[36m(train_xgb_ray_tune pid=2397108)[0m [409]	train-mlogloss:1.21907	validation-mlogloss:1.21247
[36m(train_xgb_ray_tune pid=2397104)[0m [279]	train-mlogloss:0.91999	validation-mlogloss:0.92857
[36m(train_xgb_ray_tune pid=2397106)[0m [395]	train-mlogloss:0.87889	validation-mlogloss:0.88240
[36m(train_xgb_ray_tune pid=2397114)[0m [327]	train-mlogloss:0.93910	validation-mlogloss:0.93541
[36m(train_xgb_ray_tune pid=2397103)[0m [375]	train-mlogloss:0.77481	validation-mlogloss:0.78360
[36m(train_xgb_ray_tune pid=2397107)[0m [439]	train-mlogloss:1.19327	validation-mlogloss:1.18910
[36m(train_xgb_ray_tune pid=2397111)[0m [360]	train-mlogloss:0.91133	validation-mlogloss:0.90723
[36m(train_xgb_ray_tune pid=2397105)[0m [442]	train-mlogloss:0.92568	validation-mlogloss:0.91720
[36m(train_xgb_ray_tune pid=2397115)[0m [402]	train-mlogloss:1.16079	validation-mlogloss:1.15630
[36m(train_xgb_ray_tune pid=2397116)[0m [350]	train-mlogloss:0.87461	validation-mlogloss:0.86846
[36m(train_xgb_ray_tune pid=2397110)[0m [339]	train-mlogloss:1.05888	validation-mlogloss:1.05337
[36m(train_xgb_ray_tune pid=2397108)[0m [410]	train-mlogloss:1.21907	validation-mlogloss:1.21247
[36m(train_xgb_ray_tune pid=2397104)[0m [280]	train-mlogloss:0.91928	validation-mlogloss:0.92789
[36m(train_xgb_ray_tune pid=2397106)[0m [396]	train-mlogloss:0.87875	validation-mlogloss:0.88222
[36m(train_xgb_ray_tune pid=2397117)[0m [315]	train-mlogloss:0.89117	validation-mlogloss:0.89071
[36m(train_xgb_ray_tune pid=2397113)[0m [317]	train-mlogloss:0.84635	validation-mlogloss:0.85635
[36m(train_xgb_ray_tune pid=2397103)[0m [376]	train-mlogloss:0.77468	validation-mlogloss:0.78348
[36m(train_xgb_ray_tune pid=2397107)[0m [440]	train-mlogloss:1.19311	validation-mlogloss:1.18893
[36m(train_xgb_ray_tune pid=2397111)[0m [361]	train-mlogloss:0.91090	validation-mlogloss:0.90681
[36m(train_xgb_ray_tune pid=2397111)[0m [362]	train-mlogloss:0.91054	validation-mlogloss:0.90647
[36m(train_xgb_ray_tune pid=2397105)[0m [443]	train-mlogloss:0.92558	validation-mlogloss:0.91710
[36m(train_xgb_ray_tune pid=2397105)[0m [444]	train-mlogloss:0.92541	validation-mlogloss:0.91699
[36m(train_xgb_ray_tune pid=2397115)[0m [403]	train-mlogloss:1.16065	validation-mlogloss:1.15615
[36m(train_xgb_ray_tune pid=2397116)[0m [351]	train-mlogloss:0.87437	validation-mlogloss:0.86823
[36m(train_xgb_ray_tune pid=2397110)[0m [340]	train-mlogloss:1.05851	validation-mlogloss:1.05302
[36m(train_xgb_ray_tune pid=2397108)[0m [411]	train-mlogloss:1.21907	validation-mlogloss:1.21247
[36m(train_xgb_ray_tune pid=2397104)[0m [281]	train-mlogloss:0.91850	validation-mlogloss:0.92715
[36m(train_xgb_ray_tune pid=2397106)[0m [397]	train-mlogloss:0.87865	validation-mlogloss:0.88212
[36m(train_xgb_ray_tune pid=2397114)[0m [328]	train-mlogloss:0.93855	validation-mlogloss:0.93489
[36m(train_xgb_ray_tune pid=2397117)[0m [316]	train-mlogloss:0.89074	validation-mlogloss:0.89038
[36m(train_xgb_ray_tune pid=2397113)[0m [318]	train-mlogloss:0.84582	validation-mlogloss:0.85591
[36m(train_xgb_ray_tune pid=2397113)[0m [319]	train-mlogloss:0.84528	validation-mlogloss:0.85543
[36m(train_xgb_ray_tune pid=2397103)[0m [377]	train-mlogloss:0.77452	validation-mlogloss:0.78327
[36m(train_xgb_ray_tune pid=2397107)[0m [441]	train-mlogloss:1.19295	validation-mlogloss:1.18876
[36m(train_xgb_ray_tune pid=2397111)[0m [363]	train-mlogloss:0.91016	validation-mlogloss:0.90612
[36m(train_xgb_ray_tune pid=2397105)[0m [445]	train-mlogloss:0.92530	validation-mlogloss:0.91686
[36m(train_xgb_ray_tune pid=2397115)[0m [404]	train-mlogloss:1.16049	validation-mlogloss:1.15599
[36m(train_xgb_ray_tune pid=2397116)[0m [352]	train-mlogloss:0.87411	validation-mlogloss:0.86792
[36m(train_xgb_ray_tune pid=2397110)[0m [341]	train-mlogloss:1.05817	validation-mlogloss:1.05263
[36m(train_xgb_ray_tune pid=2397108)[0m [412]	train-mlogloss:1.21907	validation-mlogloss:1.21247
[36m(train_xgb_ray_tune pid=2397104)[0m [282]	train-mlogloss:0.91776	validation-mlogloss:0.92639
[36m(train_xgb_ray_tune pid=2397106)[0m [398]	train-mlogloss:0.87852	validation-mlogloss:0.88201
[36m(train_xgb_ray_tune pid=2397114)[0m [329]	train-mlogloss:0.93803	validation-mlogloss:0.93436
[36m(train_xgb_ray_tune pid=2397117)[0m [317]	train-mlogloss:0.89032	validation-mlogloss:0.88997
[36m(train_xgb_ray_tune pid=2397113)[0m [320]	train-mlogloss:0.84466	validation-mlogloss:0.85478
[36m(train_xgb_ray_tune pid=2397103)[0m [378]	train-mlogloss:0.77439	validation-mlogloss:0.78319
[36m(train_xgb_ray_tune pid=2397107)[0m [442]	train-mlogloss:1.19279	validation-mlogloss:1.18860
[36m(train_xgb_ray_tune pid=2397111)[0m [364]	train-mlogloss:0.90976	validation-mlogloss:0.90571
[36m(train_xgb_ray_tune pid=2397105)[0m [446]	train-mlogloss:0.92519	validation-mlogloss:0.91675
[36m(train_xgb_ray_tune pid=2397115)[0m [405]	train-mlogloss:1.16034	validation-mlogloss:1.15582
[36m(train_xgb_ray_tune pid=2397116)[0m [353]	train-mlogloss:0.87394	validation-mlogloss:0.86781
[36m(train_xgb_ray_tune pid=2397110)[0m [342]	train-mlogloss:1.05781	validation-mlogloss:1.05228
[36m(train_xgb_ray_tune pid=2397110)[0m [343]	train-mlogloss:1.05745	validation-mlogloss:1.05192
[36m(train_xgb_ray_tune pid=2397108)[0m [413]	train-mlogloss:1.21894	validation-mlogloss:1.21233
[36m(train_xgb_ray_tune pid=2397108)[0m [414]	train-mlogloss:1.21880	validation-mlogloss:1.21218
[36m(train_xgb_ray_tune pid=2397104)[0m [283]	train-mlogloss:0.91701	validation-mlogloss:0.92560
[36m(train_xgb_ray_tune pid=2397106)[0m [399]	train-mlogloss:0.87828	validation-mlogloss:0.88174
[36m(train_xgb_ray_tune pid=2397106)[0m [400]	train-mlogloss:0.87814	validation-mlogloss:0.88159

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:39. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.35527 │
│ time_total_s                 8.35527 │
│ training_iteration                 1 │
│ validation_accuracy          0.63027 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397114)[0m [330]	train-mlogloss:0.93755	validation-mlogloss:0.93390
[36m(train_xgb_ray_tune pid=2397114)[0m [331]	train-mlogloss:0.93706	validation-mlogloss:0.93340
[36m(train_xgb_ray_tune pid=2397117)[0m [318]	train-mlogloss:0.88991	validation-mlogloss:0.88962
[36m(train_xgb_ray_tune pid=2397113)[0m [321]	train-mlogloss:0.84415	validation-mlogloss:0.85431
[36m(train_xgb_ray_tune pid=2397103)[0m [379]	train-mlogloss:0.77435	validation-mlogloss:0.78315
[36m(train_xgb_ray_tune pid=2397103)[0m [380]	train-mlogloss:0.77434	validation-mlogloss:0.78316
[36m(train_xgb_ray_tune pid=2397107)[0m [443]	train-mlogloss:1.19264	validation-mlogloss:1.18843
[36m(train_xgb_ray_tune pid=2397107)[0m [444]	train-mlogloss:1.19248	validation-mlogloss:1.18827
[36m(train_xgb_ray_tune pid=2397111)[0m [365]	train-mlogloss:0.90938	validation-mlogloss:0.90533
[36m(train_xgb_ray_tune pid=2397111)[0m [366]	train-mlogloss:0.90901	validation-mlogloss:0.90496
[36m(train_xgb_ray_tune pid=2397105)[0m [447]	train-mlogloss:0.92508	validation-mlogloss:0.91664
[36m(train_xgb_ray_tune pid=2397105)[0m [448]	train-mlogloss:0.92497	validation-mlogloss:0.91651
[36m(train_xgb_ray_tune pid=2397115)[0m [406]	train-mlogloss:1.16019	validation-mlogloss:1.15567
[36m(train_xgb_ray_tune pid=2397115)[0m [407]	train-mlogloss:1.16004	validation-mlogloss:1.15551
[36m(train_xgb_ray_tune pid=2397115)[0m [408]	train-mlogloss:1.15990	validation-mlogloss:1.15535

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:39. Total running time: 11s
[36m(train_xgb_ray_tune pid=2397116)[0m [354]	train-mlogloss:0.87367	validation-mlogloss:0.86751
[36m(train_xgb_ray_tune pid=2397116)[0m [355]	train-mlogloss:0.87345	validation-mlogloss:0.86729
[36m(train_xgb_ray_tune pid=2397110)[0m [344]	train-mlogloss:1.05712	validation-mlogloss:1.05157
[36m(train_xgb_ray_tune pid=2397108)[0m [415]	train-mlogloss:1.21880	validation-mlogloss:1.21218
[36m(train_xgb_ray_tune pid=2397104)[0m [284]	train-mlogloss:0.91633	validation-mlogloss:0.92500
[36m(train_xgb_ray_tune pid=2397106)[0m [401]	train-mlogloss:0.87796	validation-mlogloss:0.88141
[36m(train_xgb_ray_tune pid=2397114)[0m [332]	train-mlogloss:0.93657	validation-mlogloss:0.93293
[36m(train_xgb_ray_tune pid=2397117)[0m [319]	train-mlogloss:0.88925	validation-mlogloss:0.88893
[36m(train_xgb_ray_tune pid=2397117)[0m [320]	train-mlogloss:0.88873	validation-mlogloss:0.88840
[36m(train_xgb_ray_tune pid=2397113)[0m [322]	train-mlogloss:0.84355	validation-mlogloss:0.85369
[36m(train_xgb_ray_tune pid=2397113)[0m [323]	train-mlogloss:0.84297	validation-mlogloss:0.85328
[36m(train_xgb_ray_tune pid=2397103)[0m [381]	train-mlogloss:0.77417	validation-mlogloss:0.78308
[36m(train_xgb_ray_tune pid=2397103)[0m [382]	train-mlogloss:0.77412	validation-mlogloss:0.78304
[36m(train_xgb_ray_tune pid=2397107)[0m [445]	train-mlogloss:1.19233	validation-mlogloss:1.18811
[36m(train_xgb_ray_tune pid=2397107)[0m [446]	train-mlogloss:1.19216	validation-mlogloss:1.18794
[36m(train_xgb_ray_tune pid=2397111)[0m [367]	train-mlogloss:0.90868	validation-mlogloss:0.90463
[36m(train_xgb_ray_tune pid=2397111)[0m [368]	train-mlogloss:0.90831	validation-mlogloss:0.90427
[36m(train_xgb_ray_tune pid=2397105)[0m [449]	train-mlogloss:0.92474	validation-mlogloss:0.91626
[36m(train_xgb_ray_tune pid=2397105)[0m [450]	train-mlogloss:0.92458	validation-mlogloss:0.91607
[36m(train_xgb_ray_tune pid=2397115)[0m [409]	train-mlogloss:1.15975	validation-mlogloss:1.15521
[36m(train_xgb_ray_tune pid=2397115)[0m [410]	train-mlogloss:1.15961	validation-mlogloss:1.15505
[36m(train_xgb_ray_tune pid=2397115)[0m [411]	train-mlogloss:1.15945	validation-mlogloss:1.15489
[36m(train_xgb_ray_tune pid=2397116)[0m [356]	train-mlogloss:0.87328	validation-mlogloss:0.86710
[36m(train_xgb_ray_tune pid=2397116)[0m [357]	train-mlogloss:0.87305	validation-mlogloss:0.86687
[36m(train_xgb_ray_tune pid=2397116)[0m [358]	train-mlogloss:0.87276	validation-mlogloss:0.86650
[36m(train_xgb_ray_tune pid=2397110)[0m [345]	train-mlogloss:1.05674	validation-mlogloss:1.05115
[36m(train_xgb_ray_tune pid=2397110)[0m [346]	train-mlogloss:1.05632	validation-mlogloss:1.05071
[36m(train_xgb_ray_tune pid=2397110)[0m [347]	train-mlogloss:1.05597	validation-mlogloss:1.05038
[36m(train_xgb_ray_tune pid=2397108)[0m [416]	train-mlogloss:1.21880	validation-mlogloss:1.21218
[36m(train_xgb_ray_tune pid=2397108)[0m [417]	train-mlogloss:1.21880	validation-mlogloss:1.21218
[36m(train_xgb_ray_tune pid=2397108)[0m [418]	train-mlogloss:1.21865	validation-mlogloss:1.21202
[36m(train_xgb_ray_tune pid=2397104)[0m [285]	train-mlogloss:0.91556	validation-mlogloss:0.92418
[36m(train_xgb_ray_tune pid=2397106)[0m [402]	train-mlogloss:0.87774	validation-mlogloss:0.88121
[36m(train_xgb_ray_tune pid=2397106)[0m [403]	train-mlogloss:0.87760	validation-mlogloss:0.88103
[36m(train_xgb_ray_tune pid=2397114)[0m [333]	train-mlogloss:0.93612	validation-mlogloss:0.93252
[36m(train_xgb_ray_tune pid=2397117)[0m [321]	train-mlogloss:0.88826	validation-mlogloss:0.88800
[36m(train_xgb_ray_tune pid=2397113)[0m [324]	train-mlogloss:0.84243	validation-mlogloss:0.85278
[36m(train_xgb_ray_tune pid=2397103)[0m [383]	train-mlogloss:0.77396	validation-mlogloss:0.78292
[36m(train_xgb_ray_tune pid=2397107)[0m [447]	train-mlogloss:1.19201	validation-mlogloss:1.18779
[36m(train_xgb_ray_tune pid=2397105)[0m [451]	train-mlogloss:0.92447	validation-mlogloss:0.91594
[36m(train_xgb_ray_tune pid=2397115)[0m [412]	train-mlogloss:1.15930	validation-mlogloss:1.15474
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[36m(train_xgb_ray_tune pid=2397108)[0m [419]	train-mlogloss:1.21851	validation-mlogloss:1.21188
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[36m(train_xgb_ray_tune pid=2397113)[0m [360]	train-mlogloss:0.82279	validation-mlogloss:0.83478
[36m(train_xgb_ray_tune pid=2397103)[0m [425]	train-mlogloss:0.77135	validation-mlogloss:0.78042
[36m(train_xgb_ray_tune pid=2397107)[0m [489]	train-mlogloss:1.18594	validation-mlogloss:1.18141
[36m(train_xgb_ray_tune pid=2397111)[0m [401]	train-mlogloss:0.89736	validation-mlogloss:0.89352
[36m(train_xgb_ray_tune pid=2397105)[0m [491]	train-mlogloss:0.91864	validation-mlogloss:0.91002
[36m(train_xgb_ray_tune pid=2397116)[0m [398]	train-mlogloss:0.86522	validation-mlogloss:0.85880
[36m(train_xgb_ray_tune pid=2397110)[0m [387]	train-mlogloss:1.04212	validation-mlogloss:1.03581
[36m(train_xgb_ray_tune pid=2397108)[0m [484]	train-mlogloss:1.21656	validation-mlogloss:1.20984
[36m(train_xgb_ray_tune pid=2397104)[0m [317]	train-mlogloss:0.89564	validation-mlogloss:0.90506
[36m(train_xgb_ray_tune pid=2397114)[0m [369]	train-mlogloss:0.91957	validation-mlogloss:0.91601
[36m(train_xgb_ray_tune pid=2397117)[0m [353]	train-mlogloss:0.87457	validation-mlogloss:0.87460
[36m(train_xgb_ray_tune pid=2397103)[0m [426]	train-mlogloss:0.77135	validation-mlogloss:0.78042
[36m(train_xgb_ray_tune pid=2397105)[0m [492]	train-mlogloss:0.91855	validation-mlogloss:0.90992
[36m(train_xgb_ray_tune pid=2397115)[0m [467]	train-mlogloss:1.15183	validation-mlogloss:1.14691
[36m(train_xgb_ray_tune pid=2397116)[0m [399]	train-mlogloss:0.86512	validation-mlogloss:0.85869
[36m(train_xgb_ray_tune pid=2397110)[0m [388]	train-mlogloss:1.04178	validation-mlogloss:1.03545

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:39. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.95048 │
│ time_total_s                 8.95048 │
│ training_iteration                 1 │
│ validation_accuracy          0.65028 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397108)[0m [485]	train-mlogloss:1.21656	validation-mlogloss:1.20984
[36m(train_xgb_ray_tune pid=2397104)[0m [318]	train-mlogloss:0.89502	validation-mlogloss:0.90446
[36m(train_xgb_ray_tune pid=2397103)[0m [427]	train-mlogloss:0.77135	validation-mlogloss:0.78041
[36m(train_xgb_ray_tune pid=2397107)[0m [490]	train-mlogloss:1.18579	validation-mlogloss:1.18127
[36m(train_xgb_ray_tune pid=2397111)[0m [402]	train-mlogloss:0.89698	validation-mlogloss:0.89322
[36m(train_xgb_ray_tune pid=2397116)[0m [400]	train-mlogloss:0.86504	validation-mlogloss:0.85859
[36m(train_xgb_ray_tune pid=2397108)[0m [486]	train-mlogloss:1.21656	validation-mlogloss:1.20984
[36m(train_xgb_ray_tune pid=2397117)[0m [354]	train-mlogloss:0.87420	validation-mlogloss:0.87429
[36m(train_xgb_ray_tune pid=2397113)[0m [361]	train-mlogloss:0.82225	validation-mlogloss:0.83430

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:39. Total running time: 11s
[36m(train_xgb_ray_tune pid=2397103)[0m [428]	train-mlogloss:0.77135	validation-mlogloss:0.78041
[36m(train_xgb_ray_tune pid=2397107)[0m [491]	train-mlogloss:1.18566	validation-mlogloss:1.18112
[36m(train_xgb_ray_tune pid=2397111)[0m [403]	train-mlogloss:0.89666	validation-mlogloss:0.89294
[36m(train_xgb_ray_tune pid=2397105)[0m [493]	train-mlogloss:0.91846	validation-mlogloss:0.90982
[36m(train_xgb_ray_tune pid=2397115)[0m [468]	train-mlogloss:1.15171	validation-mlogloss:1.14679
[36m(train_xgb_ray_tune pid=2397116)[0m [401]	train-mlogloss:0.86489	validation-mlogloss:0.85842
[36m(train_xgb_ray_tune pid=2397110)[0m [389]	train-mlogloss:1.04151	validation-mlogloss:1.03518
[36m(train_xgb_ray_tune pid=2397108)[0m [487]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [319]	train-mlogloss:0.89439	validation-mlogloss:0.90377
[36m(train_xgb_ray_tune pid=2397114)[0m [370]	train-mlogloss:0.91906	validation-mlogloss:0.91549
[36m(train_xgb_ray_tune pid=2397117)[0m [355]	train-mlogloss:0.87388	validation-mlogloss:0.87395
[36m(train_xgb_ray_tune pid=2397103)[0m [429]	train-mlogloss:0.77135	validation-mlogloss:0.78041
[36m(train_xgb_ray_tune pid=2397107)[0m [492]	train-mlogloss:1.18552	validation-mlogloss:1.18098
[36m(train_xgb_ray_tune pid=2397111)[0m [404]	train-mlogloss:0.89642	validation-mlogloss:0.89275
[36m(train_xgb_ray_tune pid=2397105)[0m [494]	train-mlogloss:0.91830	validation-mlogloss:0.90963
[36m(train_xgb_ray_tune pid=2397115)[0m [469]	train-mlogloss:1.15158	validation-mlogloss:1.14666
[36m(train_xgb_ray_tune pid=2397116)[0m [402]	train-mlogloss:0.86468	validation-mlogloss:0.85821
[36m(train_xgb_ray_tune pid=2397116)[0m [403]	train-mlogloss:0.86459	validation-mlogloss:0.85813
[36m(train_xgb_ray_tune pid=2397110)[0m [390]	train-mlogloss:1.04122	validation-mlogloss:1.03488
[36m(train_xgb_ray_tune pid=2397110)[0m [391]	train-mlogloss:1.04087	validation-mlogloss:1.03449
[36m(train_xgb_ray_tune pid=2397108)[0m [488]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397108)[0m [489]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [320]	train-mlogloss:0.89377	validation-mlogloss:0.90316
[36m(train_xgb_ray_tune pid=2397114)[0m [371]	train-mlogloss:0.91854	validation-mlogloss:0.91498
[36m(train_xgb_ray_tune pid=2397117)[0m [356]	train-mlogloss:0.87354	validation-mlogloss:0.87361
[36m(train_xgb_ray_tune pid=2397113)[0m [362]	train-mlogloss:0.82185	validation-mlogloss:0.83397
[36m(train_xgb_ray_tune pid=2397103)[0m [430]	train-mlogloss:0.77120	validation-mlogloss:0.78021
[36m(train_xgb_ray_tune pid=2397107)[0m [493]	train-mlogloss:1.18538	validation-mlogloss:1.18083
[36m(train_xgb_ray_tune pid=2397105)[0m [495]	train-mlogloss:0.91820	validation-mlogloss:0.90953
[36m(train_xgb_ray_tune pid=2397115)[0m [470]	train-mlogloss:1.15146	validation-mlogloss:1.14653
[36m(train_xgb_ray_tune pid=2397116)[0m [404]	train-mlogloss:0.86450	validation-mlogloss:0.85809
[36m(train_xgb_ray_tune pid=2397108)[0m [490]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [321]	train-mlogloss:0.89315	validation-mlogloss:0.90256
[36m(train_xgb_ray_tune pid=2397111)[0m [405]	train-mlogloss:0.89608	validation-mlogloss:0.89237
[36m(train_xgb_ray_tune pid=2397105)[0m [496]	train-mlogloss:0.91799	validation-mlogloss:0.90934
[36m(train_xgb_ray_tune pid=2397115)[0m [471]	train-mlogloss:1.15134	validation-mlogloss:1.14641
[36m(train_xgb_ray_tune pid=2397110)[0m [392]	train-mlogloss:1.04052	validation-mlogloss:1.03412
[36m(train_xgb_ray_tune pid=2397108)[0m [491]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [322]	train-mlogloss:0.89267	validation-mlogloss:0.90208
[36m(train_xgb_ray_tune pid=2397114)[0m [372]	train-mlogloss:0.91806	validation-mlogloss:0.91453
[36m(train_xgb_ray_tune pid=2397117)[0m [357]	train-mlogloss:0.87316	validation-mlogloss:0.87323
[36m(train_xgb_ray_tune pid=2397113)[0m [363]	train-mlogloss:0.82129	validation-mlogloss:0.83346
[36m(train_xgb_ray_tune pid=2397103)[0m [431]	train-mlogloss:0.77120	validation-mlogloss:0.78021
[36m(train_xgb_ray_tune pid=2397103)[0m [432]	train-mlogloss:0.77110	validation-mlogloss:0.78021
[36m(train_xgb_ray_tune pid=2397107)[0m [494]	train-mlogloss:1.18525	validation-mlogloss:1.18069
[36m(train_xgb_ray_tune pid=2397107)[0m [495]	train-mlogloss:1.18511	validation-mlogloss:1.18055
[36m(train_xgb_ray_tune pid=2397111)[0m [406]	train-mlogloss:0.89576	validation-mlogloss:0.89208
[36m(train_xgb_ray_tune pid=2397105)[0m [497]	train-mlogloss:0.91790	validation-mlogloss:0.90928
[36m(train_xgb_ray_tune pid=2397115)[0m [472]	train-mlogloss:1.15122	validation-mlogloss:1.14628
[36m(train_xgb_ray_tune pid=2397115)[0m [473]	train-mlogloss:1.15110	validation-mlogloss:1.14615
[36m(train_xgb_ray_tune pid=2397116)[0m [405]	train-mlogloss:0.86441	validation-mlogloss:0.85799
[36m(train_xgb_ray_tune pid=2397116)[0m [406]	train-mlogloss:0.86432	validation-mlogloss:0.85791
[36m(train_xgb_ray_tune pid=2397116)[0m [407]	train-mlogloss:0.86410	validation-mlogloss:0.85772
[36m(train_xgb_ray_tune pid=2397110)[0m [393]	train-mlogloss:1.04019	validation-mlogloss:1.03377
[36m(train_xgb_ray_tune pid=2397108)[0m [492]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [323]	train-mlogloss:0.89210	validation-mlogloss:0.90153
[36m(train_xgb_ray_tune pid=2397117)[0m [358]	train-mlogloss:0.87284	validation-mlogloss:0.87294
[36m(train_xgb_ray_tune pid=2397117)[0m [359]	train-mlogloss:0.87251	validation-mlogloss:0.87265
[36m(train_xgb_ray_tune pid=2397113)[0m [364]	train-mlogloss:0.82078	validation-mlogloss:0.83304
[36m(train_xgb_ray_tune pid=2397103)[0m [433]	train-mlogloss:0.77110	validation-mlogloss:0.78021
[36m(train_xgb_ray_tune pid=2397107)[0m [496]	train-mlogloss:1.18498	validation-mlogloss:1.18041
[36m(train_xgb_ray_tune pid=2397111)[0m [407]	train-mlogloss:0.89535	validation-mlogloss:0.89168
[36m(train_xgb_ray_tune pid=2397105)[0m [498]	train-mlogloss:0.91781	validation-mlogloss:0.90919
[36m(train_xgb_ray_tune pid=2397115)[0m [474]	train-mlogloss:1.15099	validation-mlogloss:1.14603
[36m(train_xgb_ray_tune pid=2397110)[0m [394]	train-mlogloss:1.03991	validation-mlogloss:1.03347
[36m(train_xgb_ray_tune pid=2397108)[0m [493]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397114)[0m [373]	train-mlogloss:0.91762	validation-mlogloss:0.91410
[36m(train_xgb_ray_tune pid=2397117)[0m [360]	train-mlogloss:0.87215	validation-mlogloss:0.87231
[36m(train_xgb_ray_tune pid=2397113)[0m [365]	train-mlogloss:0.82033	validation-mlogloss:0.83270
[36m(train_xgb_ray_tune pid=2397103)[0m [434]	train-mlogloss:0.77110	validation-mlogloss:0.78022
[36m(train_xgb_ray_tune pid=2397107)[0m [497]	train-mlogloss:1.18484	validation-mlogloss:1.18027
[36m(train_xgb_ray_tune pid=2397105)[0m [499]	train-mlogloss:0.91754	validation-mlogloss:0.90891
[36m(train_xgb_ray_tune pid=2397115)[0m [475]	train-mlogloss:1.15087	validation-mlogloss:1.14591
[36m(train_xgb_ray_tune pid=2397116)[0m [408]	train-mlogloss:0.86387	validation-mlogloss:0.85749
[36m(train_xgb_ray_tune pid=2397110)[0m [395]	train-mlogloss:1.03958	validation-mlogloss:1.03317
[36m(train_xgb_ray_tune pid=2397108)[0m [494]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [324]	train-mlogloss:0.89161	validation-mlogloss:0.90104
[36m(train_xgb_ray_tune pid=2397103)[0m [435]	train-mlogloss:0.77110	validation-mlogloss:0.78022
[36m(train_xgb_ray_tune pid=2397111)[0m [408]	train-mlogloss:0.89503	validation-mlogloss:0.89137
[36m(train_xgb_ray_tune pid=2397105)[0m [500]	train-mlogloss:0.91745	validation-mlogloss:0.90883
[36m(train_xgb_ray_tune pid=2397115)[0m [476]	train-mlogloss:1.15076	validation-mlogloss:1.14579
[36m(train_xgb_ray_tune pid=2397116)[0m [409]	train-mlogloss:0.86373	validation-mlogloss:0.85733
[36m(train_xgb_ray_tune pid=2397110)[0m [396]	train-mlogloss:1.03926	validation-mlogloss:1.03283
[36m(train_xgb_ray_tune pid=2397108)[0m [495]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397114)[0m [374]	train-mlogloss:0.91720	validation-mlogloss:0.91369
[36m(train_xgb_ray_tune pid=2397117)[0m [361]	train-mlogloss:0.87171	validation-mlogloss:0.87187
[36m(train_xgb_ray_tune pid=2397113)[0m [366]	train-mlogloss:0.81987	validation-mlogloss:0.83231
[36m(train_xgb_ray_tune pid=2397103)[0m [436]	train-mlogloss:0.77110	validation-mlogloss:0.78022
[36m(train_xgb_ray_tune pid=2397107)[0m [498]	train-mlogloss:1.18471	validation-mlogloss:1.18012
[36m(train_xgb_ray_tune pid=2397111)[0m [409]	train-mlogloss:0.89475	validation-mlogloss:0.89110
[36m(train_xgb_ray_tune pid=2397105)[0m [501]	train-mlogloss:0.91736	validation-mlogloss:0.90873
[36m(train_xgb_ray_tune pid=2397115)[0m [477]	train-mlogloss:1.15063	validation-mlogloss:1.14566
[36m(train_xgb_ray_tune pid=2397116)[0m [410]	train-mlogloss:0.86359	validation-mlogloss:0.85712
[36m(train_xgb_ray_tune pid=2397110)[0m [397]	train-mlogloss:1.03893	validation-mlogloss:1.03254
[36m(train_xgb_ray_tune pid=2397108)[0m [496]	train-mlogloss:1.21642	validation-mlogloss:1.20969
[36m(train_xgb_ray_tune pid=2397104)[0m [325]	train-mlogloss:0.89107	validation-mlogloss:0.90054
[36m(train_xgb_ray_tune pid=2397114)[0m [375]	train-mlogloss:0.91680	validation-mlogloss:0.91329
[36m(train_xgb_ray_tune pid=2397117)[0m [362]	train-mlogloss:0.87140	validation-mlogloss:0.87159
[36m(train_xgb_ray_tune pid=2397113)[0m [367]	train-mlogloss:0.81946	validation-mlogloss:0.83197
[36m(train_xgb_ray_tune pid=2397103)[0m [437]	train-mlogloss:0.77094	validation-mlogloss:0.78011
[36m(train_xgb_ray_tune pid=2397103)[0m [438]	train-mlogloss:0.77094	validation-mlogloss:0.78011
[36m(train_xgb_ray_tune pid=2397107)[0m [499]	train-mlogloss:1.18458	validation-mlogloss:1.17999
[36m(train_xgb_ray_tune pid=2397105)[0m [502]	train-mlogloss:0.91726	validation-mlogloss:0.90868
[36m(train_xgb_ray_tune pid=2397115)[0m [478]	train-mlogloss:1.15053	validation-mlogloss:1.14554
[36m(train_xgb_ray_tune pid=2397116)[0m [411]	train-mlogloss:0.86345	validation-mlogloss:0.85693
[36m(train_xgb_ray_tune pid=2397108)[0m [497]	train-mlogloss:1.21629	validation-mlogloss:1.20955
[36m(train_xgb_ray_tune pid=2397104)[0m [326]	train-mlogloss:0.89046	validation-mlogloss:0.89994
[36m(train_xgb_ray_tune pid=2397117)[0m [363]	train-mlogloss:0.87105	validation-mlogloss:0.87124
[36m(train_xgb_ray_tune pid=2397113)[0m [368]	train-mlogloss:0.81897	validation-mlogloss:0.83146
[36m(train_xgb_ray_tune pid=2397103)[0m [439]	train-mlogloss:0.77094	validation-mlogloss:0.78011
[36m(train_xgb_ray_tune pid=2397107)[0m [500]	train-mlogloss:1.18445	validation-mlogloss:1.17985
[36m(train_xgb_ray_tune pid=2397111)[0m [410]	train-mlogloss:0.89449	validation-mlogloss:0.89085
[36m(train_xgb_ray_tune pid=2397105)[0m [503]	train-mlogloss:0.91717	validation-mlogloss:0.90862
[36m(train_xgb_ray_tune pid=2397115)[0m [479]	train-mlogloss:1.15041	validation-mlogloss:1.14542
[36m(train_xgb_ray_tune pid=2397116)[0m [412]	train-mlogloss:0.86336	validation-mlogloss:0.85688
[36m(train_xgb_ray_tune pid=2397116)[0m [413]	train-mlogloss:0.86315	validation-mlogloss:0.85663
[36m(train_xgb_ray_tune pid=2397110)[0m [398]	train-mlogloss:1.03862	validation-mlogloss:1.03220
[36m(train_xgb_ray_tune pid=2397108)[0m [498]	train-mlogloss:1.21629	validation-mlogloss:1.20955
[36m(train_xgb_ray_tune pid=2397114)[0m [376]	train-mlogloss:0.91636	validation-mlogloss:0.91288
[36m(train_xgb_ray_tune pid=2397117)[0m [364]	train-mlogloss:0.87064	validation-mlogloss:0.87086
[36m(train_xgb_ray_tune pid=2397113)[0m [369]	train-mlogloss:0.81851	validation-mlogloss:0.83096
[36m(train_xgb_ray_tune pid=2397103)[0m [440]	train-mlogloss:0.77094	validation-mlogloss:0.78011
[36m(train_xgb_ray_tune pid=2397103)[0m [441]	train-mlogloss:0.77077	validation-mlogloss:0.77999
[36m(train_xgb_ray_tune pid=2397107)[0m [501]	train-mlogloss:1.18432	validation-mlogloss:1.17971
[36m(train_xgb_ray_tune pid=2397107)[0m [502]	train-mlogloss:1.18418	validation-mlogloss:1.17957
[36m(train_xgb_ray_tune pid=2397111)[0m [411]	train-mlogloss:0.89418	validation-mlogloss:0.89055
[36m(train_xgb_ray_tune pid=2397105)[0m [504]	train-mlogloss:0.91709	validation-mlogloss:0.90852
[36m(train_xgb_ray_tune pid=2397115)[0m [480]	train-mlogloss:1.15029	validation-mlogloss:1.14529
[36m(train_xgb_ray_tune pid=2397115)[0m [481]	train-mlogloss:1.15018	validation-mlogloss:1.14517
[36m(train_xgb_ray_tune pid=2397116)[0m [414]	train-mlogloss:0.86301	validation-mlogloss:0.85644
[36m(train_xgb_ray_tune pid=2397110)[0m [399]	train-mlogloss:1.03835	validation-mlogloss:1.03194
[36m(train_xgb_ray_tune pid=2397108)[0m [499]	train-mlogloss:1.21629	validation-mlogloss:1.20955
[36m(train_xgb_ray_tune pid=2397104)[0m [327]	train-mlogloss:0.88993	validation-mlogloss:0.89937
[36m(train_xgb_ray_tune pid=2397114)[0m [377]	train-mlogloss:0.91593	validation-mlogloss:0.91245
[36m(train_xgb_ray_tune pid=2397117)[0m [365]	train-mlogloss:0.87026	validation-mlogloss:0.87047
[36m(train_xgb_ray_tune pid=2397113)[0m [370]	train-mlogloss:0.81805	validation-mlogloss:0.83047
[36m(train_xgb_ray_tune pid=2397103)[0m [442]	train-mlogloss:0.77065	validation-mlogloss:0.77982
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[36m(train_xgb_ray_tune pid=2397107)[0m [520]	train-mlogloss:1.18186	validation-mlogloss:1.17713
[36m(train_xgb_ray_tune pid=2397116)[0m [431]	train-mlogloss:0.86057	validation-mlogloss:0.85399
[36m(train_xgb_ray_tune pid=2397110)[0m [415]	train-mlogloss:1.03315	validation-mlogloss:1.02662
[36m(train_xgb_ray_tune pid=2397108)[0m [521]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397117)[0m [381]	train-mlogloss:0.86497	validation-mlogloss:0.86519
[36m(train_xgb_ray_tune pid=2397111)[0m [425]	train-mlogloss:0.88993	validation-mlogloss:0.88638
[36m(train_xgb_ray_tune pid=2397116)[0m [432]	train-mlogloss:0.86049	validation-mlogloss:0.85388
[36m(train_xgb_ray_tune pid=2397104)[0m [342]	train-mlogloss:0.88142	validation-mlogloss:0.89113
[36m(train_xgb_ray_tune pid=2397114)[0m [391]	train-mlogloss:0.90994	validation-mlogloss:0.90666
[36m(train_xgb_ray_tune pid=2397117)[0m [382]	train-mlogloss:0.86461	validation-mlogloss:0.86486
[36m(train_xgb_ray_tune pid=2397113)[0m [384]	train-mlogloss:0.81174	validation-mlogloss:0.82458
[36m(train_xgb_ray_tune pid=2397103)[0m [464]	train-mlogloss:0.77006	validation-mlogloss:0.77935
[36m(train_xgb_ray_tune pid=2397107)[0m [521]	train-mlogloss:1.18173	validation-mlogloss:1.17699

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:39. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.79652 │
│ time_total_s                 8.79652 │
│ training_iteration                 1 │
│ validation_accuracy          0.57549 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397110)[0m [416]	train-mlogloss:1.03289	validation-mlogloss:1.02637
[36m(train_xgb_ray_tune pid=2397108)[0m [522]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397108)[0m [523]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [343]	train-mlogloss:0.88081	validation-mlogloss:0.89057
[36m(train_xgb_ray_tune pid=2397117)[0m [383]	train-mlogloss:0.86426	validation-mlogloss:0.86450
[36m(train_xgb_ray_tune pid=2397113)[0m [385]	train-mlogloss:0.81122	validation-mlogloss:0.82407
[36m(train_xgb_ray_tune pid=2397103)[0m [465]	train-mlogloss:0.77006	validation-mlogloss:0.77936
[36m(train_xgb_ray_tune pid=2397107)[0m [522]	train-mlogloss:1.18160	validation-mlogloss:1.17685
[36m(train_xgb_ray_tune pid=2397111)[0m [426]	train-mlogloss:0.88966	validation-mlogloss:0.88611
[36m(train_xgb_ray_tune pid=2397116)[0m [433]	train-mlogloss:0.86040	validation-mlogloss:0.85384

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:39. Total running time: 11s
[36m(train_xgb_ray_tune pid=2397110)[0m [417]	train-mlogloss:1.03267	validation-mlogloss:1.02616
[36m(train_xgb_ray_tune pid=2397108)[0m [524]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397108)[0m [525]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397114)[0m [392]	train-mlogloss:0.90957	validation-mlogloss:0.90628
[36m(train_xgb_ray_tune pid=2397117)[0m [384]	train-mlogloss:0.86396	validation-mlogloss:0.86416
[36m(train_xgb_ray_tune pid=2397113)[0m [386]	train-mlogloss:0.81070	validation-mlogloss:0.82361
[36m(train_xgb_ray_tune pid=2397103)[0m [466]	train-mlogloss:0.77006	validation-mlogloss:0.77936
[36m(train_xgb_ray_tune pid=2397103)[0m [467]	train-mlogloss:0.77006	validation-mlogloss:0.77936
[36m(train_xgb_ray_tune pid=2397107)[0m [523]	train-mlogloss:1.18147	validation-mlogloss:1.17672
[36m(train_xgb_ray_tune pid=2397107)[0m [524]	train-mlogloss:1.18135	validation-mlogloss:1.17659
[36m(train_xgb_ray_tune pid=2397111)[0m [427]	train-mlogloss:0.88926	validation-mlogloss:0.88572
[36m(train_xgb_ray_tune pid=2397116)[0m [434]	train-mlogloss:0.86032	validation-mlogloss:0.85376
[36m(train_xgb_ray_tune pid=2397116)[0m [435]	train-mlogloss:0.86024	validation-mlogloss:0.85372
[36m(train_xgb_ray_tune pid=2397110)[0m [418]	train-mlogloss:1.03235	validation-mlogloss:1.02582
[36m(train_xgb_ray_tune pid=2397110)[0m [419]	train-mlogloss:1.03210	validation-mlogloss:1.02555
[36m(train_xgb_ray_tune pid=2397110)[0m [420]	train-mlogloss:1.03183	validation-mlogloss:1.02527
[36m(train_xgb_ray_tune pid=2397108)[0m [526]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397108)[0m [527]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [344]	train-mlogloss:0.88031	validation-mlogloss:0.89006
[36m(train_xgb_ray_tune pid=2397104)[0m [345]	train-mlogloss:0.87979	validation-mlogloss:0.88956
[36m(train_xgb_ray_tune pid=2397114)[0m [393]	train-mlogloss:0.90905	validation-mlogloss:0.90576
[36m(train_xgb_ray_tune pid=2397117)[0m [385]	train-mlogloss:0.86363	validation-mlogloss:0.86386
[36m(train_xgb_ray_tune pid=2397113)[0m [387]	train-mlogloss:0.81030	validation-mlogloss:0.82320
[36m(train_xgb_ray_tune pid=2397103)[0m [468]	train-mlogloss:0.77002	validation-mlogloss:0.77930
[36m(train_xgb_ray_tune pid=2397103)[0m [469]	train-mlogloss:0.77002	validation-mlogloss:0.77930
[36m(train_xgb_ray_tune pid=2397107)[0m [525]	train-mlogloss:1.18122	validation-mlogloss:1.17646
[36m(train_xgb_ray_tune pid=2397111)[0m [428]	train-mlogloss:0.88886	validation-mlogloss:0.88531
[36m(train_xgb_ray_tune pid=2397111)[0m [429]	train-mlogloss:0.88852	validation-mlogloss:0.88498
[36m(train_xgb_ray_tune pid=2397116)[0m [436]	train-mlogloss:0.86016	validation-mlogloss:0.85363
[36m(train_xgb_ray_tune pid=2397116)[0m [437]	train-mlogloss:0.86008	validation-mlogloss:0.85353
[36m(train_xgb_ray_tune pid=2397110)[0m [421]	train-mlogloss:1.03155	validation-mlogloss:1.02497
[36m(train_xgb_ray_tune pid=2397108)[0m [528]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397108)[0m [529]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [346]	train-mlogloss:0.87934	validation-mlogloss:0.88908
[36m(train_xgb_ray_tune pid=2397114)[0m [394]	train-mlogloss:0.90871	validation-mlogloss:0.90542
[36m(train_xgb_ray_tune pid=2397117)[0m [386]	train-mlogloss:0.86331	validation-mlogloss:0.86356
[36m(train_xgb_ray_tune pid=2397113)[0m [388]	train-mlogloss:0.80990	validation-mlogloss:0.82285
[36m(train_xgb_ray_tune pid=2397103)[0m [470]	train-mlogloss:0.77002	validation-mlogloss:0.77931
[36m(train_xgb_ray_tune pid=2397107)[0m [526]	train-mlogloss:1.18109	validation-mlogloss:1.17632
[36m(train_xgb_ray_tune pid=2397116)[0m [438]	train-mlogloss:0.85999	validation-mlogloss:0.85345
[36m(train_xgb_ray_tune pid=2397110)[0m [422]	train-mlogloss:1.03120	validation-mlogloss:1.02465
[36m(train_xgb_ray_tune pid=2397108)[0m [530]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397103)[0m [471]	train-mlogloss:0.76998	validation-mlogloss:0.77925
[36m(train_xgb_ray_tune pid=2397107)[0m [527]	train-mlogloss:1.18096	validation-mlogloss:1.17619
[36m(train_xgb_ray_tune pid=2397111)[0m [430]	train-mlogloss:0.88820	validation-mlogloss:0.88466
[36m(train_xgb_ray_tune pid=2397116)[0m [439]	train-mlogloss:0.85992	validation-mlogloss:0.85338
[36m(train_xgb_ray_tune pid=2397108)[0m [531]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [347]	train-mlogloss:0.87890	validation-mlogloss:0.88867
[36m(train_xgb_ray_tune pid=2397114)[0m [395]	train-mlogloss:0.90833	validation-mlogloss:0.90505
[36m(train_xgb_ray_tune pid=2397117)[0m [387]	train-mlogloss:0.86297	validation-mlogloss:0.86318
[36m(train_xgb_ray_tune pid=2397113)[0m [389]	train-mlogloss:0.80945	validation-mlogloss:0.82249
[36m(train_xgb_ray_tune pid=2397103)[0m [472]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397107)[0m [528]	train-mlogloss:1.18083	validation-mlogloss:1.17605
[36m(train_xgb_ray_tune pid=2397111)[0m [431]	train-mlogloss:0.88796	validation-mlogloss:0.88438
[36m(train_xgb_ray_tune pid=2397116)[0m [440]	train-mlogloss:0.85983	validation-mlogloss:0.85329
[36m(train_xgb_ray_tune pid=2397110)[0m [423]	train-mlogloss:1.03094	validation-mlogloss:1.02441
[36m(train_xgb_ray_tune pid=2397108)[0m [532]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397116)[0m [441]	train-mlogloss:0.85975	validation-mlogloss:0.85325
[36m(train_xgb_ray_tune pid=2397108)[0m [533]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [348]	train-mlogloss:0.87836	validation-mlogloss:0.88813
[36m(train_xgb_ray_tune pid=2397114)[0m [396]	train-mlogloss:0.90799	validation-mlogloss:0.90472
[36m(train_xgb_ray_tune pid=2397117)[0m [388]	train-mlogloss:0.86257	validation-mlogloss:0.86281
[36m(train_xgb_ray_tune pid=2397113)[0m [390]	train-mlogloss:0.80909	validation-mlogloss:0.82209
[36m(train_xgb_ray_tune pid=2397103)[0m [473]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397107)[0m [529]	train-mlogloss:1.18070	validation-mlogloss:1.17591
[36m(train_xgb_ray_tune pid=2397111)[0m [432]	train-mlogloss:0.88773	validation-mlogloss:0.88417
[36m(train_xgb_ray_tune pid=2397116)[0m [442]	train-mlogloss:0.85967	validation-mlogloss:0.85317
[36m(train_xgb_ray_tune pid=2397116)[0m [443]	train-mlogloss:0.85946	validation-mlogloss:0.85300
[36m(train_xgb_ray_tune pid=2397110)[0m [424]	train-mlogloss:1.03069	validation-mlogloss:1.02414
[36m(train_xgb_ray_tune pid=2397110)[0m [425]	train-mlogloss:1.03047	validation-mlogloss:1.02393
[36m(train_xgb_ray_tune pid=2397108)[0m [534]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397108)[0m [535]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397104)[0m [349]	train-mlogloss:0.87787	validation-mlogloss:0.88767
[36m(train_xgb_ray_tune pid=2397114)[0m [397]	train-mlogloss:0.90762	validation-mlogloss:0.90438
[36m(train_xgb_ray_tune pid=2397103)[0m [474]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397103)[0m [475]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397107)[0m [530]	train-mlogloss:1.18058	validation-mlogloss:1.17579
[36m(train_xgb_ray_tune pid=2397116)[0m [444]	train-mlogloss:0.85938	validation-mlogloss:0.85291
[36m(train_xgb_ray_tune pid=2397108)[0m [536]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397117)[0m [389]	train-mlogloss:0.86224	validation-mlogloss:0.86249
[36m(train_xgb_ray_tune pid=2397113)[0m [391]	train-mlogloss:0.80865	validation-mlogloss:0.82163
[36m(train_xgb_ray_tune pid=2397103)[0m [476]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397107)[0m [531]	train-mlogloss:1.18045	validation-mlogloss:1.17565
[36m(train_xgb_ray_tune pid=2397111)[0m [433]	train-mlogloss:0.88740	validation-mlogloss:0.88387
[36m(train_xgb_ray_tune pid=2397116)[0m [445]	train-mlogloss:0.85919	validation-mlogloss:0.85270
[36m(train_xgb_ray_tune pid=2397110)[0m [426]	train-mlogloss:1.03019	validation-mlogloss:1.02363
[36m(train_xgb_ray_tune pid=2397104)[0m [350]	train-mlogloss:0.87748	validation-mlogloss:0.88731
[36m(train_xgb_ray_tune pid=2397116)[0m [446]	train-mlogloss:0.85899	validation-mlogloss:0.85246
[36m(train_xgb_ray_tune pid=2397108)[0m [537]	train-mlogloss:1.21573	validation-mlogloss:1.20897
[36m(train_xgb_ray_tune pid=2397114)[0m [398]	train-mlogloss:0.90724	validation-mlogloss:0.90400
[36m(train_xgb_ray_tune pid=2397117)[0m [390]	train-mlogloss:0.86187	validation-mlogloss:0.86210
[36m(train_xgb_ray_tune pid=2397113)[0m [392]	train-mlogloss:0.80823	validation-mlogloss:0.82116
[36m(train_xgb_ray_tune pid=2397103)[0m [477]	train-mlogloss:0.76993	validation-mlogloss:0.77922
[36m(train_xgb_ray_tune pid=2397107)[0m [532]	train-mlogloss:1.18033	validation-mlogloss:1.17553
[36m(train_xgb_ray_tune pid=2397111)[0m [434]	train-mlogloss:0.88712	validation-mlogloss:0.88356
[36m(train_xgb_ray_tune pid=2397116)[0m [447]	train-mlogloss:0.85891	validation-mlogloss:0.85235
[36m(train_xgb_ray_tune pid=2397110)[0m [427]	train-mlogloss:1.02992	validation-mlogloss:1.02335
[36m(train_xgb_ray_tune pid=2397108)[0m [538]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397104)[0m [351]	train-mlogloss:0.87696	validation-mlogloss:0.88681
[36m(train_xgb_ray_tune pid=2397103)[0m [478]	train-mlogloss:0.76989	validation-mlogloss:0.77920
[36m(train_xgb_ray_tune pid=2397107)[0m [533]	train-mlogloss:1.18021	validation-mlogloss:1.17540
[36m(train_xgb_ray_tune pid=2397116)[0m [448]	train-mlogloss:0.85884	validation-mlogloss:0.85228
[36m(train_xgb_ray_tune pid=2397108)[0m [539]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397117)[0m [391]	train-mlogloss:0.86158	validation-mlogloss:0.86182
[36m(train_xgb_ray_tune pid=2397113)[0m [393]	train-mlogloss:0.80782	validation-mlogloss:0.82085
[36m(train_xgb_ray_tune pid=2397103)[0m [479]	train-mlogloss:0.76989	validation-mlogloss:0.77920
[36m(train_xgb_ray_tune pid=2397103)[0m [480]	train-mlogloss:0.76989	validation-mlogloss:0.77920

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.19409 │
│ time_total_s                 9.19409 │
│ training_iteration                 1 │
│ validation_accuracy          0.62079 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397107)[0m [534]	train-mlogloss:1.18009	validation-mlogloss:1.17528

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s
[36m(train_xgb_ray_tune pid=2397111)[0m [435]	train-mlogloss:0.88677	validation-mlogloss:0.88323
[36m(train_xgb_ray_tune pid=2397116)[0m [449]	train-mlogloss:0.85870	validation-mlogloss:0.85211
[36m(train_xgb_ray_tune pid=2397110)[0m [428]	train-mlogloss:1.02960	validation-mlogloss:1.02305
[36m(train_xgb_ray_tune pid=2397108)[0m [540]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397108)[0m [541]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397104)[0m [352]	train-mlogloss:0.87646	validation-mlogloss:0.88636
[36m(train_xgb_ray_tune pid=2397114)[0m [399]	train-mlogloss:0.90688	validation-mlogloss:0.90363
[36m(train_xgb_ray_tune pid=2397117)[0m [392]	train-mlogloss:0.86117	validation-mlogloss:0.86142
[36m(train_xgb_ray_tune pid=2397103)[0m [481]	train-mlogloss:0.76989	validation-mlogloss:0.77920
[36m(train_xgb_ray_tune pid=2397111)[0m [436]	train-mlogloss:0.88647	validation-mlogloss:0.88292
[36m(train_xgb_ray_tune pid=2397116)[0m [450]	train-mlogloss:0.85863	validation-mlogloss:0.85207
[36m(train_xgb_ray_tune pid=2397110)[0m [429]	train-mlogloss:1.02931	validation-mlogloss:1.02276
[36m(train_xgb_ray_tune pid=2397108)[0m [542]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397104)[0m [353]	train-mlogloss:0.87603	validation-mlogloss:0.88585
[36m(train_xgb_ray_tune pid=2397114)[0m [400]	train-mlogloss:0.90644	validation-mlogloss:0.90319
[36m(train_xgb_ray_tune pid=2397113)[0m [394]	train-mlogloss:0.80739	validation-mlogloss:0.82047
[36m(train_xgb_ray_tune pid=2397103)[0m [482]	train-mlogloss:0.76989	validation-mlogloss:0.77920
[36m(train_xgb_ray_tune pid=2397107)[0m [535]	train-mlogloss:1.17997	validation-mlogloss:1.17515
[36m(train_xgb_ray_tune pid=2397111)[0m [437]	train-mlogloss:0.88611	validation-mlogloss:0.88256
[36m(train_xgb_ray_tune pid=2397116)[0m [451]	train-mlogloss:0.85855	validation-mlogloss:0.85203
[36m(train_xgb_ray_tune pid=2397110)[0m [430]	train-mlogloss:1.02902	validation-mlogloss:1.02245
[36m(train_xgb_ray_tune pid=2397108)[0m [543]	train-mlogloss:1.21560	validation-mlogloss:1.20882
[36m(train_xgb_ray_tune pid=2397104)[0m [354]	train-mlogloss:0.87556	validation-mlogloss:0.88539
[36m(train_xgb_ray_tune pid=2397117)[0m [393]	train-mlogloss:0.86077	validation-mlogloss:0.86102
[36m(train_xgb_ray_tune pid=2397113)[0m [395]	train-mlogloss:0.80700	validation-mlogloss:0.82013
[36m(train_xgb_ray_tune pid=2397103)[0m [483]	train-mlogloss:0.76989	validation-mlogloss:0.77920
[36m(train_xgb_ray_tune pid=2397107)[0m [536]	train-mlogloss:1.17985	validation-mlogloss:1.17502
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[36m(train_xgb_ray_tune pid=2397110)[0m [445]	train-mlogloss:1.02482	validation-mlogloss:1.01813
[36m(train_xgb_ray_tune pid=2397108)[0m [571]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397117)[0m [408]	train-mlogloss:0.85651	validation-mlogloss:0.85683
[36m(train_xgb_ray_tune pid=2397113)[0m [407]	train-mlogloss:0.80198	validation-mlogloss:0.81573
[36m(train_xgb_ray_tune pid=2397103)[0m [511]	train-mlogloss:0.76913	validation-mlogloss:0.77855
[36m(train_xgb_ray_tune pid=2397107)[0m [554]	train-mlogloss:1.17773	validation-mlogloss:1.17280
[36m(train_xgb_ray_tune pid=2397116)[0m [478]	train-mlogloss:0.85574	validation-mlogloss:0.84897
[36m(train_xgb_ray_tune pid=2397108)[0m [572]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397104)[0m [373]	train-mlogloss:0.86643	validation-mlogloss:0.87664
[36m(train_xgb_ray_tune pid=2397113)[0m [408]	train-mlogloss:0.80164	validation-mlogloss:0.81546
[36m(train_xgb_ray_tune pid=2397103)[0m [512]	train-mlogloss:0.76909	validation-mlogloss:0.77854
[36m(train_xgb_ray_tune pid=2397107)[0m [555]	train-mlogloss:1.17762	validation-mlogloss:1.17268
[36m(train_xgb_ray_tune pid=2397111)[0m [452]	train-mlogloss:0.88234	validation-mlogloss:0.87886
[36m(train_xgb_ray_tune pid=2397116)[0m [479]	train-mlogloss:0.85568	validation-mlogloss:0.84890
[36m(train_xgb_ray_tune pid=2397110)[0m [446]	train-mlogloss:1.02454	validation-mlogloss:1.01782
[36m(train_xgb_ray_tune pid=2397108)[0m [573]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397104)[0m [374]	train-mlogloss:0.86603	validation-mlogloss:0.87629
[36m(train_xgb_ray_tune pid=2397117)[0m [409]	train-mlogloss:0.85623	validation-mlogloss:0.85656
[36m(train_xgb_ray_tune pid=2397103)[0m [513]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397107)[0m [556]	train-mlogloss:1.17750	validation-mlogloss:1.17256
[36m(train_xgb_ray_tune pid=2397111)[0m [453]	train-mlogloss:0.88207	validation-mlogloss:0.87858
[36m(train_xgb_ray_tune pid=2397116)[0m [480]	train-mlogloss:0.85551	validation-mlogloss:0.84871
[36m(train_xgb_ray_tune pid=2397108)[0m [574]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397103)[0m [514]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397110)[0m [447]	train-mlogloss:1.02422	validation-mlogloss:1.01748
[36m(train_xgb_ray_tune pid=2397108)[0m [575]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397104)[0m [375]	train-mlogloss:0.86558	validation-mlogloss:0.87584
[36m(train_xgb_ray_tune pid=2397113)[0m [409]	train-mlogloss:0.80120	validation-mlogloss:0.81510
[36m(train_xgb_ray_tune pid=2397103)[0m [515]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397107)[0m [557]	train-mlogloss:1.17738	validation-mlogloss:1.17244
[36m(train_xgb_ray_tune pid=2397111)[0m [454]	train-mlogloss:0.88183	validation-mlogloss:0.87836
[36m(train_xgb_ray_tune pid=2397116)[0m [481]	train-mlogloss:0.85538	validation-mlogloss:0.84860
[36m(train_xgb_ray_tune pid=2397108)[0m [576]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397108)[0m [577]	train-mlogloss:1.21519	validation-mlogloss:1.20839
[36m(train_xgb_ray_tune pid=2397104)[0m [376]	train-mlogloss:0.86515	validation-mlogloss:0.87543
[36m(train_xgb_ray_tune pid=2397117)[0m [410]	train-mlogloss:0.85599	validation-mlogloss:0.85628
[36m(train_xgb_ray_tune pid=2397103)[0m [516]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397116)[0m [482]	train-mlogloss:0.85526	validation-mlogloss:0.84848
[36m(train_xgb_ray_tune pid=2397110)[0m [448]	train-mlogloss:1.02402	validation-mlogloss:1.01725
[36m(train_xgb_ray_tune pid=2397108)[0m [578]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397113)[0m [410]	train-mlogloss:0.80079	validation-mlogloss:0.81474
[36m(train_xgb_ray_tune pid=2397103)[0m [517]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397107)[0m [558]	train-mlogloss:1.17727	validation-mlogloss:1.17232
[36m(train_xgb_ray_tune pid=2397111)[0m [455]	train-mlogloss:0.88148	validation-mlogloss:0.87802
[36m(train_xgb_ray_tune pid=2397116)[0m [483]	train-mlogloss:0.85520	validation-mlogloss:0.84840
[36m(train_xgb_ray_tune pid=2397104)[0m [377]	train-mlogloss:0.86466	validation-mlogloss:0.87497

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.31128 │
│ time_total_s                 9.31128 │
│ training_iteration                 1 │
│ validation_accuracy           0.6401 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397103)[0m [518]	train-mlogloss:0.76904	validation-mlogloss:0.77852
[36m(train_xgb_ray_tune pid=2397107)[0m [559]	train-mlogloss:1.17715	validation-mlogloss:1.17221
[36m(train_xgb_ray_tune pid=2397116)[0m [484]	train-mlogloss:0.85502	validation-mlogloss:0.84823
[36m(train_xgb_ray_tune pid=2397110)[0m [449]	train-mlogloss:1.02375	validation-mlogloss:1.01697
[36m(train_xgb_ray_tune pid=2397108)[0m [579]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397117)[0m [411]	train-mlogloss:0.85568	validation-mlogloss:0.85596
[36m(train_xgb_ray_tune pid=2397113)[0m [411]	train-mlogloss:0.80043	validation-mlogloss:0.81436
[36m(train_xgb_ray_tune pid=2397103)[0m [519]	train-mlogloss:0.76900	validation-mlogloss:0.77847
[36m(train_xgb_ray_tune pid=2397111)[0m [456]	train-mlogloss:0.88126	validation-mlogloss:0.87782

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s
[36m(train_xgb_ray_tune pid=2397116)[0m [485]	train-mlogloss:0.85496	validation-mlogloss:0.84815
[36m(train_xgb_ray_tune pid=2397110)[0m [450]	train-mlogloss:1.02339	validation-mlogloss:1.01664
[36m(train_xgb_ray_tune pid=2397108)[0m [580]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397108)[0m [581]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [378]	train-mlogloss:0.86413	validation-mlogloss:0.87442
[36m(train_xgb_ray_tune pid=2397117)[0m [412]	train-mlogloss:0.85540	validation-mlogloss:0.85568
[36m(train_xgb_ray_tune pid=2397103)[0m [520]	train-mlogloss:0.76882	validation-mlogloss:0.77835
[36m(train_xgb_ray_tune pid=2397107)[0m [560]	train-mlogloss:1.17704	validation-mlogloss:1.17209
[36m(train_xgb_ray_tune pid=2397116)[0m [486]	train-mlogloss:0.85489	validation-mlogloss:0.84813
[36m(train_xgb_ray_tune pid=2397108)[0m [582]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [379]	train-mlogloss:0.86361	validation-mlogloss:0.87386
[36m(train_xgb_ray_tune pid=2397113)[0m [412]	train-mlogloss:0.80003	validation-mlogloss:0.81397
[36m(train_xgb_ray_tune pid=2397103)[0m [521]	train-mlogloss:0.76882	validation-mlogloss:0.77835
[36m(train_xgb_ray_tune pid=2397107)[0m [561]	train-mlogloss:1.17693	validation-mlogloss:1.17197
[36m(train_xgb_ray_tune pid=2397111)[0m [457]	train-mlogloss:0.88102	validation-mlogloss:0.87753
[36m(train_xgb_ray_tune pid=2397116)[0m [487]	train-mlogloss:0.85482	validation-mlogloss:0.84807
[36m(train_xgb_ray_tune pid=2397110)[0m [451]	train-mlogloss:1.02312	validation-mlogloss:1.01635
[36m(train_xgb_ray_tune pid=2397108)[0m [583]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397117)[0m [413]	train-mlogloss:0.85507	validation-mlogloss:0.85538
[36m(train_xgb_ray_tune pid=2397103)[0m [522]	train-mlogloss:0.76853	validation-mlogloss:0.77816
[36m(train_xgb_ray_tune pid=2397116)[0m [488]	train-mlogloss:0.85475	validation-mlogloss:0.84805
[36m(train_xgb_ray_tune pid=2397104)[0m [380]	train-mlogloss:0.86320	validation-mlogloss:0.87348
[36m(train_xgb_ray_tune pid=2397117)[0m [414]	train-mlogloss:0.85483	validation-mlogloss:0.85513
[36m(train_xgb_ray_tune pid=2397113)[0m [413]	train-mlogloss:0.79962	validation-mlogloss:0.81361
[36m(train_xgb_ray_tune pid=2397103)[0m [523]	train-mlogloss:0.76853	validation-mlogloss:0.77816
[36m(train_xgb_ray_tune pid=2397107)[0m [562]	train-mlogloss:1.17680	validation-mlogloss:1.17184
[36m(train_xgb_ray_tune pid=2397111)[0m [458]	train-mlogloss:0.88078	validation-mlogloss:0.87730
[36m(train_xgb_ray_tune pid=2397116)[0m [489]	train-mlogloss:0.85469	validation-mlogloss:0.84797
[36m(train_xgb_ray_tune pid=2397110)[0m [452]	train-mlogloss:1.02283	validation-mlogloss:1.01604
[36m(train_xgb_ray_tune pid=2397108)[0m [584]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [381]	train-mlogloss:0.86277	validation-mlogloss:0.87305
[36m(train_xgb_ray_tune pid=2397117)[0m [415]	train-mlogloss:0.85449	validation-mlogloss:0.85483
[36m(train_xgb_ray_tune pid=2397103)[0m [524]	train-mlogloss:0.76853	validation-mlogloss:0.77817
[36m(train_xgb_ray_tune pid=2397107)[0m [563]	train-mlogloss:1.17669	validation-mlogloss:1.17173
[36m(train_xgb_ray_tune pid=2397111)[0m [459]	train-mlogloss:0.88058	validation-mlogloss:0.87707
[36m(train_xgb_ray_tune pid=2397108)[0m [585]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397113)[0m [414]	train-mlogloss:0.79920	validation-mlogloss:0.81329
[36m(train_xgb_ray_tune pid=2397103)[0m [525]	train-mlogloss:0.76849	validation-mlogloss:0.77817
[36m(train_xgb_ray_tune pid=2397116)[0m [490]	train-mlogloss:0.85450	validation-mlogloss:0.84778
[36m(train_xgb_ray_tune pid=2397110)[0m [453]	train-mlogloss:1.02253	validation-mlogloss:1.01571
[36m(train_xgb_ray_tune pid=2397108)[0m [586]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [382]	train-mlogloss:0.86230	validation-mlogloss:0.87260
[36m(train_xgb_ray_tune pid=2397117)[0m [416]	train-mlogloss:0.85416	validation-mlogloss:0.85450
[36m(train_xgb_ray_tune pid=2397103)[0m [526]	train-mlogloss:0.76849	validation-mlogloss:0.77817
[36m(train_xgb_ray_tune pid=2397107)[0m [564]	train-mlogloss:1.17657	validation-mlogloss:1.17160
[36m(train_xgb_ray_tune pid=2397111)[0m [460]	train-mlogloss:0.88034	validation-mlogloss:0.87685
[36m(train_xgb_ray_tune pid=2397116)[0m [491]	train-mlogloss:0.85444	validation-mlogloss:0.84776
[36m(train_xgb_ray_tune pid=2397108)[0m [587]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397107)[0m [565]	train-mlogloss:1.17646	validation-mlogloss:1.17148
[36m(train_xgb_ray_tune pid=2397110)[0m [454]	train-mlogloss:1.02227	validation-mlogloss:1.01544
[36m(train_xgb_ray_tune pid=2397108)[0m [588]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [383]	train-mlogloss:0.86183	validation-mlogloss:0.87216
[36m(train_xgb_ray_tune pid=2397117)[0m [417]	train-mlogloss:0.85391	validation-mlogloss:0.85430
[36m(train_xgb_ray_tune pid=2397113)[0m [415]	train-mlogloss:0.79882	validation-mlogloss:0.81293
[36m(train_xgb_ray_tune pid=2397103)[0m [527]	train-mlogloss:0.76849	validation-mlogloss:0.77817
[36m(train_xgb_ray_tune pid=2397103)[0m [528]	train-mlogloss:0.76849	validation-mlogloss:0.77817
[36m(train_xgb_ray_tune pid=2397111)[0m [461]	train-mlogloss:0.88008	validation-mlogloss:0.87659
[36m(train_xgb_ray_tune pid=2397116)[0m [492]	train-mlogloss:0.85426	validation-mlogloss:0.84761
[36m(train_xgb_ray_tune pid=2397108)[0m [589]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397107)[0m [566]	train-mlogloss:1.17634	validation-mlogloss:1.17136
[36m(train_xgb_ray_tune pid=2397110)[0m [455]	train-mlogloss:1.02200	validation-mlogloss:1.01515
[36m(train_xgb_ray_tune pid=2397108)[0m [590]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [384]	train-mlogloss:0.86138	validation-mlogloss:0.87176
[36m(train_xgb_ray_tune pid=2397117)[0m [418]	train-mlogloss:0.85361	validation-mlogloss:0.85396
[36m(train_xgb_ray_tune pid=2397103)[0m [529]	train-mlogloss:0.76845	validation-mlogloss:0.77818
[36m(train_xgb_ray_tune pid=2397116)[0m [493]	train-mlogloss:0.85406	validation-mlogloss:0.84740
[36m(train_xgb_ray_tune pid=2397108)[0m [591]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397113)[0m [416]	train-mlogloss:0.79840	validation-mlogloss:0.81255
[36m(train_xgb_ray_tune pid=2397103)[0m [530]	train-mlogloss:0.76845	validation-mlogloss:0.77818
[36m(train_xgb_ray_tune pid=2397111)[0m [462]	train-mlogloss:0.87988	validation-mlogloss:0.87640
[36m(train_xgb_ray_tune pid=2397110)[0m [456]	train-mlogloss:1.02175	validation-mlogloss:1.01493
[36m(train_xgb_ray_tune pid=2397108)[0m [592]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [385]	train-mlogloss:0.86090	validation-mlogloss:0.87125
[36m(train_xgb_ray_tune pid=2397117)[0m [419]	train-mlogloss:0.85330	validation-mlogloss:0.85367
[36m(train_xgb_ray_tune pid=2397103)[0m [531]	train-mlogloss:0.76845	validation-mlogloss:0.77818
[36m(train_xgb_ray_tune pid=2397107)[0m [567]	train-mlogloss:1.17617	validation-mlogloss:1.17119
[36m(train_xgb_ray_tune pid=2397116)[0m [494]	train-mlogloss:0.85400	validation-mlogloss:0.84732
[36m(train_xgb_ray_tune pid=2397110)[0m [457]	train-mlogloss:1.02146	validation-mlogloss:1.01461
[36m(train_xgb_ray_tune pid=2397110)[0m [458]	train-mlogloss:1.02126	validation-mlogloss:1.01441
[36m(train_xgb_ray_tune pid=2397110)[0m [459]	train-mlogloss:1.02098	validation-mlogloss:1.01412
[36m(train_xgb_ray_tune pid=2397110)[0m [460]	train-mlogloss:1.02073	validation-mlogloss:1.01389
[36m(train_xgb_ray_tune pid=2397110)[0m [461]	train-mlogloss:1.02049	validation-mlogloss:1.01363
[36m(train_xgb_ray_tune pid=2397110)[0m [462]	train-mlogloss:1.02017	validation-mlogloss:1.01333
[36m(train_xgb_ray_tune pid=2397110)[0m [463]	train-mlogloss:1.01989	validation-mlogloss:1.01304
[36m(train_xgb_ray_tune pid=2397110)[0m [464]	train-mlogloss:1.01955	validation-mlogloss:1.01272
[36m(train_xgb_ray_tune pid=2397110)[0m [465]	train-mlogloss:1.01930	validation-mlogloss:1.01244
[36m(train_xgb_ray_tune pid=2397110)[0m [466]	train-mlogloss:1.01904	validation-mlogloss:1.01217
[36m(train_xgb_ray_tune pid=2397110)[0m [467]	train-mlogloss:1.01875	validation-mlogloss:1.01185
[36m(train_xgb_ray_tune pid=2397110)[0m [468]	train-mlogloss:1.01852	validation-mlogloss:1.01161
[36m(train_xgb_ray_tune pid=2397108)[0m [593]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397108)[0m [594]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397108)[0m [595]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397108)[0m [596]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397108)[0m [597]	train-mlogloss:1.21505	validation-mlogloss:1.20825
[36m(train_xgb_ray_tune pid=2397104)[0m [386]	train-mlogloss:0.86043	validation-mlogloss:0.87083
[36m(train_xgb_ray_tune pid=2397104)[0m [387]	train-mlogloss:0.85998	validation-mlogloss:0.87041
[36m(train_xgb_ray_tune pid=2397104)[0m [388]	train-mlogloss:0.85949	validation-mlogloss:0.86998
[36m(train_xgb_ray_tune pid=2397104)[0m [389]	train-mlogloss:0.85904	validation-mlogloss:0.86954
[36m(train_xgb_ray_tune pid=2397104)[0m [390]	train-mlogloss:0.85854	validation-mlogloss:0.86905
[36m(train_xgb_ray_tune pid=2397104)[0m [391]	train-mlogloss:0.85811	validation-mlogloss:0.86863
[36m(train_xgb_ray_tune pid=2397104)[0m [392]	train-mlogloss:0.85770	validation-mlogloss:0.86823
[36m(train_xgb_ray_tune pid=2397104)[0m [393]	train-mlogloss:0.85737	validation-mlogloss:0.86790
[36m(train_xgb_ray_tune pid=2397104)[0m [394]	train-mlogloss:0.85697	validation-mlogloss:0.86754
[36m(train_xgb_ray_tune pid=2397104)[0m [395]	train-mlogloss:0.85651	validation-mlogloss:0.86708
[36m(train_xgb_ray_tune pid=2397104)[0m [396]	train-mlogloss:0.85618	validation-mlogloss:0.86678
[36m(train_xgb_ray_tune pid=2397104)[0m [397]	train-mlogloss:0.85576	validation-mlogloss:0.86638
[36m(train_xgb_ray_tune pid=2397104)[0m [398]	train-mlogloss:0.85531	validation-mlogloss:0.86595
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[36m(train_xgb_ray_tune pid=2397104)[0m [400]	train-mlogloss:0.85453	validation-mlogloss:0.86514
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[36m(train_xgb_ray_tune pid=2397107)[0m [582]	train-mlogloss:1.17450	validation-mlogloss:1.16943
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[36m(train_xgb_ray_tune pid=2397116)[0m [509]	train-mlogloss:0.85298	validation-mlogloss:0.84629
[36m(train_xgb_ray_tune pid=2397116)[0m [510]	train-mlogloss:0.85291	validation-mlogloss:0.84623
[36m(train_xgb_ray_tune pid=2397116)[0m [511]	train-mlogloss:0.85285	validation-mlogloss:0.84614
[36m(train_xgb_ray_tune pid=2397116)[0m [512]	train-mlogloss:0.85279	validation-mlogloss:0.84606
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[36m(train_xgb_ray_tune pid=2397116)[0m [518]	train-mlogloss:0.85230	validation-mlogloss:0.84561
[36m(train_xgb_ray_tune pid=2397110)[0m [469]	train-mlogloss:1.01823	validation-mlogloss:1.01130
[36m(train_xgb_ray_tune pid=2397107)[0m [583]	train-mlogloss:1.17439	validation-mlogloss:1.16932
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[36m(train_xgb_ray_tune pid=2397103)[0m [558]	train-mlogloss:0.76800	validation-mlogloss:0.77785
[36m(train_xgb_ray_tune pid=2397111)[0m [476]	train-mlogloss:0.87647	validation-mlogloss:0.87305
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[36m(train_xgb_ray_tune pid=2397117)[0m [433]	train-mlogloss:0.84970	validation-mlogloss:0.85003
[36m(train_xgb_ray_tune pid=2397103)[0m [559]	train-mlogloss:0.76800	validation-mlogloss:0.77785
[36m(train_xgb_ray_tune pid=2397116)[0m [520]	train-mlogloss:0.85218	validation-mlogloss:0.84546
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[36m(train_xgb_ray_tune pid=2397107)[0m [584]	train-mlogloss:1.17428	validation-mlogloss:1.16920
[36m(train_xgb_ray_tune pid=2397103)[0m [560]	train-mlogloss:0.76800	validation-mlogloss:0.77785
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[36m(train_xgb_ray_tune pid=2397107)[0m [585]	train-mlogloss:1.17416	validation-mlogloss:1.16909
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[36m(train_xgb_ray_tune pid=2397116)[0m [523]	train-mlogloss:0.85199	validation-mlogloss:0.84532
[36m(train_xgb_ray_tune pid=2397107)[0m [586]	train-mlogloss:1.17406	validation-mlogloss:1.16898
[36m(train_xgb_ray_tune pid=2397117)[0m [435]	train-mlogloss:0.84929	validation-mlogloss:0.84956
[36m(train_xgb_ray_tune pid=2397103)[0m [563]	train-mlogloss:0.76789	validation-mlogloss:0.77783
[36m(train_xgb_ray_tune pid=2397116)[0m [524]	train-mlogloss:0.85193	validation-mlogloss:0.84526
[36m(train_xgb_ray_tune pid=2397110)[0m [472]	train-mlogloss:1.01745	validation-mlogloss:1.01048
[36m(train_xgb_ray_tune pid=2397104)[0m [405]	train-mlogloss:0.85269	validation-mlogloss:0.86334
[36m(train_xgb_ray_tune pid=2397111)[0m [479]	train-mlogloss:0.87569	validation-mlogloss:0.87226
[36m(train_xgb_ray_tune pid=2397103)[0m [564]	train-mlogloss:0.76789	validation-mlogloss:0.77783
[36m(train_xgb_ray_tune pid=2397107)[0m [587]	train-mlogloss:1.17395	validation-mlogloss:1.16886
[36m(train_xgb_ray_tune pid=2397116)[0m [525]	train-mlogloss:0.85193	validation-mlogloss:0.84526
[36m(train_xgb_ray_tune pid=2397117)[0m [436]	train-mlogloss:0.84913	validation-mlogloss:0.84937
[36m(train_xgb_ray_tune pid=2397103)[0m [565]	train-mlogloss:0.76789	validation-mlogloss:0.77783
[36m(train_xgb_ray_tune pid=2397110)[0m [473]	train-mlogloss:1.01723	validation-mlogloss:1.01025
[36m(train_xgb_ray_tune pid=2397111)[0m [480]	train-mlogloss:0.87553	validation-mlogloss:0.87212
[36m(train_xgb_ray_tune pid=2397116)[0m [526]	train-mlogloss:0.85187	validation-mlogloss:0.84524
[36m(train_xgb_ray_tune pid=2397103)[0m [566]	train-mlogloss:0.76777	validation-mlogloss:0.77772
[36m(train_xgb_ray_tune pid=2397107)[0m [588]	train-mlogloss:1.17377	validation-mlogloss:1.16868
[36m(train_xgb_ray_tune pid=2397116)[0m [527]	train-mlogloss:0.85181	validation-mlogloss:0.84518
[36m(train_xgb_ray_tune pid=2397104)[0m [406]	train-mlogloss:0.85221	validation-mlogloss:0.86289
[36m(train_xgb_ray_tune pid=2397117)[0m [437]	train-mlogloss:0.84885	validation-mlogloss:0.84907

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.25759 │
│ time_total_s                 9.25759 │
│ training_iteration                 1 │
│ validation_accuracy          0.44417 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2397103)[0m [567]	train-mlogloss:0.76777	validation-mlogloss:0.77772

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s
[36m(train_xgb_ray_tune pid=2397110)[0m [474]	train-mlogloss:1.01698	validation-mlogloss:1.00998
[36m(train_xgb_ray_tune pid=2397107)[0m [589]	train-mlogloss:1.17366	validation-mlogloss:1.16857
[36m(train_xgb_ray_tune pid=2397111)[0m [481]	train-mlogloss:0.87531	validation-mlogloss:0.87191
[36m(train_xgb_ray_tune pid=2397116)[0m [528]	train-mlogloss:0.85170	validation-mlogloss:0.84509
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[36m(train_xgb_ray_tune pid=2397117)[0m [438]	train-mlogloss:0.84849	validation-mlogloss:0.84873
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[36m(train_xgb_ray_tune pid=2397107)[0m [590]	train-mlogloss:1.17355	validation-mlogloss:1.16846
[36m(train_xgb_ray_tune pid=2397111)[0m [482]	train-mlogloss:0.87508	validation-mlogloss:0.87169
[36m(train_xgb_ray_tune pid=2397116)[0m [529]	train-mlogloss:0.85164	validation-mlogloss:0.84508
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[36m(train_xgb_ray_tune pid=2397110)[0m [475]	train-mlogloss:1.01675	validation-mlogloss:1.00980
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[36m(train_xgb_ray_tune pid=2397117)[0m [439]	train-mlogloss:0.84824	validation-mlogloss:0.84848
[36m(train_xgb_ray_tune pid=2397103)[0m [570]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397107)[0m [591]	train-mlogloss:1.17345	validation-mlogloss:1.16835
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[36m(train_xgb_ray_tune pid=2397117)[0m [440]	train-mlogloss:0.84805	validation-mlogloss:0.84833
[36m(train_xgb_ray_tune pid=2397103)[0m [571]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397107)[0m [592]	train-mlogloss:1.17334	validation-mlogloss:1.16824
[36m(train_xgb_ray_tune pid=2397111)[0m [483]	train-mlogloss:0.87487	validation-mlogloss:0.87151
[36m(train_xgb_ray_tune pid=2397116)[0m [531]	train-mlogloss:0.85153	validation-mlogloss:0.84500
[36m(train_xgb_ray_tune pid=2397116)[0m [532]	train-mlogloss:0.85147	validation-mlogloss:0.84491
[36m(train_xgb_ray_tune pid=2397110)[0m [477]	train-mlogloss:1.01620	validation-mlogloss:1.00926
[36m(train_xgb_ray_tune pid=2397104)[0m [409]	train-mlogloss:0.85090	validation-mlogloss:0.86172
[36m(train_xgb_ray_tune pid=2397104)[0m [410]	train-mlogloss:0.85059	validation-mlogloss:0.86142
[36m(train_xgb_ray_tune pid=2397117)[0m [441]	train-mlogloss:0.84784	validation-mlogloss:0.84811
[36m(train_xgb_ray_tune pid=2397103)[0m [572]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [573]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397111)[0m [484]	train-mlogloss:0.87459	validation-mlogloss:0.87122
[36m(train_xgb_ray_tune pid=2397116)[0m [533]	train-mlogloss:0.85141	validation-mlogloss:0.84489

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              9.3736 │
│ time_total_s                  9.3736 │
│ training_iteration                 1 │
│ validation_accuracy          0.67451 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s
[36m(train_xgb_ray_tune pid=2397110)[0m [478]	train-mlogloss:1.01594	validation-mlogloss:1.00897
[36m(train_xgb_ray_tune pid=2397110)[0m [479]	train-mlogloss:1.01572	validation-mlogloss:1.00876
[36m(train_xgb_ray_tune pid=2397110)[0m [480]	train-mlogloss:1.01554	validation-mlogloss:1.00858
[36m(train_xgb_ray_tune pid=2397110)[0m [481]	train-mlogloss:1.01522	validation-mlogloss:1.00827
[36m(train_xgb_ray_tune pid=2397110)[0m [482]	train-mlogloss:1.01496	validation-mlogloss:1.00802
[36m(train_xgb_ray_tune pid=2397110)[0m [483]	train-mlogloss:1.01478	validation-mlogloss:1.00784
[36m(train_xgb_ray_tune pid=2397110)[0m [484]	train-mlogloss:1.01450	validation-mlogloss:1.00757
[36m(train_xgb_ray_tune pid=2397110)[0m [485]	train-mlogloss:1.01437	validation-mlogloss:1.00743
[36m(train_xgb_ray_tune pid=2397110)[0m [486]	train-mlogloss:1.01410	validation-mlogloss:1.00720
[36m(train_xgb_ray_tune pid=2397110)[0m [487]	train-mlogloss:1.01384	validation-mlogloss:1.00692
[36m(train_xgb_ray_tune pid=2397110)[0m [488]	train-mlogloss:1.01359	validation-mlogloss:1.00665
[36m(train_xgb_ray_tune pid=2397110)[0m [489]	train-mlogloss:1.01342	validation-mlogloss:1.00648
[36m(train_xgb_ray_tune pid=2397104)[0m [411]	train-mlogloss:0.85020	validation-mlogloss:0.86105
[36m(train_xgb_ray_tune pid=2397104)[0m [412]	train-mlogloss:0.84981	validation-mlogloss:0.86071
[36m(train_xgb_ray_tune pid=2397104)[0m [413]	train-mlogloss:0.84930	validation-mlogloss:0.86023
[36m(train_xgb_ray_tune pid=2397104)[0m [414]	train-mlogloss:0.84888	validation-mlogloss:0.85983
[36m(train_xgb_ray_tune pid=2397104)[0m [415]	train-mlogloss:0.84860	validation-mlogloss:0.85955
[36m(train_xgb_ray_tune pid=2397104)[0m [416]	train-mlogloss:0.84816	validation-mlogloss:0.85913
[36m(train_xgb_ray_tune pid=2397104)[0m [417]	train-mlogloss:0.84783	validation-mlogloss:0.85878
[36m(train_xgb_ray_tune pid=2397104)[0m [418]	train-mlogloss:0.84740	validation-mlogloss:0.85834
[36m(train_xgb_ray_tune pid=2397104)[0m [419]	train-mlogloss:0.84705	validation-mlogloss:0.85802
[36m(train_xgb_ray_tune pid=2397104)[0m [420]	train-mlogloss:0.84673	validation-mlogloss:0.85774
[36m(train_xgb_ray_tune pid=2397104)[0m [421]	train-mlogloss:0.84639	validation-mlogloss:0.85740
[36m(train_xgb_ray_tune pid=2397104)[0m [422]	train-mlogloss:0.84597	validation-mlogloss:0.85702
[36m(train_xgb_ray_tune pid=2397104)[0m [423]	train-mlogloss:0.84546	validation-mlogloss:0.85652
[36m(train_xgb_ray_tune pid=2397104)[0m [424]	train-mlogloss:0.84511	validation-mlogloss:0.85618
[36m(train_xgb_ray_tune pid=2397104)[0m [425]	train-mlogloss:0.84469	validation-mlogloss:0.85579
[36m(train_xgb_ray_tune pid=2397117)[0m [442]	train-mlogloss:0.84754	validation-mlogloss:0.84779
[36m(train_xgb_ray_tune pid=2397117)[0m [443]	train-mlogloss:0.84732	validation-mlogloss:0.84755
[36m(train_xgb_ray_tune pid=2397117)[0m [444]	train-mlogloss:0.84715	validation-mlogloss:0.84736
[36m(train_xgb_ray_tune pid=2397117)[0m [445]	train-mlogloss:0.84692	validation-mlogloss:0.84716
[36m(train_xgb_ray_tune pid=2397117)[0m [446]	train-mlogloss:0.84664	validation-mlogloss:0.84687
[36m(train_xgb_ray_tune pid=2397117)[0m [447]	train-mlogloss:0.84642	validation-mlogloss:0.84668
[36m(train_xgb_ray_tune pid=2397117)[0m [448]	train-mlogloss:0.84621	validation-mlogloss:0.84647
[36m(train_xgb_ray_tune pid=2397117)[0m [449]	train-mlogloss:0.84597	validation-mlogloss:0.84622
[36m(train_xgb_ray_tune pid=2397117)[0m [450]	train-mlogloss:0.84567	validation-mlogloss:0.84590
[36m(train_xgb_ray_tune pid=2397117)[0m [451]	train-mlogloss:0.84549	validation-mlogloss:0.84573
[36m(train_xgb_ray_tune pid=2397117)[0m [452]	train-mlogloss:0.84524	validation-mlogloss:0.84550
[36m(train_xgb_ray_tune pid=2397103)[0m [574]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [575]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [576]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [577]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [578]	train-mlogloss:0.76777	validation-mlogloss:0.77771
[36m(train_xgb_ray_tune pid=2397103)[0m [579]	train-mlogloss:0.76767	validation-mlogloss:0.77770
[36m(train_xgb_ray_tune pid=2397103)[0m [580]	train-mlogloss:0.76767	validation-mlogloss:0.77769
[36m(train_xgb_ray_tune pid=2397107)[0m [593]	train-mlogloss:1.17324	validation-mlogloss:1.16813
[36m(train_xgb_ray_tune pid=2397107)[0m [594]	train-mlogloss:1.17314	validation-mlogloss:1.16802
[36m(train_xgb_ray_tune pid=2397107)[0m [595]	train-mlogloss:1.17303	validation-mlogloss:1.16791
[36m(train_xgb_ray_tune pid=2397107)[0m [596]	train-mlogloss:1.17292	validation-mlogloss:1.16779
[36m(train_xgb_ray_tune pid=2397107)[0m [597]	train-mlogloss:1.17281	validation-mlogloss:1.16768
[36m(train_xgb_ray_tune pid=2397107)[0m [598]	train-mlogloss:1.17270	validation-mlogloss:1.16757
[36m(train_xgb_ray_tune pid=2397107)[0m [599]	train-mlogloss:1.17261	validation-mlogloss:1.16747
[36m(train_xgb_ray_tune pid=2397107)[0m [600]	train-mlogloss:1.17251	validation-mlogloss:1.16736
[36m(train_xgb_ray_tune pid=2397107)[0m [601]	train-mlogloss:1.17241	validation-mlogloss:1.16726
[36m(train_xgb_ray_tune pid=2397107)[0m [602]	train-mlogloss:1.17231	validation-mlogloss:1.16715
[36m(train_xgb_ray_tune pid=2397107)[0m [603]	train-mlogloss:1.17220	validation-mlogloss:1.16705
[36m(train_xgb_ray_tune pid=2397107)[0m [604]	train-mlogloss:1.17210	validation-mlogloss:1.16693
[36m(train_xgb_ray_tune pid=2397107)[0m [605]	train-mlogloss:1.17200	validation-mlogloss:1.16683
[36m(train_xgb_ray_tune pid=2397107)[0m [606]	train-mlogloss:1.17190	validation-mlogloss:1.16673
[36m(train_xgb_ray_tune pid=2397107)[0m [607]	train-mlogloss:1.17180	validation-mlogloss:1.16663
[36m(train_xgb_ray_tune pid=2397111)[0m [485]	train-mlogloss:0.87437	validation-mlogloss:0.87100
[36m(train_xgb_ray_tune pid=2397111)[0m [486]	train-mlogloss:0.87422	validation-mlogloss:0.87085
[36m(train_xgb_ray_tune pid=2397111)[0m [487]	train-mlogloss:0.87396	validation-mlogloss:0.87061
[36m(train_xgb_ray_tune pid=2397111)[0m [488]	train-mlogloss:0.87379	validation-mlogloss:0.87044
[36m(train_xgb_ray_tune pid=2397111)[0m [489]	train-mlogloss:0.87361	validation-mlogloss:0.87024
[36m(train_xgb_ray_tune pid=2397111)[0m [490]	train-mlogloss:0.87338	validation-mlogloss:0.87001
[36m(train_xgb_ray_tune pid=2397111)[0m [491]	train-mlogloss:0.87320	validation-mlogloss:0.86981
[36m(train_xgb_ray_tune pid=2397116)[0m [534]	train-mlogloss:0.85135	validation-mlogloss:0.84481
[36m(train_xgb_ray_tune pid=2397116)[0m [535]	train-mlogloss:0.85124	validation-mlogloss:0.84469
[36m(train_xgb_ray_tune pid=2397116)[0m [536]	train-mlogloss:0.85112	validation-mlogloss:0.84454
[36m(train_xgb_ray_tune pid=2397116)[0m [537]	train-mlogloss:0.85107	validation-mlogloss:0.84444
[36m(train_xgb_ray_tune pid=2397116)[0m [538]	train-mlogloss:0.85084	validation-mlogloss:0.84423
[36m(train_xgb_ray_tune pid=2397116)[0m [539]	train-mlogloss:0.85078	validation-mlogloss:0.84418
[36m(train_xgb_ray_tune pid=2397116)[0m [540]	train-mlogloss:0.85078	validation-mlogloss:0.84418
[36m(train_xgb_ray_tune pid=2397116)[0m [541]	train-mlogloss:0.85072	validation-mlogloss:0.84411
[36m(train_xgb_ray_tune pid=2397116)[0m [542]	train-mlogloss:0.85066	validation-mlogloss:0.84404
[36m(train_xgb_ray_tune pid=2397116)[0m [543]	train-mlogloss:0.85060	validation-mlogloss:0.84399
[36m(train_xgb_ray_tune pid=2397116)[0m [544]	train-mlogloss:0.85060	validation-mlogloss:0.84399
[36m(train_xgb_ray_tune pid=2397116)[0m [545]	train-mlogloss:0.85055	validation-mlogloss:0.84398
[36m(train_xgb_ray_tune pid=2397116)[0m [546]	train-mlogloss:0.85049	validation-mlogloss:0.84392
[36m(train_xgb_ray_tune pid=2397116)[0m [547]	train-mlogloss:0.85043	validation-mlogloss:0.84385
[36m(train_xgb_ray_tune pid=2397116)[0m [548]	train-mlogloss:0.85038	validation-mlogloss:0.84380
[36m(train_xgb_ray_tune pid=2397116)[0m [549]	train-mlogloss:0.85032	validation-mlogloss:0.84375
[36m(train_xgb_ray_tune pid=2397116)[0m [550]	train-mlogloss:0.85014	validation-mlogloss:0.84357
[36m(train_xgb_ray_tune pid=2397116)[0m [551]	train-mlogloss:0.85008	validation-mlogloss:0.84356
[36m(train_xgb_ray_tune pid=2397116)[0m [552]	train-mlogloss:0.85002	validation-mlogloss:0.84348
[36m(train_xgb_ray_tune pid=2397116)[0m [553]	train-mlogloss:0.84997	validation-mlogloss:0.84346
[36m(train_xgb_ray_tune pid=2397116)[0m [554]	train-mlogloss:0.84997	validation-mlogloss:0.84346
[36m(train_xgb_ray_tune pid=2397116)[0m [555]	train-mlogloss:0.84991	validation-mlogloss:0.84341
[36m(train_xgb_ray_tune pid=2397116)[0m [556]	train-mlogloss:0.84980	validation-mlogloss:0.84330
[36m(train_xgb_ray_tune pid=2397116)[0m [557]	train-mlogloss:0.84973	validation-mlogloss:0.84323
[36m(train_xgb_ray_tune pid=2397116)[0m [558]	train-mlogloss:0.84973	validation-mlogloss:0.84323
[36m(train_xgb_ray_tune pid=2397110)[0m [490]	train-mlogloss:1.01311	validation-mlogloss:1.00617
[36m(train_xgb_ray_tune pid=2397104)[0m [426]	train-mlogloss:0.84437	validation-mlogloss:0.85547
[36m(train_xgb_ray_tune pid=2397117)[0m [453]	train-mlogloss:0.84503	validation-mlogloss:0.84532
[36m(train_xgb_ray_tune pid=2397107)[0m [608]	train-mlogloss:1.17169	validation-mlogloss:1.16651
[36m(train_xgb_ray_tune pid=2397116)[0m [559]	train-mlogloss:0.84967	validation-mlogloss:0.84321

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.60408 │
│ time_total_s                 9.60408 │
│ training_iteration                 1 │
│ validation_accuracy          0.66959 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:40. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.75195 │
│ time_total_s                 9.75195 │
│ training_iteration                 1 │
│ validation_accuracy           0.6552 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:40. Total running time: 12s
[36m(train_xgb_ray_tune pid=2397110)[0m [491]	train-mlogloss:1.01285	validation-mlogloss:1.00593
[36m(train_xgb_ray_tune pid=2397110)[0m [492]	train-mlogloss:1.01264	validation-mlogloss:1.00571
[36m(train_xgb_ray_tune pid=2397110)[0m [493]	train-mlogloss:1.01240	validation-mlogloss:1.00545
[36m(train_xgb_ray_tune pid=2397110)[0m [494]	train-mlogloss:1.01217	validation-mlogloss:1.00519
[36m(train_xgb_ray_tune pid=2397110)[0m [495]	train-mlogloss:1.01191	validation-mlogloss:1.00495
[36m(train_xgb_ray_tune pid=2397110)[0m [496]	train-mlogloss:1.01170	validation-mlogloss:1.00473
[36m(train_xgb_ray_tune pid=2397110)[0m [497]	train-mlogloss:1.01157	validation-mlogloss:1.00459
[36m(train_xgb_ray_tune pid=2397110)[0m [498]	train-mlogloss:1.01140	validation-mlogloss:1.00441
[36m(train_xgb_ray_tune pid=2397110)[0m [499]	train-mlogloss:1.01111	validation-mlogloss:1.00414
[36m(train_xgb_ray_tune pid=2397110)[0m [500]	train-mlogloss:1.01089	validation-mlogloss:1.00394
[36m(train_xgb_ray_tune pid=2397110)[0m [501]	train-mlogloss:1.01073	validation-mlogloss:1.00377
[36m(train_xgb_ray_tune pid=2397110)[0m [502]	train-mlogloss:1.01050	validation-mlogloss:1.00352
[36m(train_xgb_ray_tune pid=2397110)[0m [503]	train-mlogloss:1.01028	validation-mlogloss:1.00328
[36m(train_xgb_ray_tune pid=2397110)[0m [504]	train-mlogloss:1.00997	validation-mlogloss:1.00298
[36m(train_xgb_ray_tune pid=2397110)[0m [505]	train-mlogloss:1.00977	validation-mlogloss:1.00280
[36m(train_xgb_ray_tune pid=2397110)[0m [506]	train-mlogloss:1.00953	validation-mlogloss:1.00255
[36m(train_xgb_ray_tune pid=2397104)[0m [427]	train-mlogloss:0.84395	validation-mlogloss:0.85506
[36m(train_xgb_ray_tune pid=2397104)[0m [428]	train-mlogloss:0.84359	validation-mlogloss:0.85474
[36m(train_xgb_ray_tune pid=2397104)[0m [429]	train-mlogloss:0.84317	validation-mlogloss:0.85434
[36m(train_xgb_ray_tune pid=2397104)[0m [430]	train-mlogloss:0.84282	validation-mlogloss:0.85400
[36m(train_xgb_ray_tune pid=2397104)[0m [431]	train-mlogloss:0.84243	validation-mlogloss:0.85366
[36m(train_xgb_ray_tune pid=2397104)[0m [432]	train-mlogloss:0.84208	validation-mlogloss:0.85334
[36m(train_xgb_ray_tune pid=2397104)[0m [433]	train-mlogloss:0.84179	validation-mlogloss:0.85304
[36m(train_xgb_ray_tune pid=2397104)[0m [434]	train-mlogloss:0.84137	validation-mlogloss:0.85262
[36m(train_xgb_ray_tune pid=2397104)[0m [435]	train-mlogloss:0.84097	validation-mlogloss:0.85225
[36m(train_xgb_ray_tune pid=2397104)[0m [436]	train-mlogloss:0.84060	validation-mlogloss:0.85191
[36m(train_xgb_ray_tune pid=2397104)[0m [437]	train-mlogloss:0.84035	validation-mlogloss:0.85169
[36m(train_xgb_ray_tune pid=2397104)[0m [438]	train-mlogloss:0.84011	validation-mlogloss:0.85148
[36m(train_xgb_ray_tune pid=2397104)[0m [439]	train-mlogloss:0.83973	validation-mlogloss:0.85106
[36m(train_xgb_ray_tune pid=2397104)[0m [440]	train-mlogloss:0.83940	validation-mlogloss:0.85074
[36m(train_xgb_ray_tune pid=2397104)[0m [441]	train-mlogloss:0.83899	validation-mlogloss:0.85032
[36m(train_xgb_ray_tune pid=2397104)[0m [442]	train-mlogloss:0.83862	validation-mlogloss:0.84996
[36m(train_xgb_ray_tune pid=2397104)[0m [443]	train-mlogloss:0.83828	validation-mlogloss:0.84964
[36m(train_xgb_ray_tune pid=2397117)[0m [454]	train-mlogloss:0.84483	validation-mlogloss:0.84508
[36m(train_xgb_ray_tune pid=2397117)[0m [455]	train-mlogloss:0.84466	validation-mlogloss:0.84490
[36m(train_xgb_ray_tune pid=2397117)[0m [456]	train-mlogloss:0.84446	validation-mlogloss:0.84470
[36m(train_xgb_ray_tune pid=2397117)[0m [457]	train-mlogloss:0.84428	validation-mlogloss:0.84449
[36m(train_xgb_ray_tune pid=2397117)[0m [458]	train-mlogloss:0.84414	validation-mlogloss:0.84437
[36m(train_xgb_ray_tune pid=2397117)[0m [459]	train-mlogloss:0.84382	validation-mlogloss:0.84408
[36m(train_xgb_ray_tune pid=2397117)[0m [460]	train-mlogloss:0.84358	validation-mlogloss:0.84388
[36m(train_xgb_ray_tune pid=2397117)[0m [461]	train-mlogloss:0.84335	validation-mlogloss:0.84365
[36m(train_xgb_ray_tune pid=2397117)[0m [462]	train-mlogloss:0.84317	validation-mlogloss:0.84350
[36m(train_xgb_ray_tune pid=2397117)[0m [463]	train-mlogloss:0.84290	validation-mlogloss:0.84325
[36m(train_xgb_ray_tune pid=2397117)[0m [464]	train-mlogloss:0.84268	validation-mlogloss:0.84309
[36m(train_xgb_ray_tune pid=2397117)[0m [465]	train-mlogloss:0.84241	validation-mlogloss:0.84280
[36m(train_xgb_ray_tune pid=2397117)[0m [466]	train-mlogloss:0.84223	validation-mlogloss:0.84263
[36m(train_xgb_ray_tune pid=2397107)[0m [609]	train-mlogloss:1.17159	validation-mlogloss:1.16640
[36m(train_xgb_ray_tune pid=2397107)[0m [610]	train-mlogloss:1.17149	validation-mlogloss:1.16629
[36m(train_xgb_ray_tune pid=2397107)[0m [611]	train-mlogloss:1.17139	validation-mlogloss:1.16619
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[36m(train_xgb_ray_tune pid=2397116)[0m [643]	train-mlogloss:0.84699	validation-mlogloss:0.84022
[36m(train_xgb_ray_tune pid=2397116)[0m [644]	train-mlogloss:0.84693	validation-mlogloss:0.84020
[36m(train_xgb_ray_tune pid=2397116)[0m [645]	train-mlogloss:0.84693	validation-mlogloss:0.84020
[36m(train_xgb_ray_tune pid=2397116)[0m [646]	train-mlogloss:0.84693	validation-mlogloss:0.84020
[36m(train_xgb_ray_tune pid=2397116)[0m [647]	train-mlogloss:0.84693	validation-mlogloss:0.84020
[36m(train_xgb_ray_tune pid=2397110)[0m [568]	train-mlogloss:0.99806	validation-mlogloss:0.99090
[36m(train_xgb_ray_tune pid=2397116)[0m [648]	train-mlogloss:0.84693	validation-mlogloss:0.84020
[36m(train_xgb_ray_tune pid=2397110)[0m [569]	train-mlogloss:0.99786	validation-mlogloss:0.99074
[36m(train_xgb_ray_tune pid=2397104)[0m [497]	train-mlogloss:0.82222	validation-mlogloss:0.83427
[36m(train_xgb_ray_tune pid=2397117)[0m [531]	train-mlogloss:0.83079	validation-mlogloss:0.83116
[36m(train_xgb_ray_tune pid=2397116)[0m [649]	train-mlogloss:0.84688	validation-mlogloss:0.84015

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:41. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.91446 │
│ time_total_s                 9.91446 │
│ training_iteration                 1 │
│ validation_accuracy          0.53371 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:41. Total running time: 13s
[36m(train_xgb_ray_tune pid=2397110)[0m [570]	train-mlogloss:0.99769	validation-mlogloss:0.99060
[36m(train_xgb_ray_tune pid=2397110)[0m [571]	train-mlogloss:0.99756	validation-mlogloss:0.99047
[36m(train_xgb_ray_tune pid=2397110)[0m [572]	train-mlogloss:0.99739	validation-mlogloss:0.99029
[36m(train_xgb_ray_tune pid=2397110)[0m [573]	train-mlogloss:0.99711	validation-mlogloss:0.99003
[36m(train_xgb_ray_tune pid=2397110)[0m [574]	train-mlogloss:0.99689	validation-mlogloss:0.98983
[36m(train_xgb_ray_tune pid=2397110)[0m [575]	train-mlogloss:0.99667	validation-mlogloss:0.98960
[36m(train_xgb_ray_tune pid=2397110)[0m [576]	train-mlogloss:0.99651	validation-mlogloss:0.98947
[36m(train_xgb_ray_tune pid=2397110)[0m [577]	train-mlogloss:0.99637	validation-mlogloss:0.98933
[36m(train_xgb_ray_tune pid=2397110)[0m [578]	train-mlogloss:0.99621	validation-mlogloss:0.98918
[36m(train_xgb_ray_tune pid=2397110)[0m [579]	train-mlogloss:0.99607	validation-mlogloss:0.98904
[36m(train_xgb_ray_tune pid=2397110)[0m [580]	train-mlogloss:0.99584	validation-mlogloss:0.98880
[36m(train_xgb_ray_tune pid=2397110)[0m [581]	train-mlogloss:0.99570	validation-mlogloss:0.98869
[36m(train_xgb_ray_tune pid=2397110)[0m [582]	train-mlogloss:0.99553	validation-mlogloss:0.98854
[36m(train_xgb_ray_tune pid=2397110)[0m [583]	train-mlogloss:0.99534	validation-mlogloss:0.98833
[36m(train_xgb_ray_tune pid=2397110)[0m [584]	train-mlogloss:0.99524	validation-mlogloss:0.98823
[36m(train_xgb_ray_tune pid=2397110)[0m [585]	train-mlogloss:0.99501	validation-mlogloss:0.98798
[36m(train_xgb_ray_tune pid=2397110)[0m [586]	train-mlogloss:0.99491	validation-mlogloss:0.98788
[36m(train_xgb_ray_tune pid=2397110)[0m [587]	train-mlogloss:0.99478	validation-mlogloss:0.98774
[36m(train_xgb_ray_tune pid=2397110)[0m [588]	train-mlogloss:0.99464	validation-mlogloss:0.98763
[36m(train_xgb_ray_tune pid=2397110)[0m [589]	train-mlogloss:0.99446	validation-mlogloss:0.98748
[36m(train_xgb_ray_tune pid=2397110)[0m [590]	train-mlogloss:0.99423	validation-mlogloss:0.98723
[36m(train_xgb_ray_tune pid=2397110)[0m [591]	train-mlogloss:0.99409	validation-mlogloss:0.98710
[36m(train_xgb_ray_tune pid=2397110)[0m [592]	train-mlogloss:0.99397	validation-mlogloss:0.98696
[36m(train_xgb_ray_tune pid=2397104)[0m [498]	train-mlogloss:0.82189	validation-mlogloss:0.83394
[36m(train_xgb_ray_tune pid=2397104)[0m [499]	train-mlogloss:0.82162	validation-mlogloss:0.83368
[36m(train_xgb_ray_tune pid=2397104)[0m [500]	train-mlogloss:0.82142	validation-mlogloss:0.83348
[36m(train_xgb_ray_tune pid=2397104)[0m [501]	train-mlogloss:0.82120	validation-mlogloss:0.83330
[36m(train_xgb_ray_tune pid=2397104)[0m [502]	train-mlogloss:0.82092	validation-mlogloss:0.83302
[36m(train_xgb_ray_tune pid=2397117)[0m [532]	train-mlogloss:0.83069	validation-mlogloss:0.83106
[36m(train_xgb_ray_tune pid=2397117)[0m [533]	train-mlogloss:0.83064	validation-mlogloss:0.83100
[36m(train_xgb_ray_tune pid=2397117)[0m [534]	train-mlogloss:0.83058	validation-mlogloss:0.83093
[36m(train_xgb_ray_tune pid=2397117)[0m [535]	train-mlogloss:0.83033	validation-mlogloss:0.83067
[36m(train_xgb_ray_tune pid=2397117)[0m [536]	train-mlogloss:0.83024	validation-mlogloss:0.83056
[36m(train_xgb_ray_tune pid=2397117)[0m [537]	train-mlogloss:0.83008	validation-mlogloss:0.83041
[36m(train_xgb_ray_tune pid=2397117)[0m [538]	train-mlogloss:0.82999	validation-mlogloss:0.83032
[36m(train_xgb_ray_tune pid=2397117)[0m [539]	train-mlogloss:0.82993	validation-mlogloss:0.83025
[36m(train_xgb_ray_tune pid=2397117)[0m [540]	train-mlogloss:0.82985	validation-mlogloss:0.83018
[36m(train_xgb_ray_tune pid=2397117)[0m [541]	train-mlogloss:0.82973	validation-mlogloss:0.83011
[36m(train_xgb_ray_tune pid=2397117)[0m [542]	train-mlogloss:0.82952	validation-mlogloss:0.82993
[36m(train_xgb_ray_tune pid=2397117)[0m [543]	train-mlogloss:0.82943	validation-mlogloss:0.82983
[36m(train_xgb_ray_tune pid=2397117)[0m [544]	train-mlogloss:0.82932	validation-mlogloss:0.82971
[36m(train_xgb_ray_tune pid=2397117)[0m [545]	train-mlogloss:0.82917	validation-mlogloss:0.82958
[36m(train_xgb_ray_tune pid=2397117)[0m [546]	train-mlogloss:0.82897	validation-mlogloss:0.82937
[36m(train_xgb_ray_tune pid=2397117)[0m [547]	train-mlogloss:0.82877	validation-mlogloss:0.82915
[36m(train_xgb_ray_tune pid=2397117)[0m [548]	train-mlogloss:0.82864	validation-mlogloss:0.82905
[36m(train_xgb_ray_tune pid=2397117)[0m [549]	train-mlogloss:0.82858	validation-mlogloss:0.82901
[36m(train_xgb_ray_tune pid=2397117)[0m [550]	train-mlogloss:0.82851	validation-mlogloss:0.82895
[36m(train_xgb_ray_tune pid=2397117)[0m [551]	train-mlogloss:0.82840	validation-mlogloss:0.82888
[36m(train_xgb_ray_tune pid=2397117)[0m [552]	train-mlogloss:0.82829	validation-mlogloss:0.82877
[36m(train_xgb_ray_tune pid=2397117)[0m [553]	train-mlogloss:0.82815	validation-mlogloss:0.82862
[36m(train_xgb_ray_tune pid=2397117)[0m [554]	train-mlogloss:0.82808	validation-mlogloss:0.82854
[36m(train_xgb_ray_tune pid=2397117)[0m [555]	train-mlogloss:0.82794	validation-mlogloss:0.82839
[36m(train_xgb_ray_tune pid=2397116)[0m [650]	train-mlogloss:0.84688	validation-mlogloss:0.84015
[36m(train_xgb_ray_tune pid=2397116)[0m [651]	train-mlogloss:0.84688	validation-mlogloss:0.84015
[36m(train_xgb_ray_tune pid=2397116)[0m [652]	train-mlogloss:0.84683	validation-mlogloss:0.84007
[36m(train_xgb_ray_tune pid=2397116)[0m [653]	train-mlogloss:0.84678	validation-mlogloss:0.84000
[36m(train_xgb_ray_tune pid=2397116)[0m [654]	train-mlogloss:0.84678	validation-mlogloss:0.84000
[36m(train_xgb_ray_tune pid=2397116)[0m [655]	train-mlogloss:0.84673	validation-mlogloss:0.83994
[36m(train_xgb_ray_tune pid=2397116)[0m [656]	train-mlogloss:0.84673	validation-mlogloss:0.83994
[36m(train_xgb_ray_tune pid=2397116)[0m [657]	train-mlogloss:0.84673	validation-mlogloss:0.83994
[36m(train_xgb_ray_tune pid=2397116)[0m [658]	train-mlogloss:0.84668	validation-mlogloss:0.83988
[36m(train_xgb_ray_tune pid=2397116)[0m [659]	train-mlogloss:0.84668	validation-mlogloss:0.83989
[36m(train_xgb_ray_tune pid=2397116)[0m [660]	train-mlogloss:0.84668	validation-mlogloss:0.83988
[36m(train_xgb_ray_tune pid=2397116)[0m [661]	train-mlogloss:0.84668	validation-mlogloss:0.83989
[36m(train_xgb_ray_tune pid=2397116)[0m [662]	train-mlogloss:0.84668	validation-mlogloss:0.83988
[36m(train_xgb_ray_tune pid=2397116)[0m [663]	train-mlogloss:0.84663	validation-mlogloss:0.83984
[36m(train_xgb_ray_tune pid=2397116)[0m [664]	train-mlogloss:0.84663	validation-mlogloss:0.83984
[36m(train_xgb_ray_tune pid=2397116)[0m [665]	train-mlogloss:0.84663	validation-mlogloss:0.83984
[36m(train_xgb_ray_tune pid=2397116)[0m [666]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [667]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [668]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [669]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [670]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [671]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397116)[0m [672]	train-mlogloss:0.84657	validation-mlogloss:0.83976
[36m(train_xgb_ray_tune pid=2397110)[0m [593]	train-mlogloss:0.99383	validation-mlogloss:0.98682
[36m(train_xgb_ray_tune pid=2397117)[0m [556]	train-mlogloss:0.82782	validation-mlogloss:0.82826

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:41. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.0111 │
│ time_total_s                 10.0111 │
│ training_iteration                 1 │
│ validation_accuracy          0.66784 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:41. Total running time: 13s

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:41. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.95253 │
│ time_total_s                 9.95253 │
│ training_iteration                 1 │
│ validation_accuracy          0.63097 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:41. Total running time: 13s
[36m(train_xgb_ray_tune pid=2397110)[0m [594]	train-mlogloss:0.99374	validation-mlogloss:0.98672
[36m(train_xgb_ray_tune pid=2397110)[0m [595]	train-mlogloss:0.99364	validation-mlogloss:0.98662
[36m(train_xgb_ray_tune pid=2397110)[0m [596]	train-mlogloss:0.99350	validation-mlogloss:0.98648
[36m(train_xgb_ray_tune pid=2397110)[0m [597]	train-mlogloss:0.99330	validation-mlogloss:0.98626
[36m(train_xgb_ray_tune pid=2397110)[0m [598]	train-mlogloss:0.99320	validation-mlogloss:0.98616
[36m(train_xgb_ray_tune pid=2397110)[0m [599]	train-mlogloss:0.99307	validation-mlogloss:0.98605
[36m(train_xgb_ray_tune pid=2397110)[0m [600]	train-mlogloss:0.99290	validation-mlogloss:0.98591
[36m(train_xgb_ray_tune pid=2397110)[0m [601]	train-mlogloss:0.99280	validation-mlogloss:0.98582
[36m(train_xgb_ray_tune pid=2397110)[0m [602]	train-mlogloss:0.99267	validation-mlogloss:0.98568
[36m(train_xgb_ray_tune pid=2397110)[0m [603]	train-mlogloss:0.99249	validation-mlogloss:0.98549
[36m(train_xgb_ray_tune pid=2397110)[0m [604]	train-mlogloss:0.99233	validation-mlogloss:0.98535
[36m(train_xgb_ray_tune pid=2397110)[0m [605]	train-mlogloss:0.99220	validation-mlogloss:0.98520
[36m(train_xgb_ray_tune pid=2397110)[0m [606]	train-mlogloss:0.99210	validation-mlogloss:0.98510
[36m(train_xgb_ray_tune pid=2397110)[0m [607]	train-mlogloss:0.99197	validation-mlogloss:0.98497
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[36m(train_xgb_ray_tune pid=2397110)[0m [609]	train-mlogloss:0.99167	validation-mlogloss:0.98466
[36m(train_xgb_ray_tune pid=2397110)[0m [610]	train-mlogloss:0.99158	validation-mlogloss:0.98456
[36m(train_xgb_ray_tune pid=2397110)[0m [611]	train-mlogloss:0.99149	validation-mlogloss:0.98447
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[36m(train_xgb_ray_tune pid=2397110)[0m [613]	train-mlogloss:0.99128	validation-mlogloss:0.98424
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[36m(train_xgb_ray_tune pid=2397110)[0m [615]	train-mlogloss:0.99106	validation-mlogloss:0.98403
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[36m(train_xgb_ray_tune pid=2397110)[0m [617]	train-mlogloss:0.99079	validation-mlogloss:0.98375
[36m(train_xgb_ray_tune pid=2397110)[0m [618]	train-mlogloss:0.99066	validation-mlogloss:0.98365
[36m(train_xgb_ray_tune pid=2397110)[0m [619]	train-mlogloss:0.99053	validation-mlogloss:0.98352
[36m(train_xgb_ray_tune pid=2397117)[0m [557]	train-mlogloss:0.82765	validation-mlogloss:0.82807
[36m(train_xgb_ray_tune pid=2397117)[0m [558]	train-mlogloss:0.82754	validation-mlogloss:0.82795
[36m(train_xgb_ray_tune pid=2397117)[0m [559]	train-mlogloss:0.82748	validation-mlogloss:0.82789
[36m(train_xgb_ray_tune pid=2397117)[0m [560]	train-mlogloss:0.82731	validation-mlogloss:0.82772
[36m(train_xgb_ray_tune pid=2397117)[0m [561]	train-mlogloss:0.82717	validation-mlogloss:0.82760
[36m(train_xgb_ray_tune pid=2397117)[0m [562]	train-mlogloss:0.82709	validation-mlogloss:0.82752
[36m(train_xgb_ray_tune pid=2397117)[0m [563]	train-mlogloss:0.82701	validation-mlogloss:0.82742
[36m(train_xgb_ray_tune pid=2397117)[0m [564]	train-mlogloss:0.82694	validation-mlogloss:0.82736
[36m(train_xgb_ray_tune pid=2397117)[0m [565]	train-mlogloss:0.82680	validation-mlogloss:0.82723
[36m(train_xgb_ray_tune pid=2397117)[0m [566]	train-mlogloss:0.82661	validation-mlogloss:0.82702
[36m(train_xgb_ray_tune pid=2397117)[0m [567]	train-mlogloss:0.82656	validation-mlogloss:0.82696
[36m(train_xgb_ray_tune pid=2397117)[0m [568]	train-mlogloss:0.82650	validation-mlogloss:0.82693
[36m(train_xgb_ray_tune pid=2397117)[0m [569]	train-mlogloss:0.82644	validation-mlogloss:0.82687
[36m(train_xgb_ray_tune pid=2397117)[0m [570]	train-mlogloss:0.82639	validation-mlogloss:0.82681
[36m(train_xgb_ray_tune pid=2397117)[0m [571]	train-mlogloss:0.82626	validation-mlogloss:0.82666
[36m(train_xgb_ray_tune pid=2397117)[0m [572]	train-mlogloss:0.82621	validation-mlogloss:0.82660
[36m(train_xgb_ray_tune pid=2397117)[0m [573]	train-mlogloss:0.82605	validation-mlogloss:0.82646
[36m(train_xgb_ray_tune pid=2397117)[0m [574]	train-mlogloss:0.82600	validation-mlogloss:0.82643
[36m(train_xgb_ray_tune pid=2397117)[0m [575]	train-mlogloss:0.82590	validation-mlogloss:0.82631
[36m(train_xgb_ray_tune pid=2397117)[0m [576]	train-mlogloss:0.82576	validation-mlogloss:0.82616
[36m(train_xgb_ray_tune pid=2397117)[0m [577]	train-mlogloss:0.82568	validation-mlogloss:0.82609
[36m(train_xgb_ray_tune pid=2397117)[0m [578]	train-mlogloss:0.82552	validation-mlogloss:0.82591
[36m(train_xgb_ray_tune pid=2397117)[0m [579]	train-mlogloss:0.82546	validation-mlogloss:0.82586
[36m(train_xgb_ray_tune pid=2397117)[0m [580]	train-mlogloss:0.82541	validation-mlogloss:0.82583
[36m(train_xgb_ray_tune pid=2397117)[0m [581]	train-mlogloss:0.82536	validation-mlogloss:0.82578
[36m(train_xgb_ray_tune pid=2397117)[0m [582]	train-mlogloss:0.82530	validation-mlogloss:0.82571
[36m(train_xgb_ray_tune pid=2397110)[0m [620]	train-mlogloss:0.99044	validation-mlogloss:0.98343
[36m(train_xgb_ray_tune pid=2397110)[0m [621]	train-mlogloss:0.99035	validation-mlogloss:0.98333
[36m(train_xgb_ray_tune pid=2397110)[0m [622]	train-mlogloss:0.99023	validation-mlogloss:0.98321
[36m(train_xgb_ray_tune pid=2397110)[0m [623]	train-mlogloss:0.99010	validation-mlogloss:0.98311
[36m(train_xgb_ray_tune pid=2397110)[0m [624]	train-mlogloss:0.98998	validation-mlogloss:0.98298
[36m(train_xgb_ray_tune pid=2397110)[0m [625]	train-mlogloss:0.98981	validation-mlogloss:0.98278
[36m(train_xgb_ray_tune pid=2397110)[0m [626]	train-mlogloss:0.98968	validation-mlogloss:0.98265
[36m(train_xgb_ray_tune pid=2397110)[0m [627]	train-mlogloss:0.98956	validation-mlogloss:0.98254
[36m(train_xgb_ray_tune pid=2397110)[0m [628]	train-mlogloss:0.98943	validation-mlogloss:0.98241
[36m(train_xgb_ray_tune pid=2397110)[0m [629]	train-mlogloss:0.98930	validation-mlogloss:0.98228
[36m(train_xgb_ray_tune pid=2397110)[0m [630]	train-mlogloss:0.98914	validation-mlogloss:0.98215
[36m(train_xgb_ray_tune pid=2397110)[0m [631]	train-mlogloss:0.98900	validation-mlogloss:0.98201
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[36m(train_xgb_ray_tune pid=2397110)[0m [710]	train-mlogloss:0.98025	validation-mlogloss:0.97335
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[36m(train_xgb_ray_tune pid=2397110)[0m [712]	train-mlogloss:0.98007	validation-mlogloss:0.97321
[36m(train_xgb_ray_tune pid=2397110)[0m [713]	train-mlogloss:0.97996	validation-mlogloss:0.97310
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[36m(train_xgb_ray_tune pid=2397110)[0m [719]	train-mlogloss:0.97935	validation-mlogloss:0.97250
[36m(train_xgb_ray_tune pid=2397110)[0m [720]	train-mlogloss:0.97925	validation-mlogloss:0.97240
[36m(train_xgb_ray_tune pid=2397110)[0m [721]	train-mlogloss:0.97918	validation-mlogloss:0.97233
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[36m(train_xgb_ray_tune pid=2397110)[0m [729]	train-mlogloss:0.97842	validation-mlogloss:0.97163
[36m(train_xgb_ray_tune pid=2397117)[0m [672]	train-mlogloss:0.81942	validation-mlogloss:0.81966
[36m(train_xgb_ray_tune pid=2397117)[0m [673]	train-mlogloss:0.81938	validation-mlogloss:0.81963
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[36m(train_xgb_ray_tune pid=2397117)[0m [699]	train-mlogloss:0.81827	validation-mlogloss:0.81857
[36m(train_xgb_ray_tune pid=2397110)[0m [730]	train-mlogloss:0.97832	validation-mlogloss:0.97155
[36m(train_xgb_ray_tune pid=2397110)[0m [731]	train-mlogloss:0.97825	validation-mlogloss:0.97151
[36m(train_xgb_ray_tune pid=2397117)[0m [700]	train-mlogloss:0.81823	validation-mlogloss:0.81852
[36m(train_xgb_ray_tune pid=2397117)[0m [701]	train-mlogloss:0.81819	validation-mlogloss:0.81847
[36m(train_xgb_ray_tune pid=2397110)[0m [732]	train-mlogloss:0.97815	validation-mlogloss:0.97140
[36m(train_xgb_ray_tune pid=2397110)[0m [733]	train-mlogloss:0.97805	validation-mlogloss:0.97130
[36m(train_xgb_ray_tune pid=2397110)[0m [734]	train-mlogloss:0.97786	validation-mlogloss:0.97113
[36m(train_xgb_ray_tune pid=2397110)[0m [735]	train-mlogloss:0.97779	validation-mlogloss:0.97105
[36m(train_xgb_ray_tune pid=2397110)[0m [736]	train-mlogloss:0.97769	validation-mlogloss:0.97095
[36m(train_xgb_ray_tune pid=2397110)[0m [737]	train-mlogloss:0.97758	validation-mlogloss:0.97085
[36m(train_xgb_ray_tune pid=2397110)[0m [738]	train-mlogloss:0.97748	validation-mlogloss:0.97075
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[36m(train_xgb_ray_tune pid=2397110)[0m [740]	train-mlogloss:0.97734	validation-mlogloss:0.97061
[36m(train_xgb_ray_tune pid=2397110)[0m [741]	train-mlogloss:0.97727	validation-mlogloss:0.97053
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[36m(train_xgb_ray_tune pid=2397110)[0m [745]	train-mlogloss:0.97690	validation-mlogloss:0.97018
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[36m(train_xgb_ray_tune pid=2397110)[0m [748]	train-mlogloss:0.97666	validation-mlogloss:0.96995
[36m(train_xgb_ray_tune pid=2397110)[0m [749]	train-mlogloss:0.97657	validation-mlogloss:0.96986
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[36m(train_xgb_ray_tune pid=2397110)[0m [751]	train-mlogloss:0.97636	validation-mlogloss:0.96966
[36m(train_xgb_ray_tune pid=2397110)[0m [752]	train-mlogloss:0.97627	validation-mlogloss:0.96956
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[36m(train_xgb_ray_tune pid=2397110)[0m [755]	train-mlogloss:0.97604	validation-mlogloss:0.96936
[36m(train_xgb_ray_tune pid=2397110)[0m [756]	train-mlogloss:0.97597	validation-mlogloss:0.96929
[36m(train_xgb_ray_tune pid=2397110)[0m [757]	train-mlogloss:0.97590	validation-mlogloss:0.96923
[36m(train_xgb_ray_tune pid=2397117)[0m [702]	train-mlogloss:0.81815	validation-mlogloss:0.81844
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[36m(train_xgb_ray_tune pid=2397117)[0m [704]	train-mlogloss:0.81808	validation-mlogloss:0.81834
[36m(train_xgb_ray_tune pid=2397117)[0m [705]	train-mlogloss:0.81802	validation-mlogloss:0.81829
[36m(train_xgb_ray_tune pid=2397117)[0m [706]	train-mlogloss:0.81798	validation-mlogloss:0.81825
[36m(train_xgb_ray_tune pid=2397117)[0m [707]	train-mlogloss:0.81794	validation-mlogloss:0.81821
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[36m(train_xgb_ray_tune pid=2397117)[0m [713]	train-mlogloss:0.81772	validation-mlogloss:0.81795
[36m(train_xgb_ray_tune pid=2397117)[0m [714]	train-mlogloss:0.81769	validation-mlogloss:0.81790
[36m(train_xgb_ray_tune pid=2397117)[0m [715]	train-mlogloss:0.81760	validation-mlogloss:0.81781
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[36m(train_xgb_ray_tune pid=2397117)[0m [717]	train-mlogloss:0.81748	validation-mlogloss:0.81771
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[36m(train_xgb_ray_tune pid=2397117)[0m [720]	train-mlogloss:0.81725	validation-mlogloss:0.81746
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[36m(train_xgb_ray_tune pid=2397117)[0m [723]	train-mlogloss:0.81705	validation-mlogloss:0.81725
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[36m(train_xgb_ray_tune pid=2397117)[0m [728]	train-mlogloss:0.81687	validation-mlogloss:0.81707
[36m(train_xgb_ray_tune pid=2397117)[0m [729]	train-mlogloss:0.81681	validation-mlogloss:0.81701
[36m(train_xgb_ray_tune pid=2397110)[0m [758]	train-mlogloss:0.97584	validation-mlogloss:0.96917
[36m(train_xgb_ray_tune pid=2397117)[0m [730]	train-mlogloss:0.81678	validation-mlogloss:0.81700
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[36m(train_xgb_ray_tune pid=2397117)[0m [737]	train-mlogloss:0.81652	validation-mlogloss:0.81675
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[36m(train_xgb_ray_tune pid=2397117)[0m [744]	train-mlogloss:0.81623	validation-mlogloss:0.81647
[36m(train_xgb_ray_tune pid=2397117)[0m [745]	train-mlogloss:0.81619	validation-mlogloss:0.81643
[36m(train_xgb_ray_tune pid=2397117)[0m [746]	train-mlogloss:0.81616	validation-mlogloss:0.81639
[36m(train_xgb_ray_tune pid=2397117)[0m [747]	train-mlogloss:0.81612	validation-mlogloss:0.81635
[36m(train_xgb_ray_tune pid=2397117)[0m [748]	train-mlogloss:0.81609	validation-mlogloss:0.81632
[36m(train_xgb_ray_tune pid=2397117)[0m [749]	train-mlogloss:0.81603	validation-mlogloss:0.81630
[36m(train_xgb_ray_tune pid=2397117)[0m [750]	train-mlogloss:0.81600	validation-mlogloss:0.81626
[36m(train_xgb_ray_tune pid=2397117)[0m [751]	train-mlogloss:0.81585	validation-mlogloss:0.81611
[36m(train_xgb_ray_tune pid=2397117)[0m [752]	train-mlogloss:0.81581	validation-mlogloss:0.81607
[36m(train_xgb_ray_tune pid=2397117)[0m [753]	train-mlogloss:0.81569	validation-mlogloss:0.81595
[36m(train_xgb_ray_tune pid=2397117)[0m [754]	train-mlogloss:0.81566	validation-mlogloss:0.81592
[36m(train_xgb_ray_tune pid=2397117)[0m [755]	train-mlogloss:0.81562	validation-mlogloss:0.81589
[36m(train_xgb_ray_tune pid=2397117)[0m [756]	train-mlogloss:0.81558	validation-mlogloss:0.81584
2025-11-07 10:37:42,108	INFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_C/case_C_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning' in 0.0162s.
[36m(train_xgb_ray_tune pid=2397117)[0m [757]	train-mlogloss:0.81555	validation-mlogloss:0.81581
[36m(train_xgb_ray_tune pid=2397117)[0m [758]	train-mlogloss:0.81549	validation-mlogloss:0.81576
[36m(train_xgb_ray_tune pid=2397117)[0m [759]	train-mlogloss:0.81546	validation-mlogloss:0.81573
[36m(train_xgb_ray_tune pid=2397117)[0m [760]	train-mlogloss:0.81542	validation-mlogloss:0.81569

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:41. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.7546 │
│ time_total_s                 10.7546 │
│ training_iteration                 1 │
│ validation_accuracy           0.6236 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:41. Total running time: 13s
[36m(train_xgb_ray_tune pid=2397117)[0m [761]	train-mlogloss:0.81535	validation-mlogloss:0.81564
[36m(train_xgb_ray_tune pid=2397117)[0m [762]	train-mlogloss:0.81532	validation-mlogloss:0.81560
[36m(train_xgb_ray_tune pid=2397117)[0m [763]	train-mlogloss:0.81529	validation-mlogloss:0.81556
[36m(train_xgb_ray_tune pid=2397117)[0m [764]	train-mlogloss:0.81526	validation-mlogloss:0.81552
[36m(train_xgb_ray_tune pid=2397117)[0m [765]	train-mlogloss:0.81522	validation-mlogloss:0.81548
[36m(train_xgb_ray_tune pid=2397117)[0m [766]	train-mlogloss:0.81519	validation-mlogloss:0.81544
[36m(train_xgb_ray_tune pid=2397117)[0m [767]	train-mlogloss:0.81510	validation-mlogloss:0.81536
[36m(train_xgb_ray_tune pid=2397117)[0m [768]	train-mlogloss:0.81507	validation-mlogloss:0.81533
[36m(train_xgb_ray_tune pid=2397117)[0m [769]	train-mlogloss:0.81503	validation-mlogloss:0.81532
[36m(train_xgb_ray_tune pid=2397117)[0m [770]	train-mlogloss:0.81500	validation-mlogloss:0.81528
[36m(train_xgb_ray_tune pid=2397117)[0m [771]	train-mlogloss:0.81496	validation-mlogloss:0.81524
[36m(train_xgb_ray_tune pid=2397117)[0m [772]	train-mlogloss:0.81493	validation-mlogloss:0.81520
[36m(train_xgb_ray_tune pid=2397117)[0m [773]	train-mlogloss:0.81487	validation-mlogloss:0.81514
[36m(train_xgb_ray_tune pid=2397117)[0m [774]	train-mlogloss:0.81484	validation-mlogloss:0.81512
[36m(train_xgb_ray_tune pid=2397117)[0m [775]	train-mlogloss:0.81481	validation-mlogloss:0.81508
[36m(train_xgb_ray_tune pid=2397117)[0m [776]	train-mlogloss:0.81478	validation-mlogloss:0.81504
[36m(train_xgb_ray_tune pid=2397117)[0m [777]	train-mlogloss:0.81472	validation-mlogloss:0.81497

Trial trial_5fd95 finished iteration 1 at 2025-11-07 10:37:42. Total running time: 14s
╭──────────────────────────────────────╮
│ Trial trial_5fd95 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.9542 │
│ time_total_s                 10.9542 │
│ training_iteration                 1 │
│ validation_accuracy          0.66011 │
╰──────────────────────────────────────╯

Trial trial_5fd95 completed after 1 iterations at 2025-11-07 10:37:42. Total running time: 14s

Trial status: 20 TERMINATED
Current time: 2025-11-07 10:37:42. Total running time: 14s
Logical resource usage: 1.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         num_boost_round     max_depth     learning_rate     subsample     colsample_bytree      gamma     min_child_weight     reg_alpha     reg_lambda     random_state     iter     total time (s)     validation_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_5fd95    TERMINATED                 281             3        0.011498        0.680629             0.747094   22.9662                    58       9.0561        42.6187              9361        1            7.96514                0.661166 │
│ trial_5fd95    TERMINATED                 377             3        0.0163183       0.718144             0.792861    6.81871                  147     234.491         84.559               5431        1            8.35527                0.630267 │
│ trial_5fd95    TERMINATED                 503             3        0.00786478      0.770042             0.619079   17.8275                    71       1.83174      241.25                7971        1           10.0111                 0.667837 │
│ trial_5fd95    TERMINATED                 515             2        0.010348        0.617843             0.629482   26.0083                   183      46.7915       186.36                4150        1            9.19409                0.620787 │
│ trial_5fd95    TERMINATED                 321             3        0.00846564      0.781588             0.673947   14.2977                   135       6.1327       148.036                323        1            8.38819                0.665379 │
│ trial_5fd95    TERMINATED                 644             3        0.0084981       0.659095             0.78928    20.5637                    57     493.573         30.4026              8519        1            9.25759                0.444171 │
│ trial_5fd95    TERMINATED                 425             3        0.0123061       0.747366             0.60546    19.5826                    68      56.3759       286.224               4987        1            8.95048                0.650281 │
│ trial_5fd95    TERMINATED                 686             2        0.00518609      0.775168             0.560468   29.1092                   131     448.896          7.04957             2019        1            9.91446                0.533708 │
│ trial_5fd95    TERMINATED                 218             2        0.010918        0.646512             0.647904   11.3263                    91     126.328        665.495               3368        1            7.08748                0.605337 │
│ trial_5fd95    TERMINATED                 492             3        0.00822957      0.521535             0.769159   13.1611                   149      30.5152       149.054               2059        1            9.75195                0.655197 │
│ trial_5fd95    TERMINATED                 759             3        0.00580413      0.580151             0.771038   21.126                    144     114.103        127.9                 6401        1           10.7546                 0.623596 │
│ trial_5fd95    TERMINATED                 420             3        0.00763529      0.824739             0.5674      9.71208                  171       6.77669       41.0037               780        1            9.3736                 0.674508 │
│ trial_5fd95    TERMINATED                 331             2        0.0192744       0.622759             0.692704   26.5716                    64       7.64788      600.815               8297        1            7.90572                0.620787 │
│ trial_5fd95    TERMINATED                 402             3        0.0134491       0.581908             0.643076    7.90818                  145       4.30569      990.61                1135        1            9.31128                0.640098 │
│ trial_5fd95    TERMINATED                 351             3        0.00564377      0.697152             0.604937   15.7713                   196     661.287          6.24177              677        1            7.72419                0.444874 │
│ trial_5fd95    TERMINATED                 224             3        0.0166761       0.765505             0.816218   19.8747                   147       9.59551       42.8706              2096        1            7.51829                0.671348 │
│ trial_5fd95    TERMINATED                 483             3        0.0108328       0.82069              0.627123   16.0053                    70     464.251        599.629               7772        1            8.79652                0.575492 │
│ trial_5fd95    TERMINATED                 673             2        0.0187443       0.542524             0.749029   17.1649                    96       2.8971       477.371               9306        1            9.95253                0.630969 │
│ trial_5fd95    TERMINATED                 581             2        0.0186869       0.660209             0.755025   17.7383                   130       5.13309        6.17487             1801        1            9.60408                0.669593 │
│ trial_5fd95    TERMINATED                 778             3        0.00964987      0.60782              0.617102   14.084                    138      21.5309       199.407               7100        1           10.9542                 0.660112 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Mejores hiperparámetros XGBoost: {'num_boost_round': 420, 'max_depth': 3, 'learning_rate': 0.0076352874834214116, 'subsample': 0.8247392018236993, 'colsample_bytree': 0.5674003244579177, 'gamma': 9.712079281997758, 'min_child_weight': 171, 'reg_alpha': 6.7766884665498734, 'reg_lambda': 41.00371929819084, 'random_state': 780}
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[417]	train-mlogloss:0.79820	validation-mlogloss:0.81126
[418]	train-mlogloss:0.79784	validation-mlogloss:0.81092
[419]	train-mlogloss:0.79744	validation-mlogloss:0.81056
Saved model to disk.
[36m(train_xgb_ray_tune pid=2397117)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=2397117)[0m   _log_deprecation_warning([32m [repeated 19x across cluster][0m
2025-11-07 10:37:52.595091: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:37:52.606471: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508272.620215 2398785 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508272.624325 2398785 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508272.634803 2398785 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508272.634822 2398785 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508272.634824 2398785 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508272.634825 2398785 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:37:52.637965: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
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[339]	train-mlogloss:0.83947	validation-mlogloss:0.84206
[340]	train-mlogloss:0.83895	validation-mlogloss:0.84156
[341]	train-mlogloss:0.83833	validation-mlogloss:0.84099
[342]	train-mlogloss:0.83785	validation-mlogloss:0.84053
[343]	train-mlogloss:0.83734	validation-mlogloss:0.84010
[344]	train-mlogloss:0.83680	validation-mlogloss:0.83953
[345]	train-mlogloss:0.83626	validation-mlogloss:0.83903
[346]	train-mlogloss:0.83584	validation-mlogloss:0.83864
[347]	train-mlogloss:0.83532	validation-mlogloss:0.83812
[348]	train-mlogloss:0.83474	validation-mlogloss:0.83750
[349]	train-mlogloss:0.83420	validation-mlogloss:0.83701
[350]	train-mlogloss:0.83370	validation-mlogloss:0.83654
[351]	train-mlogloss:0.83331	validation-mlogloss:0.83608
[352]	train-mlogloss:0.83292	validation-mlogloss:0.83567
[353]	train-mlogloss:0.83236	validation-mlogloss:0.83515
[354]	train-mlogloss:0.83177	validation-mlogloss:0.83457
[355]	train-mlogloss:0.83131	validation-mlogloss:0.83411
[356]	train-mlogloss:0.83086	validation-mlogloss:0.83369
[357]	train-mlogloss:0.83034	validation-mlogloss:0.83321
[358]	train-mlogloss:0.82978	validation-mlogloss:0.83268
[359]	train-mlogloss:0.82933	validation-mlogloss:0.83227
[360]	train-mlogloss:0.82886	validation-mlogloss:0.83182
[361]	train-mlogloss:0.82833	validation-mlogloss:0.83131
[362]	train-mlogloss:0.82791	validation-mlogloss:0.83084
[363]	train-mlogloss:0.82746	validation-mlogloss:0.83046
[364]	train-mlogloss:0.82700	validation-mlogloss:0.82999
[365]	train-mlogloss:0.82652	validation-mlogloss:0.82952
[366]	train-mlogloss:0.82612	validation-mlogloss:0.82918
[367]	train-mlogloss:0.82554	validation-mlogloss:0.82857
[368]	train-mlogloss:0.82510	validation-mlogloss:0.82818
[369]	train-mlogloss:0.82467	validation-mlogloss:0.82783
[370]	train-mlogloss:0.82418	validation-mlogloss:0.82740
[371]	train-mlogloss:0.82379	validation-mlogloss:0.82711
[372]	train-mlogloss:0.82339	validation-mlogloss:0.82675
[373]	train-mlogloss:0.82298	validation-mlogloss:0.82629
[374]	train-mlogloss:0.82251	validation-mlogloss:0.82582
[375]	train-mlogloss:0.82212	validation-mlogloss:0.82540
[376]	train-mlogloss:0.82163	validation-mlogloss:0.82494
[377]	train-mlogloss:0.82118	validation-mlogloss:0.82452
[378]	train-mlogloss:0.82071	validation-mlogloss:0.82402
[379]	train-mlogloss:0.82023	validation-mlogloss:0.82344
[380]	train-mlogloss:0.81976	validation-mlogloss:0.82303
[381]	train-mlogloss:0.81934	validation-mlogloss:0.82265
[382]	train-mlogloss:0.81895	validation-mlogloss:0.82225
[383]	train-mlogloss:0.81850	validation-mlogloss:0.82184
[384]	train-mlogloss:0.81803	validation-mlogloss:0.82134
[385]	train-mlogloss:0.81764	validation-mlogloss:0.82100
[386]	train-mlogloss:0.81717	validation-mlogloss:0.82056
[387]	train-mlogloss:0.81673	validation-mlogloss:0.82012
[388]	train-mlogloss:0.81629	validation-mlogloss:0.81972
[389]	train-mlogloss:0.81588	validation-mlogloss:0.81933
[390]	train-mlogloss:0.81543	validation-mlogloss:0.81896
[391]	train-mlogloss:0.81506	validation-mlogloss:0.81860
[392]	train-mlogloss:0.81459	validation-mlogloss:0.81813
[393]	train-mlogloss:0.81413	validation-mlogloss:0.81768
[394]	train-mlogloss:0.81362	validation-mlogloss:0.81722
[395]	train-mlogloss:0.81309	validation-mlogloss:0.81672
[396]	train-mlogloss:0.81263	validation-mlogloss:0.81624
[397]	train-mlogloss:0.81220	validation-mlogloss:0.81579
[398]	train-mlogloss:0.81175	validation-mlogloss:0.81535
[399]	train-mlogloss:0.81138	validation-mlogloss:0.81501
[400]	train-mlogloss:0.81098	validation-mlogloss:0.81466
[401]	train-mlogloss:0.81056	validation-mlogloss:0.81427
[402]	train-mlogloss:0.81013	validation-mlogloss:0.81385
[403]	train-mlogloss:0.80961	validation-mlogloss:0.81335
[404]	train-mlogloss:0.80911	validation-mlogloss:0.81294
[405]	train-mlogloss:0.80875	validation-mlogloss:0.81256
[406]	train-mlogloss:0.80832	validation-mlogloss:0.81225
[407]	train-mlogloss:0.80785	validation-mlogloss:0.81178
[408]	train-mlogloss:0.80743	validation-mlogloss:0.81136
[409]	train-mlogloss:0.80703	validation-mlogloss:0.81096
[410]	train-mlogloss:0.80660	validation-mlogloss:0.81056
[411]	train-mlogloss:0.80616	validation-mlogloss:0.81011
[412]	train-mlogloss:0.80575	validation-mlogloss:0.80967
[413]	train-mlogloss:0.80534	validation-mlogloss:0.80932
[414]	train-mlogloss:0.80495	validation-mlogloss:0.80895
[415]	train-mlogloss:0.80458	validation-mlogloss:0.80865
[416]	train-mlogloss:0.80422	validation-mlogloss:0.80829
[417]	train-mlogloss:0.80386	validation-mlogloss:0.80801
[418]	train-mlogloss:0.80351	validation-mlogloss:0.80771
[419]	train-mlogloss:0.80321	validation-mlogloss:0.80744
Saved model to disk.

=== EJECUCIÓN 1 ===

--- TRAIN (ejecución 1) ---

--- TEST (ejecución 1) ---
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.28 [%]
Global accuracy score (test) = 68.61 [%]
Global F1 score (train) = 68.99 [%]
Global F1 score (test) = 68.6 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.39      0.47       400
MODERATE-INTENSITY       0.53      0.81      0.64       400
         SEDENTARY       0.83      0.84      0.84       400
VIGOROUS-INTENSITY       0.91      0.71      0.80       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.71      0.69      0.68      1545


Accuracy capturado en la ejecución 1: 68.61 [%]
F1-score capturado en la ejecución 1: 68.6 [%]

=== EJECUCIÓN 2 ===

--- TRAIN (ejecución 2) ---

--- TEST (ejecución 2) ---
2025-11-07 10:38:04.346372: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:38:04.357674: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508284.370709 2399060 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508284.374860 2399060 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508284.384574 2399060 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508284.384592 2399060 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508284.384594 2399060 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508284.384595 2399060 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:38:04.387789: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38183	validation-mlogloss:1.38177
[1]	train-mlogloss:1.37744	validation-mlogloss:1.37750
[2]	train-mlogloss:1.37316	validation-mlogloss:1.37333
[3]	train-mlogloss:1.36905	validation-mlogloss:1.36926
[4]	train-mlogloss:1.36494	validation-mlogloss:1.36507
[5]	train-mlogloss:1.36074	validation-mlogloss:1.36083
[6]	train-mlogloss:1.35664	validation-mlogloss:1.35701
[7]	train-mlogloss:1.35222	validation-mlogloss:1.35263
[8]	train-mlogloss:1.34821	validation-mlogloss:1.34838
[9]	train-mlogloss:1.34426	validation-mlogloss:1.34455
[10]	train-mlogloss:1.34033	validation-mlogloss:1.34047
[11]	train-mlogloss:1.33644	validation-mlogloss:1.33655
[12]	train-mlogloss:1.33244	validation-mlogloss:1.33261
[13]	train-mlogloss:1.32852	validation-mlogloss:1.32864
[14]	train-mlogloss:1.32471	validation-mlogloss:1.32479
[15]	train-mlogloss:1.32110	validation-mlogloss:1.32121
[16]	train-mlogloss:1.31736	validation-mlogloss:1.31735
[17]	train-mlogloss:1.31372	validation-mlogloss:1.31363
[18]	train-mlogloss:1.30991	validation-mlogloss:1.30972
[19]	train-mlogloss:1.30633	validation-mlogloss:1.30610
[20]	train-mlogloss:1.30267	validation-mlogloss:1.30242
[21]	train-mlogloss:1.29909	validation-mlogloss:1.29880
[22]	train-mlogloss:1.29554	validation-mlogloss:1.29513
[23]	train-mlogloss:1.29203	validation-mlogloss:1.29161
[24]	train-mlogloss:1.28850	validation-mlogloss:1.28790
[25]	train-mlogloss:1.28503	validation-mlogloss:1.28434
[26]	train-mlogloss:1.28154	validation-mlogloss:1.28079
[27]	train-mlogloss:1.27808	validation-mlogloss:1.27721
[28]	train-mlogloss:1.27474	validation-mlogloss:1.27371
[29]	train-mlogloss:1.27143	validation-mlogloss:1.27022
[30]	train-mlogloss:1.26811	validation-mlogloss:1.26676
[31]	train-mlogloss:1.26485	validation-mlogloss:1.26344
[32]	train-mlogloss:1.26162	validation-mlogloss:1.26014
[33]	train-mlogloss:1.25838	validation-mlogloss:1.25693
[34]	train-mlogloss:1.25528	validation-mlogloss:1.25382
[35]	train-mlogloss:1.25227	validation-mlogloss:1.25074
[36]	train-mlogloss:1.24916	validation-mlogloss:1.24760
[37]	train-mlogloss:1.24609	validation-mlogloss:1.24452
[38]	train-mlogloss:1.24304	validation-mlogloss:1.24125
[39]	train-mlogloss:1.24010	validation-mlogloss:1.23821
[40]	train-mlogloss:1.23711	validation-mlogloss:1.23520
[41]	train-mlogloss:1.23410	validation-mlogloss:1.23223
[42]	train-mlogloss:1.23112	validation-mlogloss:1.22912
[43]	train-mlogloss:1.22814	validation-mlogloss:1.22611
[44]	train-mlogloss:1.22530	validation-mlogloss:1.22332
[45]	train-mlogloss:1.22244	validation-mlogloss:1.22035
[46]	train-mlogloss:1.21960	validation-mlogloss:1.21746
[47]	train-mlogloss:1.21664	validation-mlogloss:1.21446
[48]	train-mlogloss:1.21380	validation-mlogloss:1.21166
[49]	train-mlogloss:1.21104	validation-mlogloss:1.20879
[50]	train-mlogloss:1.20835	validation-mlogloss:1.20607
[51]	train-mlogloss:1.20563	validation-mlogloss:1.20327
[52]	train-mlogloss:1.20263	validation-mlogloss:1.20040
[53]	train-mlogloss:1.19998	validation-mlogloss:1.19766
[54]	train-mlogloss:1.19720	validation-mlogloss:1.19495
[55]	train-mlogloss:1.19451	validation-mlogloss:1.19240
[56]	train-mlogloss:1.19189	validation-mlogloss:1.18962
[57]	train-mlogloss:1.18934	validation-mlogloss:1.18708
[58]	train-mlogloss:1.18681	validation-mlogloss:1.18442
[59]	train-mlogloss:1.18424	validation-mlogloss:1.18177
[60]	train-mlogloss:1.18167	validation-mlogloss:1.17907
[61]	train-mlogloss:1.17922	validation-mlogloss:1.17652
[62]	train-mlogloss:1.17670	validation-mlogloss:1.17386
[63]	train-mlogloss:1.17424	validation-mlogloss:1.17133
[64]	train-mlogloss:1.17175	validation-mlogloss:1.16883
[65]	train-mlogloss:1.16929	validation-mlogloss:1.16622
[66]	train-mlogloss:1.16689	validation-mlogloss:1.16392
[67]	train-mlogloss:1.16446	validation-mlogloss:1.16141
[68]	train-mlogloss:1.16207	validation-mlogloss:1.15887
[69]	train-mlogloss:1.15967	validation-mlogloss:1.15642
[70]	train-mlogloss:1.15729	validation-mlogloss:1.15400
[71]	train-mlogloss:1.15494	validation-mlogloss:1.15157
[72]	train-mlogloss:1.15234	validation-mlogloss:1.14900
[73]	train-mlogloss:1.15009	validation-mlogloss:1.14657
[74]	train-mlogloss:1.14788	validation-mlogloss:1.14426
[75]	train-mlogloss:1.14560	validation-mlogloss:1.14186
[76]	train-mlogloss:1.14322	validation-mlogloss:1.13931
[77]	train-mlogloss:1.14079	validation-mlogloss:1.13705
[78]	train-mlogloss:1.13860	validation-mlogloss:1.13494
[79]	train-mlogloss:1.13635	validation-mlogloss:1.13255
[80]	train-mlogloss:1.13401	validation-mlogloss:1.13031
[81]	train-mlogloss:1.13184	validation-mlogloss:1.12812
[82]	train-mlogloss:1.12971	validation-mlogloss:1.12599
[83]	train-mlogloss:1.12761	validation-mlogloss:1.12384
[84]	train-mlogloss:1.12556	validation-mlogloss:1.12180
[85]	train-mlogloss:1.12344	validation-mlogloss:1.11964
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[384]	train-mlogloss:0.82023	validation-mlogloss:0.81539
[385]	train-mlogloss:0.81974	validation-mlogloss:0.81490
[386]	train-mlogloss:0.81926	validation-mlogloss:0.81453
[387]	train-mlogloss:0.81873	validation-mlogloss:0.81401
[388]	train-mlogloss:0.81830	validation-mlogloss:0.81361
[389]	train-mlogloss:0.81781	validation-mlogloss:0.81314
[390]	train-mlogloss:0.81736	validation-mlogloss:0.81277
[391]	train-mlogloss:0.81690	validation-mlogloss:0.81228
[392]	train-mlogloss:0.81644	validation-mlogloss:0.81197
[393]	train-mlogloss:0.81595	validation-mlogloss:0.81150
[394]	train-mlogloss:0.81549	validation-mlogloss:0.81111
[395]	train-mlogloss:0.81505	validation-mlogloss:0.81070
[396]	train-mlogloss:0.81462	validation-mlogloss:0.81029
[397]	train-mlogloss:0.81421	validation-mlogloss:0.80996
[398]	train-mlogloss:0.81376	validation-mlogloss:0.80957
[399]	train-mlogloss:0.81335	validation-mlogloss:0.80924
[400]	train-mlogloss:0.81297	validation-mlogloss:0.80888
[401]	train-mlogloss:0.81259	validation-mlogloss:0.80846
[402]	train-mlogloss:0.81212	validation-mlogloss:0.80804
[403]	train-mlogloss:0.81172	validation-mlogloss:0.80765
[404]	train-mlogloss:0.81137	validation-mlogloss:0.80729
[405]	train-mlogloss:0.81090	validation-mlogloss:0.80687
[406]	train-mlogloss:0.81051	validation-mlogloss:0.80655
[407]	train-mlogloss:0.81012	validation-mlogloss:0.80612
[408]	train-mlogloss:0.80968	validation-mlogloss:0.80575
[409]	train-mlogloss:0.80929	validation-mlogloss:0.80540
[410]	train-mlogloss:0.80889	validation-mlogloss:0.80504
[411]	train-mlogloss:0.80849	validation-mlogloss:0.80467
[412]	train-mlogloss:0.80802	validation-mlogloss:0.80422
[413]	train-mlogloss:0.80757	validation-mlogloss:0.80375
[414]	train-mlogloss:0.80717	validation-mlogloss:0.80332
[415]	train-mlogloss:0.80680	validation-mlogloss:0.80294
[416]	train-mlogloss:0.80645	validation-mlogloss:0.80260
[417]	train-mlogloss:0.80607	validation-mlogloss:0.80224
[418]	train-mlogloss:0.80571	validation-mlogloss:0.80188
[419]	train-mlogloss:0.80538	validation-mlogloss:0.80162
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.12 [%]
Global accuracy score (test) = 67.51 [%]
Global F1 score (train) = 68.73 [%]
Global F1 score (test) = 67.28 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.57      0.34      0.43       400
MODERATE-INTENSITY       0.52      0.81      0.63       400
         SEDENTARY       0.83      0.84      0.83       400
VIGOROUS-INTENSITY       0.91      0.71      0.80       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 2: 67.51 [%]
F1-score capturado en la ejecución 2: 67.28 [%]

=== EJECUCIÓN 3 ===

--- TRAIN (ejecución 3) ---

--- TEST (ejecución 3) ---
2025-11-07 10:38:15.979973: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:38:15.991114: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508296.004440 2399315 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508296.008563 2399315 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508296.018417 2399315 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508296.018436 2399315 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508296.018438 2399315 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508296.018440 2399315 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:38:16.021394: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38195	validation-mlogloss:1.38195
[1]	train-mlogloss:1.37761	validation-mlogloss:1.37765
[2]	train-mlogloss:1.37335	validation-mlogloss:1.37325
[3]	train-mlogloss:1.36906	validation-mlogloss:1.36893
[4]	train-mlogloss:1.36494	validation-mlogloss:1.36502
[5]	train-mlogloss:1.36074	validation-mlogloss:1.36079
[6]	train-mlogloss:1.35665	validation-mlogloss:1.35660
[7]	train-mlogloss:1.35248	validation-mlogloss:1.35245
[8]	train-mlogloss:1.34832	validation-mlogloss:1.34835
[9]	train-mlogloss:1.34405	validation-mlogloss:1.34418
[10]	train-mlogloss:1.34007	validation-mlogloss:1.34027
[11]	train-mlogloss:1.33616	validation-mlogloss:1.33636
[12]	train-mlogloss:1.33244	validation-mlogloss:1.33276
[13]	train-mlogloss:1.32859	validation-mlogloss:1.32888
[14]	train-mlogloss:1.32478	validation-mlogloss:1.32533
[15]	train-mlogloss:1.32115	validation-mlogloss:1.32162
[16]	train-mlogloss:1.31740	validation-mlogloss:1.31812
[17]	train-mlogloss:1.31371	validation-mlogloss:1.31441
[18]	train-mlogloss:1.31006	validation-mlogloss:1.31081
[19]	train-mlogloss:1.30639	validation-mlogloss:1.30713
[20]	train-mlogloss:1.30269	validation-mlogloss:1.30331
[21]	train-mlogloss:1.29920	validation-mlogloss:1.29985
[22]	train-mlogloss:1.29567	validation-mlogloss:1.29624
[23]	train-mlogloss:1.29221	validation-mlogloss:1.29268
[24]	train-mlogloss:1.28831	validation-mlogloss:1.28894
[25]	train-mlogloss:1.28486	validation-mlogloss:1.28546
[26]	train-mlogloss:1.28148	validation-mlogloss:1.28223
[27]	train-mlogloss:1.27809	validation-mlogloss:1.27879
[28]	train-mlogloss:1.27477	validation-mlogloss:1.27547
[29]	train-mlogloss:1.27144	validation-mlogloss:1.27228
[30]	train-mlogloss:1.26813	validation-mlogloss:1.26886
[31]	train-mlogloss:1.26484	validation-mlogloss:1.26560
[32]	train-mlogloss:1.26164	validation-mlogloss:1.26228
[33]	train-mlogloss:1.25809	validation-mlogloss:1.25879
[34]	train-mlogloss:1.25496	validation-mlogloss:1.25579
[35]	train-mlogloss:1.25186	validation-mlogloss:1.25274
[36]	train-mlogloss:1.24868	validation-mlogloss:1.24951
[37]	train-mlogloss:1.24564	validation-mlogloss:1.24623
[38]	train-mlogloss:1.24256	validation-mlogloss:1.24308
[39]	train-mlogloss:1.23955	validation-mlogloss:1.23996
[40]	train-mlogloss:1.23658	validation-mlogloss:1.23688
[41]	train-mlogloss:1.23359	validation-mlogloss:1.23381
[42]	train-mlogloss:1.23065	validation-mlogloss:1.23096
[43]	train-mlogloss:1.22764	validation-mlogloss:1.22786
[44]	train-mlogloss:1.22476	validation-mlogloss:1.22502
[45]	train-mlogloss:1.22156	validation-mlogloss:1.22193
[46]	train-mlogloss:1.21871	validation-mlogloss:1.21900
[47]	train-mlogloss:1.21588	validation-mlogloss:1.21609
[48]	train-mlogloss:1.21308	validation-mlogloss:1.21331
[49]	train-mlogloss:1.21023	validation-mlogloss:1.21052
[50]	train-mlogloss:1.20749	validation-mlogloss:1.20765
[51]	train-mlogloss:1.20476	validation-mlogloss:1.20491
[52]	train-mlogloss:1.20203	validation-mlogloss:1.20219
[53]	train-mlogloss:1.19930	validation-mlogloss:1.19954
[54]	train-mlogloss:1.19662	validation-mlogloss:1.19708
[55]	train-mlogloss:1.19404	validation-mlogloss:1.19461
[56]	train-mlogloss:1.19140	validation-mlogloss:1.19210
[57]	train-mlogloss:1.18880	validation-mlogloss:1.18959
[58]	train-mlogloss:1.18619	validation-mlogloss:1.18694
[59]	train-mlogloss:1.18367	validation-mlogloss:1.18448
[60]	train-mlogloss:1.18107	validation-mlogloss:1.18187
[61]	train-mlogloss:1.17852	validation-mlogloss:1.17938
[62]	train-mlogloss:1.17596	validation-mlogloss:1.17675
[63]	train-mlogloss:1.17348	validation-mlogloss:1.17417
[64]	train-mlogloss:1.17098	validation-mlogloss:1.17152
[65]	train-mlogloss:1.16854	validation-mlogloss:1.16906
[66]	train-mlogloss:1.16610	validation-mlogloss:1.16663
[67]	train-mlogloss:1.16337	validation-mlogloss:1.16394
[68]	train-mlogloss:1.16105	validation-mlogloss:1.16158
[69]	train-mlogloss:1.15871	validation-mlogloss:1.15920
[70]	train-mlogloss:1.15635	validation-mlogloss:1.15687
[71]	train-mlogloss:1.15370	validation-mlogloss:1.15427
[72]	train-mlogloss:1.15140	validation-mlogloss:1.15202
[73]	train-mlogloss:1.14914	validation-mlogloss:1.14966
[74]	train-mlogloss:1.14688	validation-mlogloss:1.14733
[75]	train-mlogloss:1.14461	validation-mlogloss:1.14489
[76]	train-mlogloss:1.14238	validation-mlogloss:1.14264
[77]	train-mlogloss:1.13983	validation-mlogloss:1.14008
[78]	train-mlogloss:1.13769	validation-mlogloss:1.13794
[79]	train-mlogloss:1.13544	validation-mlogloss:1.13562
[80]	train-mlogloss:1.13329	validation-mlogloss:1.13345
[81]	train-mlogloss:1.13117	validation-mlogloss:1.13128
[82]	train-mlogloss:1.12883	validation-mlogloss:1.12899
[83]	train-mlogloss:1.12671	validation-mlogloss:1.12685
[84]	train-mlogloss:1.12445	validation-mlogloss:1.12467
[85]	train-mlogloss:1.12235	validation-mlogloss:1.12245
[86]	train-mlogloss:1.11996	validation-mlogloss:1.12014
[87]	train-mlogloss:1.11761	validation-mlogloss:1.11772
[88]	train-mlogloss:1.11558	validation-mlogloss:1.11561
[89]	train-mlogloss:1.11356	validation-mlogloss:1.11359
[90]	train-mlogloss:1.11132	validation-mlogloss:1.11143
[91]	train-mlogloss:1.10930	validation-mlogloss:1.10943
[92]	train-mlogloss:1.10730	validation-mlogloss:1.10735
[93]	train-mlogloss:1.10507	validation-mlogloss:1.10516
[94]	train-mlogloss:1.10312	validation-mlogloss:1.10307
[95]	train-mlogloss:1.10124	validation-mlogloss:1.10127
[96]	train-mlogloss:1.09936	validation-mlogloss:1.09927
[97]	train-mlogloss:1.09752	validation-mlogloss:1.09725
[98]	train-mlogloss:1.09561	validation-mlogloss:1.09537
[99]	train-mlogloss:1.09364	validation-mlogloss:1.09336
[100]	train-mlogloss:1.09179	validation-mlogloss:1.09161
[101]	train-mlogloss:1.08987	validation-mlogloss:1.08955
[102]	train-mlogloss:1.08803	validation-mlogloss:1.08767
[103]	train-mlogloss:1.08593	validation-mlogloss:1.08558
[104]	train-mlogloss:1.08400	validation-mlogloss:1.08365
[105]	train-mlogloss:1.08199	validation-mlogloss:1.08173
[106]	train-mlogloss:1.07996	validation-mlogloss:1.07972
[107]	train-mlogloss:1.07822	validation-mlogloss:1.07797
[108]	train-mlogloss:1.07626	validation-mlogloss:1.07606
[109]	train-mlogloss:1.07453	validation-mlogloss:1.07428
[110]	train-mlogloss:1.07275	validation-mlogloss:1.07240
[111]	train-mlogloss:1.07081	validation-mlogloss:1.07045
[112]	train-mlogloss:1.06880	validation-mlogloss:1.06844
[113]	train-mlogloss:1.06687	validation-mlogloss:1.06658
[114]	train-mlogloss:1.06500	validation-mlogloss:1.06477
[115]	train-mlogloss:1.06317	validation-mlogloss:1.06308
[116]	train-mlogloss:1.06138	validation-mlogloss:1.06138
[117]	train-mlogloss:1.05952	validation-mlogloss:1.05955
[118]	train-mlogloss:1.05770	validation-mlogloss:1.05780
[119]	train-mlogloss:1.05586	validation-mlogloss:1.05610
[120]	train-mlogloss:1.05410	validation-mlogloss:1.05444
[121]	train-mlogloss:1.05247	validation-mlogloss:1.05299
[122]	train-mlogloss:1.05068	validation-mlogloss:1.05132
[123]	train-mlogloss:1.04898	validation-mlogloss:1.04969
[124]	train-mlogloss:1.04725	validation-mlogloss:1.04793
[125]	train-mlogloss:1.04569	validation-mlogloss:1.04635
[126]	train-mlogloss:1.04396	validation-mlogloss:1.04462
[127]	train-mlogloss:1.04226	validation-mlogloss:1.04292
[128]	train-mlogloss:1.04073	validation-mlogloss:1.04159
[129]	train-mlogloss:1.03920	validation-mlogloss:1.04001
[130]	train-mlogloss:1.03762	validation-mlogloss:1.03844
[131]	train-mlogloss:1.03607	validation-mlogloss:1.03679
[132]	train-mlogloss:1.03436	validation-mlogloss:1.03508
[133]	train-mlogloss:1.03293	validation-mlogloss:1.03359
[134]	train-mlogloss:1.03122	validation-mlogloss:1.03184
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 0 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.35 [%]
Global accuracy score (test) = 69.84 [%]
Global F1 score (train) = 69.01 [%]
Global F1 score (test) = 69.72 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.64      0.42      0.51       400
MODERATE-INTENSITY       0.55      0.81      0.65       400
         SEDENTARY       0.84      0.85      0.85       400
VIGOROUS-INTENSITY       0.87      0.72      0.78       345

          accuracy                           0.70      1545
         macro avg       0.72      0.70      0.70      1545
      weighted avg       0.72      0.70      0.69      1545


Accuracy capturado en la ejecución 3: 69.84 [%]
F1-score capturado en la ejecución 3: 69.72 [%]

=== EJECUCIÓN 4 ===

--- TRAIN (ejecución 4) ---

--- TEST (ejecución 4) ---
2025-11-07 10:38:27.701451: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:38:27.712850: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508307.726192 2399563 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508307.730440 2399563 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508307.740578 2399563 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508307.740601 2399563 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508307.740603 2399563 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508307.740604 2399563 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:38:27.743811: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38203	validation-mlogloss:1.38206
[1]	train-mlogloss:1.37765	validation-mlogloss:1.37780
[2]	train-mlogloss:1.37319	validation-mlogloss:1.37340
[3]	train-mlogloss:1.36901	validation-mlogloss:1.36916
[4]	train-mlogloss:1.36474	validation-mlogloss:1.36490
[5]	train-mlogloss:1.36055	validation-mlogloss:1.36080
[6]	train-mlogloss:1.35629	validation-mlogloss:1.35654
[7]	train-mlogloss:1.35205	validation-mlogloss:1.35234
[8]	train-mlogloss:1.34800	validation-mlogloss:1.34834
[9]	train-mlogloss:1.34393	validation-mlogloss:1.34438
[10]	train-mlogloss:1.33980	validation-mlogloss:1.34015
[11]	train-mlogloss:1.33578	validation-mlogloss:1.33608
[12]	train-mlogloss:1.33190	validation-mlogloss:1.33221
[13]	train-mlogloss:1.32799	validation-mlogloss:1.32825
[14]	train-mlogloss:1.32409	validation-mlogloss:1.32428
[15]	train-mlogloss:1.32034	validation-mlogloss:1.32051
[16]	train-mlogloss:1.31648	validation-mlogloss:1.31683
[17]	train-mlogloss:1.31259	validation-mlogloss:1.31304
[18]	train-mlogloss:1.30879	validation-mlogloss:1.30937
[19]	train-mlogloss:1.30517	validation-mlogloss:1.30598
[20]	train-mlogloss:1.30149	validation-mlogloss:1.30221
[21]	train-mlogloss:1.29785	validation-mlogloss:1.29844
[22]	train-mlogloss:1.29424	validation-mlogloss:1.29477
[23]	train-mlogloss:1.29077	validation-mlogloss:1.29126
[24]	train-mlogloss:1.28727	validation-mlogloss:1.28773
[25]	train-mlogloss:1.28381	validation-mlogloss:1.28445
[26]	train-mlogloss:1.28039	validation-mlogloss:1.28110
[27]	train-mlogloss:1.27693	validation-mlogloss:1.27764
[28]	train-mlogloss:1.27356	validation-mlogloss:1.27439
[29]	train-mlogloss:1.27025	validation-mlogloss:1.27125
[30]	train-mlogloss:1.26693	validation-mlogloss:1.26796
[31]	train-mlogloss:1.26362	validation-mlogloss:1.26470
[32]	train-mlogloss:1.26040	validation-mlogloss:1.26156
[33]	train-mlogloss:1.25721	validation-mlogloss:1.25835
[34]	train-mlogloss:1.25400	validation-mlogloss:1.25509
[35]	train-mlogloss:1.25083	validation-mlogloss:1.25182
[36]	train-mlogloss:1.24771	validation-mlogloss:1.24870
[37]	train-mlogloss:1.24472	validation-mlogloss:1.24566
[38]	train-mlogloss:1.24161	validation-mlogloss:1.24254
[39]	train-mlogloss:1.23859	validation-mlogloss:1.23948
[40]	train-mlogloss:1.23561	validation-mlogloss:1.23646
[41]	train-mlogloss:1.23254	validation-mlogloss:1.23334
[42]	train-mlogloss:1.22923	validation-mlogloss:1.23020
[43]	train-mlogloss:1.22632	validation-mlogloss:1.22746
[44]	train-mlogloss:1.22333	validation-mlogloss:1.22443
[45]	train-mlogloss:1.22046	validation-mlogloss:1.22141
[46]	train-mlogloss:1.21747	validation-mlogloss:1.21835
[47]	train-mlogloss:1.21463	validation-mlogloss:1.21541
[48]	train-mlogloss:1.21158	validation-mlogloss:1.21253
[49]	train-mlogloss:1.20874	validation-mlogloss:1.20972
[50]	train-mlogloss:1.20596	validation-mlogloss:1.20704
[51]	train-mlogloss:1.20309	validation-mlogloss:1.20421
[52]	train-mlogloss:1.20039	validation-mlogloss:1.20149
[53]	train-mlogloss:1.19758	validation-mlogloss:1.19891
[54]	train-mlogloss:1.19488	validation-mlogloss:1.19613
[55]	train-mlogloss:1.19218	validation-mlogloss:1.19346
[56]	train-mlogloss:1.18941	validation-mlogloss:1.19071
[57]	train-mlogloss:1.18683	validation-mlogloss:1.18825
[58]	train-mlogloss:1.18428	validation-mlogloss:1.18569
[59]	train-mlogloss:1.18169	validation-mlogloss:1.18324
[60]	train-mlogloss:1.17913	validation-mlogloss:1.18069
[61]	train-mlogloss:1.17654	validation-mlogloss:1.17810
[62]	train-mlogloss:1.17398	validation-mlogloss:1.17551
[63]	train-mlogloss:1.17151	validation-mlogloss:1.17304
[64]	train-mlogloss:1.16902	validation-mlogloss:1.17060
[65]	train-mlogloss:1.16657	validation-mlogloss:1.16794
[66]	train-mlogloss:1.16415	validation-mlogloss:1.16550
[67]	train-mlogloss:1.16168	validation-mlogloss:1.16302
[68]	train-mlogloss:1.15929	validation-mlogloss:1.16050
[69]	train-mlogloss:1.15689	validation-mlogloss:1.15813
[70]	train-mlogloss:1.15422	validation-mlogloss:1.15555
[71]	train-mlogloss:1.15183	validation-mlogloss:1.15321
[72]	train-mlogloss:1.14947	validation-mlogloss:1.15095
[73]	train-mlogloss:1.14717	validation-mlogloss:1.14845
[74]	train-mlogloss:1.14488	validation-mlogloss:1.14618
[75]	train-mlogloss:1.14254	validation-mlogloss:1.14378
[76]	train-mlogloss:1.14008	validation-mlogloss:1.14141
[77]	train-mlogloss:1.13783	validation-mlogloss:1.13915
[78]	train-mlogloss:1.13533	validation-mlogloss:1.13681
[79]	train-mlogloss:1.13312	validation-mlogloss:1.13443
[80]	train-mlogloss:1.13088	validation-mlogloss:1.13211
[81]	train-mlogloss:1.12877	validation-mlogloss:1.13006
[82]	train-mlogloss:1.12652	validation-mlogloss:1.12773
[83]	train-mlogloss:1.12442	validation-mlogloss:1.12561
[84]	train-mlogloss:1.12223	validation-mlogloss:1.12344
[85]	train-mlogloss:1.12006	validation-mlogloss:1.12132
[86]	train-mlogloss:1.11789	validation-mlogloss:1.11914
[87]	train-mlogloss:1.11579	validation-mlogloss:1.11701
[88]	train-mlogloss:1.11344	validation-mlogloss:1.11484
[89]	train-mlogloss:1.11114	validation-mlogloss:1.11253
[90]	train-mlogloss:1.10914	validation-mlogloss:1.11062
[91]	train-mlogloss:1.10711	validation-mlogloss:1.10860
[92]	train-mlogloss:1.10504	validation-mlogloss:1.10652
[93]	train-mlogloss:1.10305	validation-mlogloss:1.10457
[94]	train-mlogloss:1.10108	validation-mlogloss:1.10266
[95]	train-mlogloss:1.09906	validation-mlogloss:1.10058
[96]	train-mlogloss:1.09713	validation-mlogloss:1.09861
[97]	train-mlogloss:1.09504	validation-mlogloss:1.09663
[98]	train-mlogloss:1.09311	validation-mlogloss:1.09476
[99]	train-mlogloss:1.09121	validation-mlogloss:1.09278
[100]	train-mlogloss:1.08906	validation-mlogloss:1.09069
[101]	train-mlogloss:1.08720	validation-mlogloss:1.08890
[102]	train-mlogloss:1.08529	validation-mlogloss:1.08696
[103]	train-mlogloss:1.08349	validation-mlogloss:1.08504
[104]	train-mlogloss:1.08147	validation-mlogloss:1.08307
[105]	train-mlogloss:1.07966	validation-mlogloss:1.08112
[106]	train-mlogloss:1.07788	validation-mlogloss:1.07924
[107]	train-mlogloss:1.07610	validation-mlogloss:1.07752
[108]	train-mlogloss:1.07429	validation-mlogloss:1.07563
[109]	train-mlogloss:1.07247	validation-mlogloss:1.07383
[110]	train-mlogloss:1.07059	validation-mlogloss:1.07204
[111]	train-mlogloss:1.06852	validation-mlogloss:1.06992
[112]	train-mlogloss:1.06664	validation-mlogloss:1.06829
[113]	train-mlogloss:1.06475	validation-mlogloss:1.06654
[114]	train-mlogloss:1.06301	validation-mlogloss:1.06462
[115]	train-mlogloss:1.06103	validation-mlogloss:1.06277
[116]	train-mlogloss:1.05918	validation-mlogloss:1.06100
[117]	train-mlogloss:1.05732	validation-mlogloss:1.05918
[118]	train-mlogloss:1.05539	validation-mlogloss:1.05732
[119]	train-mlogloss:1.05373	validation-mlogloss:1.05571
[120]	train-mlogloss:1.05212	validation-mlogloss:1.05406
[121]	train-mlogloss:1.05025	validation-mlogloss:1.05227
[122]	train-mlogloss:1.04845	validation-mlogloss:1.05056
[123]	train-mlogloss:1.04665	validation-mlogloss:1.04877
[124]	train-mlogloss:1.04488	validation-mlogloss:1.04715
[125]	train-mlogloss:1.04330	validation-mlogloss:1.04568
[126]	train-mlogloss:1.04155	validation-mlogloss:1.04397
[127]	train-mlogloss:1.03999	validation-mlogloss:1.04236
[128]	train-mlogloss:1.03847	validation-mlogloss:1.04085
[129]	train-mlogloss:1.03667	validation-mlogloss:1.03903
[130]	train-mlogloss:1.03514	validation-mlogloss:1.03745
[131]	train-mlogloss:1.03366	validation-mlogloss:1.03603
[132]	train-mlogloss:1.03214	validation-mlogloss:1.03446
[133]	train-mlogloss:1.03055	validation-mlogloss:1.03298
[134]	train-mlogloss:1.02884	validation-mlogloss:1.03135
[135]	train-mlogloss:1.02734	validation-mlogloss:1.02991
[136]	train-mlogloss:1.02576	validation-mlogloss:1.02845
[137]	train-mlogloss:1.02430	validation-mlogloss:1.02694
[138]	train-mlogloss:1.02291	validation-mlogloss:1.02548
[139]	train-mlogloss:1.02147	validation-mlogloss:1.02406
[140]	train-mlogloss:1.01988	validation-mlogloss:1.02250
[141]	train-mlogloss:1.01827	validation-mlogloss:1.02096
[142]	train-mlogloss:1.01668	validation-mlogloss:1.01937
[143]	train-mlogloss:1.01505	validation-mlogloss:1.01763
[144]	train-mlogloss:1.01371	validation-mlogloss:1.01629
[145]	train-mlogloss:1.01217	validation-mlogloss:1.01471
[146]	train-mlogloss:1.01059	validation-mlogloss:1.01319
[147]	train-mlogloss:1.00905	validation-mlogloss:1.01175
[148]	train-mlogloss:1.00764	validation-mlogloss:1.01032
[149]	train-mlogloss:1.00630	validation-mlogloss:1.00900
[150]	train-mlogloss:1.00484	validation-mlogloss:1.00764
[151]	train-mlogloss:1.00359	validation-mlogloss:1.00636
[152]	train-mlogloss:1.00212	validation-mlogloss:1.00492
[153]	train-mlogloss:1.00065	validation-mlogloss:1.00344
[154]	train-mlogloss:0.99926	validation-mlogloss:1.00210
[155]	train-mlogloss:0.99786	validation-mlogloss:1.00080
[156]	train-mlogloss:0.99645	validation-mlogloss:0.99954
[157]	train-mlogloss:0.99527	validation-mlogloss:0.99835
[158]	train-mlogloss:0.99401	validation-mlogloss:0.99699
[159]	train-mlogloss:0.99257	validation-mlogloss:0.99549
[160]	train-mlogloss:0.99130	validation-mlogloss:0.99411
[161]	train-mlogloss:0.98989	validation-mlogloss:0.99274
[162]	train-mlogloss:0.98851	validation-mlogloss:0.99138
[163]	train-mlogloss:0.98724	validation-mlogloss:0.99015
[164]	train-mlogloss:0.98596	validation-mlogloss:0.98900
[165]	train-mlogloss:0.98456	validation-mlogloss:0.98759
[166]	train-mlogloss:0.98337	validation-mlogloss:0.98636
[167]	train-mlogloss:0.98216	validation-mlogloss:0.98513
[168]	train-mlogloss:0.98093	validation-mlogloss:0.98391
[169]	train-mlogloss:0.97969	validation-mlogloss:0.98271
[170]	train-mlogloss:0.97836	validation-mlogloss:0.98124
[171]	train-mlogloss:0.97702	validation-mlogloss:0.97993
[172]	train-mlogloss:0.97589	validation-mlogloss:0.97884
[173]	train-mlogloss:0.97461	validation-mlogloss:0.97758
[174]	train-mlogloss:0.97327	validation-mlogloss:0.97627
[175]	train-mlogloss:0.97205	validation-mlogloss:0.97512
[176]	train-mlogloss:0.97080	validation-mlogloss:0.97393
[177]	train-mlogloss:0.96963	validation-mlogloss:0.97281
[178]	train-mlogloss:0.96838	validation-mlogloss:0.97155
[179]	train-mlogloss:0.96724	validation-mlogloss:0.97049
[180]	train-mlogloss:0.96601	validation-mlogloss:0.96924
[181]	train-mlogloss:0.96493	validation-mlogloss:0.96817
[182]	train-mlogloss:0.96368	validation-mlogloss:0.96689
[183]	train-mlogloss:0.96252	validation-mlogloss:0.96580
[184]	train-mlogloss:0.96124	validation-mlogloss:0.96448
[185]	train-mlogloss:0.96001	validation-mlogloss:0.96327
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[398]	train-mlogloss:0.80985	validation-mlogloss:0.81120
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[401]	train-mlogloss:0.80861	validation-mlogloss:0.81001
[402]	train-mlogloss:0.80820	validation-mlogloss:0.80960
[403]	train-mlogloss:0.80776	validation-mlogloss:0.80918
[404]	train-mlogloss:0.80726	validation-mlogloss:0.80872
[405]	train-mlogloss:0.80685	validation-mlogloss:0.80840
[406]	train-mlogloss:0.80649	validation-mlogloss:0.80808
[407]	train-mlogloss:0.80607	validation-mlogloss:0.80769
[408]	train-mlogloss:0.80562	validation-mlogloss:0.80724
[409]	train-mlogloss:0.80520	validation-mlogloss:0.80685
[410]	train-mlogloss:0.80477	validation-mlogloss:0.80644
[411]	train-mlogloss:0.80438	validation-mlogloss:0.80605
[412]	train-mlogloss:0.80399	validation-mlogloss:0.80565
[413]	train-mlogloss:0.80360	validation-mlogloss:0.80526
[414]	train-mlogloss:0.80321	validation-mlogloss:0.80482
[415]	train-mlogloss:0.80286	validation-mlogloss:0.80443
[416]	train-mlogloss:0.80243	validation-mlogloss:0.80399
[417]	train-mlogloss:0.80205	validation-mlogloss:0.80359
[418]	train-mlogloss:0.80161	validation-mlogloss:0.80307
[419]	train-mlogloss:0.80118	validation-mlogloss:0.80268
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
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This activity can't be balanced (in a downsampling way)
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This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 0 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.47 [%]
Global accuracy score (test) = 69.26 [%]
Global F1 score (train) = 69.16 [%]
Global F1 score (test) = 69.32 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.43      0.50       400
MODERATE-INTENSITY       0.54      0.78      0.64       400
         SEDENTARY       0.83      0.86      0.85       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.69      1545
         macro avg       0.71      0.69      0.69      1545
      weighted avg       0.71      0.69      0.69      1545


Accuracy capturado en la ejecución 4: 69.26 [%]
F1-score capturado en la ejecución 4: 69.32 [%]

=== EJECUCIÓN 5 ===

--- TRAIN (ejecución 5) ---

--- TEST (ejecución 5) ---
2025-11-07 10:38:39.426397: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:38:39.437833: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508319.450735 2399840 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508319.454854 2399840 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508319.464954 2399840 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508319.464972 2399840 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508319.464974 2399840 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508319.464976 2399840 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:38:39.468198: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38177	validation-mlogloss:1.38170
[1]	train-mlogloss:1.37727	validation-mlogloss:1.37723
[2]	train-mlogloss:1.37279	validation-mlogloss:1.37276
[3]	train-mlogloss:1.36842	validation-mlogloss:1.36837
[4]	train-mlogloss:1.36416	validation-mlogloss:1.36410
[5]	train-mlogloss:1.35990	validation-mlogloss:1.36013
[6]	train-mlogloss:1.35568	validation-mlogloss:1.35599
[7]	train-mlogloss:1.35150	validation-mlogloss:1.35179
[8]	train-mlogloss:1.34746	validation-mlogloss:1.34782
[9]	train-mlogloss:1.34341	validation-mlogloss:1.34370
[10]	train-mlogloss:1.33946	validation-mlogloss:1.33975
[11]	train-mlogloss:1.33569	validation-mlogloss:1.33626
[12]	train-mlogloss:1.33180	validation-mlogloss:1.33249
[13]	train-mlogloss:1.32778	validation-mlogloss:1.32846
[14]	train-mlogloss:1.32393	validation-mlogloss:1.32447
[15]	train-mlogloss:1.32009	validation-mlogloss:1.32053
[16]	train-mlogloss:1.31633	validation-mlogloss:1.31698
[17]	train-mlogloss:1.31268	validation-mlogloss:1.31338
[18]	train-mlogloss:1.30897	validation-mlogloss:1.30967
[19]	train-mlogloss:1.30497	validation-mlogloss:1.30583
[20]	train-mlogloss:1.30138	validation-mlogloss:1.30216
[21]	train-mlogloss:1.29775	validation-mlogloss:1.29840
[22]	train-mlogloss:1.29412	validation-mlogloss:1.29484
[23]	train-mlogloss:1.29062	validation-mlogloss:1.29134
[24]	train-mlogloss:1.28715	validation-mlogloss:1.28789
[25]	train-mlogloss:1.28378	validation-mlogloss:1.28446
[26]	train-mlogloss:1.28027	validation-mlogloss:1.28097
[27]	train-mlogloss:1.27691	validation-mlogloss:1.27767
[28]	train-mlogloss:1.27329	validation-mlogloss:1.27419
[29]	train-mlogloss:1.26990	validation-mlogloss:1.27072
[30]	train-mlogloss:1.26665	validation-mlogloss:1.26751
[31]	train-mlogloss:1.26352	validation-mlogloss:1.26446
[32]	train-mlogloss:1.26032	validation-mlogloss:1.26121
[33]	train-mlogloss:1.25716	validation-mlogloss:1.25801
[34]	train-mlogloss:1.25382	validation-mlogloss:1.25462
[35]	train-mlogloss:1.25069	validation-mlogloss:1.25148
[36]	train-mlogloss:1.24749	validation-mlogloss:1.24811
[37]	train-mlogloss:1.24436	validation-mlogloss:1.24502
[38]	train-mlogloss:1.24127	validation-mlogloss:1.24188
[39]	train-mlogloss:1.23816	validation-mlogloss:1.23866
[40]	train-mlogloss:1.23525	validation-mlogloss:1.23583
[41]	train-mlogloss:1.23229	validation-mlogloss:1.23285
[42]	train-mlogloss:1.22934	validation-mlogloss:1.22984
[43]	train-mlogloss:1.22639	validation-mlogloss:1.22689
[44]	train-mlogloss:1.22341	validation-mlogloss:1.22385
[45]	train-mlogloss:1.22053	validation-mlogloss:1.22092
[46]	train-mlogloss:1.21771	validation-mlogloss:1.21833
[47]	train-mlogloss:1.21477	validation-mlogloss:1.21534
[48]	train-mlogloss:1.21195	validation-mlogloss:1.21249
[49]	train-mlogloss:1.20906	validation-mlogloss:1.20958
[50]	train-mlogloss:1.20632	validation-mlogloss:1.20705
[51]	train-mlogloss:1.20363	validation-mlogloss:1.20439
[52]	train-mlogloss:1.20094	validation-mlogloss:1.20172
[53]	train-mlogloss:1.19826	validation-mlogloss:1.19903
[54]	train-mlogloss:1.19561	validation-mlogloss:1.19641
[55]	train-mlogloss:1.19296	validation-mlogloss:1.19377
[56]	train-mlogloss:1.19032	validation-mlogloss:1.19112
[57]	train-mlogloss:1.18767	validation-mlogloss:1.18846
[58]	train-mlogloss:1.18508	validation-mlogloss:1.18588
[59]	train-mlogloss:1.18248	validation-mlogloss:1.18316
[60]	train-mlogloss:1.17986	validation-mlogloss:1.18045
[61]	train-mlogloss:1.17727	validation-mlogloss:1.17772
[62]	train-mlogloss:1.17476	validation-mlogloss:1.17522
[63]	train-mlogloss:1.17223	validation-mlogloss:1.17275
[64]	train-mlogloss:1.16979	validation-mlogloss:1.17035
[65]	train-mlogloss:1.16733	validation-mlogloss:1.16788
[66]	train-mlogloss:1.16455	validation-mlogloss:1.16516
[67]	train-mlogloss:1.16213	validation-mlogloss:1.16266
[68]	train-mlogloss:1.15970	validation-mlogloss:1.16029
[69]	train-mlogloss:1.15735	validation-mlogloss:1.15801
[70]	train-mlogloss:1.15498	validation-mlogloss:1.15555
[71]	train-mlogloss:1.15267	validation-mlogloss:1.15312
[72]	train-mlogloss:1.15035	validation-mlogloss:1.15088
[73]	train-mlogloss:1.14795	validation-mlogloss:1.14846
[74]	train-mlogloss:1.14559	validation-mlogloss:1.14608
[75]	train-mlogloss:1.14313	validation-mlogloss:1.14372
[76]	train-mlogloss:1.14088	validation-mlogloss:1.14152
[77]	train-mlogloss:1.13860	validation-mlogloss:1.13924
[78]	train-mlogloss:1.13640	validation-mlogloss:1.13702
[79]	train-mlogloss:1.13424	validation-mlogloss:1.13488
[80]	train-mlogloss:1.13203	validation-mlogloss:1.13257
[81]	train-mlogloss:1.12985	validation-mlogloss:1.13025
[82]	train-mlogloss:1.12739	validation-mlogloss:1.12782
[83]	train-mlogloss:1.12524	validation-mlogloss:1.12555
[84]	train-mlogloss:1.12313	validation-mlogloss:1.12343
[85]	train-mlogloss:1.12103	validation-mlogloss:1.12135
[86]	train-mlogloss:1.11869	validation-mlogloss:1.11909
[87]	train-mlogloss:1.11638	validation-mlogloss:1.11680
[88]	train-mlogloss:1.11430	validation-mlogloss:1.11475
[89]	train-mlogloss:1.11225	validation-mlogloss:1.11266
[90]	train-mlogloss:1.11019	validation-mlogloss:1.11068
[91]	train-mlogloss:1.10817	validation-mlogloss:1.10870
[92]	train-mlogloss:1.10611	validation-mlogloss:1.10668
[93]	train-mlogloss:1.10416	validation-mlogloss:1.10477
[94]	train-mlogloss:1.10221	validation-mlogloss:1.10277
[95]	train-mlogloss:1.10008	validation-mlogloss:1.10070
[96]	train-mlogloss:1.09815	validation-mlogloss:1.09877
[97]	train-mlogloss:1.09628	validation-mlogloss:1.09681
[98]	train-mlogloss:1.09416	validation-mlogloss:1.09478
[99]	train-mlogloss:1.09220	validation-mlogloss:1.09301
[100]	train-mlogloss:1.09035	validation-mlogloss:1.09111
[101]	train-mlogloss:1.08847	validation-mlogloss:1.08921
[102]	train-mlogloss:1.08664	validation-mlogloss:1.08724
[103]	train-mlogloss:1.08454	validation-mlogloss:1.08519
[104]	train-mlogloss:1.08268	validation-mlogloss:1.08317
[105]	train-mlogloss:1.08073	validation-mlogloss:1.08123
[106]	train-mlogloss:1.07877	validation-mlogloss:1.07932
[107]	train-mlogloss:1.07674	validation-mlogloss:1.07740
[108]	train-mlogloss:1.07490	validation-mlogloss:1.07548
[109]	train-mlogloss:1.07318	validation-mlogloss:1.07378
[110]	train-mlogloss:1.07122	validation-mlogloss:1.07204
[111]	train-mlogloss:1.06947	validation-mlogloss:1.07022
[112]	train-mlogloss:1.06763	validation-mlogloss:1.06855
[113]	train-mlogloss:1.06591	validation-mlogloss:1.06686
[114]	train-mlogloss:1.06394	validation-mlogloss:1.06484
[115]	train-mlogloss:1.06234	validation-mlogloss:1.06320
[116]	train-mlogloss:1.06048	validation-mlogloss:1.06133
[117]	train-mlogloss:1.05867	validation-mlogloss:1.05959
[118]	train-mlogloss:1.05699	validation-mlogloss:1.05780
[119]	train-mlogloss:1.05517	validation-mlogloss:1.05610
[120]	train-mlogloss:1.05333	validation-mlogloss:1.05428
[121]	train-mlogloss:1.05178	validation-mlogloss:1.05279
[122]	train-mlogloss:1.05016	validation-mlogloss:1.05119
[123]	train-mlogloss:1.04859	validation-mlogloss:1.04961
[124]	train-mlogloss:1.04679	validation-mlogloss:1.04782
[125]	train-mlogloss:1.04516	validation-mlogloss:1.04614
[126]	train-mlogloss:1.04347	validation-mlogloss:1.04448
[127]	train-mlogloss:1.04183	validation-mlogloss:1.04287
[128]	train-mlogloss:1.04026	validation-mlogloss:1.04132
[129]	train-mlogloss:1.03859	validation-mlogloss:1.03978
[130]	train-mlogloss:1.03709	validation-mlogloss:1.03839
[131]	train-mlogloss:1.03544	validation-mlogloss:1.03673
[132]	train-mlogloss:1.03389	validation-mlogloss:1.03517
[133]	train-mlogloss:1.03243	validation-mlogloss:1.03370
[134]	train-mlogloss:1.03094	validation-mlogloss:1.03223
[135]	train-mlogloss:1.02934	validation-mlogloss:1.03067
[136]	train-mlogloss:1.02772	validation-mlogloss:1.02903
[137]	train-mlogloss:1.02629	validation-mlogloss:1.02765
[138]	train-mlogloss:1.02484	validation-mlogloss:1.02616
[139]	train-mlogloss:1.02321	validation-mlogloss:1.02457
[140]	train-mlogloss:1.02177	validation-mlogloss:1.02319
[141]	train-mlogloss:1.02016	validation-mlogloss:1.02163
[142]	train-mlogloss:1.01882	validation-mlogloss:1.02028
[143]	train-mlogloss:1.01725	validation-mlogloss:1.01869
[144]	train-mlogloss:1.01583	validation-mlogloss:1.01724
[145]	train-mlogloss:1.01425	validation-mlogloss:1.01558
[146]	train-mlogloss:1.01272	validation-mlogloss:1.01398
[147]	train-mlogloss:1.01135	validation-mlogloss:1.01259
[148]	train-mlogloss:1.00982	validation-mlogloss:1.01099
[149]	train-mlogloss:1.00837	validation-mlogloss:1.00964
[150]	train-mlogloss:1.00707	validation-mlogloss:1.00827
[151]	train-mlogloss:1.00564	validation-mlogloss:1.00687
[152]	train-mlogloss:1.00428	validation-mlogloss:1.00558
[153]	train-mlogloss:1.00278	validation-mlogloss:1.00407
[154]	train-mlogloss:1.00141	validation-mlogloss:1.00282
[155]	train-mlogloss:0.99996	validation-mlogloss:1.00137
[156]	train-mlogloss:0.99868	validation-mlogloss:1.00010
[157]	train-mlogloss:0.99722	validation-mlogloss:0.99874
[158]	train-mlogloss:0.99580	validation-mlogloss:0.99721
[159]	train-mlogloss:0.99434	validation-mlogloss:0.99574
[160]	train-mlogloss:0.99293	validation-mlogloss:0.99428
[161]	train-mlogloss:0.99171	validation-mlogloss:0.99310
[162]	train-mlogloss:0.99047	validation-mlogloss:0.99181
[163]	train-mlogloss:0.98928	validation-mlogloss:0.99054
[164]	train-mlogloss:0.98807	validation-mlogloss:0.98938
[165]	train-mlogloss:0.98682	validation-mlogloss:0.98823
[166]	train-mlogloss:0.98544	validation-mlogloss:0.98690
[167]	train-mlogloss:0.98425	validation-mlogloss:0.98559
[168]	train-mlogloss:0.98286	validation-mlogloss:0.98419
[169]	train-mlogloss:0.98165	validation-mlogloss:0.98301
[170]	train-mlogloss:0.98040	validation-mlogloss:0.98176
[171]	train-mlogloss:0.97920	validation-mlogloss:0.98061
[172]	train-mlogloss:0.97803	validation-mlogloss:0.97944
[173]	train-mlogloss:0.97680	validation-mlogloss:0.97816
[174]	train-mlogloss:0.97572	validation-mlogloss:0.97716
[175]	train-mlogloss:0.97444	validation-mlogloss:0.97578
[176]	train-mlogloss:0.97328	validation-mlogloss:0.97470
[177]	train-mlogloss:0.97216	validation-mlogloss:0.97350
[178]	train-mlogloss:0.97081	validation-mlogloss:0.97218
[179]	train-mlogloss:0.96973	validation-mlogloss:0.97111
[180]	train-mlogloss:0.96859	validation-mlogloss:0.97002
[181]	train-mlogloss:0.96729	validation-mlogloss:0.96871
[182]	train-mlogloss:0.96623	validation-mlogloss:0.96758
[183]	train-mlogloss:0.96501	validation-mlogloss:0.96627
[184]	train-mlogloss:0.96380	validation-mlogloss:0.96496
[185]	train-mlogloss:0.96258	validation-mlogloss:0.96372
[186]	train-mlogloss:0.96136	validation-mlogloss:0.96240
[187]	train-mlogloss:0.96021	validation-mlogloss:0.96133
[188]	train-mlogloss:0.95908	validation-mlogloss:0.96023
[189]	train-mlogloss:0.95796	validation-mlogloss:0.95910
[190]	train-mlogloss:0.95681	validation-mlogloss:0.95798
[191]	train-mlogloss:0.95563	validation-mlogloss:0.95681
[192]	train-mlogloss:0.95461	validation-mlogloss:0.95572
[193]	train-mlogloss:0.95347	validation-mlogloss:0.95460
[194]	train-mlogloss:0.95241	validation-mlogloss:0.95361
[195]	train-mlogloss:0.95126	validation-mlogloss:0.95248
[196]	train-mlogloss:0.95014	validation-mlogloss:0.95134
[197]	train-mlogloss:0.94898	validation-mlogloss:0.95012
[198]	train-mlogloss:0.94801	validation-mlogloss:0.94908
[199]	train-mlogloss:0.94706	validation-mlogloss:0.94815
[200]	train-mlogloss:0.94611	validation-mlogloss:0.94712
[201]	train-mlogloss:0.94517	validation-mlogloss:0.94612
[202]	train-mlogloss:0.94417	validation-mlogloss:0.94524
[203]	train-mlogloss:0.94323	validation-mlogloss:0.94439
[204]	train-mlogloss:0.94217	validation-mlogloss:0.94331
[205]	train-mlogloss:0.94116	validation-mlogloss:0.94229
[206]	train-mlogloss:0.94016	validation-mlogloss:0.94133
[207]	train-mlogloss:0.93923	validation-mlogloss:0.94037
[208]	train-mlogloss:0.93836	validation-mlogloss:0.93957
[209]	train-mlogloss:0.93726	validation-mlogloss:0.93836
[210]	train-mlogloss:0.93621	validation-mlogloss:0.93728
[211]	train-mlogloss:0.93527	validation-mlogloss:0.93633
[212]	train-mlogloss:0.93422	validation-mlogloss:0.93523
[213]	train-mlogloss:0.93329	validation-mlogloss:0.93431
[214]	train-mlogloss:0.93229	validation-mlogloss:0.93324
[215]	train-mlogloss:0.93131	validation-mlogloss:0.93222
[216]	train-mlogloss:0.93044	validation-mlogloss:0.93125
[217]	train-mlogloss:0.92942	validation-mlogloss:0.93023
[218]	train-mlogloss:0.92845	validation-mlogloss:0.92924
[219]	train-mlogloss:0.92745	validation-mlogloss:0.92820
[220]	train-mlogloss:0.92640	validation-mlogloss:0.92710
[221]	train-mlogloss:0.92538	validation-mlogloss:0.92606
[222]	train-mlogloss:0.92440	validation-mlogloss:0.92510
[223]	train-mlogloss:0.92345	validation-mlogloss:0.92411
[224]	train-mlogloss:0.92253	validation-mlogloss:0.92310
[225]	train-mlogloss:0.92167	validation-mlogloss:0.92230
[226]	train-mlogloss:0.92085	validation-mlogloss:0.92152
[227]	train-mlogloss:0.92006	validation-mlogloss:0.92076
[228]	train-mlogloss:0.91910	validation-mlogloss:0.91980
[229]	train-mlogloss:0.91810	validation-mlogloss:0.91886
[230]	train-mlogloss:0.91728	validation-mlogloss:0.91805
[231]	train-mlogloss:0.91636	validation-mlogloss:0.91701
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[385]	train-mlogloss:0.81762	validation-mlogloss:0.81786
[386]	train-mlogloss:0.81721	validation-mlogloss:0.81749
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[389]	train-mlogloss:0.81584	validation-mlogloss:0.81619
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[391]	train-mlogloss:0.81491	validation-mlogloss:0.81527
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[394]	train-mlogloss:0.81361	validation-mlogloss:0.81414
[395]	train-mlogloss:0.81326	validation-mlogloss:0.81383
[396]	train-mlogloss:0.81282	validation-mlogloss:0.81336
[397]	train-mlogloss:0.81244	validation-mlogloss:0.81301
[398]	train-mlogloss:0.81202	validation-mlogloss:0.81262
[399]	train-mlogloss:0.81162	validation-mlogloss:0.81226
[400]	train-mlogloss:0.81119	validation-mlogloss:0.81191
[401]	train-mlogloss:0.81077	validation-mlogloss:0.81153
[402]	train-mlogloss:0.81035	validation-mlogloss:0.81115
[403]	train-mlogloss:0.80996	validation-mlogloss:0.81076
[404]	train-mlogloss:0.80961	validation-mlogloss:0.81032
[405]	train-mlogloss:0.80923	validation-mlogloss:0.81002
[406]	train-mlogloss:0.80881	validation-mlogloss:0.80957
[407]	train-mlogloss:0.80833	validation-mlogloss:0.80905
[408]	train-mlogloss:0.80794	validation-mlogloss:0.80867
[409]	train-mlogloss:0.80756	validation-mlogloss:0.80830
[410]	train-mlogloss:0.80718	validation-mlogloss:0.80790
[411]	train-mlogloss:0.80681	validation-mlogloss:0.80752
[412]	train-mlogloss:0.80643	validation-mlogloss:0.80718
[413]	train-mlogloss:0.80599	validation-mlogloss:0.80685
[414]	train-mlogloss:0.80561	validation-mlogloss:0.80649
[415]	train-mlogloss:0.80523	validation-mlogloss:0.80613
[416]	train-mlogloss:0.80490	validation-mlogloss:0.80578
[417]	train-mlogloss:0.80451	validation-mlogloss:0.80547
[418]	train-mlogloss:0.80402	validation-mlogloss:0.80502
[419]	train-mlogloss:0.80368	validation-mlogloss:0.80472
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 0 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.14 [%]
Global accuracy score (test) = 68.48 [%]
Global F1 score (train) = 68.85 [%]
Global F1 score (test) = 68.47 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.40      0.47       400
MODERATE-INTENSITY       0.53      0.80      0.64       400
         SEDENTARY       0.84      0.84      0.84       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.69      0.68      1545
      weighted avg       0.70      0.68      0.68      1545


Accuracy capturado en la ejecución 5: 68.48 [%]
F1-score capturado en la ejecución 5: 68.47 [%]

=== EJECUCIÓN 6 ===

--- TRAIN (ejecución 6) ---

--- TEST (ejecución 6) ---
2025-11-07 10:38:51.031946: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:38:51.043459: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508331.056750 2400095 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508331.060970 2400095 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508331.070781 2400095 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508331.070801 2400095 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508331.070803 2400095 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508331.070805 2400095 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:38:51.073883: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
[0]	train-mlogloss:1.38189	validation-mlogloss:1.38188
[1]	train-mlogloss:1.37750	validation-mlogloss:1.37783
[2]	train-mlogloss:1.37308	validation-mlogloss:1.37349
[3]	train-mlogloss:1.36883	validation-mlogloss:1.36950
[4]	train-mlogloss:1.36471	validation-mlogloss:1.36557
[5]	train-mlogloss:1.36055	validation-mlogloss:1.36161
[6]	train-mlogloss:1.35635	validation-mlogloss:1.35763
[7]	train-mlogloss:1.35221	validation-mlogloss:1.35352
[8]	train-mlogloss:1.34814	validation-mlogloss:1.34956
[9]	train-mlogloss:1.34376	validation-mlogloss:1.34541
[10]	train-mlogloss:1.33973	validation-mlogloss:1.34138
[11]	train-mlogloss:1.33580	validation-mlogloss:1.33757
[12]	train-mlogloss:1.33182	validation-mlogloss:1.33371
[13]	train-mlogloss:1.32789	validation-mlogloss:1.32973
[14]	train-mlogloss:1.32410	validation-mlogloss:1.32604
[15]	train-mlogloss:1.32031	validation-mlogloss:1.32237
[16]	train-mlogloss:1.31652	validation-mlogloss:1.31873
[17]	train-mlogloss:1.31280	validation-mlogloss:1.31505
[18]	train-mlogloss:1.30875	validation-mlogloss:1.31125
[19]	train-mlogloss:1.30503	validation-mlogloss:1.30745
[20]	train-mlogloss:1.30131	validation-mlogloss:1.30390
[21]	train-mlogloss:1.29777	validation-mlogloss:1.30032
[22]	train-mlogloss:1.29425	validation-mlogloss:1.29682
[23]	train-mlogloss:1.29076	validation-mlogloss:1.29342
[24]	train-mlogloss:1.28734	validation-mlogloss:1.29002
[25]	train-mlogloss:1.28391	validation-mlogloss:1.28653
[26]	train-mlogloss:1.28054	validation-mlogloss:1.28328
[27]	train-mlogloss:1.27718	validation-mlogloss:1.27987
[28]	train-mlogloss:1.27375	validation-mlogloss:1.27648
[29]	train-mlogloss:1.27041	validation-mlogloss:1.27323
[30]	train-mlogloss:1.26723	validation-mlogloss:1.27000
[31]	train-mlogloss:1.26396	validation-mlogloss:1.26674
[32]	train-mlogloss:1.26072	validation-mlogloss:1.26341
[33]	train-mlogloss:1.25735	validation-mlogloss:1.26006
[34]	train-mlogloss:1.25417	validation-mlogloss:1.25688
[35]	train-mlogloss:1.25093	validation-mlogloss:1.25375
[36]	train-mlogloss:1.24772	validation-mlogloss:1.25049
[37]	train-mlogloss:1.24454	validation-mlogloss:1.24730
[38]	train-mlogloss:1.24146	validation-mlogloss:1.24427
[39]	train-mlogloss:1.23837	validation-mlogloss:1.24116
[40]	train-mlogloss:1.23536	validation-mlogloss:1.23829
[41]	train-mlogloss:1.23235	validation-mlogloss:1.23529
[42]	train-mlogloss:1.22933	validation-mlogloss:1.23244
[43]	train-mlogloss:1.22644	validation-mlogloss:1.22972
[44]	train-mlogloss:1.22320	validation-mlogloss:1.22659
[45]	train-mlogloss:1.22010	validation-mlogloss:1.22368
[46]	train-mlogloss:1.21722	validation-mlogloss:1.22090
[47]	train-mlogloss:1.21435	validation-mlogloss:1.21831
[48]	train-mlogloss:1.21155	validation-mlogloss:1.21546
[49]	train-mlogloss:1.20877	validation-mlogloss:1.21257
[50]	train-mlogloss:1.20610	validation-mlogloss:1.20986
[51]	train-mlogloss:1.20334	validation-mlogloss:1.20712
[52]	train-mlogloss:1.20058	validation-mlogloss:1.20439
[53]	train-mlogloss:1.19759	validation-mlogloss:1.20146
[54]	train-mlogloss:1.19479	validation-mlogloss:1.19863
[55]	train-mlogloss:1.19215	validation-mlogloss:1.19613
[56]	train-mlogloss:1.18960	validation-mlogloss:1.19368
[57]	train-mlogloss:1.18700	validation-mlogloss:1.19125
[58]	train-mlogloss:1.18444	validation-mlogloss:1.18865
[59]	train-mlogloss:1.18177	validation-mlogloss:1.18597
[60]	train-mlogloss:1.17927	validation-mlogloss:1.18334
[61]	train-mlogloss:1.17674	validation-mlogloss:1.18079
[62]	train-mlogloss:1.17404	validation-mlogloss:1.17816
[63]	train-mlogloss:1.17151	validation-mlogloss:1.17563
[64]	train-mlogloss:1.16895	validation-mlogloss:1.17293
[65]	train-mlogloss:1.16645	validation-mlogloss:1.17047
[66]	train-mlogloss:1.16399	validation-mlogloss:1.16803
[67]	train-mlogloss:1.16131	validation-mlogloss:1.16547
[68]	train-mlogloss:1.15893	validation-mlogloss:1.16313
[69]	train-mlogloss:1.15661	validation-mlogloss:1.16082
[70]	train-mlogloss:1.15432	validation-mlogloss:1.15848
[71]	train-mlogloss:1.15196	validation-mlogloss:1.15609
[72]	train-mlogloss:1.14965	validation-mlogloss:1.15360
[73]	train-mlogloss:1.14736	validation-mlogloss:1.15130
[74]	train-mlogloss:1.14503	validation-mlogloss:1.14905
[75]	train-mlogloss:1.14244	validation-mlogloss:1.14661
[76]	train-mlogloss:1.14014	validation-mlogloss:1.14429
[77]	train-mlogloss:1.13791	validation-mlogloss:1.14201
[78]	train-mlogloss:1.13548	validation-mlogloss:1.13975
[79]	train-mlogloss:1.13328	validation-mlogloss:1.13751
[80]	train-mlogloss:1.13108	validation-mlogloss:1.13535
[81]	train-mlogloss:1.12886	validation-mlogloss:1.13312
[82]	train-mlogloss:1.12679	validation-mlogloss:1.13109
[83]	train-mlogloss:1.12434	validation-mlogloss:1.12874
[84]	train-mlogloss:1.12200	validation-mlogloss:1.12650
[85]	train-mlogloss:1.11967	validation-mlogloss:1.12435
[86]	train-mlogloss:1.11755	validation-mlogloss:1.12229
[87]	train-mlogloss:1.11555	validation-mlogloss:1.12048
[88]	train-mlogloss:1.11348	validation-mlogloss:1.11845
[89]	train-mlogloss:1.11146	validation-mlogloss:1.11641
[90]	train-mlogloss:1.10937	validation-mlogloss:1.11423
[91]	train-mlogloss:1.10738	validation-mlogloss:1.11217
[92]	train-mlogloss:1.10539	validation-mlogloss:1.11025
[93]	train-mlogloss:1.10315	validation-mlogloss:1.10799
[94]	train-mlogloss:1.10119	validation-mlogloss:1.10599
[95]	train-mlogloss:1.09927	validation-mlogloss:1.10413
[96]	train-mlogloss:1.09720	validation-mlogloss:1.10219
[97]	train-mlogloss:1.09501	validation-mlogloss:1.10006
[98]	train-mlogloss:1.09292	validation-mlogloss:1.09803
[99]	train-mlogloss:1.09077	validation-mlogloss:1.09604
[100]	train-mlogloss:1.08889	validation-mlogloss:1.09435
[101]	train-mlogloss:1.08703	validation-mlogloss:1.09245
[102]	train-mlogloss:1.08499	validation-mlogloss:1.09049
[103]	train-mlogloss:1.08317	validation-mlogloss:1.08879
[104]	train-mlogloss:1.08127	validation-mlogloss:1.08693
[105]	train-mlogloss:1.07920	validation-mlogloss:1.08501
[106]	train-mlogloss:1.07741	validation-mlogloss:1.08325
[107]	train-mlogloss:1.07557	validation-mlogloss:1.08138
[108]	train-mlogloss:1.07383	validation-mlogloss:1.07966
[109]	train-mlogloss:1.07181	validation-mlogloss:1.07768
[110]	train-mlogloss:1.06983	validation-mlogloss:1.07583
[111]	train-mlogloss:1.06781	validation-mlogloss:1.07390
[112]	train-mlogloss:1.06585	validation-mlogloss:1.07206
[113]	train-mlogloss:1.06391	validation-mlogloss:1.07020
[114]	train-mlogloss:1.06216	validation-mlogloss:1.06843
[115]	train-mlogloss:1.06047	validation-mlogloss:1.06682
[116]	train-mlogloss:1.05874	validation-mlogloss:1.06496
[117]	train-mlogloss:1.05700	validation-mlogloss:1.06327
[118]	train-mlogloss:1.05536	validation-mlogloss:1.06158
[119]	train-mlogloss:1.05372	validation-mlogloss:1.05982
[120]	train-mlogloss:1.05186	validation-mlogloss:1.05799
[121]	train-mlogloss:1.05028	validation-mlogloss:1.05636
[122]	train-mlogloss:1.04857	validation-mlogloss:1.05469
[123]	train-mlogloss:1.04692	validation-mlogloss:1.05298
[124]	train-mlogloss:1.04517	validation-mlogloss:1.05128
[125]	train-mlogloss:1.04331	validation-mlogloss:1.04938
[126]	train-mlogloss:1.04159	validation-mlogloss:1.04767
[127]	train-mlogloss:1.04006	validation-mlogloss:1.04615
[128]	train-mlogloss:1.03845	validation-mlogloss:1.04448
[129]	train-mlogloss:1.03694	validation-mlogloss:1.04292
[130]	train-mlogloss:1.03542	validation-mlogloss:1.04152
[131]	train-mlogloss:1.03395	validation-mlogloss:1.04008
[132]	train-mlogloss:1.03222	validation-mlogloss:1.03835
[133]	train-mlogloss:1.03059	validation-mlogloss:1.03687
[134]	train-mlogloss:1.02912	validation-mlogloss:1.03532
[135]	train-mlogloss:1.02753	validation-mlogloss:1.03374
[136]	train-mlogloss:1.02598	validation-mlogloss:1.03229
[137]	train-mlogloss:1.02450	validation-mlogloss:1.03069
[138]	train-mlogloss:1.02308	validation-mlogloss:1.02939
[139]	train-mlogloss:1.02155	validation-mlogloss:1.02778
[140]	train-mlogloss:1.02002	validation-mlogloss:1.02629
[141]	train-mlogloss:1.01854	validation-mlogloss:1.02489
[142]	train-mlogloss:1.01696	validation-mlogloss:1.02339
[143]	train-mlogloss:1.01555	validation-mlogloss:1.02194
[144]	train-mlogloss:1.01394	validation-mlogloss:1.02035
[145]	train-mlogloss:1.01231	validation-mlogloss:1.01867
[146]	train-mlogloss:1.01095	validation-mlogloss:1.01732
[147]	train-mlogloss:1.00940	validation-mlogloss:1.01579
[148]	train-mlogloss:1.00803	validation-mlogloss:1.01440
[149]	train-mlogloss:1.00651	validation-mlogloss:1.01287
[150]	train-mlogloss:1.00519	validation-mlogloss:1.01155
[151]	train-mlogloss:1.00368	validation-mlogloss:1.00993
[152]	train-mlogloss:1.00241	validation-mlogloss:1.00860
[153]	train-mlogloss:1.00097	validation-mlogloss:1.00722
[154]	train-mlogloss:0.99972	validation-mlogloss:1.00589
[155]	train-mlogloss:0.99835	validation-mlogloss:1.00452
[156]	train-mlogloss:0.99685	validation-mlogloss:1.00298
[157]	train-mlogloss:0.99558	validation-mlogloss:1.00171
[158]	train-mlogloss:0.99414	validation-mlogloss:1.00026
[159]	train-mlogloss:0.99270	validation-mlogloss:0.99880
[160]	train-mlogloss:0.99123	validation-mlogloss:0.99728
[161]	train-mlogloss:0.99001	validation-mlogloss:0.99612
[162]	train-mlogloss:0.98862	validation-mlogloss:0.99475
[163]	train-mlogloss:0.98737	validation-mlogloss:0.99338
[164]	train-mlogloss:0.98606	validation-mlogloss:0.99213
[165]	train-mlogloss:0.98473	validation-mlogloss:0.99075
[166]	train-mlogloss:0.98351	validation-mlogloss:0.98952
[167]	train-mlogloss:0.98216	validation-mlogloss:0.98817
[168]	train-mlogloss:0.98099	validation-mlogloss:0.98695
[169]	train-mlogloss:0.97972	validation-mlogloss:0.98568
[170]	train-mlogloss:0.97838	validation-mlogloss:0.98424
[171]	train-mlogloss:0.97714	validation-mlogloss:0.98301
[172]	train-mlogloss:0.97593	validation-mlogloss:0.98179
[173]	train-mlogloss:0.97464	validation-mlogloss:0.98045
[174]	train-mlogloss:0.97350	validation-mlogloss:0.97930
[175]	train-mlogloss:0.97219	validation-mlogloss:0.97797
[176]	train-mlogloss:0.97108	validation-mlogloss:0.97686
[177]	train-mlogloss:0.96993	validation-mlogloss:0.97560
[178]	train-mlogloss:0.96885	validation-mlogloss:0.97449
[179]	train-mlogloss:0.96750	validation-mlogloss:0.97317
[180]	train-mlogloss:0.96622	validation-mlogloss:0.97189
[181]	train-mlogloss:0.96499	validation-mlogloss:0.97056
[182]	train-mlogloss:0.96372	validation-mlogloss:0.96929
[183]	train-mlogloss:0.96248	validation-mlogloss:0.96799
[184]	train-mlogloss:0.96133	validation-mlogloss:0.96684
[185]	train-mlogloss:0.96016	validation-mlogloss:0.96560
[186]	train-mlogloss:0.95918	validation-mlogloss:0.96465
[187]	train-mlogloss:0.95800	validation-mlogloss:0.96345
[188]	train-mlogloss:0.95682	validation-mlogloss:0.96228
[189]	train-mlogloss:0.95580	validation-mlogloss:0.96129
[190]	train-mlogloss:0.95476	validation-mlogloss:0.96022
[191]	train-mlogloss:0.95360	validation-mlogloss:0.95898
[192]	train-mlogloss:0.95238	validation-mlogloss:0.95780
[193]	train-mlogloss:0.95126	validation-mlogloss:0.95671
[194]	train-mlogloss:0.95017	validation-mlogloss:0.95562
[195]	train-mlogloss:0.94905	validation-mlogloss:0.95458
[196]	train-mlogloss:0.94785	validation-mlogloss:0.95342
[197]	train-mlogloss:0.94668	validation-mlogloss:0.95221
[198]	train-mlogloss:0.94570	validation-mlogloss:0.95118
[199]	train-mlogloss:0.94471	validation-mlogloss:0.95016
[200]	train-mlogloss:0.94358	validation-mlogloss:0.94895
[201]	train-mlogloss:0.94244	validation-mlogloss:0.94786
[202]	train-mlogloss:0.94146	validation-mlogloss:0.94699
[203]	train-mlogloss:0.94054	validation-mlogloss:0.94603
[204]	train-mlogloss:0.93952	validation-mlogloss:0.94500
[205]	train-mlogloss:0.93846	validation-mlogloss:0.94393
[206]	train-mlogloss:0.93739	validation-mlogloss:0.94280
[207]	train-mlogloss:0.93625	validation-mlogloss:0.94176
[208]	train-mlogloss:0.93518	validation-mlogloss:0.94073
[209]	train-mlogloss:0.93423	validation-mlogloss:0.93983
[210]	train-mlogloss:0.93324	validation-mlogloss:0.93881
[211]	train-mlogloss:0.93221	validation-mlogloss:0.93775
[212]	train-mlogloss:0.93137	validation-mlogloss:0.93686
[213]	train-mlogloss:0.93033	validation-mlogloss:0.93577
[214]	train-mlogloss:0.92930	validation-mlogloss:0.93476
[215]	train-mlogloss:0.92822	validation-mlogloss:0.93364
[216]	train-mlogloss:0.92721	validation-mlogloss:0.93271
[217]	train-mlogloss:0.92627	validation-mlogloss:0.93176
[218]	train-mlogloss:0.92530	validation-mlogloss:0.93082
[219]	train-mlogloss:0.92427	validation-mlogloss:0.92978
[220]	train-mlogloss:0.92321	validation-mlogloss:0.92871
[221]	train-mlogloss:0.92216	validation-mlogloss:0.92763
[222]	train-mlogloss:0.92124	validation-mlogloss:0.92664
[223]	train-mlogloss:0.92020	validation-mlogloss:0.92554
[224]	train-mlogloss:0.91924	validation-mlogloss:0.92456
[225]	train-mlogloss:0.91825	validation-mlogloss:0.92355
[226]	train-mlogloss:0.91737	validation-mlogloss:0.92269
[227]	train-mlogloss:0.91641	validation-mlogloss:0.92176
[228]	train-mlogloss:0.91542	validation-mlogloss:0.92072
[229]	train-mlogloss:0.91456	validation-mlogloss:0.91988
[230]	train-mlogloss:0.91350	validation-mlogloss:0.91882
[231]	train-mlogloss:0.91266	validation-mlogloss:0.91799
[232]	train-mlogloss:0.91171	validation-mlogloss:0.91702
[233]	train-mlogloss:0.91077	validation-mlogloss:0.91602
[234]	train-mlogloss:0.90984	validation-mlogloss:0.91508
[235]	train-mlogloss:0.90893	validation-mlogloss:0.91409
[236]	train-mlogloss:0.90794	validation-mlogloss:0.91311
[237]	train-mlogloss:0.90716	validation-mlogloss:0.91231
[238]	train-mlogloss:0.90639	validation-mlogloss:0.91159
[239]	train-mlogloss:0.90557	validation-mlogloss:0.91087
[240]	train-mlogloss:0.90464	validation-mlogloss:0.90992
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[242]	train-mlogloss:0.90295	validation-mlogloss:0.90813
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[263]	train-mlogloss:0.88563	validation-mlogloss:0.89050
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[268]	train-mlogloss:0.88170	validation-mlogloss:0.88657
[269]	train-mlogloss:0.88094	validation-mlogloss:0.88580
[270]	train-mlogloss:0.88001	validation-mlogloss:0.88490
[271]	train-mlogloss:0.87924	validation-mlogloss:0.88413
[272]	train-mlogloss:0.87842	validation-mlogloss:0.88333
[273]	train-mlogloss:0.87772	validation-mlogloss:0.88258
[274]	train-mlogloss:0.87697	validation-mlogloss:0.88192
[275]	train-mlogloss:0.87626	validation-mlogloss:0.88127
[276]	train-mlogloss:0.87550	validation-mlogloss:0.88054
[277]	train-mlogloss:0.87464	validation-mlogloss:0.87968
[278]	train-mlogloss:0.87387	validation-mlogloss:0.87892
[279]	train-mlogloss:0.87314	validation-mlogloss:0.87817
[280]	train-mlogloss:0.87242	validation-mlogloss:0.87744
[281]	train-mlogloss:0.87166	validation-mlogloss:0.87671
[282]	train-mlogloss:0.87098	validation-mlogloss:0.87599
[283]	train-mlogloss:0.87023	validation-mlogloss:0.87529
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[305]	train-mlogloss:0.85532	validation-mlogloss:0.86021
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[307]	train-mlogloss:0.85392	validation-mlogloss:0.85878
[308]	train-mlogloss:0.85337	validation-mlogloss:0.85831
[309]	train-mlogloss:0.85276	validation-mlogloss:0.85771
[310]	train-mlogloss:0.85203	validation-mlogloss:0.85697
[311]	train-mlogloss:0.85145	validation-mlogloss:0.85641
[312]	train-mlogloss:0.85079	validation-mlogloss:0.85576
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[314]	train-mlogloss:0.84952	validation-mlogloss:0.85449
[315]	train-mlogloss:0.84889	validation-mlogloss:0.85382
[316]	train-mlogloss:0.84820	validation-mlogloss:0.85314
[317]	train-mlogloss:0.84767	validation-mlogloss:0.85261
[318]	train-mlogloss:0.84704	validation-mlogloss:0.85204
[319]	train-mlogloss:0.84648	validation-mlogloss:0.85150
[320]	train-mlogloss:0.84587	validation-mlogloss:0.85085
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[323]	train-mlogloss:0.84406	validation-mlogloss:0.84906
[324]	train-mlogloss:0.84345	validation-mlogloss:0.84845
[325]	train-mlogloss:0.84283	validation-mlogloss:0.84778
[326]	train-mlogloss:0.84225	validation-mlogloss:0.84722
[327]	train-mlogloss:0.84165	validation-mlogloss:0.84659
[328]	train-mlogloss:0.84105	validation-mlogloss:0.84590
[329]	train-mlogloss:0.84047	validation-mlogloss:0.84535
[330]	train-mlogloss:0.83999	validation-mlogloss:0.84490
[331]	train-mlogloss:0.83945	validation-mlogloss:0.84439
[332]	train-mlogloss:0.83877	validation-mlogloss:0.84378
[333]	train-mlogloss:0.83822	validation-mlogloss:0.84316
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[338]	train-mlogloss:0.83551	validation-mlogloss:0.84048
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[343]	train-mlogloss:0.83292	validation-mlogloss:0.83792
[344]	train-mlogloss:0.83239	validation-mlogloss:0.83740
[345]	train-mlogloss:0.83187	validation-mlogloss:0.83687
[346]	train-mlogloss:0.83130	validation-mlogloss:0.83633
[347]	train-mlogloss:0.83075	validation-mlogloss:0.83577
[348]	train-mlogloss:0.83011	validation-mlogloss:0.83512
[349]	train-mlogloss:0.82964	validation-mlogloss:0.83469
[350]	train-mlogloss:0.82909	validation-mlogloss:0.83411
[351]	train-mlogloss:0.82857	validation-mlogloss:0.83359
[352]	train-mlogloss:0.82797	validation-mlogloss:0.83291
[353]	train-mlogloss:0.82750	validation-mlogloss:0.83247
[354]	train-mlogloss:0.82699	validation-mlogloss:0.83202
[355]	train-mlogloss:0.82647	validation-mlogloss:0.83147
[356]	train-mlogloss:0.82601	validation-mlogloss:0.83100
[357]	train-mlogloss:0.82549	validation-mlogloss:0.83051
[358]	train-mlogloss:0.82496	validation-mlogloss:0.83002
[359]	train-mlogloss:0.82450	validation-mlogloss:0.82963
[360]	train-mlogloss:0.82403	validation-mlogloss:0.82913
[361]	train-mlogloss:0.82356	validation-mlogloss:0.82873
[362]	train-mlogloss:0.82312	validation-mlogloss:0.82834
[363]	train-mlogloss:0.82270	validation-mlogloss:0.82798
[364]	train-mlogloss:0.82211	validation-mlogloss:0.82736
[365]	train-mlogloss:0.82159	validation-mlogloss:0.82682
[366]	train-mlogloss:0.82102	validation-mlogloss:0.82631
[367]	train-mlogloss:0.82058	validation-mlogloss:0.82590
[368]	train-mlogloss:0.82013	validation-mlogloss:0.82545
[369]	train-mlogloss:0.81970	validation-mlogloss:0.82502
[370]	train-mlogloss:0.81927	validation-mlogloss:0.82461
[371]	train-mlogloss:0.81886	validation-mlogloss:0.82428
[372]	train-mlogloss:0.81834	validation-mlogloss:0.82384
[373]	train-mlogloss:0.81792	validation-mlogloss:0.82353
[374]	train-mlogloss:0.81758	validation-mlogloss:0.82313
[375]	train-mlogloss:0.81713	validation-mlogloss:0.82270
[376]	train-mlogloss:0.81658	validation-mlogloss:0.82218
[377]	train-mlogloss:0.81618	validation-mlogloss:0.82177
[378]	train-mlogloss:0.81571	validation-mlogloss:0.82135
[379]	train-mlogloss:0.81517	validation-mlogloss:0.82083
[380]	train-mlogloss:0.81472	validation-mlogloss:0.82041
[381]	train-mlogloss:0.81425	validation-mlogloss:0.82003
[382]	train-mlogloss:0.81379	validation-mlogloss:0.81967
[383]	train-mlogloss:0.81338	validation-mlogloss:0.81929
[384]	train-mlogloss:0.81290	validation-mlogloss:0.81883
[385]	train-mlogloss:0.81243	validation-mlogloss:0.81830
[386]	train-mlogloss:0.81191	validation-mlogloss:0.81782
[387]	train-mlogloss:0.81149	validation-mlogloss:0.81737
[388]	train-mlogloss:0.81108	validation-mlogloss:0.81695
[389]	train-mlogloss:0.81059	validation-mlogloss:0.81650
[390]	train-mlogloss:0.81016	validation-mlogloss:0.81613
[391]	train-mlogloss:0.80966	validation-mlogloss:0.81564
[392]	train-mlogloss:0.80924	validation-mlogloss:0.81522
[393]	train-mlogloss:0.80882	validation-mlogloss:0.81483
[394]	train-mlogloss:0.80834	validation-mlogloss:0.81434
[395]	train-mlogloss:0.80792	validation-mlogloss:0.81395
[396]	train-mlogloss:0.80755	validation-mlogloss:0.81357
[397]	train-mlogloss:0.80713	validation-mlogloss:0.81322
[398]	train-mlogloss:0.80672	validation-mlogloss:0.81285
[399]	train-mlogloss:0.80638	validation-mlogloss:0.81247
[400]	train-mlogloss:0.80595	validation-mlogloss:0.81199
[401]	train-mlogloss:0.80552	validation-mlogloss:0.81152
[402]	train-mlogloss:0.80518	validation-mlogloss:0.81114
[403]	train-mlogloss:0.80478	validation-mlogloss:0.81080
[404]	train-mlogloss:0.80439	validation-mlogloss:0.81045
[405]	train-mlogloss:0.80399	validation-mlogloss:0.81011
[406]	train-mlogloss:0.80360	validation-mlogloss:0.80978
[407]	train-mlogloss:0.80324	validation-mlogloss:0.80938
[408]	train-mlogloss:0.80285	validation-mlogloss:0.80901
[409]	train-mlogloss:0.80244	validation-mlogloss:0.80863
[410]	train-mlogloss:0.80202	validation-mlogloss:0.80827
[411]	train-mlogloss:0.80154	validation-mlogloss:0.80780
[412]	train-mlogloss:0.80107	validation-mlogloss:0.80736
[413]	train-mlogloss:0.80065	validation-mlogloss:0.80713
[414]	train-mlogloss:0.80026	validation-mlogloss:0.80680
[415]	train-mlogloss:0.79994	validation-mlogloss:0.80656
[416]	train-mlogloss:0.79952	validation-mlogloss:0.80618
[417]	train-mlogloss:0.79913	validation-mlogloss:0.80588
[418]	train-mlogloss:0.79874	validation-mlogloss:0.80549
[419]	train-mlogloss:0.79834	validation-mlogloss:0.80510
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.0 [%]
Global accuracy score (test) = 67.83 [%]
Global F1 score (train) = 68.55 [%]
Global F1 score (test) = 67.7 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.37      0.46       400
MODERATE-INTENSITY       0.52      0.79      0.63       400
         SEDENTARY       0.83      0.85      0.84       400
VIGOROUS-INTENSITY       0.89      0.70      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.68      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 6: 67.83 [%]
F1-score capturado en la ejecución 6: 67.7 [%]

=== EJECUCIÓN 7 ===

--- TRAIN (ejecución 7) ---

--- TEST (ejecución 7) ---
2025-11-07 10:39:02.711917: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:39:02.723854: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508342.738069 2400344 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508342.742519 2400344 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508342.753055 2400344 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508342.753079 2400344 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508342.753088 2400344 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508342.753090 2400344 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:39:02.756365: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38185	validation-mlogloss:1.38187
[1]	train-mlogloss:1.37744	validation-mlogloss:1.37756
[2]	train-mlogloss:1.37274	validation-mlogloss:1.37324
[3]	train-mlogloss:1.36846	validation-mlogloss:1.36911
[4]	train-mlogloss:1.36418	validation-mlogloss:1.36494
[5]	train-mlogloss:1.36002	validation-mlogloss:1.36081
[6]	train-mlogloss:1.35596	validation-mlogloss:1.35700
[7]	train-mlogloss:1.35192	validation-mlogloss:1.35313
[8]	train-mlogloss:1.34786	validation-mlogloss:1.34901
[9]	train-mlogloss:1.34382	validation-mlogloss:1.34496
[10]	train-mlogloss:1.33975	validation-mlogloss:1.34102
[11]	train-mlogloss:1.33576	validation-mlogloss:1.33704
[12]	train-mlogloss:1.33186	validation-mlogloss:1.33334
[13]	train-mlogloss:1.32798	validation-mlogloss:1.32938
[14]	train-mlogloss:1.32409	validation-mlogloss:1.32554
[15]	train-mlogloss:1.32047	validation-mlogloss:1.32216
[16]	train-mlogloss:1.31667	validation-mlogloss:1.31827
[17]	train-mlogloss:1.31295	validation-mlogloss:1.31474
[18]	train-mlogloss:1.30920	validation-mlogloss:1.31097
[19]	train-mlogloss:1.30559	validation-mlogloss:1.30747
[20]	train-mlogloss:1.30203	validation-mlogloss:1.30398
[21]	train-mlogloss:1.29841	validation-mlogloss:1.30035
[22]	train-mlogloss:1.29498	validation-mlogloss:1.29684
[23]	train-mlogloss:1.29143	validation-mlogloss:1.29324
[24]	train-mlogloss:1.28792	validation-mlogloss:1.28973
[25]	train-mlogloss:1.28440	validation-mlogloss:1.28622
[26]	train-mlogloss:1.28099	validation-mlogloss:1.28280
[27]	train-mlogloss:1.27726	validation-mlogloss:1.27917
[28]	train-mlogloss:1.27350	validation-mlogloss:1.27552
[29]	train-mlogloss:1.27022	validation-mlogloss:1.27232
[30]	train-mlogloss:1.26693	validation-mlogloss:1.26931
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[330]	train-mlogloss:0.84513	validation-mlogloss:0.85341
[331]	train-mlogloss:0.84464	validation-mlogloss:0.85287
[332]	train-mlogloss:0.84410	validation-mlogloss:0.85236
[333]	train-mlogloss:0.84356	validation-mlogloss:0.85192
[334]	train-mlogloss:0.84310	validation-mlogloss:0.85155
[335]	train-mlogloss:0.84252	validation-mlogloss:0.85098
[336]	train-mlogloss:0.84197	validation-mlogloss:0.85046
[337]	train-mlogloss:0.84141	validation-mlogloss:0.84989
[338]	train-mlogloss:0.84086	validation-mlogloss:0.84941
[339]	train-mlogloss:0.84026	validation-mlogloss:0.84889
[340]	train-mlogloss:0.83967	validation-mlogloss:0.84827
[341]	train-mlogloss:0.83908	validation-mlogloss:0.84771
[342]	train-mlogloss:0.83847	validation-mlogloss:0.84711
[343]	train-mlogloss:0.83789	validation-mlogloss:0.84655
[344]	train-mlogloss:0.83729	validation-mlogloss:0.84596
[345]	train-mlogloss:0.83673	validation-mlogloss:0.84542
[346]	train-mlogloss:0.83620	validation-mlogloss:0.84493
[347]	train-mlogloss:0.83562	validation-mlogloss:0.84440
[348]	train-mlogloss:0.83513	validation-mlogloss:0.84385
[349]	train-mlogloss:0.83464	validation-mlogloss:0.84340
[350]	train-mlogloss:0.83417	validation-mlogloss:0.84288
[351]	train-mlogloss:0.83368	validation-mlogloss:0.84243
[352]	train-mlogloss:0.83316	validation-mlogloss:0.84203
[353]	train-mlogloss:0.83270	validation-mlogloss:0.84160
[354]	train-mlogloss:0.83224	validation-mlogloss:0.84118
[355]	train-mlogloss:0.83169	validation-mlogloss:0.84067
[356]	train-mlogloss:0.83120	validation-mlogloss:0.84018
[357]	train-mlogloss:0.83067	validation-mlogloss:0.83965
[358]	train-mlogloss:0.83012	validation-mlogloss:0.83908
[359]	train-mlogloss:0.82971	validation-mlogloss:0.83871
[360]	train-mlogloss:0.82924	validation-mlogloss:0.83822
[361]	train-mlogloss:0.82879	validation-mlogloss:0.83779
[362]	train-mlogloss:0.82837	validation-mlogloss:0.83738
[363]	train-mlogloss:0.82794	validation-mlogloss:0.83703
[364]	train-mlogloss:0.82738	validation-mlogloss:0.83650
[365]	train-mlogloss:0.82688	validation-mlogloss:0.83593
[366]	train-mlogloss:0.82638	validation-mlogloss:0.83552
[367]	train-mlogloss:0.82596	validation-mlogloss:0.83518
[368]	train-mlogloss:0.82540	validation-mlogloss:0.83467
[369]	train-mlogloss:0.82486	validation-mlogloss:0.83415
[370]	train-mlogloss:0.82437	validation-mlogloss:0.83376
[371]	train-mlogloss:0.82391	validation-mlogloss:0.83342
[372]	train-mlogloss:0.82349	validation-mlogloss:0.83309
[373]	train-mlogloss:0.82304	validation-mlogloss:0.83266
[374]	train-mlogloss:0.82260	validation-mlogloss:0.83221
[375]	train-mlogloss:0.82217	validation-mlogloss:0.83178
[376]	train-mlogloss:0.82177	validation-mlogloss:0.83145
[377]	train-mlogloss:0.82135	validation-mlogloss:0.83111
[378]	train-mlogloss:0.82089	validation-mlogloss:0.83069
[379]	train-mlogloss:0.82041	validation-mlogloss:0.83020
[380]	train-mlogloss:0.81999	validation-mlogloss:0.82986
[381]	train-mlogloss:0.81945	validation-mlogloss:0.82935
[382]	train-mlogloss:0.81903	validation-mlogloss:0.82901
[383]	train-mlogloss:0.81856	validation-mlogloss:0.82858
[384]	train-mlogloss:0.81807	validation-mlogloss:0.82811
[385]	train-mlogloss:0.81767	validation-mlogloss:0.82779
[386]	train-mlogloss:0.81731	validation-mlogloss:0.82747
[387]	train-mlogloss:0.81689	validation-mlogloss:0.82704
[388]	train-mlogloss:0.81642	validation-mlogloss:0.82659
[389]	train-mlogloss:0.81603	validation-mlogloss:0.82621
[390]	train-mlogloss:0.81555	validation-mlogloss:0.82579
[391]	train-mlogloss:0.81516	validation-mlogloss:0.82539
[392]	train-mlogloss:0.81466	validation-mlogloss:0.82491
[393]	train-mlogloss:0.81418	validation-mlogloss:0.82449
[394]	train-mlogloss:0.81380	validation-mlogloss:0.82418
[395]	train-mlogloss:0.81340	validation-mlogloss:0.82379
[396]	train-mlogloss:0.81292	validation-mlogloss:0.82335
[397]	train-mlogloss:0.81254	validation-mlogloss:0.82305
[398]	train-mlogloss:0.81214	validation-mlogloss:0.82262
[399]	train-mlogloss:0.81172	validation-mlogloss:0.82227
[400]	train-mlogloss:0.81131	validation-mlogloss:0.82187
[401]	train-mlogloss:0.81089	validation-mlogloss:0.82152
[402]	train-mlogloss:0.81045	validation-mlogloss:0.82111
[403]	train-mlogloss:0.81006	validation-mlogloss:0.82078
[404]	train-mlogloss:0.80969	validation-mlogloss:0.82040
[405]	train-mlogloss:0.80931	validation-mlogloss:0.82003
[406]	train-mlogloss:0.80883	validation-mlogloss:0.81955
[407]	train-mlogloss:0.80836	validation-mlogloss:0.81910
[408]	train-mlogloss:0.80795	validation-mlogloss:0.81870
[409]	train-mlogloss:0.80759	validation-mlogloss:0.81832
[410]	train-mlogloss:0.80720	validation-mlogloss:0.81789
[411]	train-mlogloss:0.80678	validation-mlogloss:0.81753
[412]	train-mlogloss:0.80632	validation-mlogloss:0.81713
[413]	train-mlogloss:0.80595	validation-mlogloss:0.81677
[414]	train-mlogloss:0.80554	validation-mlogloss:0.81638
[415]	train-mlogloss:0.80516	validation-mlogloss:0.81603
[416]	train-mlogloss:0.80478	validation-mlogloss:0.81567
[417]	train-mlogloss:0.80438	validation-mlogloss:0.81536
[418]	train-mlogloss:0.80403	validation-mlogloss:0.81500
[419]	train-mlogloss:0.80360	validation-mlogloss:0.81460
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.66 [%]
Global accuracy score (test) = 68.16 [%]
Global F1 score (train) = 69.35 [%]
Global F1 score (test) = 67.96 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.38      0.46       400
MODERATE-INTENSITY       0.53      0.77      0.63       400
         SEDENTARY       0.83      0.86      0.85       400
VIGOROUS-INTENSITY       0.86      0.71      0.78       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.68      1545
      weighted avg       0.70      0.68      0.68      1545


Accuracy capturado en la ejecución 7: 68.16 [%]
F1-score capturado en la ejecución 7: 67.96 [%]

=== EJECUCIÓN 8 ===

--- TRAIN (ejecución 8) ---

--- TEST (ejecución 8) ---
2025-11-07 10:39:14.409730: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:39:14.420929: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508354.433908 2400622 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508354.438025 2400622 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508354.447931 2400622 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508354.447949 2400622 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508354.447951 2400622 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508354.447953 2400622 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:39:14.451031: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38192	validation-mlogloss:1.38186
[1]	train-mlogloss:1.37757	validation-mlogloss:1.37755
[2]	train-mlogloss:1.37320	validation-mlogloss:1.37334
[3]	train-mlogloss:1.36916	validation-mlogloss:1.36932
[4]	train-mlogloss:1.36486	validation-mlogloss:1.36488
[5]	train-mlogloss:1.36062	validation-mlogloss:1.36049
[6]	train-mlogloss:1.35643	validation-mlogloss:1.35637
[7]	train-mlogloss:1.35230	validation-mlogloss:1.35232
[8]	train-mlogloss:1.34826	validation-mlogloss:1.34827
[9]	train-mlogloss:1.34426	validation-mlogloss:1.34426
[10]	train-mlogloss:1.34019	validation-mlogloss:1.34033
[11]	train-mlogloss:1.33625	validation-mlogloss:1.33637
[12]	train-mlogloss:1.33248	validation-mlogloss:1.33279
[13]	train-mlogloss:1.32867	validation-mlogloss:1.32894
[14]	train-mlogloss:1.32485	validation-mlogloss:1.32520
[15]	train-mlogloss:1.32104	validation-mlogloss:1.32126
[16]	train-mlogloss:1.31727	validation-mlogloss:1.31732
[17]	train-mlogloss:1.31355	validation-mlogloss:1.31343
[18]	train-mlogloss:1.30991	validation-mlogloss:1.30969
[19]	train-mlogloss:1.30620	validation-mlogloss:1.30602
[20]	train-mlogloss:1.30257	validation-mlogloss:1.30234
[21]	train-mlogloss:1.29893	validation-mlogloss:1.29871
[22]	train-mlogloss:1.29538	validation-mlogloss:1.29518
[23]	train-mlogloss:1.29192	validation-mlogloss:1.29158
[24]	train-mlogloss:1.28853	validation-mlogloss:1.28810
[25]	train-mlogloss:1.28501	validation-mlogloss:1.28442
[26]	train-mlogloss:1.28159	validation-mlogloss:1.28088
[27]	train-mlogloss:1.27824	validation-mlogloss:1.27752
[28]	train-mlogloss:1.27484	validation-mlogloss:1.27413
[29]	train-mlogloss:1.27147	validation-mlogloss:1.27071
[30]	train-mlogloss:1.26816	validation-mlogloss:1.26738
[31]	train-mlogloss:1.26492	validation-mlogloss:1.26433
[32]	train-mlogloss:1.26171	validation-mlogloss:1.26116
[33]	train-mlogloss:1.25845	validation-mlogloss:1.25789
[34]	train-mlogloss:1.25529	validation-mlogloss:1.25477
[35]	train-mlogloss:1.25209	validation-mlogloss:1.25146
[36]	train-mlogloss:1.24895	validation-mlogloss:1.24837
[37]	train-mlogloss:1.24591	validation-mlogloss:1.24519
[38]	train-mlogloss:1.24285	validation-mlogloss:1.24215
[39]	train-mlogloss:1.23993	validation-mlogloss:1.23921
[40]	train-mlogloss:1.23692	validation-mlogloss:1.23607
[41]	train-mlogloss:1.23396	validation-mlogloss:1.23314
[42]	train-mlogloss:1.23098	validation-mlogloss:1.23019
[43]	train-mlogloss:1.22803	validation-mlogloss:1.22725
[44]	train-mlogloss:1.22518	validation-mlogloss:1.22440
[45]	train-mlogloss:1.22230	validation-mlogloss:1.22145
[46]	train-mlogloss:1.21948	validation-mlogloss:1.21857
[47]	train-mlogloss:1.21662	validation-mlogloss:1.21572
[48]	train-mlogloss:1.21377	validation-mlogloss:1.21293
[49]	train-mlogloss:1.21109	validation-mlogloss:1.21027
[50]	train-mlogloss:1.20846	validation-mlogloss:1.20774
[51]	train-mlogloss:1.20575	validation-mlogloss:1.20495
[52]	train-mlogloss:1.20303	validation-mlogloss:1.20214
[53]	train-mlogloss:1.20035	validation-mlogloss:1.19935
[54]	train-mlogloss:1.19766	validation-mlogloss:1.19664
[55]	train-mlogloss:1.19495	validation-mlogloss:1.19400
[56]	train-mlogloss:1.19221	validation-mlogloss:1.19125
[57]	train-mlogloss:1.18963	validation-mlogloss:1.18881
[58]	train-mlogloss:1.18705	validation-mlogloss:1.18628
[59]	train-mlogloss:1.18448	validation-mlogloss:1.18376
[60]	train-mlogloss:1.18190	validation-mlogloss:1.18113
[61]	train-mlogloss:1.17929	validation-mlogloss:1.17846
[62]	train-mlogloss:1.17677	validation-mlogloss:1.17607
[63]	train-mlogloss:1.17431	validation-mlogloss:1.17372
[64]	train-mlogloss:1.17179	validation-mlogloss:1.17117
[65]	train-mlogloss:1.16936	validation-mlogloss:1.16879
[66]	train-mlogloss:1.16662	validation-mlogloss:1.16606
[67]	train-mlogloss:1.16422	validation-mlogloss:1.16370
[68]	train-mlogloss:1.16185	validation-mlogloss:1.16135
[69]	train-mlogloss:1.15950	validation-mlogloss:1.15896
[70]	train-mlogloss:1.15707	validation-mlogloss:1.15649
[71]	train-mlogloss:1.15480	validation-mlogloss:1.15411
[72]	train-mlogloss:1.15252	validation-mlogloss:1.15190
[73]	train-mlogloss:1.15021	validation-mlogloss:1.14962
[74]	train-mlogloss:1.14788	validation-mlogloss:1.14740
[75]	train-mlogloss:1.14558	validation-mlogloss:1.14502
[76]	train-mlogloss:1.14303	validation-mlogloss:1.14259
[77]	train-mlogloss:1.14072	validation-mlogloss:1.14033
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[376]	train-mlogloss:0.82236	validation-mlogloss:0.82432
[377]	train-mlogloss:0.82186	validation-mlogloss:0.82382
[378]	train-mlogloss:0.82140	validation-mlogloss:0.82331
[379]	train-mlogloss:0.82098	validation-mlogloss:0.82293
[380]	train-mlogloss:0.82058	validation-mlogloss:0.82249
[381]	train-mlogloss:0.82017	validation-mlogloss:0.82204
[382]	train-mlogloss:0.81975	validation-mlogloss:0.82170
[383]	train-mlogloss:0.81933	validation-mlogloss:0.82129
[384]	train-mlogloss:0.81892	validation-mlogloss:0.82087
[385]	train-mlogloss:0.81849	validation-mlogloss:0.82047
[386]	train-mlogloss:0.81805	validation-mlogloss:0.82005
[387]	train-mlogloss:0.81756	validation-mlogloss:0.81955
[388]	train-mlogloss:0.81718	validation-mlogloss:0.81922
[389]	train-mlogloss:0.81683	validation-mlogloss:0.81890
[390]	train-mlogloss:0.81645	validation-mlogloss:0.81853
[391]	train-mlogloss:0.81592	validation-mlogloss:0.81806
[392]	train-mlogloss:0.81538	validation-mlogloss:0.81753
[393]	train-mlogloss:0.81493	validation-mlogloss:0.81717
[394]	train-mlogloss:0.81445	validation-mlogloss:0.81669
[395]	train-mlogloss:0.81407	validation-mlogloss:0.81637
[396]	train-mlogloss:0.81363	validation-mlogloss:0.81590
[397]	train-mlogloss:0.81327	validation-mlogloss:0.81554
[398]	train-mlogloss:0.81288	validation-mlogloss:0.81522
[399]	train-mlogloss:0.81250	validation-mlogloss:0.81490
[400]	train-mlogloss:0.81207	validation-mlogloss:0.81446
[401]	train-mlogloss:0.81161	validation-mlogloss:0.81400
[402]	train-mlogloss:0.81117	validation-mlogloss:0.81352
[403]	train-mlogloss:0.81080	validation-mlogloss:0.81319
[404]	train-mlogloss:0.81042	validation-mlogloss:0.81284
[405]	train-mlogloss:0.81000	validation-mlogloss:0.81252
[406]	train-mlogloss:0.80956	validation-mlogloss:0.81212
[407]	train-mlogloss:0.80909	validation-mlogloss:0.81166
[408]	train-mlogloss:0.80869	validation-mlogloss:0.81133
[409]	train-mlogloss:0.80823	validation-mlogloss:0.81086
[410]	train-mlogloss:0.80776	validation-mlogloss:0.81039
[411]	train-mlogloss:0.80733	validation-mlogloss:0.81002
[412]	train-mlogloss:0.80693	validation-mlogloss:0.80972
[413]	train-mlogloss:0.80653	validation-mlogloss:0.80927
[414]	train-mlogloss:0.80614	validation-mlogloss:0.80885
[415]	train-mlogloss:0.80577	validation-mlogloss:0.80852
[416]	train-mlogloss:0.80538	validation-mlogloss:0.80823
[417]	train-mlogloss:0.80495	validation-mlogloss:0.80781
[418]	train-mlogloss:0.80459	validation-mlogloss:0.80751
[419]	train-mlogloss:0.80428	validation-mlogloss:0.80726
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 0 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.06 [%]
Global accuracy score (test) = 67.57 [%]
Global F1 score (train) = 68.55 [%]
Global F1 score (test) = 67.45 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.37      0.45       400
MODERATE-INTENSITY       0.52      0.80      0.63       400
         SEDENTARY       0.83      0.83      0.83       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 8: 67.57 [%]
F1-score capturado en la ejecución 8: 67.45 [%]

=== EJECUCIÓN 9 ===

--- TRAIN (ejecución 9) ---

--- TEST (ejecución 9) ---
2025-11-07 10:39:26.161592: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:39:26.172748: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508366.185692 2400885 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508366.189726 2400885 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508366.199589 2400885 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508366.199607 2400885 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508366.199610 2400885 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508366.199611 2400885 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:39:26.202648: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38188	validation-mlogloss:1.38210
[1]	train-mlogloss:1.37754	validation-mlogloss:1.37781
[2]	train-mlogloss:1.37322	validation-mlogloss:1.37343
[3]	train-mlogloss:1.36890	validation-mlogloss:1.36902
[4]	train-mlogloss:1.36473	validation-mlogloss:1.36489
[5]	train-mlogloss:1.36056	validation-mlogloss:1.36073
[6]	train-mlogloss:1.35663	validation-mlogloss:1.35670
[7]	train-mlogloss:1.35260	validation-mlogloss:1.35260
[8]	train-mlogloss:1.34876	validation-mlogloss:1.34881
[9]	train-mlogloss:1.34486	validation-mlogloss:1.34525
[10]	train-mlogloss:1.34087	validation-mlogloss:1.34121
[11]	train-mlogloss:1.33698	validation-mlogloss:1.33721
[12]	train-mlogloss:1.33300	validation-mlogloss:1.33331
[13]	train-mlogloss:1.32908	validation-mlogloss:1.32934
[14]	train-mlogloss:1.32523	validation-mlogloss:1.32562
[15]	train-mlogloss:1.32144	validation-mlogloss:1.32172
[16]	train-mlogloss:1.31767	validation-mlogloss:1.31792
[17]	train-mlogloss:1.31383	validation-mlogloss:1.31406
[18]	train-mlogloss:1.31008	validation-mlogloss:1.31029
[19]	train-mlogloss:1.30644	validation-mlogloss:1.30671
[20]	train-mlogloss:1.30296	validation-mlogloss:1.30310
[21]	train-mlogloss:1.29927	validation-mlogloss:1.29951
[22]	train-mlogloss:1.29568	validation-mlogloss:1.29602
[23]	train-mlogloss:1.29220	validation-mlogloss:1.29230
[24]	train-mlogloss:1.28867	validation-mlogloss:1.28862
[25]	train-mlogloss:1.28522	validation-mlogloss:1.28502
[26]	train-mlogloss:1.28183	validation-mlogloss:1.28159
[27]	train-mlogloss:1.27864	validation-mlogloss:1.27852
[28]	train-mlogloss:1.27538	validation-mlogloss:1.27516
[29]	train-mlogloss:1.27198	validation-mlogloss:1.27181
[30]	train-mlogloss:1.26866	validation-mlogloss:1.26831
[31]	train-mlogloss:1.26527	validation-mlogloss:1.26509
[32]	train-mlogloss:1.26203	validation-mlogloss:1.26180
[33]	train-mlogloss:1.25887	validation-mlogloss:1.25868
[34]	train-mlogloss:1.25560	validation-mlogloss:1.25536
[35]	train-mlogloss:1.25244	validation-mlogloss:1.25226
[36]	train-mlogloss:1.24938	validation-mlogloss:1.24934
[37]	train-mlogloss:1.24622	validation-mlogloss:1.24613
[38]	train-mlogloss:1.24312	validation-mlogloss:1.24311
[39]	train-mlogloss:1.24006	validation-mlogloss:1.24018
[40]	train-mlogloss:1.23702	validation-mlogloss:1.23714
[41]	train-mlogloss:1.23395	validation-mlogloss:1.23399
[42]	train-mlogloss:1.23067	validation-mlogloss:1.23096
[43]	train-mlogloss:1.22770	validation-mlogloss:1.22800
[44]	train-mlogloss:1.22476	validation-mlogloss:1.22507
[45]	train-mlogloss:1.22186	validation-mlogloss:1.22230
[46]	train-mlogloss:1.21868	validation-mlogloss:1.21934
[47]	train-mlogloss:1.21583	validation-mlogloss:1.21647
[48]	train-mlogloss:1.21299	validation-mlogloss:1.21343
[49]	train-mlogloss:1.20989	validation-mlogloss:1.21047
[50]	train-mlogloss:1.20716	validation-mlogloss:1.20773
[51]	train-mlogloss:1.20445	validation-mlogloss:1.20503
[52]	train-mlogloss:1.20177	validation-mlogloss:1.20232
[53]	train-mlogloss:1.19924	validation-mlogloss:1.19978
[54]	train-mlogloss:1.19658	validation-mlogloss:1.19713
[55]	train-mlogloss:1.19395	validation-mlogloss:1.19452
[56]	train-mlogloss:1.19125	validation-mlogloss:1.19189
[57]	train-mlogloss:1.18867	validation-mlogloss:1.18912
[58]	train-mlogloss:1.18614	validation-mlogloss:1.18641
[59]	train-mlogloss:1.18359	validation-mlogloss:1.18371
[60]	train-mlogloss:1.18099	validation-mlogloss:1.18127
[61]	train-mlogloss:1.17817	validation-mlogloss:1.17861
[62]	train-mlogloss:1.17561	validation-mlogloss:1.17602
[63]	train-mlogloss:1.17317	validation-mlogloss:1.17375
[64]	train-mlogloss:1.17070	validation-mlogloss:1.17122
[65]	train-mlogloss:1.16807	validation-mlogloss:1.16874
[66]	train-mlogloss:1.16571	validation-mlogloss:1.16648
[67]	train-mlogloss:1.16329	validation-mlogloss:1.16409
[68]	train-mlogloss:1.16087	validation-mlogloss:1.16174
[69]	train-mlogloss:1.15849	validation-mlogloss:1.15947
[70]	train-mlogloss:1.15590	validation-mlogloss:1.15705
[71]	train-mlogloss:1.15358	validation-mlogloss:1.15467
[72]	train-mlogloss:1.15102	validation-mlogloss:1.15229
[73]	train-mlogloss:1.14872	validation-mlogloss:1.14984
[74]	train-mlogloss:1.14643	validation-mlogloss:1.14760
[75]	train-mlogloss:1.14380	validation-mlogloss:1.14498
[76]	train-mlogloss:1.14136	validation-mlogloss:1.14272
[77]	train-mlogloss:1.13911	validation-mlogloss:1.14041
[78]	train-mlogloss:1.13695	validation-mlogloss:1.13818
[79]	train-mlogloss:1.13472	validation-mlogloss:1.13584
[80]	train-mlogloss:1.13252	validation-mlogloss:1.13351
[81]	train-mlogloss:1.13030	validation-mlogloss:1.13133
[82]	train-mlogloss:1.12812	validation-mlogloss:1.12908
[83]	train-mlogloss:1.12572	validation-mlogloss:1.12676
[84]	train-mlogloss:1.12363	validation-mlogloss:1.12464
[85]	train-mlogloss:1.12128	validation-mlogloss:1.12242
[86]	train-mlogloss:1.11894	validation-mlogloss:1.12022
[87]	train-mlogloss:1.11687	validation-mlogloss:1.11812
[88]	train-mlogloss:1.11462	validation-mlogloss:1.11590
[89]	train-mlogloss:1.11270	validation-mlogloss:1.11398
[90]	train-mlogloss:1.11045	validation-mlogloss:1.11176
[91]	train-mlogloss:1.10856	validation-mlogloss:1.10984
[92]	train-mlogloss:1.10643	validation-mlogloss:1.10780
[93]	train-mlogloss:1.10441	validation-mlogloss:1.10580
[94]	train-mlogloss:1.10242	validation-mlogloss:1.10364
[95]	train-mlogloss:1.10027	validation-mlogloss:1.10165
[96]	train-mlogloss:1.09808	validation-mlogloss:1.09952
[97]	train-mlogloss:1.09596	validation-mlogloss:1.09752
[98]	train-mlogloss:1.09394	validation-mlogloss:1.09565
[99]	train-mlogloss:1.09176	validation-mlogloss:1.09340
[100]	train-mlogloss:1.08967	validation-mlogloss:1.09144
[101]	train-mlogloss:1.08769	validation-mlogloss:1.08941
[102]	train-mlogloss:1.08571	validation-mlogloss:1.08765
[103]	train-mlogloss:1.08392	validation-mlogloss:1.08584
[104]	train-mlogloss:1.08198	validation-mlogloss:1.08396
[105]	train-mlogloss:1.08022	validation-mlogloss:1.08215
[106]	train-mlogloss:1.07822	validation-mlogloss:1.08019
[107]	train-mlogloss:1.07634	validation-mlogloss:1.07827
[108]	train-mlogloss:1.07454	validation-mlogloss:1.07635
[109]	train-mlogloss:1.07258	validation-mlogloss:1.07437
[110]	train-mlogloss:1.07077	validation-mlogloss:1.07256
[111]	train-mlogloss:1.06874	validation-mlogloss:1.07052
[112]	train-mlogloss:1.06708	validation-mlogloss:1.06880
[113]	train-mlogloss:1.06526	validation-mlogloss:1.06706
[114]	train-mlogloss:1.06336	validation-mlogloss:1.06517
[115]	train-mlogloss:1.06152	validation-mlogloss:1.06333
[116]	train-mlogloss:1.05983	validation-mlogloss:1.06166
[117]	train-mlogloss:1.05812	validation-mlogloss:1.05979
[118]	train-mlogloss:1.05623	validation-mlogloss:1.05792
[119]	train-mlogloss:1.05459	validation-mlogloss:1.05625
[120]	train-mlogloss:1.05273	validation-mlogloss:1.05444
[121]	train-mlogloss:1.05113	validation-mlogloss:1.05278
[122]	train-mlogloss:1.04948	validation-mlogloss:1.05126
[123]	train-mlogloss:1.04765	validation-mlogloss:1.04932
[124]	train-mlogloss:1.04580	validation-mlogloss:1.04747
[125]	train-mlogloss:1.04403	validation-mlogloss:1.04568
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 0 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.98 [%]
Global accuracy score (test) = 69.45 [%]
Global F1 score (train) = 68.42 [%]
Global F1 score (test) = 69.35 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.40      0.47       400
MODERATE-INTENSITY       0.54      0.80      0.65       400
         SEDENTARY       0.84      0.87      0.85       400
VIGOROUS-INTENSITY       0.90      0.72      0.80       345

          accuracy                           0.69      1545
         macro avg       0.72      0.70      0.69      1545
      weighted avg       0.71      0.69      0.69      1545


Accuracy capturado en la ejecución 9: 69.45 [%]
F1-score capturado en la ejecución 9: 69.35 [%]

=== EJECUCIÓN 10 ===

--- TRAIN (ejecución 10) ---

--- TEST (ejecución 10) ---
2025-11-07 10:39:38.252920: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:39:38.264344: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508378.277552 2401141 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508378.281657 2401141 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508378.291622 2401141 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508378.291641 2401141 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508378.291643 2401141 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508378.291645 2401141 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:39:38.294743: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38179	validation-mlogloss:1.38179
[1]	train-mlogloss:1.37747	validation-mlogloss:1.37751
[2]	train-mlogloss:1.37299	validation-mlogloss:1.37311
[3]	train-mlogloss:1.36876	validation-mlogloss:1.36882
[4]	train-mlogloss:1.36448	validation-mlogloss:1.36465
[5]	train-mlogloss:1.36032	validation-mlogloss:1.36078
[6]	train-mlogloss:1.35624	validation-mlogloss:1.35667
[7]	train-mlogloss:1.35202	validation-mlogloss:1.35257
[8]	train-mlogloss:1.34797	validation-mlogloss:1.34879
[9]	train-mlogloss:1.34372	validation-mlogloss:1.34461
[10]	train-mlogloss:1.33972	validation-mlogloss:1.34063
[11]	train-mlogloss:1.33575	validation-mlogloss:1.33671
[12]	train-mlogloss:1.33180	validation-mlogloss:1.33280
[13]	train-mlogloss:1.32754	validation-mlogloss:1.32863
[14]	train-mlogloss:1.32357	validation-mlogloss:1.32454
[15]	train-mlogloss:1.31976	validation-mlogloss:1.32084
[16]	train-mlogloss:1.31598	validation-mlogloss:1.31705
[17]	train-mlogloss:1.31254	validation-mlogloss:1.31377
[18]	train-mlogloss:1.30874	validation-mlogloss:1.31011
[19]	train-mlogloss:1.30508	validation-mlogloss:1.30633
[20]	train-mlogloss:1.30140	validation-mlogloss:1.30249
[21]	train-mlogloss:1.29780	validation-mlogloss:1.29906
[22]	train-mlogloss:1.29424	validation-mlogloss:1.29576
[23]	train-mlogloss:1.29068	validation-mlogloss:1.29240
[24]	train-mlogloss:1.28712	validation-mlogloss:1.28882
[25]	train-mlogloss:1.28364	validation-mlogloss:1.28527
[26]	train-mlogloss:1.28015	validation-mlogloss:1.28197
[27]	train-mlogloss:1.27679	validation-mlogloss:1.27856
[28]	train-mlogloss:1.27337	validation-mlogloss:1.27511
[29]	train-mlogloss:1.26994	validation-mlogloss:1.27172
[30]	train-mlogloss:1.26655	validation-mlogloss:1.26836
[31]	train-mlogloss:1.26320	validation-mlogloss:1.26518
[32]	train-mlogloss:1.25992	validation-mlogloss:1.26199
[33]	train-mlogloss:1.25666	validation-mlogloss:1.25864
[34]	train-mlogloss:1.25338	validation-mlogloss:1.25555
[35]	train-mlogloss:1.24990	validation-mlogloss:1.25221
[36]	train-mlogloss:1.24672	validation-mlogloss:1.24907
[37]	train-mlogloss:1.24356	validation-mlogloss:1.24586
[38]	train-mlogloss:1.24044	validation-mlogloss:1.24282
[39]	train-mlogloss:1.23737	validation-mlogloss:1.23981
[40]	train-mlogloss:1.23440	validation-mlogloss:1.23678
[41]	train-mlogloss:1.23136	validation-mlogloss:1.23386
[42]	train-mlogloss:1.22829	validation-mlogloss:1.23074
[43]	train-mlogloss:1.22510	validation-mlogloss:1.22777
[44]	train-mlogloss:1.22213	validation-mlogloss:1.22482
[45]	train-mlogloss:1.21911	validation-mlogloss:1.22182
[46]	train-mlogloss:1.21628	validation-mlogloss:1.21894
[47]	train-mlogloss:1.21338	validation-mlogloss:1.21602
[48]	train-mlogloss:1.21056	validation-mlogloss:1.21330
[49]	train-mlogloss:1.20773	validation-mlogloss:1.21048
[50]	train-mlogloss:1.20484	validation-mlogloss:1.20777
[51]	train-mlogloss:1.20207	validation-mlogloss:1.20507
[52]	train-mlogloss:1.19938	validation-mlogloss:1.20247
[53]	train-mlogloss:1.19669	validation-mlogloss:1.19975
[54]	train-mlogloss:1.19392	validation-mlogloss:1.19700
[55]	train-mlogloss:1.19128	validation-mlogloss:1.19427
[56]	train-mlogloss:1.18865	validation-mlogloss:1.19166
[57]	train-mlogloss:1.18568	validation-mlogloss:1.18886
[58]	train-mlogloss:1.18300	validation-mlogloss:1.18617
[59]	train-mlogloss:1.18026	validation-mlogloss:1.18360
[60]	train-mlogloss:1.17768	validation-mlogloss:1.18095
[61]	train-mlogloss:1.17512	validation-mlogloss:1.17848
[62]	train-mlogloss:1.17249	validation-mlogloss:1.17582
[63]	train-mlogloss:1.16993	validation-mlogloss:1.17337
[64]	train-mlogloss:1.16722	validation-mlogloss:1.17081
[65]	train-mlogloss:1.16471	validation-mlogloss:1.16835
[66]	train-mlogloss:1.16221	validation-mlogloss:1.16580
[67]	train-mlogloss:1.15974	validation-mlogloss:1.16336
[68]	train-mlogloss:1.15727	validation-mlogloss:1.16086
[69]	train-mlogloss:1.15456	validation-mlogloss:1.15831
[70]	train-mlogloss:1.15206	validation-mlogloss:1.15582
[71]	train-mlogloss:1.14981	validation-mlogloss:1.15354
[72]	train-mlogloss:1.14718	validation-mlogloss:1.15101
[73]	train-mlogloss:1.14472	validation-mlogloss:1.14867
[74]	train-mlogloss:1.14237	validation-mlogloss:1.14639
[75]	train-mlogloss:1.14011	validation-mlogloss:1.14417
[76]	train-mlogloss:1.13782	validation-mlogloss:1.14188
[77]	train-mlogloss:1.13551	validation-mlogloss:1.13949
[78]	train-mlogloss:1.13299	validation-mlogloss:1.13706
[79]	train-mlogloss:1.13062	validation-mlogloss:1.13462
[80]	train-mlogloss:1.12840	validation-mlogloss:1.13233
[81]	train-mlogloss:1.12618	validation-mlogloss:1.13018
[82]	train-mlogloss:1.12376	validation-mlogloss:1.12790
[83]	train-mlogloss:1.12162	validation-mlogloss:1.12572
[84]	train-mlogloss:1.11947	validation-mlogloss:1.12350
[85]	train-mlogloss:1.11711	validation-mlogloss:1.12120
[86]	train-mlogloss:1.11505	validation-mlogloss:1.11925
[87]	train-mlogloss:1.11293	validation-mlogloss:1.11712
[88]	train-mlogloss:1.11085	validation-mlogloss:1.11511
[89]	train-mlogloss:1.10878	validation-mlogloss:1.11299
[90]	train-mlogloss:1.10669	validation-mlogloss:1.11089
[91]	train-mlogloss:1.10471	validation-mlogloss:1.10892
[92]	train-mlogloss:1.10245	validation-mlogloss:1.10670
[93]	train-mlogloss:1.10044	validation-mlogloss:1.10473
[94]	train-mlogloss:1.09849	validation-mlogloss:1.10275
[95]	train-mlogloss:1.09650	validation-mlogloss:1.10082
[96]	train-mlogloss:1.09457	validation-mlogloss:1.09892
[97]	train-mlogloss:1.09277	validation-mlogloss:1.09710
[98]	train-mlogloss:1.09079	validation-mlogloss:1.09514
[99]	train-mlogloss:1.08868	validation-mlogloss:1.09318
[100]	train-mlogloss:1.08682	validation-mlogloss:1.09128
[101]	train-mlogloss:1.08467	validation-mlogloss:1.08914
[102]	train-mlogloss:1.08279	validation-mlogloss:1.08741
[103]	train-mlogloss:1.08071	validation-mlogloss:1.08545
[104]	train-mlogloss:1.07887	validation-mlogloss:1.08362
[105]	train-mlogloss:1.07699	validation-mlogloss:1.08169
[106]	train-mlogloss:1.07516	validation-mlogloss:1.07994
[107]	train-mlogloss:1.07335	validation-mlogloss:1.07811
[108]	train-mlogloss:1.07130	validation-mlogloss:1.07613
[109]	train-mlogloss:1.06958	validation-mlogloss:1.07431
[110]	train-mlogloss:1.06758	validation-mlogloss:1.07243
[111]	train-mlogloss:1.06566	validation-mlogloss:1.07061
[112]	train-mlogloss:1.06388	validation-mlogloss:1.06880
[113]	train-mlogloss:1.06203	validation-mlogloss:1.06698
[114]	train-mlogloss:1.06022	validation-mlogloss:1.06518
[115]	train-mlogloss:1.05833	validation-mlogloss:1.06334
[116]	train-mlogloss:1.05647	validation-mlogloss:1.06162
[117]	train-mlogloss:1.05477	validation-mlogloss:1.05991
[118]	train-mlogloss:1.05294	validation-mlogloss:1.05819
[119]	train-mlogloss:1.05131	validation-mlogloss:1.05656
[120]	train-mlogloss:1.04946	validation-mlogloss:1.05484
[121]	train-mlogloss:1.04760	validation-mlogloss:1.05309
[122]	train-mlogloss:1.04591	validation-mlogloss:1.05143
[123]	train-mlogloss:1.04425	validation-mlogloss:1.04980
[124]	train-mlogloss:1.04264	validation-mlogloss:1.04829
[125]	train-mlogloss:1.04110	validation-mlogloss:1.04683
[126]	train-mlogloss:1.03941	validation-mlogloss:1.04518
[127]	train-mlogloss:1.03760	validation-mlogloss:1.04338
[128]	train-mlogloss:1.03601	validation-mlogloss:1.04190
[129]	train-mlogloss:1.03446	validation-mlogloss:1.04030
[130]	train-mlogloss:1.03291	validation-mlogloss:1.03880
[131]	train-mlogloss:1.03131	validation-mlogloss:1.03722
[132]	train-mlogloss:1.02959	validation-mlogloss:1.03551
[133]	train-mlogloss:1.02800	validation-mlogloss:1.03392
[134]	train-mlogloss:1.02632	validation-mlogloss:1.03232
[135]	train-mlogloss:1.02463	validation-mlogloss:1.03067
[136]	train-mlogloss:1.02304	validation-mlogloss:1.02912
[137]	train-mlogloss:1.02158	validation-mlogloss:1.02758
[138]	train-mlogloss:1.01997	validation-mlogloss:1.02612
[139]	train-mlogloss:1.01846	validation-mlogloss:1.02463
[140]	train-mlogloss:1.01683	validation-mlogloss:1.02309
[141]	train-mlogloss:1.01541	validation-mlogloss:1.02178
[142]	train-mlogloss:1.01385	validation-mlogloss:1.02029
[143]	train-mlogloss:1.01234	validation-mlogloss:1.01884
[144]	train-mlogloss:1.01078	validation-mlogloss:1.01731
[145]	train-mlogloss:1.00924	validation-mlogloss:1.01587
[146]	train-mlogloss:1.00778	validation-mlogloss:1.01447
[147]	train-mlogloss:1.00621	validation-mlogloss:1.01292
[148]	train-mlogloss:1.00482	validation-mlogloss:1.01157
[149]	train-mlogloss:1.00332	validation-mlogloss:1.01013
[150]	train-mlogloss:1.00179	validation-mlogloss:1.00858
[151]	train-mlogloss:1.00027	validation-mlogloss:1.00705
[152]	train-mlogloss:0.99894	validation-mlogloss:1.00576
[153]	train-mlogloss:0.99764	validation-mlogloss:1.00447
[154]	train-mlogloss:0.99632	validation-mlogloss:1.00305
[155]	train-mlogloss:0.99498	validation-mlogloss:1.00170
[156]	train-mlogloss:0.99358	validation-mlogloss:1.00030
[157]	train-mlogloss:0.99214	validation-mlogloss:0.99892
[158]	train-mlogloss:0.99070	validation-mlogloss:0.99751
[159]	train-mlogloss:0.98933	validation-mlogloss:0.99611
[160]	train-mlogloss:0.98795	validation-mlogloss:0.99479
[161]	train-mlogloss:0.98665	validation-mlogloss:0.99356
[162]	train-mlogloss:0.98544	validation-mlogloss:0.99236
[163]	train-mlogloss:0.98402	validation-mlogloss:0.99095
[164]	train-mlogloss:0.98277	validation-mlogloss:0.98961
[165]	train-mlogloss:0.98144	validation-mlogloss:0.98836
[166]	train-mlogloss:0.98015	validation-mlogloss:0.98716
[167]	train-mlogloss:0.97880	validation-mlogloss:0.98576
[168]	train-mlogloss:0.97757	validation-mlogloss:0.98457
[169]	train-mlogloss:0.97643	validation-mlogloss:0.98352
[170]	train-mlogloss:0.97506	validation-mlogloss:0.98208
[171]	train-mlogloss:0.97384	validation-mlogloss:0.98086
[172]	train-mlogloss:0.97252	validation-mlogloss:0.97948
[173]	train-mlogloss:0.97141	validation-mlogloss:0.97833
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[403]	train-mlogloss:0.80525	validation-mlogloss:0.81158
[404]	train-mlogloss:0.80487	validation-mlogloss:0.81127
[405]	train-mlogloss:0.80448	validation-mlogloss:0.81091
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[414]	train-mlogloss:0.80109	validation-mlogloss:0.80768
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[417]	train-mlogloss:0.79986	validation-mlogloss:0.80641
[418]	train-mlogloss:0.79952	validation-mlogloss:0.80602
[419]	train-mlogloss:0.79915	validation-mlogloss:0.80562
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.75 [%]
Global accuracy score (test) = 69.64 [%]
Global F1 score (train) = 68.09 [%]
Global F1 score (test) = 69.21 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.66      0.38      0.48       400
MODERATE-INTENSITY       0.54      0.84      0.65       400
         SEDENTARY       0.84      0.86      0.85       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.70      1545
         macro avg       0.73      0.70      0.69      1545
      weighted avg       0.72      0.70      0.69      1545


Accuracy capturado en la ejecución 10: 69.64 [%]
F1-score capturado en la ejecución 10: 69.21 [%]

=== EJECUCIÓN 11 ===

--- TRAIN (ejecución 11) ---

--- TEST (ejecución 11) ---
2025-11-07 10:39:49.991476: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:39:50.003265: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508390.017161 2401417 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508390.021272 2401417 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508390.031447 2401417 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508390.031469 2401417 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508390.031471 2401417 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508390.031473 2401417 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:39:50.034696: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38191	validation-mlogloss:1.38163
[1]	train-mlogloss:1.37752	validation-mlogloss:1.37714
[2]	train-mlogloss:1.37333	validation-mlogloss:1.37278
[3]	train-mlogloss:1.36894	validation-mlogloss:1.36825
[4]	train-mlogloss:1.36469	validation-mlogloss:1.36388
[5]	train-mlogloss:1.36051	validation-mlogloss:1.35964
[6]	train-mlogloss:1.35633	validation-mlogloss:1.35535
[7]	train-mlogloss:1.35225	validation-mlogloss:1.35111
[8]	train-mlogloss:1.34814	validation-mlogloss:1.34692
[9]	train-mlogloss:1.34419	validation-mlogloss:1.34274
[10]	train-mlogloss:1.33973	validation-mlogloss:1.33852
[11]	train-mlogloss:1.33588	validation-mlogloss:1.33478
[12]	train-mlogloss:1.33203	validation-mlogloss:1.33084
[13]	train-mlogloss:1.32818	validation-mlogloss:1.32680
[14]	train-mlogloss:1.32437	validation-mlogloss:1.32286
[15]	train-mlogloss:1.32052	validation-mlogloss:1.31885
[16]	train-mlogloss:1.31680	validation-mlogloss:1.31512
[17]	train-mlogloss:1.31307	validation-mlogloss:1.31122
[18]	train-mlogloss:1.30950	validation-mlogloss:1.30772
[19]	train-mlogloss:1.30587	validation-mlogloss:1.30405
[20]	train-mlogloss:1.30236	validation-mlogloss:1.30054
[21]	train-mlogloss:1.29885	validation-mlogloss:1.29712
[22]	train-mlogloss:1.29528	validation-mlogloss:1.29350
[23]	train-mlogloss:1.29185	validation-mlogloss:1.28990
[24]	train-mlogloss:1.28833	validation-mlogloss:1.28640
[25]	train-mlogloss:1.28492	validation-mlogloss:1.28279
[26]	train-mlogloss:1.28155	validation-mlogloss:1.27949
[27]	train-mlogloss:1.27823	validation-mlogloss:1.27618
[28]	train-mlogloss:1.27500	validation-mlogloss:1.27300
[29]	train-mlogloss:1.27166	validation-mlogloss:1.26955
[30]	train-mlogloss:1.26830	validation-mlogloss:1.26602
[31]	train-mlogloss:1.26520	validation-mlogloss:1.26297
[32]	train-mlogloss:1.26200	validation-mlogloss:1.25959
[33]	train-mlogloss:1.25887	validation-mlogloss:1.25629
[34]	train-mlogloss:1.25589	validation-mlogloss:1.25348
[35]	train-mlogloss:1.25274	validation-mlogloss:1.25026
[36]	train-mlogloss:1.24970	validation-mlogloss:1.24702
[37]	train-mlogloss:1.24623	validation-mlogloss:1.24360
[38]	train-mlogloss:1.24334	validation-mlogloss:1.24060
[39]	train-mlogloss:1.24031	validation-mlogloss:1.23753
[40]	train-mlogloss:1.23737	validation-mlogloss:1.23447
[41]	train-mlogloss:1.23441	validation-mlogloss:1.23141
[42]	train-mlogloss:1.23155	validation-mlogloss:1.22842
[43]	train-mlogloss:1.22863	validation-mlogloss:1.22533
[44]	train-mlogloss:1.22581	validation-mlogloss:1.22266
[45]	train-mlogloss:1.22295	validation-mlogloss:1.21976
[46]	train-mlogloss:1.22009	validation-mlogloss:1.21693
[47]	train-mlogloss:1.21734	validation-mlogloss:1.21422
[48]	train-mlogloss:1.21453	validation-mlogloss:1.21138
[49]	train-mlogloss:1.21176	validation-mlogloss:1.20845
[50]	train-mlogloss:1.20901	validation-mlogloss:1.20573
[51]	train-mlogloss:1.20620	validation-mlogloss:1.20285
[52]	train-mlogloss:1.20349	validation-mlogloss:1.20007
[53]	train-mlogloss:1.20046	validation-mlogloss:1.19707
[54]	train-mlogloss:1.19781	validation-mlogloss:1.19442
[55]	train-mlogloss:1.19516	validation-mlogloss:1.19162
[56]	train-mlogloss:1.19252	validation-mlogloss:1.18892
[57]	train-mlogloss:1.18992	validation-mlogloss:1.18621
[58]	train-mlogloss:1.18727	validation-mlogloss:1.18360
[59]	train-mlogloss:1.18472	validation-mlogloss:1.18077
[60]	train-mlogloss:1.18217	validation-mlogloss:1.17815
[61]	train-mlogloss:1.17965	validation-mlogloss:1.17565
[62]	train-mlogloss:1.17721	validation-mlogloss:1.17318
[63]	train-mlogloss:1.17471	validation-mlogloss:1.17056
[64]	train-mlogloss:1.17221	validation-mlogloss:1.16801
[65]	train-mlogloss:1.16950	validation-mlogloss:1.16546
[66]	train-mlogloss:1.16684	validation-mlogloss:1.16286
[67]	train-mlogloss:1.16414	validation-mlogloss:1.16023
[68]	train-mlogloss:1.16153	validation-mlogloss:1.15774
[69]	train-mlogloss:1.15901	validation-mlogloss:1.15540
[70]	train-mlogloss:1.15643	validation-mlogloss:1.15287
[71]	train-mlogloss:1.15414	validation-mlogloss:1.15057
[72]	train-mlogloss:1.15179	validation-mlogloss:1.14818
[73]	train-mlogloss:1.14953	validation-mlogloss:1.14590
[74]	train-mlogloss:1.14727	validation-mlogloss:1.14367
[75]	train-mlogloss:1.14497	validation-mlogloss:1.14136
[76]	train-mlogloss:1.14292	validation-mlogloss:1.13925
[77]	train-mlogloss:1.14046	validation-mlogloss:1.13683
[78]	train-mlogloss:1.13803	validation-mlogloss:1.13437
[79]	train-mlogloss:1.13575	validation-mlogloss:1.13199
[80]	train-mlogloss:1.13364	validation-mlogloss:1.12991
[81]	train-mlogloss:1.13115	validation-mlogloss:1.12751
[82]	train-mlogloss:1.12884	validation-mlogloss:1.12523
[83]	train-mlogloss:1.12640	validation-mlogloss:1.12274
[84]	train-mlogloss:1.12413	validation-mlogloss:1.12065
[85]	train-mlogloss:1.12178	validation-mlogloss:1.11835
[86]	train-mlogloss:1.11968	validation-mlogloss:1.11617
[87]	train-mlogloss:1.11740	validation-mlogloss:1.11397
[88]	train-mlogloss:1.11545	validation-mlogloss:1.11197
[89]	train-mlogloss:1.11320	validation-mlogloss:1.10980
[90]	train-mlogloss:1.11113	validation-mlogloss:1.10767
[91]	train-mlogloss:1.10916	validation-mlogloss:1.10567
[92]	train-mlogloss:1.10723	validation-mlogloss:1.10359
[93]	train-mlogloss:1.10530	validation-mlogloss:1.10161
[94]	train-mlogloss:1.10309	validation-mlogloss:1.09940
[95]	train-mlogloss:1.10131	validation-mlogloss:1.09753
[96]	train-mlogloss:1.09915	validation-mlogloss:1.09539
[97]	train-mlogloss:1.09727	validation-mlogloss:1.09342
[98]	train-mlogloss:1.09536	validation-mlogloss:1.09139
[99]	train-mlogloss:1.09338	validation-mlogloss:1.08954
[100]	train-mlogloss:1.09130	validation-mlogloss:1.08750
[101]	train-mlogloss:1.08939	validation-mlogloss:1.08547
[102]	train-mlogloss:1.08759	validation-mlogloss:1.08356
[103]	train-mlogloss:1.08560	validation-mlogloss:1.08156
[104]	train-mlogloss:1.08377	validation-mlogloss:1.07975
[105]	train-mlogloss:1.08172	validation-mlogloss:1.07774
[106]	train-mlogloss:1.07995	validation-mlogloss:1.07591
[107]	train-mlogloss:1.07796	validation-mlogloss:1.07390
[108]	train-mlogloss:1.07616	validation-mlogloss:1.07192
[109]	train-mlogloss:1.07431	validation-mlogloss:1.07008
[110]	train-mlogloss:1.07229	validation-mlogloss:1.06804
[111]	train-mlogloss:1.07062	validation-mlogloss:1.06643
[112]	train-mlogloss:1.06887	validation-mlogloss:1.06462
[113]	train-mlogloss:1.06700	validation-mlogloss:1.06279
[114]	train-mlogloss:1.06518	validation-mlogloss:1.06091
[115]	train-mlogloss:1.06335	validation-mlogloss:1.05918
[116]	train-mlogloss:1.06150	validation-mlogloss:1.05733
[117]	train-mlogloss:1.05989	validation-mlogloss:1.05552
[118]	train-mlogloss:1.05824	validation-mlogloss:1.05375
[119]	train-mlogloss:1.05651	validation-mlogloss:1.05208
[120]	train-mlogloss:1.05489	validation-mlogloss:1.05038
[121]	train-mlogloss:1.05324	validation-mlogloss:1.04877
[122]	train-mlogloss:1.05156	validation-mlogloss:1.04704
[123]	train-mlogloss:1.04985	validation-mlogloss:1.04538
[124]	train-mlogloss:1.04832	validation-mlogloss:1.04368
[125]	train-mlogloss:1.04665	validation-mlogloss:1.04210
[126]	train-mlogloss:1.04503	validation-mlogloss:1.04061
[127]	train-mlogloss:1.04336	validation-mlogloss:1.03902
[128]	train-mlogloss:1.04173	validation-mlogloss:1.03748
[129]	train-mlogloss:1.04026	validation-mlogloss:1.03603
[130]	train-mlogloss:1.03855	validation-mlogloss:1.03436
[131]	train-mlogloss:1.03697	validation-mlogloss:1.03285
[132]	train-mlogloss:1.03554	validation-mlogloss:1.03137
[133]	train-mlogloss:1.03390	validation-mlogloss:1.02978
[134]	train-mlogloss:1.03233	validation-mlogloss:1.02830
[135]	train-mlogloss:1.03089	validation-mlogloss:1.02673
[136]	train-mlogloss:1.02946	validation-mlogloss:1.02520
[137]	train-mlogloss:1.02806	validation-mlogloss:1.02373
[138]	train-mlogloss:1.02646	validation-mlogloss:1.02212
[139]	train-mlogloss:1.02489	validation-mlogloss:1.02065
[140]	train-mlogloss:1.02330	validation-mlogloss:1.01918
[141]	train-mlogloss:1.02192	validation-mlogloss:1.01773
[142]	train-mlogloss:1.02048	validation-mlogloss:1.01626
[143]	train-mlogloss:1.01911	validation-mlogloss:1.01489
[144]	train-mlogloss:1.01757	validation-mlogloss:1.01331
[145]	train-mlogloss:1.01623	validation-mlogloss:1.01189
[146]	train-mlogloss:1.01468	validation-mlogloss:1.01025
[147]	train-mlogloss:1.01320	validation-mlogloss:1.00883
[148]	train-mlogloss:1.01182	validation-mlogloss:1.00742
[149]	train-mlogloss:1.01049	validation-mlogloss:1.00596
[150]	train-mlogloss:1.00904	validation-mlogloss:1.00467
[151]	train-mlogloss:1.00767	validation-mlogloss:1.00328
[152]	train-mlogloss:1.00628	validation-mlogloss:1.00192
[153]	train-mlogloss:1.00493	validation-mlogloss:1.00063
[154]	train-mlogloss:1.00368	validation-mlogloss:0.99933
[155]	train-mlogloss:1.00221	validation-mlogloss:0.99779
[156]	train-mlogloss:1.00079	validation-mlogloss:0.99640
[157]	train-mlogloss:0.99948	validation-mlogloss:0.99511
[158]	train-mlogloss:0.99806	validation-mlogloss:0.99368
[159]	train-mlogloss:0.99679	validation-mlogloss:0.99244
[160]	train-mlogloss:0.99555	validation-mlogloss:0.99122
[161]	train-mlogloss:0.99428	validation-mlogloss:0.98994
[162]	train-mlogloss:0.99299	validation-mlogloss:0.98871
[163]	train-mlogloss:0.99166	validation-mlogloss:0.98738
[164]	train-mlogloss:0.99043	validation-mlogloss:0.98621
[165]	train-mlogloss:0.98926	validation-mlogloss:0.98497
[166]	train-mlogloss:0.98803	validation-mlogloss:0.98366
[167]	train-mlogloss:0.98685	validation-mlogloss:0.98253
[168]	train-mlogloss:0.98562	validation-mlogloss:0.98139
[169]	train-mlogloss:0.98442	validation-mlogloss:0.98005
[170]	train-mlogloss:0.98308	validation-mlogloss:0.97871
[171]	train-mlogloss:0.98181	validation-mlogloss:0.97737
[172]	train-mlogloss:0.98055	validation-mlogloss:0.97613
[173]	train-mlogloss:0.97938	validation-mlogloss:0.97497
[174]	train-mlogloss:0.97804	validation-mlogloss:0.97353
[175]	train-mlogloss:0.97686	validation-mlogloss:0.97237
[176]	train-mlogloss:0.97570	validation-mlogloss:0.97119
[177]	train-mlogloss:0.97458	validation-mlogloss:0.97009
[178]	train-mlogloss:0.97351	validation-mlogloss:0.96892
[179]	train-mlogloss:0.97251	validation-mlogloss:0.96782
[180]	train-mlogloss:0.97130	validation-mlogloss:0.96661
[181]	train-mlogloss:0.97014	validation-mlogloss:0.96544
[182]	train-mlogloss:0.96911	validation-mlogloss:0.96434
[183]	train-mlogloss:0.96796	validation-mlogloss:0.96317
[184]	train-mlogloss:0.96679	validation-mlogloss:0.96191
[185]	train-mlogloss:0.96563	validation-mlogloss:0.96067
[186]	train-mlogloss:0.96457	validation-mlogloss:0.95957
[187]	train-mlogloss:0.96345	validation-mlogloss:0.95844
[188]	train-mlogloss:0.96224	validation-mlogloss:0.95715
[189]	train-mlogloss:0.96117	validation-mlogloss:0.95603
[190]	train-mlogloss:0.96006	validation-mlogloss:0.95487
[191]	train-mlogloss:0.95883	validation-mlogloss:0.95359
[192]	train-mlogloss:0.95775	validation-mlogloss:0.95257
[193]	train-mlogloss:0.95667	validation-mlogloss:0.95152
[194]	train-mlogloss:0.95564	validation-mlogloss:0.95045
[195]	train-mlogloss:0.95462	validation-mlogloss:0.94944
[196]	train-mlogloss:0.95355	validation-mlogloss:0.94836
[197]	train-mlogloss:0.95257	validation-mlogloss:0.94736
[198]	train-mlogloss:0.95160	validation-mlogloss:0.94648
[199]	train-mlogloss:0.95049	validation-mlogloss:0.94533
[200]	train-mlogloss:0.94937	validation-mlogloss:0.94413
[201]	train-mlogloss:0.94835	validation-mlogloss:0.94318
[202]	train-mlogloss:0.94740	validation-mlogloss:0.94220
[203]	train-mlogloss:0.94633	validation-mlogloss:0.94112
[204]	train-mlogloss:0.94531	validation-mlogloss:0.94004
[205]	train-mlogloss:0.94422	validation-mlogloss:0.93888
[206]	train-mlogloss:0.94324	validation-mlogloss:0.93784
[207]	train-mlogloss:0.94206	validation-mlogloss:0.93662
[208]	train-mlogloss:0.94102	validation-mlogloss:0.93551
[209]	train-mlogloss:0.94007	validation-mlogloss:0.93462
[210]	train-mlogloss:0.93910	validation-mlogloss:0.93366
[211]	train-mlogloss:0.93812	validation-mlogloss:0.93262
[212]	train-mlogloss:0.93708	validation-mlogloss:0.93147
[213]	train-mlogloss:0.93618	validation-mlogloss:0.93047
[214]	train-mlogloss:0.93527	validation-mlogloss:0.92954
[215]	train-mlogloss:0.93428	validation-mlogloss:0.92856
[216]	train-mlogloss:0.93326	validation-mlogloss:0.92750
[217]	train-mlogloss:0.93232	validation-mlogloss:0.92649
[218]	train-mlogloss:0.93144	validation-mlogloss:0.92553
[219]	train-mlogloss:0.93051	validation-mlogloss:0.92450
[220]	train-mlogloss:0.92953	validation-mlogloss:0.92355
[221]	train-mlogloss:0.92859	validation-mlogloss:0.92266
[222]	train-mlogloss:0.92772	validation-mlogloss:0.92176
[223]	train-mlogloss:0.92686	validation-mlogloss:0.92091
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[350]	train-mlogloss:0.83871	validation-mlogloss:0.83174
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[352]	train-mlogloss:0.83768	validation-mlogloss:0.83063
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[383]	train-mlogloss:0.82332	validation-mlogloss:0.81681
[384]	train-mlogloss:0.82292	validation-mlogloss:0.81651
[385]	train-mlogloss:0.82256	validation-mlogloss:0.81620
[386]	train-mlogloss:0.82218	validation-mlogloss:0.81585
[387]	train-mlogloss:0.82170	validation-mlogloss:0.81541
[388]	train-mlogloss:0.82124	validation-mlogloss:0.81493
[389]	train-mlogloss:0.82079	validation-mlogloss:0.81453
[390]	train-mlogloss:0.82035	validation-mlogloss:0.81411
[391]	train-mlogloss:0.81988	validation-mlogloss:0.81371
[392]	train-mlogloss:0.81938	validation-mlogloss:0.81329
[393]	train-mlogloss:0.81891	validation-mlogloss:0.81283
[394]	train-mlogloss:0.81848	validation-mlogloss:0.81241
[395]	train-mlogloss:0.81810	validation-mlogloss:0.81199
[396]	train-mlogloss:0.81771	validation-mlogloss:0.81164
[397]	train-mlogloss:0.81729	validation-mlogloss:0.81124
[398]	train-mlogloss:0.81680	validation-mlogloss:0.81075
[399]	train-mlogloss:0.81639	validation-mlogloss:0.81032
[400]	train-mlogloss:0.81595	validation-mlogloss:0.80987
[401]	train-mlogloss:0.81546	validation-mlogloss:0.80944
[402]	train-mlogloss:0.81503	validation-mlogloss:0.80903
[403]	train-mlogloss:0.81461	validation-mlogloss:0.80855
[404]	train-mlogloss:0.81422	validation-mlogloss:0.80819
[405]	train-mlogloss:0.81387	validation-mlogloss:0.80781
[406]	train-mlogloss:0.81349	validation-mlogloss:0.80740
[407]	train-mlogloss:0.81315	validation-mlogloss:0.80708
[408]	train-mlogloss:0.81285	validation-mlogloss:0.80677
[409]	train-mlogloss:0.81251	validation-mlogloss:0.80649
[410]	train-mlogloss:0.81209	validation-mlogloss:0.80609
[411]	train-mlogloss:0.81171	validation-mlogloss:0.80570
[412]	train-mlogloss:0.81131	validation-mlogloss:0.80540
[413]	train-mlogloss:0.81098	validation-mlogloss:0.80508
[414]	train-mlogloss:0.81056	validation-mlogloss:0.80467
[415]	train-mlogloss:0.81021	validation-mlogloss:0.80431
[416]	train-mlogloss:0.80977	validation-mlogloss:0.80392
[417]	train-mlogloss:0.80938	validation-mlogloss:0.80355
[418]	train-mlogloss:0.80902	validation-mlogloss:0.80324
[419]	train-mlogloss:0.80862	validation-mlogloss:0.80286
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.65 [%]
Global accuracy score (test) = 68.67 [%]
Global F1 score (train) = 68.3 [%]
Global F1 score (test) = 68.49 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.39      0.47       400
MODERATE-INTENSITY       0.54      0.81      0.65       400
         SEDENTARY       0.84      0.84      0.84       400
VIGOROUS-INTENSITY       0.88      0.71      0.78       345

          accuracy                           0.69      1545
         macro avg       0.71      0.69      0.68      1545
      weighted avg       0.71      0.69      0.68      1545


Accuracy capturado en la ejecución 11: 68.67 [%]
F1-score capturado en la ejecución 11: 68.49 [%]

=== EJECUCIÓN 12 ===

--- TRAIN (ejecución 12) ---

--- TEST (ejecución 12) ---
2025-11-07 10:40:01.761273: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:40:01.772622: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508401.785940 2401672 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508401.790022 2401672 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508401.799899 2401672 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508401.799919 2401672 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508401.799921 2401672 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508401.799923 2401672 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:40:01.803052: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
[0]	train-mlogloss:1.38201	validation-mlogloss:1.38177
[1]	train-mlogloss:1.37776	validation-mlogloss:1.37760
[2]	train-mlogloss:1.37347	validation-mlogloss:1.37345
[3]	train-mlogloss:1.36917	validation-mlogloss:1.36916
[4]	train-mlogloss:1.36495	validation-mlogloss:1.36487
[5]	train-mlogloss:1.36085	validation-mlogloss:1.36086
[6]	train-mlogloss:1.35664	validation-mlogloss:1.35657
[7]	train-mlogloss:1.35259	validation-mlogloss:1.35236
[8]	train-mlogloss:1.34849	validation-mlogloss:1.34809
[9]	train-mlogloss:1.34449	validation-mlogloss:1.34403
[10]	train-mlogloss:1.34061	validation-mlogloss:1.34000
[11]	train-mlogloss:1.33665	validation-mlogloss:1.33604
[12]	train-mlogloss:1.33279	validation-mlogloss:1.33198
[13]	train-mlogloss:1.32886	validation-mlogloss:1.32805
[14]	train-mlogloss:1.32523	validation-mlogloss:1.32434
[15]	train-mlogloss:1.32147	validation-mlogloss:1.32039
[16]	train-mlogloss:1.31776	validation-mlogloss:1.31667
[17]	train-mlogloss:1.31409	validation-mlogloss:1.31311
[18]	train-mlogloss:1.31041	validation-mlogloss:1.30945
[19]	train-mlogloss:1.30675	validation-mlogloss:1.30569
[20]	train-mlogloss:1.30320	validation-mlogloss:1.30207
[21]	train-mlogloss:1.29961	validation-mlogloss:1.29839
[22]	train-mlogloss:1.29610	validation-mlogloss:1.29498
[23]	train-mlogloss:1.29269	validation-mlogloss:1.29157
[24]	train-mlogloss:1.28932	validation-mlogloss:1.28811
[25]	train-mlogloss:1.28599	validation-mlogloss:1.28482
[26]	train-mlogloss:1.28260	validation-mlogloss:1.28132
[27]	train-mlogloss:1.27919	validation-mlogloss:1.27789
[28]	train-mlogloss:1.27602	validation-mlogloss:1.27466
[29]	train-mlogloss:1.27273	validation-mlogloss:1.27133
[30]	train-mlogloss:1.26946	validation-mlogloss:1.26804
[31]	train-mlogloss:1.26639	validation-mlogloss:1.26495
[32]	train-mlogloss:1.26317	validation-mlogloss:1.26174
[33]	train-mlogloss:1.26004	validation-mlogloss:1.25847
[34]	train-mlogloss:1.25682	validation-mlogloss:1.25521
[35]	train-mlogloss:1.25364	validation-mlogloss:1.25201
[36]	train-mlogloss:1.25051	validation-mlogloss:1.24894
[37]	train-mlogloss:1.24746	validation-mlogloss:1.24595
[38]	train-mlogloss:1.24437	validation-mlogloss:1.24286
[39]	train-mlogloss:1.24127	validation-mlogloss:1.23963
[40]	train-mlogloss:1.23827	validation-mlogloss:1.23660
[41]	train-mlogloss:1.23521	validation-mlogloss:1.23347
[42]	train-mlogloss:1.23223	validation-mlogloss:1.23043
[43]	train-mlogloss:1.22925	validation-mlogloss:1.22747
[44]	train-mlogloss:1.22632	validation-mlogloss:1.22444
[45]	train-mlogloss:1.22341	validation-mlogloss:1.22158
[46]	train-mlogloss:1.22059	validation-mlogloss:1.21866
[47]	train-mlogloss:1.21767	validation-mlogloss:1.21568
[48]	train-mlogloss:1.21459	validation-mlogloss:1.21268
[49]	train-mlogloss:1.21177	validation-mlogloss:1.20982
[50]	train-mlogloss:1.20903	validation-mlogloss:1.20697
[51]	train-mlogloss:1.20624	validation-mlogloss:1.20425
[52]	train-mlogloss:1.20356	validation-mlogloss:1.20165
[53]	train-mlogloss:1.20087	validation-mlogloss:1.19893
[54]	train-mlogloss:1.19813	validation-mlogloss:1.19614
[55]	train-mlogloss:1.19539	validation-mlogloss:1.19341
[56]	train-mlogloss:1.19268	validation-mlogloss:1.19054
[57]	train-mlogloss:1.18984	validation-mlogloss:1.18783
[58]	train-mlogloss:1.18722	validation-mlogloss:1.18539
[59]	train-mlogloss:1.18460	validation-mlogloss:1.18266
[60]	train-mlogloss:1.18204	validation-mlogloss:1.18010
[61]	train-mlogloss:1.17930	validation-mlogloss:1.17749
[62]	train-mlogloss:1.17677	validation-mlogloss:1.17486
[63]	train-mlogloss:1.17438	validation-mlogloss:1.17243
[64]	train-mlogloss:1.17186	validation-mlogloss:1.16994
[65]	train-mlogloss:1.16941	validation-mlogloss:1.16738
[66]	train-mlogloss:1.16672	validation-mlogloss:1.16484
[67]	train-mlogloss:1.16429	validation-mlogloss:1.16236
[68]	train-mlogloss:1.16184	validation-mlogloss:1.15987
[69]	train-mlogloss:1.15942	validation-mlogloss:1.15743
[70]	train-mlogloss:1.15700	validation-mlogloss:1.15494
[71]	train-mlogloss:1.15463	validation-mlogloss:1.15253
[72]	train-mlogloss:1.15229	validation-mlogloss:1.15015
[73]	train-mlogloss:1.14998	validation-mlogloss:1.14781
[74]	train-mlogloss:1.14771	validation-mlogloss:1.14560
[75]	train-mlogloss:1.14543	validation-mlogloss:1.14341
[76]	train-mlogloss:1.14296	validation-mlogloss:1.14103
[77]	train-mlogloss:1.14052	validation-mlogloss:1.13875
[78]	train-mlogloss:1.13804	validation-mlogloss:1.13641
[79]	train-mlogloss:1.13592	validation-mlogloss:1.13418
[80]	train-mlogloss:1.13376	validation-mlogloss:1.13199
[81]	train-mlogloss:1.13135	validation-mlogloss:1.12963
[82]	train-mlogloss:1.12918	validation-mlogloss:1.12742
[83]	train-mlogloss:1.12700	validation-mlogloss:1.12512
[84]	train-mlogloss:1.12482	validation-mlogloss:1.12288
[85]	train-mlogloss:1.12250	validation-mlogloss:1.12080
[86]	train-mlogloss:1.12043	validation-mlogloss:1.11864
[87]	train-mlogloss:1.11806	validation-mlogloss:1.11631
[88]	train-mlogloss:1.11608	validation-mlogloss:1.11441
[89]	train-mlogloss:1.11406	validation-mlogloss:1.11231
[90]	train-mlogloss:1.11189	validation-mlogloss:1.11016
[91]	train-mlogloss:1.10965	validation-mlogloss:1.10803
[92]	train-mlogloss:1.10742	validation-mlogloss:1.10584
[93]	train-mlogloss:1.10516	validation-mlogloss:1.10359
[94]	train-mlogloss:1.10320	validation-mlogloss:1.10160
[95]	train-mlogloss:1.10100	validation-mlogloss:1.09943
[96]	train-mlogloss:1.09906	validation-mlogloss:1.09746
[97]	train-mlogloss:1.09695	validation-mlogloss:1.09547
[98]	train-mlogloss:1.09482	validation-mlogloss:1.09343
[99]	train-mlogloss:1.09287	validation-mlogloss:1.09154
[100]	train-mlogloss:1.09079	validation-mlogloss:1.08953
[101]	train-mlogloss:1.08898	validation-mlogloss:1.08773
[102]	train-mlogloss:1.08712	validation-mlogloss:1.08582
[103]	train-mlogloss:1.08532	validation-mlogloss:1.08394
[104]	train-mlogloss:1.08346	validation-mlogloss:1.08198
[105]	train-mlogloss:1.08171	validation-mlogloss:1.08022
[106]	train-mlogloss:1.07982	validation-mlogloss:1.07835
[107]	train-mlogloss:1.07792	validation-mlogloss:1.07658
[108]	train-mlogloss:1.07620	validation-mlogloss:1.07487
[109]	train-mlogloss:1.07448	validation-mlogloss:1.07301
[110]	train-mlogloss:1.07283	validation-mlogloss:1.07136
[111]	train-mlogloss:1.07088	validation-mlogloss:1.06952
[112]	train-mlogloss:1.06920	validation-mlogloss:1.06777
[113]	train-mlogloss:1.06748	validation-mlogloss:1.06619
[114]	train-mlogloss:1.06570	validation-mlogloss:1.06448
[115]	train-mlogloss:1.06382	validation-mlogloss:1.06263
[116]	train-mlogloss:1.06209	validation-mlogloss:1.06089
[117]	train-mlogloss:1.06049	validation-mlogloss:1.05927
[118]	train-mlogloss:1.05881	validation-mlogloss:1.05752
[119]	train-mlogloss:1.05697	validation-mlogloss:1.05572
[120]	train-mlogloss:1.05514	validation-mlogloss:1.05389
[121]	train-mlogloss:1.05332	validation-mlogloss:1.05199
[122]	train-mlogloss:1.05166	validation-mlogloss:1.05035
[123]	train-mlogloss:1.04979	validation-mlogloss:1.04849
[124]	train-mlogloss:1.04820	validation-mlogloss:1.04694
[125]	train-mlogloss:1.04660	validation-mlogloss:1.04534
[126]	train-mlogloss:1.04486	validation-mlogloss:1.04359
[127]	train-mlogloss:1.04333	validation-mlogloss:1.04211
[128]	train-mlogloss:1.04160	validation-mlogloss:1.04038
[129]	train-mlogloss:1.03985	validation-mlogloss:1.03869
[130]	train-mlogloss:1.03834	validation-mlogloss:1.03717
[131]	train-mlogloss:1.03685	validation-mlogloss:1.03562
[132]	train-mlogloss:1.03516	validation-mlogloss:1.03385
[133]	train-mlogloss:1.03368	validation-mlogloss:1.03223
[134]	train-mlogloss:1.03220	validation-mlogloss:1.03084
[135]	train-mlogloss:1.03069	validation-mlogloss:1.02929
[136]	train-mlogloss:1.02900	validation-mlogloss:1.02750
[137]	train-mlogloss:1.02757	validation-mlogloss:1.02602
[138]	train-mlogloss:1.02602	validation-mlogloss:1.02453
[139]	train-mlogloss:1.02462	validation-mlogloss:1.02311
[140]	train-mlogloss:1.02316	validation-mlogloss:1.02164
[141]	train-mlogloss:1.02154	validation-mlogloss:1.01997
[142]	train-mlogloss:1.02013	validation-mlogloss:1.01850
[143]	train-mlogloss:1.01856	validation-mlogloss:1.01687
[144]	train-mlogloss:1.01699	validation-mlogloss:1.01526
[145]	train-mlogloss:1.01566	validation-mlogloss:1.01386
[146]	train-mlogloss:1.01430	validation-mlogloss:1.01246
[147]	train-mlogloss:1.01296	validation-mlogloss:1.01114
[148]	train-mlogloss:1.01143	validation-mlogloss:1.00962
[149]	train-mlogloss:1.01001	validation-mlogloss:1.00823
[150]	train-mlogloss:1.00856	validation-mlogloss:1.00682
[151]	train-mlogloss:1.00706	validation-mlogloss:1.00537
[152]	train-mlogloss:1.00559	validation-mlogloss:1.00391
[153]	train-mlogloss:1.00417	validation-mlogloss:1.00251
[154]	train-mlogloss:1.00289	validation-mlogloss:1.00111
[155]	train-mlogloss:1.00145	validation-mlogloss:0.99972
[156]	train-mlogloss:0.99994	validation-mlogloss:0.99814
[157]	train-mlogloss:0.99869	validation-mlogloss:0.99691
[158]	train-mlogloss:0.99746	validation-mlogloss:0.99557
[159]	train-mlogloss:0.99618	validation-mlogloss:0.99429
[160]	train-mlogloss:0.99494	validation-mlogloss:0.99307
[161]	train-mlogloss:0.99378	validation-mlogloss:0.99192
[162]	train-mlogloss:0.99239	validation-mlogloss:0.99046
[163]	train-mlogloss:0.99118	validation-mlogloss:0.98920
[164]	train-mlogloss:0.98982	validation-mlogloss:0.98782
[165]	train-mlogloss:0.98842	validation-mlogloss:0.98641
[166]	train-mlogloss:0.98727	validation-mlogloss:0.98522
[167]	train-mlogloss:0.98608	validation-mlogloss:0.98406
[168]	train-mlogloss:0.98489	validation-mlogloss:0.98287
[169]	train-mlogloss:0.98374	validation-mlogloss:0.98160
[170]	train-mlogloss:0.98239	validation-mlogloss:0.98013
[171]	train-mlogloss:0.98107	validation-mlogloss:0.97878
[172]	train-mlogloss:0.97992	validation-mlogloss:0.97765
[173]	train-mlogloss:0.97873	validation-mlogloss:0.97645
[174]	train-mlogloss:0.97766	validation-mlogloss:0.97534
[175]	train-mlogloss:0.97653	validation-mlogloss:0.97414
[176]	train-mlogloss:0.97524	validation-mlogloss:0.97286
[177]	train-mlogloss:0.97397	validation-mlogloss:0.97151
[178]	train-mlogloss:0.97273	validation-mlogloss:0.97021
[179]	train-mlogloss:0.97151	validation-mlogloss:0.96898
[180]	train-mlogloss:0.97036	validation-mlogloss:0.96774
[181]	train-mlogloss:0.96923	validation-mlogloss:0.96659
[182]	train-mlogloss:0.96799	validation-mlogloss:0.96530
[183]	train-mlogloss:0.96675	validation-mlogloss:0.96405
[184]	train-mlogloss:0.96571	validation-mlogloss:0.96294
[185]	train-mlogloss:0.96463	validation-mlogloss:0.96182
[186]	train-mlogloss:0.96345	validation-mlogloss:0.96056
[187]	train-mlogloss:0.96238	validation-mlogloss:0.95948
[188]	train-mlogloss:0.96118	validation-mlogloss:0.95822
[189]	train-mlogloss:0.96013	validation-mlogloss:0.95713
[190]	train-mlogloss:0.95911	validation-mlogloss:0.95605
[191]	train-mlogloss:0.95815	validation-mlogloss:0.95514
[192]	train-mlogloss:0.95695	validation-mlogloss:0.95395
[193]	train-mlogloss:0.95583	validation-mlogloss:0.95282
[194]	train-mlogloss:0.95482	validation-mlogloss:0.95180
[195]	train-mlogloss:0.95366	validation-mlogloss:0.95062
[196]	train-mlogloss:0.95258	validation-mlogloss:0.94956
[197]	train-mlogloss:0.95151	validation-mlogloss:0.94842
[198]	train-mlogloss:0.95043	validation-mlogloss:0.94730
[199]	train-mlogloss:0.94943	validation-mlogloss:0.94621
[200]	train-mlogloss:0.94845	validation-mlogloss:0.94519
[201]	train-mlogloss:0.94749	validation-mlogloss:0.94420
[202]	train-mlogloss:0.94632	validation-mlogloss:0.94308
[203]	train-mlogloss:0.94527	validation-mlogloss:0.94203
[204]	train-mlogloss:0.94420	validation-mlogloss:0.94095
[205]	train-mlogloss:0.94309	validation-mlogloss:0.93974
[206]	train-mlogloss:0.94201	validation-mlogloss:0.93863
[207]	train-mlogloss:0.94112	validation-mlogloss:0.93770
[208]	train-mlogloss:0.94005	validation-mlogloss:0.93657
[209]	train-mlogloss:0.93908	validation-mlogloss:0.93551
[210]	train-mlogloss:0.93815	validation-mlogloss:0.93458
[211]	train-mlogloss:0.93706	validation-mlogloss:0.93342
[212]	train-mlogloss:0.93594	validation-mlogloss:0.93222
[213]	train-mlogloss:0.93490	validation-mlogloss:0.93118
[214]	train-mlogloss:0.93384	validation-mlogloss:0.93012
[215]	train-mlogloss:0.93290	validation-mlogloss:0.92912
[216]	train-mlogloss:0.93200	validation-mlogloss:0.92826
[217]	train-mlogloss:0.93115	validation-mlogloss:0.92741
[218]	train-mlogloss:0.93010	validation-mlogloss:0.92630
[219]	train-mlogloss:0.92915	validation-mlogloss:0.92534
[220]	train-mlogloss:0.92813	validation-mlogloss:0.92433
[221]	train-mlogloss:0.92715	validation-mlogloss:0.92328
[222]	train-mlogloss:0.92611	validation-mlogloss:0.92215
[223]	train-mlogloss:0.92514	validation-mlogloss:0.92109
[224]	train-mlogloss:0.92422	validation-mlogloss:0.92008
[225]	train-mlogloss:0.92328	validation-mlogloss:0.91911
[226]	train-mlogloss:0.92247	validation-mlogloss:0.91837
[227]	train-mlogloss:0.92150	validation-mlogloss:0.91738
[228]	train-mlogloss:0.92056	validation-mlogloss:0.91646
[229]	train-mlogloss:0.91960	validation-mlogloss:0.91538
[230]	train-mlogloss:0.91886	validation-mlogloss:0.91455
[231]	train-mlogloss:0.91796	validation-mlogloss:0.91363
[232]	train-mlogloss:0.91718	validation-mlogloss:0.91285
[233]	train-mlogloss:0.91628	validation-mlogloss:0.91188
[234]	train-mlogloss:0.91541	validation-mlogloss:0.91100
[235]	train-mlogloss:0.91463	validation-mlogloss:0.91024
[236]	train-mlogloss:0.91375	validation-mlogloss:0.90928
[237]	train-mlogloss:0.91277	validation-mlogloss:0.90836
[238]	train-mlogloss:0.91180	validation-mlogloss:0.90734
[239]	train-mlogloss:0.91089	validation-mlogloss:0.90645
[240]	train-mlogloss:0.91003	validation-mlogloss:0.90553
[241]	train-mlogloss:0.90933	validation-mlogloss:0.90483
[242]	train-mlogloss:0.90839	validation-mlogloss:0.90392
[243]	train-mlogloss:0.90742	validation-mlogloss:0.90293
[244]	train-mlogloss:0.90647	validation-mlogloss:0.90197
[245]	train-mlogloss:0.90562	validation-mlogloss:0.90124
[246]	train-mlogloss:0.90489	validation-mlogloss:0.90063
[247]	train-mlogloss:0.90399	validation-mlogloss:0.89975
[248]	train-mlogloss:0.90317	validation-mlogloss:0.89886
[249]	train-mlogloss:0.90235	validation-mlogloss:0.89798
[250]	train-mlogloss:0.90149	validation-mlogloss:0.89704
[251]	train-mlogloss:0.90056	validation-mlogloss:0.89610
[252]	train-mlogloss:0.89987	validation-mlogloss:0.89540
[253]	train-mlogloss:0.89899	validation-mlogloss:0.89442
[254]	train-mlogloss:0.89812	validation-mlogloss:0.89357
[255]	train-mlogloss:0.89728	validation-mlogloss:0.89271
[256]	train-mlogloss:0.89644	validation-mlogloss:0.89176
[257]	train-mlogloss:0.89566	validation-mlogloss:0.89093
[258]	train-mlogloss:0.89489	validation-mlogloss:0.89012
[259]	train-mlogloss:0.89411	validation-mlogloss:0.88929
[260]	train-mlogloss:0.89333	validation-mlogloss:0.88858
[261]	train-mlogloss:0.89256	validation-mlogloss:0.88779
[262]	train-mlogloss:0.89176	validation-mlogloss:0.88702
[263]	train-mlogloss:0.89102	validation-mlogloss:0.88632
[264]	train-mlogloss:0.89023	validation-mlogloss:0.88551
[265]	train-mlogloss:0.88952	validation-mlogloss:0.88480
[266]	train-mlogloss:0.88872	validation-mlogloss:0.88386
[267]	train-mlogloss:0.88797	validation-mlogloss:0.88309
[268]	train-mlogloss:0.88713	validation-mlogloss:0.88219
[269]	train-mlogloss:0.88634	validation-mlogloss:0.88134
[270]	train-mlogloss:0.88558	validation-mlogloss:0.88060
[271]	train-mlogloss:0.88479	validation-mlogloss:0.87991
[272]	train-mlogloss:0.88410	validation-mlogloss:0.87912
[273]	train-mlogloss:0.88342	validation-mlogloss:0.87847
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[279]	train-mlogloss:0.87888	validation-mlogloss:0.87367
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[297]	train-mlogloss:0.86689	validation-mlogloss:0.86192
[298]	train-mlogloss:0.86623	validation-mlogloss:0.86125
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[307]	train-mlogloss:0.86061	validation-mlogloss:0.85570
[308]	train-mlogloss:0.86002	validation-mlogloss:0.85519
[309]	train-mlogloss:0.85943	validation-mlogloss:0.85468
[310]	train-mlogloss:0.85885	validation-mlogloss:0.85406
[311]	train-mlogloss:0.85817	validation-mlogloss:0.85339
[312]	train-mlogloss:0.85754	validation-mlogloss:0.85275
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[314]	train-mlogloss:0.85632	validation-mlogloss:0.85154
[315]	train-mlogloss:0.85580	validation-mlogloss:0.85103
[316]	train-mlogloss:0.85519	validation-mlogloss:0.85047
[317]	train-mlogloss:0.85469	validation-mlogloss:0.84999
[318]	train-mlogloss:0.85413	validation-mlogloss:0.84937
[319]	train-mlogloss:0.85361	validation-mlogloss:0.84884
[320]	train-mlogloss:0.85309	validation-mlogloss:0.84829
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[323]	train-mlogloss:0.85119	validation-mlogloss:0.84632
[324]	train-mlogloss:0.85059	validation-mlogloss:0.84571
[325]	train-mlogloss:0.85001	validation-mlogloss:0.84515
[326]	train-mlogloss:0.84952	validation-mlogloss:0.84470
[327]	train-mlogloss:0.84889	validation-mlogloss:0.84408
[328]	train-mlogloss:0.84830	validation-mlogloss:0.84350
[329]	train-mlogloss:0.84775	validation-mlogloss:0.84299
[330]	train-mlogloss:0.84727	validation-mlogloss:0.84265
[331]	train-mlogloss:0.84680	validation-mlogloss:0.84222
[332]	train-mlogloss:0.84629	validation-mlogloss:0.84183
[333]	train-mlogloss:0.84575	validation-mlogloss:0.84129
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[336]	train-mlogloss:0.84414	validation-mlogloss:0.83975
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[338]	train-mlogloss:0.84309	validation-mlogloss:0.83866
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[342]	train-mlogloss:0.84094	validation-mlogloss:0.83660
[343]	train-mlogloss:0.84043	validation-mlogloss:0.83612
[344]	train-mlogloss:0.83992	validation-mlogloss:0.83569
[345]	train-mlogloss:0.83941	validation-mlogloss:0.83518
[346]	train-mlogloss:0.83894	validation-mlogloss:0.83475
[347]	train-mlogloss:0.83842	validation-mlogloss:0.83422
[348]	train-mlogloss:0.83791	validation-mlogloss:0.83371
[349]	train-mlogloss:0.83740	validation-mlogloss:0.83319
[350]	train-mlogloss:0.83681	validation-mlogloss:0.83267
[351]	train-mlogloss:0.83626	validation-mlogloss:0.83216
[352]	train-mlogloss:0.83577	validation-mlogloss:0.83171
[353]	train-mlogloss:0.83536	validation-mlogloss:0.83132
[354]	train-mlogloss:0.83488	validation-mlogloss:0.83092
[355]	train-mlogloss:0.83435	validation-mlogloss:0.83042
[356]	train-mlogloss:0.83379	validation-mlogloss:0.82983
[357]	train-mlogloss:0.83330	validation-mlogloss:0.82934
[358]	train-mlogloss:0.83279	validation-mlogloss:0.82879
[359]	train-mlogloss:0.83222	validation-mlogloss:0.82821
[360]	train-mlogloss:0.83174	validation-mlogloss:0.82777
[361]	train-mlogloss:0.83128	validation-mlogloss:0.82732
[362]	train-mlogloss:0.83078	validation-mlogloss:0.82692
[363]	train-mlogloss:0.83022	validation-mlogloss:0.82637
[364]	train-mlogloss:0.82971	validation-mlogloss:0.82589
[365]	train-mlogloss:0.82924	validation-mlogloss:0.82541
[366]	train-mlogloss:0.82873	validation-mlogloss:0.82502
[367]	train-mlogloss:0.82821	validation-mlogloss:0.82445
[368]	train-mlogloss:0.82768	validation-mlogloss:0.82396
[369]	train-mlogloss:0.82722	validation-mlogloss:0.82353
[370]	train-mlogloss:0.82669	validation-mlogloss:0.82293
[371]	train-mlogloss:0.82619	validation-mlogloss:0.82239
[372]	train-mlogloss:0.82573	validation-mlogloss:0.82195
[373]	train-mlogloss:0.82526	validation-mlogloss:0.82150
[374]	train-mlogloss:0.82483	validation-mlogloss:0.82113
[375]	train-mlogloss:0.82437	validation-mlogloss:0.82069
[376]	train-mlogloss:0.82396	validation-mlogloss:0.82033
[377]	train-mlogloss:0.82354	validation-mlogloss:0.81987
[378]	train-mlogloss:0.82310	validation-mlogloss:0.81944
[379]	train-mlogloss:0.82270	validation-mlogloss:0.81903
[380]	train-mlogloss:0.82226	validation-mlogloss:0.81856
[381]	train-mlogloss:0.82186	validation-mlogloss:0.81823
[382]	train-mlogloss:0.82139	validation-mlogloss:0.81775
[383]	train-mlogloss:0.82098	validation-mlogloss:0.81733
[384]	train-mlogloss:0.82050	validation-mlogloss:0.81683
[385]	train-mlogloss:0.82002	validation-mlogloss:0.81634
[386]	train-mlogloss:0.81962	validation-mlogloss:0.81606
[387]	train-mlogloss:0.81919	validation-mlogloss:0.81561
[388]	train-mlogloss:0.81878	validation-mlogloss:0.81524
[389]	train-mlogloss:0.81835	validation-mlogloss:0.81481
[390]	train-mlogloss:0.81788	validation-mlogloss:0.81440
[391]	train-mlogloss:0.81747	validation-mlogloss:0.81400
[392]	train-mlogloss:0.81707	validation-mlogloss:0.81363
[393]	train-mlogloss:0.81670	validation-mlogloss:0.81325
[394]	train-mlogloss:0.81622	validation-mlogloss:0.81276
[395]	train-mlogloss:0.81577	validation-mlogloss:0.81231
[396]	train-mlogloss:0.81534	validation-mlogloss:0.81192
[397]	train-mlogloss:0.81497	validation-mlogloss:0.81163
[398]	train-mlogloss:0.81462	validation-mlogloss:0.81126
[399]	train-mlogloss:0.81419	validation-mlogloss:0.81083
[400]	train-mlogloss:0.81382	validation-mlogloss:0.81043
[401]	train-mlogloss:0.81348	validation-mlogloss:0.81005
[402]	train-mlogloss:0.81306	validation-mlogloss:0.80968
[403]	train-mlogloss:0.81271	validation-mlogloss:0.80933
[404]	train-mlogloss:0.81236	validation-mlogloss:0.80896
[405]	train-mlogloss:0.81196	validation-mlogloss:0.80863
[406]	train-mlogloss:0.81159	validation-mlogloss:0.80822
[407]	train-mlogloss:0.81118	validation-mlogloss:0.80785
[408]	train-mlogloss:0.81079	validation-mlogloss:0.80750
[409]	train-mlogloss:0.81037	validation-mlogloss:0.80707
[410]	train-mlogloss:0.80999	validation-mlogloss:0.80669
[411]	train-mlogloss:0.80954	validation-mlogloss:0.80628
[412]	train-mlogloss:0.80909	validation-mlogloss:0.80592
[413]	train-mlogloss:0.80873	validation-mlogloss:0.80553
[414]	train-mlogloss:0.80831	validation-mlogloss:0.80519
[415]	train-mlogloss:0.80795	validation-mlogloss:0.80487
[416]	train-mlogloss:0.80757	validation-mlogloss:0.80450
[417]	train-mlogloss:0.80724	validation-mlogloss:0.80416
[418]	train-mlogloss:0.80677	validation-mlogloss:0.80370
[419]	train-mlogloss:0.80644	validation-mlogloss:0.80337
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.95 [%]
Global accuracy score (test) = 68.16 [%]
Global F1 score (train) = 68.39 [%]
Global F1 score (test) = 67.78 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.35      0.45       400
MODERATE-INTENSITY       0.52      0.81      0.63       400
         SEDENTARY       0.84      0.85      0.84       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.68      1545
      weighted avg       0.71      0.68      0.67      1545


Accuracy capturado en la ejecución 12: 68.16 [%]
F1-score capturado en la ejecución 12: 67.78 [%]

=== EJECUCIÓN 13 ===

--- TRAIN (ejecución 13) ---

--- TEST (ejecución 13) ---
2025-11-07 10:40:13.517940: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:40:13.529145: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508413.542307 2401924 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508413.546552 2401924 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508413.557222 2401924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508413.557244 2401924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508413.557246 2401924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508413.557248 2401924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:40:13.560524: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38188	validation-mlogloss:1.38177
[1]	train-mlogloss:1.37751	validation-mlogloss:1.37758
[2]	train-mlogloss:1.37309	validation-mlogloss:1.37347
[3]	train-mlogloss:1.36890	validation-mlogloss:1.36952
[4]	train-mlogloss:1.36453	validation-mlogloss:1.36523
[5]	train-mlogloss:1.36039	validation-mlogloss:1.36133
[6]	train-mlogloss:1.35620	validation-mlogloss:1.35714
[7]	train-mlogloss:1.35199	validation-mlogloss:1.35301
[8]	train-mlogloss:1.34805	validation-mlogloss:1.34917
[9]	train-mlogloss:1.34410	validation-mlogloss:1.34523
[10]	train-mlogloss:1.34019	validation-mlogloss:1.34146
[11]	train-mlogloss:1.33585	validation-mlogloss:1.33747
[12]	train-mlogloss:1.33202	validation-mlogloss:1.33359
[13]	train-mlogloss:1.32814	validation-mlogloss:1.32971
[14]	train-mlogloss:1.32432	validation-mlogloss:1.32592
[15]	train-mlogloss:1.32058	validation-mlogloss:1.32221
[16]	train-mlogloss:1.31689	validation-mlogloss:1.31877
[17]	train-mlogloss:1.31317	validation-mlogloss:1.31492
[18]	train-mlogloss:1.30940	validation-mlogloss:1.31104
[19]	train-mlogloss:1.30578	validation-mlogloss:1.30745
[20]	train-mlogloss:1.30217	validation-mlogloss:1.30376
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[321]	train-mlogloss:0.84899	validation-mlogloss:0.85431
[322]	train-mlogloss:0.84839	validation-mlogloss:0.85371
[323]	train-mlogloss:0.84788	validation-mlogloss:0.85324
[324]	train-mlogloss:0.84723	validation-mlogloss:0.85264
[325]	train-mlogloss:0.84669	validation-mlogloss:0.85220
[326]	train-mlogloss:0.84618	validation-mlogloss:0.85166
[327]	train-mlogloss:0.84562	validation-mlogloss:0.85117
[328]	train-mlogloss:0.84504	validation-mlogloss:0.85062
[329]	train-mlogloss:0.84446	validation-mlogloss:0.85007
[330]	train-mlogloss:0.84393	validation-mlogloss:0.84962
[331]	train-mlogloss:0.84330	validation-mlogloss:0.84901
[332]	train-mlogloss:0.84269	validation-mlogloss:0.84832
[333]	train-mlogloss:0.84218	validation-mlogloss:0.84787
[334]	train-mlogloss:0.84159	validation-mlogloss:0.84735
[335]	train-mlogloss:0.84104	validation-mlogloss:0.84684
[336]	train-mlogloss:0.84050	validation-mlogloss:0.84638
[337]	train-mlogloss:0.83996	validation-mlogloss:0.84584
[338]	train-mlogloss:0.83947	validation-mlogloss:0.84530
[339]	train-mlogloss:0.83888	validation-mlogloss:0.84467
[340]	train-mlogloss:0.83837	validation-mlogloss:0.84413
[341]	train-mlogloss:0.83784	validation-mlogloss:0.84360
[342]	train-mlogloss:0.83730	validation-mlogloss:0.84302
[343]	train-mlogloss:0.83683	validation-mlogloss:0.84263
[344]	train-mlogloss:0.83623	validation-mlogloss:0.84206
[345]	train-mlogloss:0.83566	validation-mlogloss:0.84149
[346]	train-mlogloss:0.83510	validation-mlogloss:0.84100
[347]	train-mlogloss:0.83451	validation-mlogloss:0.84044
[348]	train-mlogloss:0.83397	validation-mlogloss:0.83992
[349]	train-mlogloss:0.83349	validation-mlogloss:0.83947
[350]	train-mlogloss:0.83295	validation-mlogloss:0.83906
[351]	train-mlogloss:0.83243	validation-mlogloss:0.83858
[352]	train-mlogloss:0.83182	validation-mlogloss:0.83794
[353]	train-mlogloss:0.83122	validation-mlogloss:0.83738
[354]	train-mlogloss:0.83070	validation-mlogloss:0.83689
[355]	train-mlogloss:0.83014	validation-mlogloss:0.83637
[356]	train-mlogloss:0.82968	validation-mlogloss:0.83595
[357]	train-mlogloss:0.82918	validation-mlogloss:0.83542
[358]	train-mlogloss:0.82860	validation-mlogloss:0.83488
[359]	train-mlogloss:0.82807	validation-mlogloss:0.83437
[360]	train-mlogloss:0.82761	validation-mlogloss:0.83391
[361]	train-mlogloss:0.82713	validation-mlogloss:0.83345
[362]	train-mlogloss:0.82671	validation-mlogloss:0.83306
[363]	train-mlogloss:0.82621	validation-mlogloss:0.83252
[364]	train-mlogloss:0.82566	validation-mlogloss:0.83200
[365]	train-mlogloss:0.82518	validation-mlogloss:0.83153
[366]	train-mlogloss:0.82473	validation-mlogloss:0.83116
[367]	train-mlogloss:0.82421	validation-mlogloss:0.83070
[368]	train-mlogloss:0.82376	validation-mlogloss:0.83030
[369]	train-mlogloss:0.82324	validation-mlogloss:0.82990
[370]	train-mlogloss:0.82283	validation-mlogloss:0.82951
[371]	train-mlogloss:0.82233	validation-mlogloss:0.82900
[372]	train-mlogloss:0.82186	validation-mlogloss:0.82854
[373]	train-mlogloss:0.82140	validation-mlogloss:0.82808
[374]	train-mlogloss:0.82094	validation-mlogloss:0.82765
[375]	train-mlogloss:0.82048	validation-mlogloss:0.82727
[376]	train-mlogloss:0.81999	validation-mlogloss:0.82681
[377]	train-mlogloss:0.81948	validation-mlogloss:0.82629
[378]	train-mlogloss:0.81891	validation-mlogloss:0.82569
[379]	train-mlogloss:0.81841	validation-mlogloss:0.82526
[380]	train-mlogloss:0.81792	validation-mlogloss:0.82478
[381]	train-mlogloss:0.81742	validation-mlogloss:0.82434
[382]	train-mlogloss:0.81700	validation-mlogloss:0.82400
[383]	train-mlogloss:0.81660	validation-mlogloss:0.82360
[384]	train-mlogloss:0.81616	validation-mlogloss:0.82313
[385]	train-mlogloss:0.81572	validation-mlogloss:0.82274
[386]	train-mlogloss:0.81534	validation-mlogloss:0.82238
[387]	train-mlogloss:0.81486	validation-mlogloss:0.82185
[388]	train-mlogloss:0.81441	validation-mlogloss:0.82144
[389]	train-mlogloss:0.81387	validation-mlogloss:0.82096
[390]	train-mlogloss:0.81340	validation-mlogloss:0.82049
[391]	train-mlogloss:0.81295	validation-mlogloss:0.82011
[392]	train-mlogloss:0.81247	validation-mlogloss:0.81963
[393]	train-mlogloss:0.81208	validation-mlogloss:0.81930
[394]	train-mlogloss:0.81166	validation-mlogloss:0.81885
[395]	train-mlogloss:0.81123	validation-mlogloss:0.81851
[396]	train-mlogloss:0.81082	validation-mlogloss:0.81808
[397]	train-mlogloss:0.81039	validation-mlogloss:0.81770
[398]	train-mlogloss:0.80993	validation-mlogloss:0.81728
[399]	train-mlogloss:0.80949	validation-mlogloss:0.81696
[400]	train-mlogloss:0.80898	validation-mlogloss:0.81651
[401]	train-mlogloss:0.80859	validation-mlogloss:0.81611
[402]	train-mlogloss:0.80820	validation-mlogloss:0.81570
[403]	train-mlogloss:0.80772	validation-mlogloss:0.81515
[404]	train-mlogloss:0.80732	validation-mlogloss:0.81484
[405]	train-mlogloss:0.80690	validation-mlogloss:0.81447
[406]	train-mlogloss:0.80652	validation-mlogloss:0.81412
[407]	train-mlogloss:0.80608	validation-mlogloss:0.81374
[408]	train-mlogloss:0.80563	validation-mlogloss:0.81328
[409]	train-mlogloss:0.80526	validation-mlogloss:0.81302
[410]	train-mlogloss:0.80480	validation-mlogloss:0.81262
[411]	train-mlogloss:0.80445	validation-mlogloss:0.81230
[412]	train-mlogloss:0.80401	validation-mlogloss:0.81190
[413]	train-mlogloss:0.80362	validation-mlogloss:0.81151
[414]	train-mlogloss:0.80323	validation-mlogloss:0.81116
[415]	train-mlogloss:0.80290	validation-mlogloss:0.81088
[416]	train-mlogloss:0.80252	validation-mlogloss:0.81050
[417]	train-mlogloss:0.80209	validation-mlogloss:0.81014
[418]	train-mlogloss:0.80168	validation-mlogloss:0.80971
[419]	train-mlogloss:0.80130	validation-mlogloss:0.80939
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.64 [%]
Global accuracy score (test) = 67.7 [%]
Global F1 score (train) = 68.13 [%]
Global F1 score (test) = 67.52 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.36      0.45       400
MODERATE-INTENSITY       0.53      0.80      0.64       400
         SEDENTARY       0.82      0.84      0.83       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.68      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 13: 67.7 [%]
F1-score capturado en la ejecución 13: 67.52 [%]

=== EJECUCIÓN 14 ===

--- TRAIN (ejecución 14) ---

--- TEST (ejecución 14) ---
2025-11-07 10:40:25.228892: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:40:25.240388: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508425.254310 2402201 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508425.258484 2402201 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508425.268626 2402201 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508425.268650 2402201 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508425.268652 2402201 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508425.268653 2402201 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:40:25.271915: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38196	validation-mlogloss:1.38226
[1]	train-mlogloss:1.37747	validation-mlogloss:1.37786
[2]	train-mlogloss:1.37325	validation-mlogloss:1.37351
[3]	train-mlogloss:1.36898	validation-mlogloss:1.36923
[4]	train-mlogloss:1.36484	validation-mlogloss:1.36500
[5]	train-mlogloss:1.36054	validation-mlogloss:1.36088
[6]	train-mlogloss:1.35631	validation-mlogloss:1.35682
[7]	train-mlogloss:1.35223	validation-mlogloss:1.35273
[8]	train-mlogloss:1.34788	validation-mlogloss:1.34854
[9]	train-mlogloss:1.34382	validation-mlogloss:1.34454
[10]	train-mlogloss:1.33985	validation-mlogloss:1.34054
[11]	train-mlogloss:1.33603	validation-mlogloss:1.33686
[12]	train-mlogloss:1.33206	validation-mlogloss:1.33293
[13]	train-mlogloss:1.32819	validation-mlogloss:1.32895
[14]	train-mlogloss:1.32430	validation-mlogloss:1.32510
[15]	train-mlogloss:1.32057	validation-mlogloss:1.32138
[16]	train-mlogloss:1.31671	validation-mlogloss:1.31749
[17]	train-mlogloss:1.31297	validation-mlogloss:1.31389
[18]	train-mlogloss:1.30890	validation-mlogloss:1.30990
[19]	train-mlogloss:1.30521	validation-mlogloss:1.30629
[20]	train-mlogloss:1.30166	validation-mlogloss:1.30284
[21]	train-mlogloss:1.29794	validation-mlogloss:1.29924
[22]	train-mlogloss:1.29431	validation-mlogloss:1.29564
[23]	train-mlogloss:1.29078	validation-mlogloss:1.29216
[24]	train-mlogloss:1.28729	validation-mlogloss:1.28869
[25]	train-mlogloss:1.28386	validation-mlogloss:1.28517
[26]	train-mlogloss:1.28061	validation-mlogloss:1.28199
[27]	train-mlogloss:1.27731	validation-mlogloss:1.27869
[28]	train-mlogloss:1.27399	validation-mlogloss:1.27555
[29]	train-mlogloss:1.27030	validation-mlogloss:1.27199
[30]	train-mlogloss:1.26696	validation-mlogloss:1.26856
[31]	train-mlogloss:1.26367	validation-mlogloss:1.26534
[32]	train-mlogloss:1.26014	validation-mlogloss:1.26200
[33]	train-mlogloss:1.25691	validation-mlogloss:1.25882
[34]	train-mlogloss:1.25375	validation-mlogloss:1.25563
[35]	train-mlogloss:1.25072	validation-mlogloss:1.25272
[36]	train-mlogloss:1.24759	validation-mlogloss:1.24954
[37]	train-mlogloss:1.24450	validation-mlogloss:1.24630
[38]	train-mlogloss:1.24144	validation-mlogloss:1.24326
[39]	train-mlogloss:1.23840	validation-mlogloss:1.24021
[40]	train-mlogloss:1.23536	validation-mlogloss:1.23708
[41]	train-mlogloss:1.23229	validation-mlogloss:1.23397
[42]	train-mlogloss:1.22932	validation-mlogloss:1.23116
[43]	train-mlogloss:1.22631	validation-mlogloss:1.22814
[44]	train-mlogloss:1.22336	validation-mlogloss:1.22525
[45]	train-mlogloss:1.22049	validation-mlogloss:1.22244
[46]	train-mlogloss:1.21759	validation-mlogloss:1.21948
[47]	train-mlogloss:1.21478	validation-mlogloss:1.21662
[48]	train-mlogloss:1.21185	validation-mlogloss:1.21367
[49]	train-mlogloss:1.20916	validation-mlogloss:1.21113
[50]	train-mlogloss:1.20640	validation-mlogloss:1.20839
[51]	train-mlogloss:1.20368	validation-mlogloss:1.20580
[52]	train-mlogloss:1.20063	validation-mlogloss:1.20300
[53]	train-mlogloss:1.19792	validation-mlogloss:1.20034
[54]	train-mlogloss:1.19522	validation-mlogloss:1.19755
[55]	train-mlogloss:1.19245	validation-mlogloss:1.19478
[56]	train-mlogloss:1.18981	validation-mlogloss:1.19200
[57]	train-mlogloss:1.18724	validation-mlogloss:1.18944
[58]	train-mlogloss:1.18470	validation-mlogloss:1.18693
[59]	train-mlogloss:1.18195	validation-mlogloss:1.18418
[60]	train-mlogloss:1.17935	validation-mlogloss:1.18164
[61]	train-mlogloss:1.17682	validation-mlogloss:1.17902
[62]	train-mlogloss:1.17422	validation-mlogloss:1.17638
[63]	train-mlogloss:1.17173	validation-mlogloss:1.17389
[64]	train-mlogloss:1.16895	validation-mlogloss:1.17126
[65]	train-mlogloss:1.16663	validation-mlogloss:1.16901
[66]	train-mlogloss:1.16395	validation-mlogloss:1.16642
[67]	train-mlogloss:1.16127	validation-mlogloss:1.16376
[68]	train-mlogloss:1.15889	validation-mlogloss:1.16141
[69]	train-mlogloss:1.15641	validation-mlogloss:1.15887
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[368]	train-mlogloss:0.82553	validation-mlogloss:0.83021
[369]	train-mlogloss:0.82509	validation-mlogloss:0.82980
[370]	train-mlogloss:0.82466	validation-mlogloss:0.82945
[371]	train-mlogloss:0.82428	validation-mlogloss:0.82904
[372]	train-mlogloss:0.82380	validation-mlogloss:0.82855
[373]	train-mlogloss:0.82335	validation-mlogloss:0.82814
[374]	train-mlogloss:0.82290	validation-mlogloss:0.82781
[375]	train-mlogloss:0.82247	validation-mlogloss:0.82743
[376]	train-mlogloss:0.82198	validation-mlogloss:0.82698
[377]	train-mlogloss:0.82147	validation-mlogloss:0.82643
[378]	train-mlogloss:0.82097	validation-mlogloss:0.82595
[379]	train-mlogloss:0.82056	validation-mlogloss:0.82557
[380]	train-mlogloss:0.82007	validation-mlogloss:0.82512
[381]	train-mlogloss:0.81967	validation-mlogloss:0.82476
[382]	train-mlogloss:0.81926	validation-mlogloss:0.82434
[383]	train-mlogloss:0.81877	validation-mlogloss:0.82387
[384]	train-mlogloss:0.81842	validation-mlogloss:0.82358
[385]	train-mlogloss:0.81797	validation-mlogloss:0.82316
[386]	train-mlogloss:0.81759	validation-mlogloss:0.82276
[387]	train-mlogloss:0.81719	validation-mlogloss:0.82237
[388]	train-mlogloss:0.81675	validation-mlogloss:0.82191
[389]	train-mlogloss:0.81635	validation-mlogloss:0.82153
[390]	train-mlogloss:0.81595	validation-mlogloss:0.82111
[391]	train-mlogloss:0.81556	validation-mlogloss:0.82075
[392]	train-mlogloss:0.81521	validation-mlogloss:0.82040
[393]	train-mlogloss:0.81474	validation-mlogloss:0.81990
[394]	train-mlogloss:0.81436	validation-mlogloss:0.81950
[395]	train-mlogloss:0.81394	validation-mlogloss:0.81906
[396]	train-mlogloss:0.81347	validation-mlogloss:0.81858
[397]	train-mlogloss:0.81310	validation-mlogloss:0.81829
[398]	train-mlogloss:0.81268	validation-mlogloss:0.81784
[399]	train-mlogloss:0.81230	validation-mlogloss:0.81748
[400]	train-mlogloss:0.81192	validation-mlogloss:0.81713
[401]	train-mlogloss:0.81155	validation-mlogloss:0.81678
[402]	train-mlogloss:0.81113	validation-mlogloss:0.81642
[403]	train-mlogloss:0.81066	validation-mlogloss:0.81598
[404]	train-mlogloss:0.81022	validation-mlogloss:0.81551
[405]	train-mlogloss:0.80989	validation-mlogloss:0.81512
[406]	train-mlogloss:0.80949	validation-mlogloss:0.81480
[407]	train-mlogloss:0.80914	validation-mlogloss:0.81440
[408]	train-mlogloss:0.80873	validation-mlogloss:0.81402
[409]	train-mlogloss:0.80829	validation-mlogloss:0.81363
[410]	train-mlogloss:0.80785	validation-mlogloss:0.81316
[411]	train-mlogloss:0.80738	validation-mlogloss:0.81271
[412]	train-mlogloss:0.80692	validation-mlogloss:0.81229
[413]	train-mlogloss:0.80653	validation-mlogloss:0.81198
[414]	train-mlogloss:0.80616	validation-mlogloss:0.81168
[415]	train-mlogloss:0.80582	validation-mlogloss:0.81130
[416]	train-mlogloss:0.80547	validation-mlogloss:0.81103
[417]	train-mlogloss:0.80502	validation-mlogloss:0.81062
[418]	train-mlogloss:0.80467	validation-mlogloss:0.81030
[419]	train-mlogloss:0.80431	validation-mlogloss:0.80987
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.83 [%]
Global accuracy score (test) = 68.22 [%]
Global F1 score (train) = 68.46 [%]
Global F1 score (test) = 68.08 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.39      0.48       400
MODERATE-INTENSITY       0.53      0.77      0.63       400
         SEDENTARY       0.82      0.86      0.84       400
VIGOROUS-INTENSITY       0.88      0.71      0.78       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.68      1545
      weighted avg       0.70      0.68      0.68      1545


Accuracy capturado en la ejecución 14: 68.22 [%]
F1-score capturado en la ejecución 14: 68.08 [%]

=== EJECUCIÓN 15 ===

--- TRAIN (ejecución 15) ---

--- TEST (ejecución 15) ---
2025-11-07 10:40:36.870182: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:40:36.881666: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508436.894929 2402454 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508436.899013 2402454 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508436.908926 2402454 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508436.908947 2402454 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508436.908949 2402454 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508436.908950 2402454 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:40:36.912059: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38196	validation-mlogloss:1.38198
[1]	train-mlogloss:1.37705	validation-mlogloss:1.37721
[2]	train-mlogloss:1.37289	validation-mlogloss:1.37295
[3]	train-mlogloss:1.36865	validation-mlogloss:1.36897
[4]	train-mlogloss:1.36438	validation-mlogloss:1.36492
[5]	train-mlogloss:1.36005	validation-mlogloss:1.36040
[6]	train-mlogloss:1.35591	validation-mlogloss:1.35613
[7]	train-mlogloss:1.35177	validation-mlogloss:1.35191
[8]	train-mlogloss:1.34771	validation-mlogloss:1.34766
[9]	train-mlogloss:1.34360	validation-mlogloss:1.34356
[10]	train-mlogloss:1.33962	validation-mlogloss:1.33946
[11]	train-mlogloss:1.33559	validation-mlogloss:1.33525
[12]	train-mlogloss:1.33161	validation-mlogloss:1.33128
[13]	train-mlogloss:1.32775	validation-mlogloss:1.32751
[14]	train-mlogloss:1.32347	validation-mlogloss:1.32359
[15]	train-mlogloss:1.31957	validation-mlogloss:1.31964
[16]	train-mlogloss:1.31541	validation-mlogloss:1.31562
[17]	train-mlogloss:1.31174	validation-mlogloss:1.31190
[18]	train-mlogloss:1.30764	validation-mlogloss:1.30799
[19]	train-mlogloss:1.30402	validation-mlogloss:1.30440
[20]	train-mlogloss:1.30030	validation-mlogloss:1.30060
[21]	train-mlogloss:1.29679	validation-mlogloss:1.29720
[22]	train-mlogloss:1.29326	validation-mlogloss:1.29363
[23]	train-mlogloss:1.28968	validation-mlogloss:1.28989
[24]	train-mlogloss:1.28613	validation-mlogloss:1.28618
[25]	train-mlogloss:1.28263	validation-mlogloss:1.28270
[26]	train-mlogloss:1.27915	validation-mlogloss:1.27914
[27]	train-mlogloss:1.27571	validation-mlogloss:1.27554
[28]	train-mlogloss:1.27224	validation-mlogloss:1.27214
[29]	train-mlogloss:1.26885	validation-mlogloss:1.26879
[30]	train-mlogloss:1.26554	validation-mlogloss:1.26544
[31]	train-mlogloss:1.26218	validation-mlogloss:1.26194
[32]	train-mlogloss:1.25894	validation-mlogloss:1.25873
[33]	train-mlogloss:1.25575	validation-mlogloss:1.25553
[34]	train-mlogloss:1.25259	validation-mlogloss:1.25236
[35]	train-mlogloss:1.24940	validation-mlogloss:1.24915
[36]	train-mlogloss:1.24591	validation-mlogloss:1.24576
[37]	train-mlogloss:1.24284	validation-mlogloss:1.24274
[38]	train-mlogloss:1.23953	validation-mlogloss:1.23964
[39]	train-mlogloss:1.23650	validation-mlogloss:1.23641
[40]	train-mlogloss:1.23358	validation-mlogloss:1.23348
[41]	train-mlogloss:1.23054	validation-mlogloss:1.23044
[42]	train-mlogloss:1.22756	validation-mlogloss:1.22738
[43]	train-mlogloss:1.22429	validation-mlogloss:1.22428
[44]	train-mlogloss:1.22130	validation-mlogloss:1.22136
[45]	train-mlogloss:1.21831	validation-mlogloss:1.21838
[46]	train-mlogloss:1.21538	validation-mlogloss:1.21552
[47]	train-mlogloss:1.21252	validation-mlogloss:1.21258
[48]	train-mlogloss:1.20971	validation-mlogloss:1.20973
[49]	train-mlogloss:1.20690	validation-mlogloss:1.20688
[50]	train-mlogloss:1.20415	validation-mlogloss:1.20413
[51]	train-mlogloss:1.20132	validation-mlogloss:1.20126
[52]	train-mlogloss:1.19851	validation-mlogloss:1.19840
[53]	train-mlogloss:1.19574	validation-mlogloss:1.19563
[54]	train-mlogloss:1.19298	validation-mlogloss:1.19280
[55]	train-mlogloss:1.19039	validation-mlogloss:1.19010
[56]	train-mlogloss:1.18765	validation-mlogloss:1.18733
[57]	train-mlogloss:1.18501	validation-mlogloss:1.18457
[58]	train-mlogloss:1.18219	validation-mlogloss:1.18187
[59]	train-mlogloss:1.17945	validation-mlogloss:1.17914
[60]	train-mlogloss:1.17691	validation-mlogloss:1.17661
[61]	train-mlogloss:1.17445	validation-mlogloss:1.17421
[62]	train-mlogloss:1.17183	validation-mlogloss:1.17161
[63]	train-mlogloss:1.16924	validation-mlogloss:1.16893
[64]	train-mlogloss:1.16676	validation-mlogloss:1.16634
[65]	train-mlogloss:1.16428	validation-mlogloss:1.16378
[66]	train-mlogloss:1.16177	validation-mlogloss:1.16132
[67]	train-mlogloss:1.15933	validation-mlogloss:1.15889
[68]	train-mlogloss:1.15692	validation-mlogloss:1.15635
[69]	train-mlogloss:1.15453	validation-mlogloss:1.15394
[70]	train-mlogloss:1.15211	validation-mlogloss:1.15139
[71]	train-mlogloss:1.14946	validation-mlogloss:1.14882
[72]	train-mlogloss:1.14718	validation-mlogloss:1.14653
[73]	train-mlogloss:1.14481	validation-mlogloss:1.14418
[74]	train-mlogloss:1.14230	validation-mlogloss:1.14181
[75]	train-mlogloss:1.14004	validation-mlogloss:1.13954
[76]	train-mlogloss:1.13750	validation-mlogloss:1.13713
[77]	train-mlogloss:1.13530	validation-mlogloss:1.13489
[78]	train-mlogloss:1.13303	validation-mlogloss:1.13265
[79]	train-mlogloss:1.13068	validation-mlogloss:1.13047
[80]	train-mlogloss:1.12851	validation-mlogloss:1.12827
[81]	train-mlogloss:1.12630	validation-mlogloss:1.12609
[82]	train-mlogloss:1.12408	validation-mlogloss:1.12380
[83]	train-mlogloss:1.12194	validation-mlogloss:1.12166
[84]	train-mlogloss:1.11987	validation-mlogloss:1.11952
[85]	train-mlogloss:1.11776	validation-mlogloss:1.11734
[86]	train-mlogloss:1.11561	validation-mlogloss:1.11516
[87]	train-mlogloss:1.11355	validation-mlogloss:1.11309
[88]	train-mlogloss:1.11147	validation-mlogloss:1.11091
[89]	train-mlogloss:1.10944	validation-mlogloss:1.10900
[90]	train-mlogloss:1.10710	validation-mlogloss:1.10659
[91]	train-mlogloss:1.10509	validation-mlogloss:1.10447
[92]	train-mlogloss:1.10311	validation-mlogloss:1.10240
[93]	train-mlogloss:1.10091	validation-mlogloss:1.10028
[94]	train-mlogloss:1.09889	validation-mlogloss:1.09815
[95]	train-mlogloss:1.09698	validation-mlogloss:1.09632
[96]	train-mlogloss:1.09504	validation-mlogloss:1.09442
[97]	train-mlogloss:1.09312	validation-mlogloss:1.09247
[98]	train-mlogloss:1.09096	validation-mlogloss:1.09037
[99]	train-mlogloss:1.08883	validation-mlogloss:1.08823
[100]	train-mlogloss:1.08694	validation-mlogloss:1.08631
[101]	train-mlogloss:1.08503	validation-mlogloss:1.08440
[102]	train-mlogloss:1.08290	validation-mlogloss:1.08224
[103]	train-mlogloss:1.08105	validation-mlogloss:1.08029
[104]	train-mlogloss:1.07925	validation-mlogloss:1.07842
[105]	train-mlogloss:1.07743	validation-mlogloss:1.07670
[106]	train-mlogloss:1.07564	validation-mlogloss:1.07490
[107]	train-mlogloss:1.07380	validation-mlogloss:1.07311
[108]	train-mlogloss:1.07200	validation-mlogloss:1.07121
[109]	train-mlogloss:1.07011	validation-mlogloss:1.06944
[110]	train-mlogloss:1.06837	validation-mlogloss:1.06764
[111]	train-mlogloss:1.06635	validation-mlogloss:1.06566
[112]	train-mlogloss:1.06461	validation-mlogloss:1.06385
[113]	train-mlogloss:1.06288	validation-mlogloss:1.06212
[114]	train-mlogloss:1.06118	validation-mlogloss:1.06045
[115]	train-mlogloss:1.05933	validation-mlogloss:1.05866
[116]	train-mlogloss:1.05764	validation-mlogloss:1.05691
[117]	train-mlogloss:1.05587	validation-mlogloss:1.05503
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[415]	train-mlogloss:0.80055	validation-mlogloss:0.79811
[416]	train-mlogloss:0.80025	validation-mlogloss:0.79780
[417]	train-mlogloss:0.79988	validation-mlogloss:0.79750
[418]	train-mlogloss:0.79943	validation-mlogloss:0.79703
[419]	train-mlogloss:0.79910	validation-mlogloss:0.79673
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.23 [%]
Global accuracy score (test) = 67.57 [%]
Global F1 score (train) = 67.69 [%]
Global F1 score (test) = 67.14 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.34      0.43       400
MODERATE-INTENSITY       0.51      0.80      0.62       400
         SEDENTARY       0.82      0.86      0.84       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 15: 67.57 [%]
F1-score capturado en la ejecución 15: 67.14 [%]

=== EJECUCIÓN 16 ===

--- TRAIN (ejecución 16) ---

--- TEST (ejecución 16) ---
2025-11-07 10:40:48.558473: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:40:48.569812: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508448.583070 2402702 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508448.587083 2402702 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508448.597135 2402702 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508448.597153 2402702 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508448.597155 2402702 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508448.597157 2402702 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:40:48.600328: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38190	validation-mlogloss:1.38185
[1]	train-mlogloss:1.37753	validation-mlogloss:1.37748
[2]	train-mlogloss:1.37325	validation-mlogloss:1.37326
[3]	train-mlogloss:1.36897	validation-mlogloss:1.36900
[4]	train-mlogloss:1.36477	validation-mlogloss:1.36478
[5]	train-mlogloss:1.36068	validation-mlogloss:1.36057
[6]	train-mlogloss:1.35652	validation-mlogloss:1.35637
[7]	train-mlogloss:1.35261	validation-mlogloss:1.35248
[8]	train-mlogloss:1.34858	validation-mlogloss:1.34855
[9]	train-mlogloss:1.34445	validation-mlogloss:1.34431
[10]	train-mlogloss:1.34050	validation-mlogloss:1.34056
[11]	train-mlogloss:1.33653	validation-mlogloss:1.33654
[12]	train-mlogloss:1.33257	validation-mlogloss:1.33261
[13]	train-mlogloss:1.32865	validation-mlogloss:1.32869
[14]	train-mlogloss:1.32487	validation-mlogloss:1.32489
[15]	train-mlogloss:1.32108	validation-mlogloss:1.32093
[16]	train-mlogloss:1.31747	validation-mlogloss:1.31733
[17]	train-mlogloss:1.31394	validation-mlogloss:1.31389
[18]	train-mlogloss:1.30984	validation-mlogloss:1.30992
[19]	train-mlogloss:1.30633	validation-mlogloss:1.30669
[20]	train-mlogloss:1.30233	validation-mlogloss:1.30284
[21]	train-mlogloss:1.29866	validation-mlogloss:1.29925
[22]	train-mlogloss:1.29507	validation-mlogloss:1.29553
[23]	train-mlogloss:1.29152	validation-mlogloss:1.29204
[24]	train-mlogloss:1.28814	validation-mlogloss:1.28884
[25]	train-mlogloss:1.28465	validation-mlogloss:1.28535
[26]	train-mlogloss:1.28116	validation-mlogloss:1.28184
[27]	train-mlogloss:1.27780	validation-mlogloss:1.27844
[28]	train-mlogloss:1.27459	validation-mlogloss:1.27529
[29]	train-mlogloss:1.27124	validation-mlogloss:1.27191
[30]	train-mlogloss:1.26791	validation-mlogloss:1.26854
[31]	train-mlogloss:1.26467	validation-mlogloss:1.26526
[32]	train-mlogloss:1.26149	validation-mlogloss:1.26227
[33]	train-mlogloss:1.25829	validation-mlogloss:1.25903
[34]	train-mlogloss:1.25520	validation-mlogloss:1.25601
[35]	train-mlogloss:1.25204	validation-mlogloss:1.25289
[36]	train-mlogloss:1.24895	validation-mlogloss:1.24977
[37]	train-mlogloss:1.24586	validation-mlogloss:1.24677
[38]	train-mlogloss:1.24285	validation-mlogloss:1.24391
[39]	train-mlogloss:1.23990	validation-mlogloss:1.24112
[40]	train-mlogloss:1.23693	validation-mlogloss:1.23821
[41]	train-mlogloss:1.23395	validation-mlogloss:1.23512
[42]	train-mlogloss:1.23094	validation-mlogloss:1.23205
[43]	train-mlogloss:1.22800	validation-mlogloss:1.22901
[44]	train-mlogloss:1.22485	validation-mlogloss:1.22596
[45]	train-mlogloss:1.22191	validation-mlogloss:1.22301
[46]	train-mlogloss:1.21918	validation-mlogloss:1.22022
[47]	train-mlogloss:1.21645	validation-mlogloss:1.21761
[48]	train-mlogloss:1.21367	validation-mlogloss:1.21486
[49]	train-mlogloss:1.21090	validation-mlogloss:1.21209
[50]	train-mlogloss:1.20824	validation-mlogloss:1.20967
[51]	train-mlogloss:1.20552	validation-mlogloss:1.20692
[52]	train-mlogloss:1.20282	validation-mlogloss:1.20417
[53]	train-mlogloss:1.20008	validation-mlogloss:1.20153
[54]	train-mlogloss:1.19745	validation-mlogloss:1.19884
[55]	train-mlogloss:1.19480	validation-mlogloss:1.19627
[56]	train-mlogloss:1.19207	validation-mlogloss:1.19359
[57]	train-mlogloss:1.18943	validation-mlogloss:1.19096
[58]	train-mlogloss:1.18681	validation-mlogloss:1.18830
[59]	train-mlogloss:1.18417	validation-mlogloss:1.18573
[60]	train-mlogloss:1.18162	validation-mlogloss:1.18315
[61]	train-mlogloss:1.17913	validation-mlogloss:1.18071
[62]	train-mlogloss:1.17666	validation-mlogloss:1.17835
[63]	train-mlogloss:1.17418	validation-mlogloss:1.17599
[64]	train-mlogloss:1.17174	validation-mlogloss:1.17352
[65]	train-mlogloss:1.16921	validation-mlogloss:1.17108
[66]	train-mlogloss:1.16676	validation-mlogloss:1.16871
[67]	train-mlogloss:1.16433	validation-mlogloss:1.16634
[68]	train-mlogloss:1.16199	validation-mlogloss:1.16389
[69]	train-mlogloss:1.15935	validation-mlogloss:1.16130
[70]	train-mlogloss:1.15698	validation-mlogloss:1.15898
[71]	train-mlogloss:1.15461	validation-mlogloss:1.15673
[72]	train-mlogloss:1.15232	validation-mlogloss:1.15443
[73]	train-mlogloss:1.15003	validation-mlogloss:1.15205
[74]	train-mlogloss:1.14775	validation-mlogloss:1.14977
[75]	train-mlogloss:1.14549	validation-mlogloss:1.14743
[76]	train-mlogloss:1.14333	validation-mlogloss:1.14528
[77]	train-mlogloss:1.14111	validation-mlogloss:1.14309
[78]	train-mlogloss:1.13886	validation-mlogloss:1.14084
[79]	train-mlogloss:1.13673	validation-mlogloss:1.13861
[80]	train-mlogloss:1.13455	validation-mlogloss:1.13630
[81]	train-mlogloss:1.13239	validation-mlogloss:1.13410
[82]	train-mlogloss:1.13021	validation-mlogloss:1.13177
[83]	train-mlogloss:1.12782	validation-mlogloss:1.12941
[84]	train-mlogloss:1.12568	validation-mlogloss:1.12731
[85]	train-mlogloss:1.12351	validation-mlogloss:1.12513
[86]	train-mlogloss:1.12127	validation-mlogloss:1.12310
[87]	train-mlogloss:1.11918	validation-mlogloss:1.12094
[88]	train-mlogloss:1.11696	validation-mlogloss:1.11878
[89]	train-mlogloss:1.11484	validation-mlogloss:1.11665
[90]	train-mlogloss:1.11284	validation-mlogloss:1.11472
[91]	train-mlogloss:1.11082	validation-mlogloss:1.11270
[92]	train-mlogloss:1.10884	validation-mlogloss:1.11069
[93]	train-mlogloss:1.10694	validation-mlogloss:1.10878
[94]	train-mlogloss:1.10492	validation-mlogloss:1.10674
[95]	train-mlogloss:1.10291	validation-mlogloss:1.10469
[96]	train-mlogloss:1.10096	validation-mlogloss:1.10274
[97]	train-mlogloss:1.09897	validation-mlogloss:1.10075
[98]	train-mlogloss:1.09707	validation-mlogloss:1.09884
[99]	train-mlogloss:1.09517	validation-mlogloss:1.09697
[100]	train-mlogloss:1.09301	validation-mlogloss:1.09490
[101]	train-mlogloss:1.09096	validation-mlogloss:1.09286
[102]	train-mlogloss:1.08886	validation-mlogloss:1.09092
[103]	train-mlogloss:1.08670	validation-mlogloss:1.08881
[104]	train-mlogloss:1.08462	validation-mlogloss:1.08684
[105]	train-mlogloss:1.08284	validation-mlogloss:1.08499
[106]	train-mlogloss:1.08104	validation-mlogloss:1.08315
[107]	train-mlogloss:1.07927	validation-mlogloss:1.08134
[108]	train-mlogloss:1.07749	validation-mlogloss:1.07951
[109]	train-mlogloss:1.07574	validation-mlogloss:1.07774
[110]	train-mlogloss:1.07392	validation-mlogloss:1.07584
[111]	train-mlogloss:1.07222	validation-mlogloss:1.07407
[112]	train-mlogloss:1.07023	validation-mlogloss:1.07207
[113]	train-mlogloss:1.06857	validation-mlogloss:1.07039
[114]	train-mlogloss:1.06671	validation-mlogloss:1.06866
[115]	train-mlogloss:1.06498	validation-mlogloss:1.06685
[116]	train-mlogloss:1.06330	validation-mlogloss:1.06516
[117]	train-mlogloss:1.06151	validation-mlogloss:1.06341
[118]	train-mlogloss:1.05983	validation-mlogloss:1.06178
[119]	train-mlogloss:1.05823	validation-mlogloss:1.06016
[120]	train-mlogloss:1.05658	validation-mlogloss:1.05843
[121]	train-mlogloss:1.05497	validation-mlogloss:1.05686
[122]	train-mlogloss:1.05334	validation-mlogloss:1.05518
[123]	train-mlogloss:1.05170	validation-mlogloss:1.05362
[124]	train-mlogloss:1.05007	validation-mlogloss:1.05192
[125]	train-mlogloss:1.04840	validation-mlogloss:1.05037
[126]	train-mlogloss:1.04690	validation-mlogloss:1.04889
[127]	train-mlogloss:1.04532	validation-mlogloss:1.04723
[128]	train-mlogloss:1.04378	validation-mlogloss:1.04566
[129]	train-mlogloss:1.04230	validation-mlogloss:1.04406
[130]	train-mlogloss:1.04060	validation-mlogloss:1.04245
[131]	train-mlogloss:1.03891	validation-mlogloss:1.04075
[132]	train-mlogloss:1.03740	validation-mlogloss:1.03921
[133]	train-mlogloss:1.03566	validation-mlogloss:1.03745
[134]	train-mlogloss:1.03400	validation-mlogloss:1.03589
[135]	train-mlogloss:1.03257	validation-mlogloss:1.03450
[136]	train-mlogloss:1.03088	validation-mlogloss:1.03280
[137]	train-mlogloss:1.02946	validation-mlogloss:1.03143
[138]	train-mlogloss:1.02797	validation-mlogloss:1.02995
[139]	train-mlogloss:1.02650	validation-mlogloss:1.02837
[140]	train-mlogloss:1.02503	validation-mlogloss:1.02684
[141]	train-mlogloss:1.02342	validation-mlogloss:1.02519
[142]	train-mlogloss:1.02201	validation-mlogloss:1.02381
[143]	train-mlogloss:1.02041	validation-mlogloss:1.02222
[144]	train-mlogloss:1.01879	validation-mlogloss:1.02052
[145]	train-mlogloss:1.01743	validation-mlogloss:1.01915
[146]	train-mlogloss:1.01596	validation-mlogloss:1.01772
[147]	train-mlogloss:1.01461	validation-mlogloss:1.01627
[148]	train-mlogloss:1.01317	validation-mlogloss:1.01488
[149]	train-mlogloss:1.01167	validation-mlogloss:1.01347
[150]	train-mlogloss:1.01035	validation-mlogloss:1.01211
[151]	train-mlogloss:1.00905	validation-mlogloss:1.01089
[152]	train-mlogloss:1.00751	validation-mlogloss:1.00934
[153]	train-mlogloss:1.00620	validation-mlogloss:1.00809
[154]	train-mlogloss:1.00468	validation-mlogloss:1.00657
[155]	train-mlogloss:1.00344	validation-mlogloss:1.00530
[156]	train-mlogloss:1.00191	validation-mlogloss:1.00379
[157]	train-mlogloss:1.00059	validation-mlogloss:1.00247
[158]	train-mlogloss:0.99915	validation-mlogloss:1.00103
[159]	train-mlogloss:0.99774	validation-mlogloss:0.99972
[160]	train-mlogloss:0.99631	validation-mlogloss:0.99826
[161]	train-mlogloss:0.99508	validation-mlogloss:0.99706
[162]	train-mlogloss:0.99365	validation-mlogloss:0.99571
[163]	train-mlogloss:0.99222	validation-mlogloss:0.99430
[164]	train-mlogloss:0.99076	validation-mlogloss:0.99296
[165]	train-mlogloss:0.98940	validation-mlogloss:0.99152
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.01 [%]
Global accuracy score (test) = 69.39 [%]
Global F1 score (train) = 68.37 [%]
Global F1 score (test) = 69.27 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.63      0.40      0.49       400
MODERATE-INTENSITY       0.53      0.81      0.64       400
         SEDENTARY       0.85      0.86      0.86       400
VIGOROUS-INTENSITY       0.87      0.71      0.78       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.72      0.69      0.69      1545


Accuracy capturado en la ejecución 16: 69.39 [%]
F1-score capturado en la ejecución 16: 69.27 [%]

=== EJECUCIÓN 17 ===

--- TRAIN (ejecución 17) ---

--- TEST (ejecución 17) ---
2025-11-07 10:41:00.366050: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:00.377113: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508460.390047 2402987 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508460.394242 2402987 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508460.404330 2402987 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508460.404349 2402987 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508460.404351 2402987 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508460.404352 2402987 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:00.407533: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38185	validation-mlogloss:1.38190
[1]	train-mlogloss:1.37741	validation-mlogloss:1.37755
[2]	train-mlogloss:1.37294	validation-mlogloss:1.37299
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[9]	train-mlogloss:1.34379	validation-mlogloss:1.34436
[10]	train-mlogloss:1.33986	validation-mlogloss:1.34031
[11]	train-mlogloss:1.33582	validation-mlogloss:1.33633
[12]	train-mlogloss:1.33199	validation-mlogloss:1.33240
[13]	train-mlogloss:1.32815	validation-mlogloss:1.32870
[14]	train-mlogloss:1.32430	validation-mlogloss:1.32506
[15]	train-mlogloss:1.32042	validation-mlogloss:1.32131
[16]	train-mlogloss:1.31662	validation-mlogloss:1.31751
[17]	train-mlogloss:1.31294	validation-mlogloss:1.31397
[18]	train-mlogloss:1.30913	validation-mlogloss:1.31012
[19]	train-mlogloss:1.30538	validation-mlogloss:1.30650
[20]	train-mlogloss:1.30166	validation-mlogloss:1.30289
[21]	train-mlogloss:1.29809	validation-mlogloss:1.29920
[22]	train-mlogloss:1.29451	validation-mlogloss:1.29562
[23]	train-mlogloss:1.29090	validation-mlogloss:1.29204
[24]	train-mlogloss:1.28754	validation-mlogloss:1.28878
[25]	train-mlogloss:1.28405	validation-mlogloss:1.28517
[26]	train-mlogloss:1.28060	validation-mlogloss:1.28162
[27]	train-mlogloss:1.27716	validation-mlogloss:1.27822
[28]	train-mlogloss:1.27374	validation-mlogloss:1.27487
[29]	train-mlogloss:1.27035	validation-mlogloss:1.27139
[30]	train-mlogloss:1.26710	validation-mlogloss:1.26826
[31]	train-mlogloss:1.26382	validation-mlogloss:1.26517
[32]	train-mlogloss:1.26052	validation-mlogloss:1.26191
[33]	train-mlogloss:1.25725	validation-mlogloss:1.25868
[34]	train-mlogloss:1.25409	validation-mlogloss:1.25554
[35]	train-mlogloss:1.25106	validation-mlogloss:1.25241
[36]	train-mlogloss:1.24799	validation-mlogloss:1.24942
[37]	train-mlogloss:1.24478	validation-mlogloss:1.24628
[38]	train-mlogloss:1.24139	validation-mlogloss:1.24301
[39]	train-mlogloss:1.23835	validation-mlogloss:1.24003
[40]	train-mlogloss:1.23528	validation-mlogloss:1.23709
[41]	train-mlogloss:1.23224	validation-mlogloss:1.23416
[42]	train-mlogloss:1.22935	validation-mlogloss:1.23132
[43]	train-mlogloss:1.22658	validation-mlogloss:1.22850
[44]	train-mlogloss:1.22363	validation-mlogloss:1.22556
[45]	train-mlogloss:1.22083	validation-mlogloss:1.22279
[46]	train-mlogloss:1.21793	validation-mlogloss:1.21994
[47]	train-mlogloss:1.21509	validation-mlogloss:1.21711
[48]	train-mlogloss:1.21236	validation-mlogloss:1.21438
[49]	train-mlogloss:1.20954	validation-mlogloss:1.21178
[50]	train-mlogloss:1.20672	validation-mlogloss:1.20888
[51]	train-mlogloss:1.20397	validation-mlogloss:1.20617
[52]	train-mlogloss:1.20119	validation-mlogloss:1.20327
[53]	train-mlogloss:1.19833	validation-mlogloss:1.20050
[54]	train-mlogloss:1.19563	validation-mlogloss:1.19771
[55]	train-mlogloss:1.19298	validation-mlogloss:1.19509
[56]	train-mlogloss:1.19034	validation-mlogloss:1.19248
[57]	train-mlogloss:1.18776	validation-mlogloss:1.18997
[58]	train-mlogloss:1.18517	validation-mlogloss:1.18740
[59]	train-mlogloss:1.18255	validation-mlogloss:1.18479
[60]	train-mlogloss:1.18000	validation-mlogloss:1.18219
[61]	train-mlogloss:1.17735	validation-mlogloss:1.17956
[62]	train-mlogloss:1.17488	validation-mlogloss:1.17706
[63]	train-mlogloss:1.17237	validation-mlogloss:1.17441
[64]	train-mlogloss:1.16984	validation-mlogloss:1.17187
[65]	train-mlogloss:1.16711	validation-mlogloss:1.16915
[66]	train-mlogloss:1.16437	validation-mlogloss:1.16650
[67]	train-mlogloss:1.16204	validation-mlogloss:1.16408
[68]	train-mlogloss:1.15961	validation-mlogloss:1.16161
[69]	train-mlogloss:1.15732	validation-mlogloss:1.15927
[70]	train-mlogloss:1.15502	validation-mlogloss:1.15698
[71]	train-mlogloss:1.15262	validation-mlogloss:1.15456
[72]	train-mlogloss:1.15008	validation-mlogloss:1.15214
[73]	train-mlogloss:1.14773	validation-mlogloss:1.14983
[74]	train-mlogloss:1.14549	validation-mlogloss:1.14746
[75]	train-mlogloss:1.14322	validation-mlogloss:1.14517
[76]	train-mlogloss:1.14093	validation-mlogloss:1.14291
[77]	train-mlogloss:1.13868	validation-mlogloss:1.14061
[78]	train-mlogloss:1.13642	validation-mlogloss:1.13825
[79]	train-mlogloss:1.13426	validation-mlogloss:1.13608
[80]	train-mlogloss:1.13205	validation-mlogloss:1.13386
[81]	train-mlogloss:1.12998	validation-mlogloss:1.13172
[82]	train-mlogloss:1.12768	validation-mlogloss:1.12955
[83]	train-mlogloss:1.12549	validation-mlogloss:1.12738
[84]	train-mlogloss:1.12343	validation-mlogloss:1.12523
[85]	train-mlogloss:1.12131	validation-mlogloss:1.12320
[86]	train-mlogloss:1.11922	validation-mlogloss:1.12113
[87]	train-mlogloss:1.11717	validation-mlogloss:1.11913
[88]	train-mlogloss:1.11485	validation-mlogloss:1.11689
[89]	train-mlogloss:1.11276	validation-mlogloss:1.11485
[90]	train-mlogloss:1.11084	validation-mlogloss:1.11297
[91]	train-mlogloss:1.10857	validation-mlogloss:1.11071
[92]	train-mlogloss:1.10656	validation-mlogloss:1.10865
[93]	train-mlogloss:1.10455	validation-mlogloss:1.10653
[94]	train-mlogloss:1.10253	validation-mlogloss:1.10459
[95]	train-mlogloss:1.10036	validation-mlogloss:1.10252
[96]	train-mlogloss:1.09838	validation-mlogloss:1.10037
[97]	train-mlogloss:1.09621	validation-mlogloss:1.09820
[98]	train-mlogloss:1.09433	validation-mlogloss:1.09640
[99]	train-mlogloss:1.09224	validation-mlogloss:1.09436
[100]	train-mlogloss:1.09030	validation-mlogloss:1.09245
[101]	train-mlogloss:1.08844	validation-mlogloss:1.09065
[102]	train-mlogloss:1.08649	validation-mlogloss:1.08874
[103]	train-mlogloss:1.08462	validation-mlogloss:1.08683
[104]	train-mlogloss:1.08256	validation-mlogloss:1.08475
[105]	train-mlogloss:1.08066	validation-mlogloss:1.08278
[106]	train-mlogloss:1.07853	validation-mlogloss:1.08060
[107]	train-mlogloss:1.07669	validation-mlogloss:1.07862
[108]	train-mlogloss:1.07492	validation-mlogloss:1.07677
[109]	train-mlogloss:1.07300	validation-mlogloss:1.07492
[110]	train-mlogloss:1.07116	validation-mlogloss:1.07296
[111]	train-mlogloss:1.06928	validation-mlogloss:1.07126
[112]	train-mlogloss:1.06755	validation-mlogloss:1.06952
[113]	train-mlogloss:1.06559	validation-mlogloss:1.06757
[114]	train-mlogloss:1.06371	validation-mlogloss:1.06583
[115]	train-mlogloss:1.06201	validation-mlogloss:1.06413
[116]	train-mlogloss:1.06034	validation-mlogloss:1.06242
[117]	train-mlogloss:1.05843	validation-mlogloss:1.06052
[118]	train-mlogloss:1.05669	validation-mlogloss:1.05886
[119]	train-mlogloss:1.05479	validation-mlogloss:1.05701
[120]	train-mlogloss:1.05300	validation-mlogloss:1.05528
[121]	train-mlogloss:1.05115	validation-mlogloss:1.05348
[122]	train-mlogloss:1.04931	validation-mlogloss:1.05172
[123]	train-mlogloss:1.04766	validation-mlogloss:1.05004
[124]	train-mlogloss:1.04608	validation-mlogloss:1.04854
[125]	train-mlogloss:1.04453	validation-mlogloss:1.04695
[126]	train-mlogloss:1.04275	validation-mlogloss:1.04526
[127]	train-mlogloss:1.04108	validation-mlogloss:1.04371
[128]	train-mlogloss:1.03935	validation-mlogloss:1.04201
[129]	train-mlogloss:1.03758	validation-mlogloss:1.04018
[130]	train-mlogloss:1.03578	validation-mlogloss:1.03840
[131]	train-mlogloss:1.03411	validation-mlogloss:1.03684
[132]	train-mlogloss:1.03271	validation-mlogloss:1.03545
[133]	train-mlogloss:1.03118	validation-mlogloss:1.03398
[134]	train-mlogloss:1.02950	validation-mlogloss:1.03230
[135]	train-mlogloss:1.02776	validation-mlogloss:1.03053
[136]	train-mlogloss:1.02622	validation-mlogloss:1.02902
[137]	train-mlogloss:1.02458	validation-mlogloss:1.02740
[138]	train-mlogloss:1.02292	validation-mlogloss:1.02570
[139]	train-mlogloss:1.02145	validation-mlogloss:1.02412
[140]	train-mlogloss:1.02005	validation-mlogloss:1.02273
[141]	train-mlogloss:1.01847	validation-mlogloss:1.02121
[142]	train-mlogloss:1.01709	validation-mlogloss:1.01991
[143]	train-mlogloss:1.01550	validation-mlogloss:1.01826
[144]	train-mlogloss:1.01386	validation-mlogloss:1.01657
[145]	train-mlogloss:1.01253	validation-mlogloss:1.01514
[146]	train-mlogloss:1.01124	validation-mlogloss:1.01387
[147]	train-mlogloss:1.00961	validation-mlogloss:1.01220
[148]	train-mlogloss:1.00807	validation-mlogloss:1.01064
[149]	train-mlogloss:1.00672	validation-mlogloss:1.00927
[150]	train-mlogloss:1.00533	validation-mlogloss:1.00780
[151]	train-mlogloss:1.00384	validation-mlogloss:1.00627
[152]	train-mlogloss:1.00254	validation-mlogloss:1.00494
[153]	train-mlogloss:1.00105	validation-mlogloss:1.00348
[154]	train-mlogloss:0.99964	validation-mlogloss:1.00210
[155]	train-mlogloss:0.99822	validation-mlogloss:1.00076
[156]	train-mlogloss:0.99694	validation-mlogloss:0.99947
[157]	train-mlogloss:0.99560	validation-mlogloss:0.99818
[158]	train-mlogloss:0.99440	validation-mlogloss:0.99691
[159]	train-mlogloss:0.99311	validation-mlogloss:0.99566
[160]	train-mlogloss:0.99187	validation-mlogloss:0.99434
[161]	train-mlogloss:0.99066	validation-mlogloss:0.99316
[162]	train-mlogloss:0.98942	validation-mlogloss:0.99190
[163]	train-mlogloss:0.98800	validation-mlogloss:0.99043
[164]	train-mlogloss:0.98665	validation-mlogloss:0.98908
[165]	train-mlogloss:0.98541	validation-mlogloss:0.98778
[166]	train-mlogloss:0.98423	validation-mlogloss:0.98655
[167]	train-mlogloss:0.98307	validation-mlogloss:0.98543
[168]	train-mlogloss:0.98192	validation-mlogloss:0.98431
[169]	train-mlogloss:0.98071	validation-mlogloss:0.98307
[170]	train-mlogloss:0.97945	validation-mlogloss:0.98179
[171]	train-mlogloss:0.97807	validation-mlogloss:0.98044
[172]	train-mlogloss:0.97671	validation-mlogloss:0.97908
[173]	train-mlogloss:0.97535	validation-mlogloss:0.97765
[174]	train-mlogloss:0.97403	validation-mlogloss:0.97627
[175]	train-mlogloss:0.97273	validation-mlogloss:0.97497
[176]	train-mlogloss:0.97146	validation-mlogloss:0.97364
[177]	train-mlogloss:0.97029	validation-mlogloss:0.97245
[178]	train-mlogloss:0.96925	validation-mlogloss:0.97143
[179]	train-mlogloss:0.96803	validation-mlogloss:0.97017
[180]	train-mlogloss:0.96692	validation-mlogloss:0.96915
[181]	train-mlogloss:0.96577	validation-mlogloss:0.96797
[182]	train-mlogloss:0.96448	validation-mlogloss:0.96661
[183]	train-mlogloss:0.96322	validation-mlogloss:0.96539
[184]	train-mlogloss:0.96199	validation-mlogloss:0.96414
[185]	train-mlogloss:0.96077	validation-mlogloss:0.96291
[186]	train-mlogloss:0.95960	validation-mlogloss:0.96170
[187]	train-mlogloss:0.95852	validation-mlogloss:0.96057
[188]	train-mlogloss:0.95742	validation-mlogloss:0.95933
[189]	train-mlogloss:0.95617	validation-mlogloss:0.95804
[190]	train-mlogloss:0.95515	validation-mlogloss:0.95702
[191]	train-mlogloss:0.95403	validation-mlogloss:0.95597
[192]	train-mlogloss:0.95300	validation-mlogloss:0.95495
[193]	train-mlogloss:0.95196	validation-mlogloss:0.95383
[194]	train-mlogloss:0.95078	validation-mlogloss:0.95260
[195]	train-mlogloss:0.94969	validation-mlogloss:0.95148
[196]	train-mlogloss:0.94854	validation-mlogloss:0.95031
[197]	train-mlogloss:0.94741	validation-mlogloss:0.94918
[198]	train-mlogloss:0.94640	validation-mlogloss:0.94814
[199]	train-mlogloss:0.94524	validation-mlogloss:0.94700
[200]	train-mlogloss:0.94424	validation-mlogloss:0.94595
[201]	train-mlogloss:0.94327	validation-mlogloss:0.94500
[202]	train-mlogloss:0.94213	validation-mlogloss:0.94384
[203]	train-mlogloss:0.94107	validation-mlogloss:0.94278
[204]	train-mlogloss:0.93996	validation-mlogloss:0.94167
[205]	train-mlogloss:0.93888	validation-mlogloss:0.94058
[206]	train-mlogloss:0.93794	validation-mlogloss:0.93970
[207]	train-mlogloss:0.93705	validation-mlogloss:0.93886
[208]	train-mlogloss:0.93597	validation-mlogloss:0.93774
[209]	train-mlogloss:0.93487	validation-mlogloss:0.93660
[210]	train-mlogloss:0.93385	validation-mlogloss:0.93552
[211]	train-mlogloss:0.93270	validation-mlogloss:0.93434
[212]	train-mlogloss:0.93176	validation-mlogloss:0.93347
[213]	train-mlogloss:0.93070	validation-mlogloss:0.93235
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[215]	train-mlogloss:0.92866	validation-mlogloss:0.93025
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[385]	train-mlogloss:0.81400	validation-mlogloss:0.81701
[386]	train-mlogloss:0.81355	validation-mlogloss:0.81659
[387]	train-mlogloss:0.81312	validation-mlogloss:0.81627
[388]	train-mlogloss:0.81265	validation-mlogloss:0.81584
[389]	train-mlogloss:0.81225	validation-mlogloss:0.81548
[390]	train-mlogloss:0.81184	validation-mlogloss:0.81504
[391]	train-mlogloss:0.81143	validation-mlogloss:0.81466
[392]	train-mlogloss:0.81101	validation-mlogloss:0.81426
[393]	train-mlogloss:0.81061	validation-mlogloss:0.81395
[394]	train-mlogloss:0.81017	validation-mlogloss:0.81355
[395]	train-mlogloss:0.80980	validation-mlogloss:0.81326
[396]	train-mlogloss:0.80940	validation-mlogloss:0.81288
[397]	train-mlogloss:0.80902	validation-mlogloss:0.81248
[398]	train-mlogloss:0.80862	validation-mlogloss:0.81212
[399]	train-mlogloss:0.80823	validation-mlogloss:0.81170
[400]	train-mlogloss:0.80786	validation-mlogloss:0.81140
[401]	train-mlogloss:0.80741	validation-mlogloss:0.81097
[402]	train-mlogloss:0.80703	validation-mlogloss:0.81061
[403]	train-mlogloss:0.80668	validation-mlogloss:0.81027
[404]	train-mlogloss:0.80631	validation-mlogloss:0.80994
[405]	train-mlogloss:0.80590	validation-mlogloss:0.80955
[406]	train-mlogloss:0.80548	validation-mlogloss:0.80915
[407]	train-mlogloss:0.80512	validation-mlogloss:0.80878
[408]	train-mlogloss:0.80478	validation-mlogloss:0.80842
[409]	train-mlogloss:0.80432	validation-mlogloss:0.80792
[410]	train-mlogloss:0.80395	validation-mlogloss:0.80755
[411]	train-mlogloss:0.80348	validation-mlogloss:0.80718
[412]	train-mlogloss:0.80313	validation-mlogloss:0.80680
[413]	train-mlogloss:0.80272	validation-mlogloss:0.80643
[414]	train-mlogloss:0.80230	validation-mlogloss:0.80607
[415]	train-mlogloss:0.80188	validation-mlogloss:0.80573
[416]	train-mlogloss:0.80147	validation-mlogloss:0.80539
[417]	train-mlogloss:0.80119	validation-mlogloss:0.80511
[418]	train-mlogloss:0.80082	validation-mlogloss:0.80474
[419]	train-mlogloss:0.80047	validation-mlogloss:0.80441
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.67 [%]
Global accuracy score (test) = 68.87 [%]
Global F1 score (train) = 68.1 [%]
Global F1 score (test) = 68.84 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.41      0.49       400
MODERATE-INTENSITY       0.53      0.80      0.64       400
         SEDENTARY       0.83      0.84      0.83       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.71      0.69      0.68      1545


Accuracy capturado en la ejecución 17: 68.87 [%]
F1-score capturado en la ejecución 17: 68.84 [%]

=== EJECUCIÓN 18 ===

--- TRAIN (ejecución 18) ---

--- TEST (ejecución 18) ---
2025-11-07 10:41:12.130515: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:12.141708: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508472.154695 2403242 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508472.158752 2403242 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508472.168546 2403242 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508472.168565 2403242 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508472.168568 2403242 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508472.168569 2403242 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:12.171543: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
[0]	train-mlogloss:1.38180	validation-mlogloss:1.38189
[1]	train-mlogloss:1.37742	validation-mlogloss:1.37739
[2]	train-mlogloss:1.37316	validation-mlogloss:1.37343
[3]	train-mlogloss:1.36883	validation-mlogloss:1.36932
[4]	train-mlogloss:1.36432	validation-mlogloss:1.36508
[5]	train-mlogloss:1.36007	validation-mlogloss:1.36083
[6]	train-mlogloss:1.35584	validation-mlogloss:1.35676
[7]	train-mlogloss:1.35157	validation-mlogloss:1.35268
[8]	train-mlogloss:1.34743	validation-mlogloss:1.34862
[9]	train-mlogloss:1.34350	validation-mlogloss:1.34492
[10]	train-mlogloss:1.33904	validation-mlogloss:1.34060
[11]	train-mlogloss:1.33499	validation-mlogloss:1.33644
[12]	train-mlogloss:1.33110	validation-mlogloss:1.33280
[13]	train-mlogloss:1.32724	validation-mlogloss:1.32891
[14]	train-mlogloss:1.32331	validation-mlogloss:1.32494
[15]	train-mlogloss:1.31957	validation-mlogloss:1.32140
[16]	train-mlogloss:1.31574	validation-mlogloss:1.31755
[17]	train-mlogloss:1.31191	validation-mlogloss:1.31366
[18]	train-mlogloss:1.30829	validation-mlogloss:1.31026
[19]	train-mlogloss:1.30457	validation-mlogloss:1.30662
[20]	train-mlogloss:1.30087	validation-mlogloss:1.30295
[21]	train-mlogloss:1.29738	validation-mlogloss:1.29950
[22]	train-mlogloss:1.29384	validation-mlogloss:1.29615
[23]	train-mlogloss:1.29028	validation-mlogloss:1.29263
[24]	train-mlogloss:1.28665	validation-mlogloss:1.28896
[25]	train-mlogloss:1.28324	validation-mlogloss:1.28540
[26]	train-mlogloss:1.27987	validation-mlogloss:1.28224
[27]	train-mlogloss:1.27639	validation-mlogloss:1.27892
[28]	train-mlogloss:1.27307	validation-mlogloss:1.27549
[29]	train-mlogloss:1.26969	validation-mlogloss:1.27214
[30]	train-mlogloss:1.26620	validation-mlogloss:1.26889
[31]	train-mlogloss:1.26290	validation-mlogloss:1.26558
[32]	train-mlogloss:1.25966	validation-mlogloss:1.26236
[33]	train-mlogloss:1.25635	validation-mlogloss:1.25886
[34]	train-mlogloss:1.25317	validation-mlogloss:1.25565
[35]	train-mlogloss:1.25010	validation-mlogloss:1.25268
[36]	train-mlogloss:1.24695	validation-mlogloss:1.24945
[37]	train-mlogloss:1.24385	validation-mlogloss:1.24649
[38]	train-mlogloss:1.24074	validation-mlogloss:1.24351
[39]	train-mlogloss:1.23767	validation-mlogloss:1.24038
[40]	train-mlogloss:1.23454	validation-mlogloss:1.23718
[41]	train-mlogloss:1.23149	validation-mlogloss:1.23431
[42]	train-mlogloss:1.22849	validation-mlogloss:1.23131
[43]	train-mlogloss:1.22549	validation-mlogloss:1.22847
[44]	train-mlogloss:1.22247	validation-mlogloss:1.22540
[45]	train-mlogloss:1.21946	validation-mlogloss:1.22234
[46]	train-mlogloss:1.21654	validation-mlogloss:1.21960
[47]	train-mlogloss:1.21375	validation-mlogloss:1.21673
[48]	train-mlogloss:1.21087	validation-mlogloss:1.21391
[49]	train-mlogloss:1.20799	validation-mlogloss:1.21099
[50]	train-mlogloss:1.20515	validation-mlogloss:1.20817
[51]	train-mlogloss:1.20236	validation-mlogloss:1.20529
[52]	train-mlogloss:1.19957	validation-mlogloss:1.20247
[53]	train-mlogloss:1.19682	validation-mlogloss:1.19979
[54]	train-mlogloss:1.19405	validation-mlogloss:1.19710
[55]	train-mlogloss:1.19138	validation-mlogloss:1.19445
[56]	train-mlogloss:1.18875	validation-mlogloss:1.19199
[57]	train-mlogloss:1.18607	validation-mlogloss:1.18932
[58]	train-mlogloss:1.18342	validation-mlogloss:1.18668
[59]	train-mlogloss:1.18078	validation-mlogloss:1.18409
[60]	train-mlogloss:1.17821	validation-mlogloss:1.18173
[61]	train-mlogloss:1.17565	validation-mlogloss:1.17919
[62]	train-mlogloss:1.17309	validation-mlogloss:1.17667
[63]	train-mlogloss:1.17025	validation-mlogloss:1.17388
[64]	train-mlogloss:1.16771	validation-mlogloss:1.17126
[65]	train-mlogloss:1.16523	validation-mlogloss:1.16881
[66]	train-mlogloss:1.16278	validation-mlogloss:1.16627
[67]	train-mlogloss:1.16019	validation-mlogloss:1.16374
[68]	train-mlogloss:1.15774	validation-mlogloss:1.16133
[69]	train-mlogloss:1.15532	validation-mlogloss:1.15882
[70]	train-mlogloss:1.15288	validation-mlogloss:1.15641
[71]	train-mlogloss:1.15054	validation-mlogloss:1.15409
[72]	train-mlogloss:1.14824	validation-mlogloss:1.15182
[73]	train-mlogloss:1.14594	validation-mlogloss:1.14941
[74]	train-mlogloss:1.14355	validation-mlogloss:1.14698
[75]	train-mlogloss:1.14125	validation-mlogloss:1.14463
[76]	train-mlogloss:1.13897	validation-mlogloss:1.14243
[77]	train-mlogloss:1.13680	validation-mlogloss:1.14032
[78]	train-mlogloss:1.13456	validation-mlogloss:1.13813
[79]	train-mlogloss:1.13233	validation-mlogloss:1.13591
[80]	train-mlogloss:1.12989	validation-mlogloss:1.13359
[81]	train-mlogloss:1.12774	validation-mlogloss:1.13143
[82]	train-mlogloss:1.12556	validation-mlogloss:1.12918
[83]	train-mlogloss:1.12343	validation-mlogloss:1.12698
[84]	train-mlogloss:1.12128	validation-mlogloss:1.12472
[85]	train-mlogloss:1.11918	validation-mlogloss:1.12255
[86]	train-mlogloss:1.11721	validation-mlogloss:1.12069
[87]	train-mlogloss:1.11513	validation-mlogloss:1.11851
[88]	train-mlogloss:1.11299	validation-mlogloss:1.11636
[89]	train-mlogloss:1.11088	validation-mlogloss:1.11430
[90]	train-mlogloss:1.10884	validation-mlogloss:1.11229
[91]	train-mlogloss:1.10657	validation-mlogloss:1.11013
[92]	train-mlogloss:1.10449	validation-mlogloss:1.10802
[93]	train-mlogloss:1.10260	validation-mlogloss:1.10616
[94]	train-mlogloss:1.10045	validation-mlogloss:1.10421
[95]	train-mlogloss:1.09829	validation-mlogloss:1.10217
[96]	train-mlogloss:1.09635	validation-mlogloss:1.10023
[97]	train-mlogloss:1.09428	validation-mlogloss:1.09818
[98]	train-mlogloss:1.09240	validation-mlogloss:1.09631
[99]	train-mlogloss:1.09029	validation-mlogloss:1.09434
[100]	train-mlogloss:1.08844	validation-mlogloss:1.09248
[101]	train-mlogloss:1.08630	validation-mlogloss:1.09047
[102]	train-mlogloss:1.08444	validation-mlogloss:1.08870
[103]	train-mlogloss:1.08253	validation-mlogloss:1.08672
[104]	train-mlogloss:1.08046	validation-mlogloss:1.08482
[105]	train-mlogloss:1.07868	validation-mlogloss:1.08314
[106]	train-mlogloss:1.07685	validation-mlogloss:1.08146
[107]	train-mlogloss:1.07486	validation-mlogloss:1.07959
[108]	train-mlogloss:1.07302	validation-mlogloss:1.07755
[109]	train-mlogloss:1.07098	validation-mlogloss:1.07548
[110]	train-mlogloss:1.06918	validation-mlogloss:1.07357
[111]	train-mlogloss:1.06722	validation-mlogloss:1.07164
[112]	train-mlogloss:1.06534	validation-mlogloss:1.06976
[113]	train-mlogloss:1.06341	validation-mlogloss:1.06799
[114]	train-mlogloss:1.06153	validation-mlogloss:1.06623
[115]	train-mlogloss:1.05961	validation-mlogloss:1.06432
[116]	train-mlogloss:1.05777	validation-mlogloss:1.06258
[117]	train-mlogloss:1.05591	validation-mlogloss:1.06091
[118]	train-mlogloss:1.05432	validation-mlogloss:1.05928
[119]	train-mlogloss:1.05257	validation-mlogloss:1.05766
[120]	train-mlogloss:1.05078	validation-mlogloss:1.05601
[121]	train-mlogloss:1.04921	validation-mlogloss:1.05440
[122]	train-mlogloss:1.04762	validation-mlogloss:1.05277
[123]	train-mlogloss:1.04576	validation-mlogloss:1.05098
[124]	train-mlogloss:1.04397	validation-mlogloss:1.04924
[125]	train-mlogloss:1.04234	validation-mlogloss:1.04755
[126]	train-mlogloss:1.04075	validation-mlogloss:1.04587
[127]	train-mlogloss:1.03913	validation-mlogloss:1.04423
[128]	train-mlogloss:1.03756	validation-mlogloss:1.04262
[129]	train-mlogloss:1.03580	validation-mlogloss:1.04091
[130]	train-mlogloss:1.03409	validation-mlogloss:1.03924
[131]	train-mlogloss:1.03235	validation-mlogloss:1.03751
[132]	train-mlogloss:1.03063	validation-mlogloss:1.03580
[133]	train-mlogloss:1.02915	validation-mlogloss:1.03432
[134]	train-mlogloss:1.02769	validation-mlogloss:1.03277
[135]	train-mlogloss:1.02624	validation-mlogloss:1.03141
[136]	train-mlogloss:1.02477	validation-mlogloss:1.02991
[137]	train-mlogloss:1.02315	validation-mlogloss:1.02838
[138]	train-mlogloss:1.02148	validation-mlogloss:1.02678
[139]	train-mlogloss:1.01991	validation-mlogloss:1.02528
[140]	train-mlogloss:1.01835	validation-mlogloss:1.02375
[141]	train-mlogloss:1.01689	validation-mlogloss:1.02220
[142]	train-mlogloss:1.01547	validation-mlogloss:1.02072
[143]	train-mlogloss:1.01406	validation-mlogloss:1.01932
[144]	train-mlogloss:1.01265	validation-mlogloss:1.01792
[145]	train-mlogloss:1.01126	validation-mlogloss:1.01657
[146]	train-mlogloss:1.00973	validation-mlogloss:1.01507
[147]	train-mlogloss:1.00847	validation-mlogloss:1.01373
[148]	train-mlogloss:1.00696	validation-mlogloss:1.01227
[149]	train-mlogloss:1.00550	validation-mlogloss:1.01088
[150]	train-mlogloss:1.00416	validation-mlogloss:1.00955
[151]	train-mlogloss:1.00285	validation-mlogloss:1.00809
[152]	train-mlogloss:1.00151	validation-mlogloss:1.00676
[153]	train-mlogloss:1.00001	validation-mlogloss:1.00536
[154]	train-mlogloss:0.99856	validation-mlogloss:1.00392
[155]	train-mlogloss:0.99708	validation-mlogloss:1.00251
[156]	train-mlogloss:0.99574	validation-mlogloss:1.00106
[157]	train-mlogloss:0.99426	validation-mlogloss:0.99947
[158]	train-mlogloss:0.99296	validation-mlogloss:0.99825
[159]	train-mlogloss:0.99152	validation-mlogloss:0.99671
[160]	train-mlogloss:0.99026	validation-mlogloss:0.99547
[161]	train-mlogloss:0.98883	validation-mlogloss:0.99407
[162]	train-mlogloss:0.98744	validation-mlogloss:0.99269
[163]	train-mlogloss:0.98619	validation-mlogloss:0.99139
[164]	train-mlogloss:0.98480	validation-mlogloss:0.99001
[165]	train-mlogloss:0.98343	validation-mlogloss:0.98865
[166]	train-mlogloss:0.98226	validation-mlogloss:0.98751
[167]	train-mlogloss:0.98083	validation-mlogloss:0.98614
[168]	train-mlogloss:0.97941	validation-mlogloss:0.98465
[169]	train-mlogloss:0.97802	validation-mlogloss:0.98323
[170]	train-mlogloss:0.97675	validation-mlogloss:0.98204
[171]	train-mlogloss:0.97538	validation-mlogloss:0.98063
[172]	train-mlogloss:0.97421	validation-mlogloss:0.97935
[173]	train-mlogloss:0.97286	validation-mlogloss:0.97799
[174]	train-mlogloss:0.97152	validation-mlogloss:0.97657
[175]	train-mlogloss:0.97045	validation-mlogloss:0.97550
[176]	train-mlogloss:0.96923	validation-mlogloss:0.97437
[177]	train-mlogloss:0.96805	validation-mlogloss:0.97320
[178]	train-mlogloss:0.96674	validation-mlogloss:0.97187
[179]	train-mlogloss:0.96545	validation-mlogloss:0.97059
[180]	train-mlogloss:0.96417	validation-mlogloss:0.96922
[181]	train-mlogloss:0.96311	validation-mlogloss:0.96809
[182]	train-mlogloss:0.96181	validation-mlogloss:0.96687
[183]	train-mlogloss:0.96060	validation-mlogloss:0.96564
[184]	train-mlogloss:0.95940	validation-mlogloss:0.96446
[185]	train-mlogloss:0.95821	validation-mlogloss:0.96331
[186]	train-mlogloss:0.95715	validation-mlogloss:0.96219
[187]	train-mlogloss:0.95600	validation-mlogloss:0.96106
[188]	train-mlogloss:0.95480	validation-mlogloss:0.95979
[189]	train-mlogloss:0.95355	validation-mlogloss:0.95850
[190]	train-mlogloss:0.95237	validation-mlogloss:0.95736
[191]	train-mlogloss:0.95131	validation-mlogloss:0.95635
[192]	train-mlogloss:0.95016	validation-mlogloss:0.95517
[193]	train-mlogloss:0.94900	validation-mlogloss:0.95395
[194]	train-mlogloss:0.94803	validation-mlogloss:0.95296
[195]	train-mlogloss:0.94693	validation-mlogloss:0.95189
[196]	train-mlogloss:0.94580	validation-mlogloss:0.95074
[197]	train-mlogloss:0.94482	validation-mlogloss:0.94968
[198]	train-mlogloss:0.94369	validation-mlogloss:0.94853
[199]	train-mlogloss:0.94275	validation-mlogloss:0.94755
[200]	train-mlogloss:0.94163	validation-mlogloss:0.94634
[201]	train-mlogloss:0.94067	validation-mlogloss:0.94544
[202]	train-mlogloss:0.93956	validation-mlogloss:0.94429
[203]	train-mlogloss:0.93849	validation-mlogloss:0.94317
[204]	train-mlogloss:0.93734	validation-mlogloss:0.94200
[205]	train-mlogloss:0.93626	validation-mlogloss:0.94087
[206]	train-mlogloss:0.93527	validation-mlogloss:0.93995
[207]	train-mlogloss:0.93436	validation-mlogloss:0.93910
[208]	train-mlogloss:0.93337	validation-mlogloss:0.93817
[209]	train-mlogloss:0.93228	validation-mlogloss:0.93700
[210]	train-mlogloss:0.93116	validation-mlogloss:0.93586
[211]	train-mlogloss:0.93014	validation-mlogloss:0.93482
[212]	train-mlogloss:0.92906	validation-mlogloss:0.93369
[213]	train-mlogloss:0.92799	validation-mlogloss:0.93261
[214]	train-mlogloss:0.92699	validation-mlogloss:0.93155
[215]	train-mlogloss:0.92594	validation-mlogloss:0.93039
[216]	train-mlogloss:0.92491	validation-mlogloss:0.92928
[217]	train-mlogloss:0.92392	validation-mlogloss:0.92829
[218]	train-mlogloss:0.92304	validation-mlogloss:0.92744
[219]	train-mlogloss:0.92206	validation-mlogloss:0.92643
[220]	train-mlogloss:0.92115	validation-mlogloss:0.92554
[221]	train-mlogloss:0.92017	validation-mlogloss:0.92455
[222]	train-mlogloss:0.91920	validation-mlogloss:0.92349
[223]	train-mlogloss:0.91815	validation-mlogloss:0.92242
[224]	train-mlogloss:0.91727	validation-mlogloss:0.92156
[225]	train-mlogloss:0.91630	validation-mlogloss:0.92057
[226]	train-mlogloss:0.91536	validation-mlogloss:0.91956
[227]	train-mlogloss:0.91449	validation-mlogloss:0.91874
[228]	train-mlogloss:0.91370	validation-mlogloss:0.91798
[229]	train-mlogloss:0.91276	validation-mlogloss:0.91700
[230]	train-mlogloss:0.91191	validation-mlogloss:0.91623
[231]	train-mlogloss:0.91109	validation-mlogloss:0.91537
[232]	train-mlogloss:0.91028	validation-mlogloss:0.91453
[233]	train-mlogloss:0.90938	validation-mlogloss:0.91362
[234]	train-mlogloss:0.90843	validation-mlogloss:0.91267
[235]	train-mlogloss:0.90752	validation-mlogloss:0.91178
[236]	train-mlogloss:0.90655	validation-mlogloss:0.91081
[237]	train-mlogloss:0.90579	validation-mlogloss:0.91006
[238]	train-mlogloss:0.90502	validation-mlogloss:0.90923
[239]	train-mlogloss:0.90417	validation-mlogloss:0.90838
[240]	train-mlogloss:0.90340	validation-mlogloss:0.90758
[241]	train-mlogloss:0.90249	validation-mlogloss:0.90666
[242]	train-mlogloss:0.90152	validation-mlogloss:0.90566
[243]	train-mlogloss:0.90061	validation-mlogloss:0.90472
[244]	train-mlogloss:0.89978	validation-mlogloss:0.90385
[245]	train-mlogloss:0.89898	validation-mlogloss:0.90303
[246]	train-mlogloss:0.89814	validation-mlogloss:0.90208
[247]	train-mlogloss:0.89735	validation-mlogloss:0.90132
[248]	train-mlogloss:0.89649	validation-mlogloss:0.90047
[249]	train-mlogloss:0.89560	validation-mlogloss:0.89966
[250]	train-mlogloss:0.89480	validation-mlogloss:0.89893
[251]	train-mlogloss:0.89391	validation-mlogloss:0.89793
[252]	train-mlogloss:0.89323	validation-mlogloss:0.89731
[253]	train-mlogloss:0.89255	validation-mlogloss:0.89668
[254]	train-mlogloss:0.89180	validation-mlogloss:0.89602
[255]	train-mlogloss:0.89100	validation-mlogloss:0.89520
[256]	train-mlogloss:0.89015	validation-mlogloss:0.89434
[257]	train-mlogloss:0.88933	validation-mlogloss:0.89343
[258]	train-mlogloss:0.88846	validation-mlogloss:0.89256
[259]	train-mlogloss:0.88758	validation-mlogloss:0.89164
[260]	train-mlogloss:0.88691	validation-mlogloss:0.89092
[261]	train-mlogloss:0.88604	validation-mlogloss:0.88999
[262]	train-mlogloss:0.88518	validation-mlogloss:0.88916
[263]	train-mlogloss:0.88447	validation-mlogloss:0.88842
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[270]	train-mlogloss:0.87921	validation-mlogloss:0.88289
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[317]	train-mlogloss:0.84734	validation-mlogloss:0.85098
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[323]	train-mlogloss:0.84375	validation-mlogloss:0.84750
[324]	train-mlogloss:0.84316	validation-mlogloss:0.84689
[325]	train-mlogloss:0.84263	validation-mlogloss:0.84633
[326]	train-mlogloss:0.84208	validation-mlogloss:0.84577
[327]	train-mlogloss:0.84153	validation-mlogloss:0.84523
[328]	train-mlogloss:0.84092	validation-mlogloss:0.84459
[329]	train-mlogloss:0.84031	validation-mlogloss:0.84396
[330]	train-mlogloss:0.83975	validation-mlogloss:0.84335
[331]	train-mlogloss:0.83921	validation-mlogloss:0.84276
[332]	train-mlogloss:0.83869	validation-mlogloss:0.84227
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[342]	train-mlogloss:0.83315	validation-mlogloss:0.83670
[343]	train-mlogloss:0.83266	validation-mlogloss:0.83618
[344]	train-mlogloss:0.83205	validation-mlogloss:0.83553
[345]	train-mlogloss:0.83154	validation-mlogloss:0.83503
[346]	train-mlogloss:0.83099	validation-mlogloss:0.83451
[347]	train-mlogloss:0.83036	validation-mlogloss:0.83388
[348]	train-mlogloss:0.82986	validation-mlogloss:0.83340
[349]	train-mlogloss:0.82937	validation-mlogloss:0.83293
[350]	train-mlogloss:0.82890	validation-mlogloss:0.83249
[351]	train-mlogloss:0.82834	validation-mlogloss:0.83199
[352]	train-mlogloss:0.82782	validation-mlogloss:0.83153
[353]	train-mlogloss:0.82728	validation-mlogloss:0.83101
[354]	train-mlogloss:0.82677	validation-mlogloss:0.83059
[355]	train-mlogloss:0.82630	validation-mlogloss:0.83008
[356]	train-mlogloss:0.82582	validation-mlogloss:0.82958
[357]	train-mlogloss:0.82526	validation-mlogloss:0.82903
[358]	train-mlogloss:0.82475	validation-mlogloss:0.82851
[359]	train-mlogloss:0.82433	validation-mlogloss:0.82815
[360]	train-mlogloss:0.82381	validation-mlogloss:0.82768
[361]	train-mlogloss:0.82330	validation-mlogloss:0.82712
[362]	train-mlogloss:0.82282	validation-mlogloss:0.82666
[363]	train-mlogloss:0.82224	validation-mlogloss:0.82607
[364]	train-mlogloss:0.82170	validation-mlogloss:0.82551
[365]	train-mlogloss:0.82116	validation-mlogloss:0.82496
[366]	train-mlogloss:0.82074	validation-mlogloss:0.82454
[367]	train-mlogloss:0.82024	validation-mlogloss:0.82409
[368]	train-mlogloss:0.81973	validation-mlogloss:0.82357
[369]	train-mlogloss:0.81926	validation-mlogloss:0.82311
[370]	train-mlogloss:0.81887	validation-mlogloss:0.82276
[371]	train-mlogloss:0.81843	validation-mlogloss:0.82231
[372]	train-mlogloss:0.81797	validation-mlogloss:0.82187
[373]	train-mlogloss:0.81749	validation-mlogloss:0.82140
[374]	train-mlogloss:0.81697	validation-mlogloss:0.82081
[375]	train-mlogloss:0.81652	validation-mlogloss:0.82035
[376]	train-mlogloss:0.81607	validation-mlogloss:0.81996
[377]	train-mlogloss:0.81557	validation-mlogloss:0.81948
[378]	train-mlogloss:0.81515	validation-mlogloss:0.81908
[379]	train-mlogloss:0.81468	validation-mlogloss:0.81867
[380]	train-mlogloss:0.81423	validation-mlogloss:0.81822
[381]	train-mlogloss:0.81383	validation-mlogloss:0.81785
[382]	train-mlogloss:0.81342	validation-mlogloss:0.81740
[383]	train-mlogloss:0.81303	validation-mlogloss:0.81702
[384]	train-mlogloss:0.81261	validation-mlogloss:0.81666
[385]	train-mlogloss:0.81221	validation-mlogloss:0.81630
[386]	train-mlogloss:0.81178	validation-mlogloss:0.81587
[387]	train-mlogloss:0.81138	validation-mlogloss:0.81546
[388]	train-mlogloss:0.81096	validation-mlogloss:0.81504
[389]	train-mlogloss:0.81054	validation-mlogloss:0.81457
[390]	train-mlogloss:0.81012	validation-mlogloss:0.81418
[391]	train-mlogloss:0.80965	validation-mlogloss:0.81364
[392]	train-mlogloss:0.80922	validation-mlogloss:0.81321
[393]	train-mlogloss:0.80875	validation-mlogloss:0.81275
[394]	train-mlogloss:0.80836	validation-mlogloss:0.81239
[395]	train-mlogloss:0.80798	validation-mlogloss:0.81201
[396]	train-mlogloss:0.80755	validation-mlogloss:0.81165
[397]	train-mlogloss:0.80711	validation-mlogloss:0.81117
[398]	train-mlogloss:0.80669	validation-mlogloss:0.81073
[399]	train-mlogloss:0.80623	validation-mlogloss:0.81028
[400]	train-mlogloss:0.80582	validation-mlogloss:0.80988
[401]	train-mlogloss:0.80541	validation-mlogloss:0.80953
[402]	train-mlogloss:0.80501	validation-mlogloss:0.80915
[403]	train-mlogloss:0.80455	validation-mlogloss:0.80872
[404]	train-mlogloss:0.80413	validation-mlogloss:0.80830
[405]	train-mlogloss:0.80371	validation-mlogloss:0.80794
[406]	train-mlogloss:0.80327	validation-mlogloss:0.80748
[407]	train-mlogloss:0.80284	validation-mlogloss:0.80706
[408]	train-mlogloss:0.80245	validation-mlogloss:0.80678
[409]	train-mlogloss:0.80200	validation-mlogloss:0.80631
[410]	train-mlogloss:0.80157	validation-mlogloss:0.80587
[411]	train-mlogloss:0.80119	validation-mlogloss:0.80549
[412]	train-mlogloss:0.80081	validation-mlogloss:0.80509
[413]	train-mlogloss:0.80042	validation-mlogloss:0.80470
[414]	train-mlogloss:0.80003	validation-mlogloss:0.80428
[415]	train-mlogloss:0.79966	validation-mlogloss:0.80400
[416]	train-mlogloss:0.79929	validation-mlogloss:0.80360
[417]	train-mlogloss:0.79883	validation-mlogloss:0.80312
[418]	train-mlogloss:0.79844	validation-mlogloss:0.80277
[419]	train-mlogloss:0.79805	validation-mlogloss:0.80234
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 0 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.61 [%]
Global accuracy score (test) = 69.06 [%]
Global F1 score (train) = 67.86 [%]
Global F1 score (test) = 68.65 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.36      0.45       400
MODERATE-INTENSITY       0.53      0.82      0.64       400
         SEDENTARY       0.84      0.88      0.86       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.71      0.69      0.68      1545


Accuracy capturado en la ejecución 18: 69.06 [%]
F1-score capturado en la ejecución 18: 68.65 [%]

=== EJECUCIÓN 19 ===

--- TRAIN (ejecución 19) ---

--- TEST (ejecución 19) ---
2025-11-07 10:41:24.289623: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:24.301299: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508484.314882 2403497 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508484.318887 2403497 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508484.328581 2403497 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508484.328600 2403497 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508484.328603 2403497 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508484.328604 2403497 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:24.331667: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38177	validation-mlogloss:1.38180
[1]	train-mlogloss:1.37761	validation-mlogloss:1.37794
[2]	train-mlogloss:1.37319	validation-mlogloss:1.37359
[3]	train-mlogloss:1.36878	validation-mlogloss:1.36921
[4]	train-mlogloss:1.36448	validation-mlogloss:1.36503
[5]	train-mlogloss:1.36031	validation-mlogloss:1.36082
[6]	train-mlogloss:1.35602	validation-mlogloss:1.35693
[7]	train-mlogloss:1.35185	validation-mlogloss:1.35303
[8]	train-mlogloss:1.34809	validation-mlogloss:1.34927
[9]	train-mlogloss:1.34423	validation-mlogloss:1.34567
[10]	train-mlogloss:1.34020	validation-mlogloss:1.34160
[11]	train-mlogloss:1.33626	validation-mlogloss:1.33787
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[312]	train-mlogloss:0.85558	validation-mlogloss:0.86243
[313]	train-mlogloss:0.85498	validation-mlogloss:0.86190
[314]	train-mlogloss:0.85441	validation-mlogloss:0.86129
[315]	train-mlogloss:0.85386	validation-mlogloss:0.86078
[316]	train-mlogloss:0.85314	validation-mlogloss:0.86009
[317]	train-mlogloss:0.85252	validation-mlogloss:0.85951
[318]	train-mlogloss:0.85205	validation-mlogloss:0.85908
[319]	train-mlogloss:0.85145	validation-mlogloss:0.85847
[320]	train-mlogloss:0.85080	validation-mlogloss:0.85778
[321]	train-mlogloss:0.85022	validation-mlogloss:0.85719
[322]	train-mlogloss:0.84968	validation-mlogloss:0.85659
[323]	train-mlogloss:0.84916	validation-mlogloss:0.85614
[324]	train-mlogloss:0.84858	validation-mlogloss:0.85562
[325]	train-mlogloss:0.84805	validation-mlogloss:0.85514
[326]	train-mlogloss:0.84748	validation-mlogloss:0.85461
[327]	train-mlogloss:0.84687	validation-mlogloss:0.85413
[328]	train-mlogloss:0.84630	validation-mlogloss:0.85362
[329]	train-mlogloss:0.84580	validation-mlogloss:0.85315
[330]	train-mlogloss:0.84525	validation-mlogloss:0.85259
[331]	train-mlogloss:0.84467	validation-mlogloss:0.85201
[332]	train-mlogloss:0.84421	validation-mlogloss:0.85161
[333]	train-mlogloss:0.84367	validation-mlogloss:0.85110
[334]	train-mlogloss:0.84318	validation-mlogloss:0.85054
[335]	train-mlogloss:0.84257	validation-mlogloss:0.84992
[336]	train-mlogloss:0.84207	validation-mlogloss:0.84939
[337]	train-mlogloss:0.84145	validation-mlogloss:0.84874
[338]	train-mlogloss:0.84097	validation-mlogloss:0.84832
[339]	train-mlogloss:0.84048	validation-mlogloss:0.84787
[340]	train-mlogloss:0.83988	validation-mlogloss:0.84727
[341]	train-mlogloss:0.83939	validation-mlogloss:0.84677
[342]	train-mlogloss:0.83877	validation-mlogloss:0.84622
[343]	train-mlogloss:0.83821	validation-mlogloss:0.84573
[344]	train-mlogloss:0.83771	validation-mlogloss:0.84523
[345]	train-mlogloss:0.83716	validation-mlogloss:0.84472
[346]	train-mlogloss:0.83666	validation-mlogloss:0.84428
[347]	train-mlogloss:0.83605	validation-mlogloss:0.84370
[348]	train-mlogloss:0.83561	validation-mlogloss:0.84318
[349]	train-mlogloss:0.83518	validation-mlogloss:0.84273
[350]	train-mlogloss:0.83458	validation-mlogloss:0.84216
[351]	train-mlogloss:0.83411	validation-mlogloss:0.84174
[352]	train-mlogloss:0.83364	validation-mlogloss:0.84127
[353]	train-mlogloss:0.83312	validation-mlogloss:0.84075
[354]	train-mlogloss:0.83263	validation-mlogloss:0.84022
[355]	train-mlogloss:0.83207	validation-mlogloss:0.83969
[356]	train-mlogloss:0.83160	validation-mlogloss:0.83922
[357]	train-mlogloss:0.83105	validation-mlogloss:0.83867
[358]	train-mlogloss:0.83058	validation-mlogloss:0.83821
[359]	train-mlogloss:0.83010	validation-mlogloss:0.83774
[360]	train-mlogloss:0.82956	validation-mlogloss:0.83720
[361]	train-mlogloss:0.82908	validation-mlogloss:0.83671
[362]	train-mlogloss:0.82851	validation-mlogloss:0.83611
[363]	train-mlogloss:0.82803	validation-mlogloss:0.83560
[364]	train-mlogloss:0.82758	validation-mlogloss:0.83520
[365]	train-mlogloss:0.82711	validation-mlogloss:0.83472
[366]	train-mlogloss:0.82666	validation-mlogloss:0.83423
[367]	train-mlogloss:0.82617	validation-mlogloss:0.83374
[368]	train-mlogloss:0.82572	validation-mlogloss:0.83331
[369]	train-mlogloss:0.82520	validation-mlogloss:0.83281
[370]	train-mlogloss:0.82483	validation-mlogloss:0.83245
[371]	train-mlogloss:0.82441	validation-mlogloss:0.83216
[372]	train-mlogloss:0.82393	validation-mlogloss:0.83164
[373]	train-mlogloss:0.82357	validation-mlogloss:0.83125
[374]	train-mlogloss:0.82306	validation-mlogloss:0.83072
[375]	train-mlogloss:0.82253	validation-mlogloss:0.83017
[376]	train-mlogloss:0.82205	validation-mlogloss:0.82970
[377]	train-mlogloss:0.82153	validation-mlogloss:0.82927
[378]	train-mlogloss:0.82107	validation-mlogloss:0.82888
[379]	train-mlogloss:0.82059	validation-mlogloss:0.82848
[380]	train-mlogloss:0.82013	validation-mlogloss:0.82806
[381]	train-mlogloss:0.81971	validation-mlogloss:0.82764
[382]	train-mlogloss:0.81919	validation-mlogloss:0.82718
[383]	train-mlogloss:0.81877	validation-mlogloss:0.82679
[384]	train-mlogloss:0.81839	validation-mlogloss:0.82639
[385]	train-mlogloss:0.81796	validation-mlogloss:0.82600
[386]	train-mlogloss:0.81754	validation-mlogloss:0.82561
[387]	train-mlogloss:0.81712	validation-mlogloss:0.82530
[388]	train-mlogloss:0.81661	validation-mlogloss:0.82480
[389]	train-mlogloss:0.81619	validation-mlogloss:0.82442
[390]	train-mlogloss:0.81573	validation-mlogloss:0.82395
[391]	train-mlogloss:0.81535	validation-mlogloss:0.82354
[392]	train-mlogloss:0.81491	validation-mlogloss:0.82314
[393]	train-mlogloss:0.81439	validation-mlogloss:0.82262
[394]	train-mlogloss:0.81400	validation-mlogloss:0.82227
[395]	train-mlogloss:0.81361	validation-mlogloss:0.82189
[396]	train-mlogloss:0.81316	validation-mlogloss:0.82144
[397]	train-mlogloss:0.81277	validation-mlogloss:0.82113
[398]	train-mlogloss:0.81234	validation-mlogloss:0.82072
[399]	train-mlogloss:0.81187	validation-mlogloss:0.82032
[400]	train-mlogloss:0.81149	validation-mlogloss:0.82003
[401]	train-mlogloss:0.81111	validation-mlogloss:0.81969
[402]	train-mlogloss:0.81070	validation-mlogloss:0.81931
[403]	train-mlogloss:0.81030	validation-mlogloss:0.81893
[404]	train-mlogloss:0.80986	validation-mlogloss:0.81853
[405]	train-mlogloss:0.80946	validation-mlogloss:0.81818
[406]	train-mlogloss:0.80903	validation-mlogloss:0.81777
[407]	train-mlogloss:0.80867	validation-mlogloss:0.81743
[408]	train-mlogloss:0.80824	validation-mlogloss:0.81700
[409]	train-mlogloss:0.80785	validation-mlogloss:0.81668
[410]	train-mlogloss:0.80742	validation-mlogloss:0.81628
[411]	train-mlogloss:0.80702	validation-mlogloss:0.81591
[412]	train-mlogloss:0.80669	validation-mlogloss:0.81560
[413]	train-mlogloss:0.80631	validation-mlogloss:0.81524
[414]	train-mlogloss:0.80590	validation-mlogloss:0.81481
[415]	train-mlogloss:0.80547	validation-mlogloss:0.81439
[416]	train-mlogloss:0.80511	validation-mlogloss:0.81410
[417]	train-mlogloss:0.80463	validation-mlogloss:0.81372
[418]	train-mlogloss:0.80429	validation-mlogloss:0.81345
[419]	train-mlogloss:0.80392	validation-mlogloss:0.81307
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.13 [%]
Global accuracy score (test) = 67.9 [%]
Global F1 score (train) = 68.75 [%]
Global F1 score (test) = 67.17 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.32      0.41       400
MODERATE-INTENSITY       0.52      0.83      0.64       400
         SEDENTARY       0.84      0.86      0.85       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 19: 67.9 [%]
F1-score capturado en la ejecución 19: 67.17 [%]

=== EJECUCIÓN 20 ===

--- TRAIN (ejecución 20) ---

--- TEST (ejecución 20) ---
2025-11-07 10:41:36.021603: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:36.033175: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508496.046997 2403766 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508496.051398 2403766 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508496.061866 2403766 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508496.061887 2403766 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508496.061889 2403766 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508496.061891 2403766 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:36.064993: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38207	validation-mlogloss:1.38225
[1]	train-mlogloss:1.37772	validation-mlogloss:1.37793
[2]	train-mlogloss:1.37351	validation-mlogloss:1.37381
[3]	train-mlogloss:1.36922	validation-mlogloss:1.36951
[4]	train-mlogloss:1.36498	validation-mlogloss:1.36559
[5]	train-mlogloss:1.36086	validation-mlogloss:1.36137
[6]	train-mlogloss:1.35661	validation-mlogloss:1.35705
[7]	train-mlogloss:1.35237	validation-mlogloss:1.35283
[8]	train-mlogloss:1.34822	validation-mlogloss:1.34869
[9]	train-mlogloss:1.34412	validation-mlogloss:1.34455
[10]	train-mlogloss:1.33980	validation-mlogloss:1.34034
[11]	train-mlogloss:1.33560	validation-mlogloss:1.33631
[12]	train-mlogloss:1.33182	validation-mlogloss:1.33239
[13]	train-mlogloss:1.32766	validation-mlogloss:1.32854
[14]	train-mlogloss:1.32372	validation-mlogloss:1.32467
[15]	train-mlogloss:1.31989	validation-mlogloss:1.32095
[16]	train-mlogloss:1.31612	validation-mlogloss:1.31718
[17]	train-mlogloss:1.31254	validation-mlogloss:1.31373
[18]	train-mlogloss:1.30883	validation-mlogloss:1.31015
[19]	train-mlogloss:1.30508	validation-mlogloss:1.30620
[20]	train-mlogloss:1.30139	validation-mlogloss:1.30250
[21]	train-mlogloss:1.29788	validation-mlogloss:1.29896
[22]	train-mlogloss:1.29431	validation-mlogloss:1.29532
[23]	train-mlogloss:1.29087	validation-mlogloss:1.29218
[24]	train-mlogloss:1.28748	validation-mlogloss:1.28877
[25]	train-mlogloss:1.28371	validation-mlogloss:1.28530
[26]	train-mlogloss:1.28023	validation-mlogloss:1.28188
[27]	train-mlogloss:1.27682	validation-mlogloss:1.27860
[28]	train-mlogloss:1.27336	validation-mlogloss:1.27512
[29]	train-mlogloss:1.26999	validation-mlogloss:1.27172
[30]	train-mlogloss:1.26663	validation-mlogloss:1.26834
[31]	train-mlogloss:1.26325	validation-mlogloss:1.26486
[32]	train-mlogloss:1.26003	validation-mlogloss:1.26165
[33]	train-mlogloss:1.25687	validation-mlogloss:1.25866
[34]	train-mlogloss:1.25359	validation-mlogloss:1.25530
[35]	train-mlogloss:1.25041	validation-mlogloss:1.25213
[36]	train-mlogloss:1.24726	validation-mlogloss:1.24897
[37]	train-mlogloss:1.24417	validation-mlogloss:1.24604
[38]	train-mlogloss:1.24106	validation-mlogloss:1.24289
[39]	train-mlogloss:1.23802	validation-mlogloss:1.23978
[40]	train-mlogloss:1.23500	validation-mlogloss:1.23682
[41]	train-mlogloss:1.23202	validation-mlogloss:1.23373
[42]	train-mlogloss:1.22895	validation-mlogloss:1.23059
[43]	train-mlogloss:1.22580	validation-mlogloss:1.22756
[44]	train-mlogloss:1.22293	validation-mlogloss:1.22479
[45]	train-mlogloss:1.22004	validation-mlogloss:1.22190
[46]	train-mlogloss:1.21714	validation-mlogloss:1.21893
[47]	train-mlogloss:1.21431	validation-mlogloss:1.21601
[48]	train-mlogloss:1.21151	validation-mlogloss:1.21323
[49]	train-mlogloss:1.20865	validation-mlogloss:1.21036
[50]	train-mlogloss:1.20585	validation-mlogloss:1.20751
[51]	train-mlogloss:1.20309	validation-mlogloss:1.20472
[52]	train-mlogloss:1.20040	validation-mlogloss:1.20199
[53]	train-mlogloss:1.19772	validation-mlogloss:1.19940
[54]	train-mlogloss:1.19508	validation-mlogloss:1.19679
[55]	train-mlogloss:1.19239	validation-mlogloss:1.19407
[56]	train-mlogloss:1.18974	validation-mlogloss:1.19147
[57]	train-mlogloss:1.18710	validation-mlogloss:1.18883
[58]	train-mlogloss:1.18445	validation-mlogloss:1.18614
[59]	train-mlogloss:1.18194	validation-mlogloss:1.18353
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[359]	train-mlogloss:0.82912	validation-mlogloss:0.82951
[360]	train-mlogloss:0.82866	validation-mlogloss:0.82913
[361]	train-mlogloss:0.82821	validation-mlogloss:0.82873
[362]	train-mlogloss:0.82780	validation-mlogloss:0.82831
[363]	train-mlogloss:0.82732	validation-mlogloss:0.82784
[364]	train-mlogloss:0.82689	validation-mlogloss:0.82740
[365]	train-mlogloss:0.82641	validation-mlogloss:0.82696
[366]	train-mlogloss:0.82594	validation-mlogloss:0.82658
[367]	train-mlogloss:0.82546	validation-mlogloss:0.82608
[368]	train-mlogloss:0.82497	validation-mlogloss:0.82563
[369]	train-mlogloss:0.82454	validation-mlogloss:0.82521
[370]	train-mlogloss:0.82401	validation-mlogloss:0.82464
[371]	train-mlogloss:0.82355	validation-mlogloss:0.82420
[372]	train-mlogloss:0.82302	validation-mlogloss:0.82373
[373]	train-mlogloss:0.82260	validation-mlogloss:0.82336
[374]	train-mlogloss:0.82204	validation-mlogloss:0.82283
[375]	train-mlogloss:0.82158	validation-mlogloss:0.82237
[376]	train-mlogloss:0.82103	validation-mlogloss:0.82177
[377]	train-mlogloss:0.82052	validation-mlogloss:0.82128
[378]	train-mlogloss:0.82010	validation-mlogloss:0.82088
[379]	train-mlogloss:0.81965	validation-mlogloss:0.82048
[380]	train-mlogloss:0.81923	validation-mlogloss:0.82006
[381]	train-mlogloss:0.81879	validation-mlogloss:0.81963
[382]	train-mlogloss:0.81828	validation-mlogloss:0.81915
[383]	train-mlogloss:0.81777	validation-mlogloss:0.81865
[384]	train-mlogloss:0.81733	validation-mlogloss:0.81823
[385]	train-mlogloss:0.81689	validation-mlogloss:0.81780
[386]	train-mlogloss:0.81648	validation-mlogloss:0.81737
[387]	train-mlogloss:0.81607	validation-mlogloss:0.81696
[388]	train-mlogloss:0.81562	validation-mlogloss:0.81652
[389]	train-mlogloss:0.81519	validation-mlogloss:0.81611
[390]	train-mlogloss:0.81478	validation-mlogloss:0.81575
[391]	train-mlogloss:0.81432	validation-mlogloss:0.81528
[392]	train-mlogloss:0.81384	validation-mlogloss:0.81483
[393]	train-mlogloss:0.81340	validation-mlogloss:0.81439
[394]	train-mlogloss:0.81306	validation-mlogloss:0.81402
[395]	train-mlogloss:0.81268	validation-mlogloss:0.81371
[396]	train-mlogloss:0.81221	validation-mlogloss:0.81320
[397]	train-mlogloss:0.81172	validation-mlogloss:0.81270
[398]	train-mlogloss:0.81124	validation-mlogloss:0.81224
[399]	train-mlogloss:0.81084	validation-mlogloss:0.81190
[400]	train-mlogloss:0.81038	validation-mlogloss:0.81154
[401]	train-mlogloss:0.80999	validation-mlogloss:0.81122
[402]	train-mlogloss:0.80958	validation-mlogloss:0.81088
[403]	train-mlogloss:0.80911	validation-mlogloss:0.81043
[404]	train-mlogloss:0.80879	validation-mlogloss:0.81005
[405]	train-mlogloss:0.80841	validation-mlogloss:0.80973
[406]	train-mlogloss:0.80800	validation-mlogloss:0.80935
[407]	train-mlogloss:0.80757	validation-mlogloss:0.80890
[408]	train-mlogloss:0.80716	validation-mlogloss:0.80849
[409]	train-mlogloss:0.80678	validation-mlogloss:0.80811
[410]	train-mlogloss:0.80632	validation-mlogloss:0.80767
[411]	train-mlogloss:0.80593	validation-mlogloss:0.80734
[412]	train-mlogloss:0.80553	validation-mlogloss:0.80703
[413]	train-mlogloss:0.80517	validation-mlogloss:0.80663
[414]	train-mlogloss:0.80475	validation-mlogloss:0.80627
[415]	train-mlogloss:0.80442	validation-mlogloss:0.80600
[416]	train-mlogloss:0.80404	validation-mlogloss:0.80570
[417]	train-mlogloss:0.80372	validation-mlogloss:0.80540
[418]	train-mlogloss:0.80331	validation-mlogloss:0.80504
[419]	train-mlogloss:0.80296	validation-mlogloss:0.80465
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.19 [%]
Global accuracy score (test) = 67.96 [%]
Global F1 score (train) = 68.59 [%]
Global F1 score (test) = 67.88 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.57      0.38      0.46       400
MODERATE-INTENSITY       0.53      0.79      0.63       400
         SEDENTARY       0.82      0.84      0.83       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.68      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 20: 67.96 [%]
F1-score capturado en la ejecución 20: 67.88 [%]

=== EJECUCIÓN 21 ===

--- TRAIN (ejecución 21) ---

--- TEST (ejecución 21) ---
2025-11-07 10:41:47.806646: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:47.817957: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508507.830923 2404022 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508507.834939 2404022 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508507.844828 2404022 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508507.844846 2404022 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508507.844855 2404022 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508507.844857 2404022 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:47.847930: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38185	validation-mlogloss:1.38188
[1]	train-mlogloss:1.37735	validation-mlogloss:1.37755
[2]	train-mlogloss:1.37303	validation-mlogloss:1.37342
[3]	train-mlogloss:1.36866	validation-mlogloss:1.36894
[4]	train-mlogloss:1.36438	validation-mlogloss:1.36471
[5]	train-mlogloss:1.36017	validation-mlogloss:1.36055
[6]	train-mlogloss:1.35594	validation-mlogloss:1.35627
[7]	train-mlogloss:1.35184	validation-mlogloss:1.35212
[8]	train-mlogloss:1.34772	validation-mlogloss:1.34794
[9]	train-mlogloss:1.34368	validation-mlogloss:1.34388
[10]	train-mlogloss:1.33960	validation-mlogloss:1.33978
[11]	train-mlogloss:1.33567	validation-mlogloss:1.33598
[12]	train-mlogloss:1.33166	validation-mlogloss:1.33195
[13]	train-mlogloss:1.32761	validation-mlogloss:1.32767
[14]	train-mlogloss:1.32377	validation-mlogloss:1.32413
[15]	train-mlogloss:1.31992	validation-mlogloss:1.32018
[16]	train-mlogloss:1.31613	validation-mlogloss:1.31658
[17]	train-mlogloss:1.31235	validation-mlogloss:1.31270
[18]	train-mlogloss:1.30867	validation-mlogloss:1.30900
[19]	train-mlogloss:1.30494	validation-mlogloss:1.30524
[20]	train-mlogloss:1.30132	validation-mlogloss:1.30169
[21]	train-mlogloss:1.29773	validation-mlogloss:1.29805
[22]	train-mlogloss:1.29414	validation-mlogloss:1.29454
[23]	train-mlogloss:1.29060	validation-mlogloss:1.29084
[24]	train-mlogloss:1.28709	validation-mlogloss:1.28725
[25]	train-mlogloss:1.28361	validation-mlogloss:1.28380
[26]	train-mlogloss:1.28007	validation-mlogloss:1.28021
[27]	train-mlogloss:1.27674	validation-mlogloss:1.27706
[28]	train-mlogloss:1.27338	validation-mlogloss:1.27349
[29]	train-mlogloss:1.26996	validation-mlogloss:1.26998
[30]	train-mlogloss:1.26657	validation-mlogloss:1.26650
[31]	train-mlogloss:1.26321	validation-mlogloss:1.26317
[32]	train-mlogloss:1.25996	validation-mlogloss:1.25973
[33]	train-mlogloss:1.25677	validation-mlogloss:1.25650
[34]	train-mlogloss:1.25352	validation-mlogloss:1.25322
[35]	train-mlogloss:1.25030	validation-mlogloss:1.25014
[36]	train-mlogloss:1.24715	validation-mlogloss:1.24692
[37]	train-mlogloss:1.24385	validation-mlogloss:1.24377
[38]	train-mlogloss:1.24070	validation-mlogloss:1.24060
[39]	train-mlogloss:1.23765	validation-mlogloss:1.23748
[40]	train-mlogloss:1.23461	validation-mlogloss:1.23426
[41]	train-mlogloss:1.23161	validation-mlogloss:1.23133
[42]	train-mlogloss:1.22832	validation-mlogloss:1.22801
[43]	train-mlogloss:1.22530	validation-mlogloss:1.22505
[44]	train-mlogloss:1.22236	validation-mlogloss:1.22213
[45]	train-mlogloss:1.21952	validation-mlogloss:1.21922
[46]	train-mlogloss:1.21658	validation-mlogloss:1.21623
[47]	train-mlogloss:1.21368	validation-mlogloss:1.21331
[48]	train-mlogloss:1.21073	validation-mlogloss:1.21033
[49]	train-mlogloss:1.20789	validation-mlogloss:1.20758
[50]	train-mlogloss:1.20502	validation-mlogloss:1.20466
[51]	train-mlogloss:1.20220	validation-mlogloss:1.20166
[52]	train-mlogloss:1.19945	validation-mlogloss:1.19871
[53]	train-mlogloss:1.19671	validation-mlogloss:1.19590
[54]	train-mlogloss:1.19392	validation-mlogloss:1.19314
[55]	train-mlogloss:1.19120	validation-mlogloss:1.19019
[56]	train-mlogloss:1.18851	validation-mlogloss:1.18748
[57]	train-mlogloss:1.18590	validation-mlogloss:1.18475
[58]	train-mlogloss:1.18324	validation-mlogloss:1.18191
[59]	train-mlogloss:1.18085	validation-mlogloss:1.17964
[60]	train-mlogloss:1.17828	validation-mlogloss:1.17702
[61]	train-mlogloss:1.17572	validation-mlogloss:1.17458
[62]	train-mlogloss:1.17302	validation-mlogloss:1.17176
[63]	train-mlogloss:1.17047	validation-mlogloss:1.16925
[64]	train-mlogloss:1.16801	validation-mlogloss:1.16664
[65]	train-mlogloss:1.16551	validation-mlogloss:1.16408
[66]	train-mlogloss:1.16303	validation-mlogloss:1.16158
[67]	train-mlogloss:1.16057	validation-mlogloss:1.15909
[68]	train-mlogloss:1.15795	validation-mlogloss:1.15663
[69]	train-mlogloss:1.15542	validation-mlogloss:1.15414
[70]	train-mlogloss:1.15306	validation-mlogloss:1.15165
[71]	train-mlogloss:1.15075	validation-mlogloss:1.14936
[72]	train-mlogloss:1.14813	validation-mlogloss:1.14671
[73]	train-mlogloss:1.14587	validation-mlogloss:1.14431
[74]	train-mlogloss:1.14357	validation-mlogloss:1.14185
[75]	train-mlogloss:1.14126	validation-mlogloss:1.13952
[76]	train-mlogloss:1.13904	validation-mlogloss:1.13733
[77]	train-mlogloss:1.13677	validation-mlogloss:1.13502
[78]	train-mlogloss:1.13452	validation-mlogloss:1.13279
[79]	train-mlogloss:1.13223	validation-mlogloss:1.13044
[80]	train-mlogloss:1.13001	validation-mlogloss:1.12813
[81]	train-mlogloss:1.12762	validation-mlogloss:1.12590
[82]	train-mlogloss:1.12546	validation-mlogloss:1.12376
[83]	train-mlogloss:1.12334	validation-mlogloss:1.12161
[84]	train-mlogloss:1.12094	validation-mlogloss:1.11924
[85]	train-mlogloss:1.11883	validation-mlogloss:1.11721
[86]	train-mlogloss:1.11651	validation-mlogloss:1.11484
[87]	train-mlogloss:1.11416	validation-mlogloss:1.11261
[88]	train-mlogloss:1.11181	validation-mlogloss:1.11046
[89]	train-mlogloss:1.10971	validation-mlogloss:1.10830
[90]	train-mlogloss:1.10749	validation-mlogloss:1.10617
[91]	train-mlogloss:1.10517	validation-mlogloss:1.10377
[92]	train-mlogloss:1.10315	validation-mlogloss:1.10171
[93]	train-mlogloss:1.10100	validation-mlogloss:1.09962
[94]	train-mlogloss:1.09901	validation-mlogloss:1.09766
[95]	train-mlogloss:1.09707	validation-mlogloss:1.09576
[96]	train-mlogloss:1.09483	validation-mlogloss:1.09361
[97]	train-mlogloss:1.09271	validation-mlogloss:1.09157
[98]	train-mlogloss:1.09065	validation-mlogloss:1.08950
[99]	train-mlogloss:1.08876	validation-mlogloss:1.08760
[100]	train-mlogloss:1.08685	validation-mlogloss:1.08562
[101]	train-mlogloss:1.08483	validation-mlogloss:1.08369
[102]	train-mlogloss:1.08295	validation-mlogloss:1.08182
[103]	train-mlogloss:1.08108	validation-mlogloss:1.07986
[104]	train-mlogloss:1.07895	validation-mlogloss:1.07773
[105]	train-mlogloss:1.07688	validation-mlogloss:1.07566
[106]	train-mlogloss:1.07509	validation-mlogloss:1.07374
[107]	train-mlogloss:1.07310	validation-mlogloss:1.07179
[108]	train-mlogloss:1.07103	validation-mlogloss:1.06977
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[407]	train-mlogloss:0.80336	validation-mlogloss:0.79961
[408]	train-mlogloss:0.80289	validation-mlogloss:0.79907
[409]	train-mlogloss:0.80246	validation-mlogloss:0.79867
[410]	train-mlogloss:0.80202	validation-mlogloss:0.79817
[411]	train-mlogloss:0.80166	validation-mlogloss:0.79780
[412]	train-mlogloss:0.80129	validation-mlogloss:0.79741
[413]	train-mlogloss:0.80087	validation-mlogloss:0.79703
[414]	train-mlogloss:0.80052	validation-mlogloss:0.79663
[415]	train-mlogloss:0.80013	validation-mlogloss:0.79623
[416]	train-mlogloss:0.79978	validation-mlogloss:0.79588
[417]	train-mlogloss:0.79943	validation-mlogloss:0.79555
[418]	train-mlogloss:0.79902	validation-mlogloss:0.79518
[419]	train-mlogloss:0.79863	validation-mlogloss:0.79475
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.21 [%]
Global accuracy score (test) = 67.96 [%]
Global F1 score (train) = 68.8 [%]
Global F1 score (test) = 67.75 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.57      0.36      0.44       400
MODERATE-INTENSITY       0.53      0.81      0.64       400
         SEDENTARY       0.83      0.84      0.84       400
VIGOROUS-INTENSITY       0.89      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.68      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 21: 67.96 [%]
F1-score capturado en la ejecución 21: 67.75 [%]

=== EJECUCIÓN 22 ===

--- TRAIN (ejecución 22) ---

--- TEST (ejecución 22) ---
2025-11-07 10:41:59.532180: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:41:59.544156: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508519.558273 2404276 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508519.562711 2404276 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508519.573272 2404276 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508519.573293 2404276 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508519.573296 2404276 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508519.573297 2404276 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:41:59.576692: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38193	validation-mlogloss:1.38191
[1]	train-mlogloss:1.37770	validation-mlogloss:1.37798
[2]	train-mlogloss:1.37296	validation-mlogloss:1.37359
[3]	train-mlogloss:1.36864	validation-mlogloss:1.36943
[4]	train-mlogloss:1.36441	validation-mlogloss:1.36553
[5]	train-mlogloss:1.36022	validation-mlogloss:1.36131
[6]	train-mlogloss:1.35607	validation-mlogloss:1.35738
[7]	train-mlogloss:1.35198	validation-mlogloss:1.35316
[8]	train-mlogloss:1.34791	validation-mlogloss:1.34920
[9]	train-mlogloss:1.34392	validation-mlogloss:1.34526
[10]	train-mlogloss:1.33991	validation-mlogloss:1.34117
[11]	train-mlogloss:1.33591	validation-mlogloss:1.33742
[12]	train-mlogloss:1.33175	validation-mlogloss:1.33340
[13]	train-mlogloss:1.32787	validation-mlogloss:1.32950
[14]	train-mlogloss:1.32398	validation-mlogloss:1.32567
[15]	train-mlogloss:1.32013	validation-mlogloss:1.32171
[16]	train-mlogloss:1.31640	validation-mlogloss:1.31795
[17]	train-mlogloss:1.31264	validation-mlogloss:1.31415
[18]	train-mlogloss:1.30903	validation-mlogloss:1.31047
[19]	train-mlogloss:1.30536	validation-mlogloss:1.30684
[20]	train-mlogloss:1.30169	validation-mlogloss:1.30328
[21]	train-mlogloss:1.29822	validation-mlogloss:1.29980
[22]	train-mlogloss:1.29466	validation-mlogloss:1.29629
[23]	train-mlogloss:1.29115	validation-mlogloss:1.29276
[24]	train-mlogloss:1.28763	validation-mlogloss:1.28943
[25]	train-mlogloss:1.28415	validation-mlogloss:1.28575
[26]	train-mlogloss:1.28069	validation-mlogloss:1.28230
[27]	train-mlogloss:1.27691	validation-mlogloss:1.27854
[28]	train-mlogloss:1.27353	validation-mlogloss:1.27509
[29]	train-mlogloss:1.27028	validation-mlogloss:1.27198
[30]	train-mlogloss:1.26699	validation-mlogloss:1.26871
[31]	train-mlogloss:1.26375	validation-mlogloss:1.26546
[32]	train-mlogloss:1.26054	validation-mlogloss:1.26226
[33]	train-mlogloss:1.25733	validation-mlogloss:1.25907
[34]	train-mlogloss:1.25404	validation-mlogloss:1.25576
[35]	train-mlogloss:1.25088	validation-mlogloss:1.25252
[36]	train-mlogloss:1.24776	validation-mlogloss:1.24948
[37]	train-mlogloss:1.24466	validation-mlogloss:1.24641
[38]	train-mlogloss:1.24168	validation-mlogloss:1.24354
[39]	train-mlogloss:1.23873	validation-mlogloss:1.24055
[40]	train-mlogloss:1.23571	validation-mlogloss:1.23744
[41]	train-mlogloss:1.23268	validation-mlogloss:1.23440
[42]	train-mlogloss:1.22973	validation-mlogloss:1.23125
[43]	train-mlogloss:1.22689	validation-mlogloss:1.22836
[44]	train-mlogloss:1.22403	validation-mlogloss:1.22551
[45]	train-mlogloss:1.22117	validation-mlogloss:1.22266
[46]	train-mlogloss:1.21831	validation-mlogloss:1.21959
[47]	train-mlogloss:1.21544	validation-mlogloss:1.21679
[48]	train-mlogloss:1.21264	validation-mlogloss:1.21386
[49]	train-mlogloss:1.20950	validation-mlogloss:1.21082
[50]	train-mlogloss:1.20666	validation-mlogloss:1.20789
[51]	train-mlogloss:1.20390	validation-mlogloss:1.20511
[52]	train-mlogloss:1.20120	validation-mlogloss:1.20249
[53]	train-mlogloss:1.19833	validation-mlogloss:1.19983
[54]	train-mlogloss:1.19565	validation-mlogloss:1.19720
[55]	train-mlogloss:1.19296	validation-mlogloss:1.19438
[56]	train-mlogloss:1.19029	validation-mlogloss:1.19157
[57]	train-mlogloss:1.18766	validation-mlogloss:1.18882
[58]	train-mlogloss:1.18505	validation-mlogloss:1.18622
[59]	train-mlogloss:1.18255	validation-mlogloss:1.18368
[60]	train-mlogloss:1.17994	validation-mlogloss:1.18101
[61]	train-mlogloss:1.17733	validation-mlogloss:1.17846
[62]	train-mlogloss:1.17477	validation-mlogloss:1.17582
[63]	train-mlogloss:1.17223	validation-mlogloss:1.17322
[64]	train-mlogloss:1.16976	validation-mlogloss:1.17069
[65]	train-mlogloss:1.16727	validation-mlogloss:1.16827
[66]	train-mlogloss:1.16487	validation-mlogloss:1.16579
[67]	train-mlogloss:1.16225	validation-mlogloss:1.16326
[68]	train-mlogloss:1.15983	validation-mlogloss:1.16090
[69]	train-mlogloss:1.15744	validation-mlogloss:1.15858
[70]	train-mlogloss:1.15506	validation-mlogloss:1.15625
[71]	train-mlogloss:1.15269	validation-mlogloss:1.15370
[72]	train-mlogloss:1.15034	validation-mlogloss:1.15137
[73]	train-mlogloss:1.14799	validation-mlogloss:1.14901
[74]	train-mlogloss:1.14547	validation-mlogloss:1.14654
[75]	train-mlogloss:1.14325	validation-mlogloss:1.14441
[76]	train-mlogloss:1.14092	validation-mlogloss:1.14206
[77]	train-mlogloss:1.13870	validation-mlogloss:1.13980
[78]	train-mlogloss:1.13646	validation-mlogloss:1.13739
[79]	train-mlogloss:1.13406	validation-mlogloss:1.13501
[80]	train-mlogloss:1.13162	validation-mlogloss:1.13267
[81]	train-mlogloss:1.12947	validation-mlogloss:1.13037
[82]	train-mlogloss:1.12711	validation-mlogloss:1.12811
[83]	train-mlogloss:1.12470	validation-mlogloss:1.12576
[84]	train-mlogloss:1.12268	validation-mlogloss:1.12381
[85]	train-mlogloss:1.12040	validation-mlogloss:1.12154
[86]	train-mlogloss:1.11806	validation-mlogloss:1.11931
[87]	train-mlogloss:1.11593	validation-mlogloss:1.11706
[88]	train-mlogloss:1.11389	validation-mlogloss:1.11480
[89]	train-mlogloss:1.11159	validation-mlogloss:1.11255
[90]	train-mlogloss:1.10940	validation-mlogloss:1.11048
[91]	train-mlogloss:1.10715	validation-mlogloss:1.10828
[92]	train-mlogloss:1.10513	validation-mlogloss:1.10607
[93]	train-mlogloss:1.10318	validation-mlogloss:1.10402
[94]	train-mlogloss:1.10123	validation-mlogloss:1.10203
[95]	train-mlogloss:1.09898	validation-mlogloss:1.09986
[96]	train-mlogloss:1.09679	validation-mlogloss:1.09780
[97]	train-mlogloss:1.09483	validation-mlogloss:1.09573
[98]	train-mlogloss:1.09266	validation-mlogloss:1.09354
[99]	train-mlogloss:1.09060	validation-mlogloss:1.09159
[100]	train-mlogloss:1.08873	validation-mlogloss:1.08966
[101]	train-mlogloss:1.08699	validation-mlogloss:1.08786
[102]	train-mlogloss:1.08503	validation-mlogloss:1.08605
[103]	train-mlogloss:1.08318	validation-mlogloss:1.08425
[104]	train-mlogloss:1.08108	validation-mlogloss:1.08219
[105]	train-mlogloss:1.07913	validation-mlogloss:1.08038
[106]	train-mlogloss:1.07747	validation-mlogloss:1.07870
[107]	train-mlogloss:1.07547	validation-mlogloss:1.07676
[108]	train-mlogloss:1.07363	validation-mlogloss:1.07492
[109]	train-mlogloss:1.07180	validation-mlogloss:1.07307
[110]	train-mlogloss:1.06989	validation-mlogloss:1.07119
[111]	train-mlogloss:1.06819	validation-mlogloss:1.06944
[112]	train-mlogloss:1.06644	validation-mlogloss:1.06768
[113]	train-mlogloss:1.06465	validation-mlogloss:1.06595
[114]	train-mlogloss:1.06271	validation-mlogloss:1.06410
[115]	train-mlogloss:1.06108	validation-mlogloss:1.06251
[116]	train-mlogloss:1.05926	validation-mlogloss:1.06078
[117]	train-mlogloss:1.05757	validation-mlogloss:1.05903
[118]	train-mlogloss:1.05566	validation-mlogloss:1.05723
[119]	train-mlogloss:1.05391	validation-mlogloss:1.05558
[120]	train-mlogloss:1.05229	validation-mlogloss:1.05397
[121]	train-mlogloss:1.05056	validation-mlogloss:1.05234
[122]	train-mlogloss:1.04888	validation-mlogloss:1.05080
[123]	train-mlogloss:1.04708	validation-mlogloss:1.04907
[124]	train-mlogloss:1.04551	validation-mlogloss:1.04748
[125]	train-mlogloss:1.04390	validation-mlogloss:1.04583
[126]	train-mlogloss:1.04235	validation-mlogloss:1.04426
[127]	train-mlogloss:1.04061	validation-mlogloss:1.04260
[128]	train-mlogloss:1.03884	validation-mlogloss:1.04086
[129]	train-mlogloss:1.03707	validation-mlogloss:1.03908
[130]	train-mlogloss:1.03555	validation-mlogloss:1.03748
[131]	train-mlogloss:1.03386	validation-mlogloss:1.03586
[132]	train-mlogloss:1.03237	validation-mlogloss:1.03429
[133]	train-mlogloss:1.03063	validation-mlogloss:1.03258
[134]	train-mlogloss:1.02899	validation-mlogloss:1.03098
[135]	train-mlogloss:1.02732	validation-mlogloss:1.02926
[136]	train-mlogloss:1.02576	validation-mlogloss:1.02780
[137]	train-mlogloss:1.02433	validation-mlogloss:1.02636
[138]	train-mlogloss:1.02268	validation-mlogloss:1.02474
[139]	train-mlogloss:1.02125	validation-mlogloss:1.02346
[140]	train-mlogloss:1.01981	validation-mlogloss:1.02201
[141]	train-mlogloss:1.01828	validation-mlogloss:1.02057
[142]	train-mlogloss:1.01689	validation-mlogloss:1.01920
[143]	train-mlogloss:1.01566	validation-mlogloss:1.01795
[144]	train-mlogloss:1.01410	validation-mlogloss:1.01636
[145]	train-mlogloss:1.01277	validation-mlogloss:1.01501
[146]	train-mlogloss:1.01127	validation-mlogloss:1.01353
[147]	train-mlogloss:1.00989	validation-mlogloss:1.01201
[148]	train-mlogloss:1.00841	validation-mlogloss:1.01054
[149]	train-mlogloss:1.00706	validation-mlogloss:1.00912
[150]	train-mlogloss:1.00573	validation-mlogloss:1.00766
[151]	train-mlogloss:1.00430	validation-mlogloss:1.00630
[152]	train-mlogloss:1.00280	validation-mlogloss:1.00484
[153]	train-mlogloss:1.00135	validation-mlogloss:1.00345
[154]	train-mlogloss:0.99989	validation-mlogloss:1.00208
[155]	train-mlogloss:0.99848	validation-mlogloss:1.00076
[156]	train-mlogloss:0.99711	validation-mlogloss:0.99940
[157]	train-mlogloss:0.99575	validation-mlogloss:0.99806
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.46 [%]
Global accuracy score (test) = 69.64 [%]
Global F1 score (train) = 68.94 [%]
Global F1 score (test) = 69.47 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.40      0.48       400
MODERATE-INTENSITY       0.56      0.83      0.66       400
         SEDENTARY       0.82      0.84      0.83       400
VIGOROUS-INTENSITY       0.90      0.72      0.80       345

          accuracy                           0.70      1545
         macro avg       0.72      0.70      0.69      1545
      weighted avg       0.72      0.70      0.69      1545


Accuracy capturado en la ejecución 22: 69.64 [%]
F1-score capturado en la ejecución 22: 69.47 [%]

=== EJECUCIÓN 23 ===

--- TRAIN (ejecución 23) ---

--- TEST (ejecución 23) ---
2025-11-07 10:42:11.425317: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:42:11.436732: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508531.450232 2404546 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508531.454359 2404546 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508531.464159 2404546 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508531.464178 2404546 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508531.464181 2404546 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508531.464182 2404546 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:42:11.467237: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38186	validation-mlogloss:1.38208
[1]	train-mlogloss:1.37748	validation-mlogloss:1.37751
[2]	train-mlogloss:1.37313	validation-mlogloss:1.37341
[3]	train-mlogloss:1.36886	validation-mlogloss:1.36944
[4]	train-mlogloss:1.36466	validation-mlogloss:1.36526
[5]	train-mlogloss:1.36045	validation-mlogloss:1.36111
[6]	train-mlogloss:1.35643	validation-mlogloss:1.35737
[7]	train-mlogloss:1.35228	validation-mlogloss:1.35333
[8]	train-mlogloss:1.34814	validation-mlogloss:1.34918
[9]	train-mlogloss:1.34422	validation-mlogloss:1.34538
[10]	train-mlogloss:1.34019	validation-mlogloss:1.34147
[11]	train-mlogloss:1.33606	validation-mlogloss:1.33751
[12]	train-mlogloss:1.33209	validation-mlogloss:1.33360
[13]	train-mlogloss:1.32815	validation-mlogloss:1.32965
[14]	train-mlogloss:1.32427	validation-mlogloss:1.32580
[15]	train-mlogloss:1.32057	validation-mlogloss:1.32207
[16]	train-mlogloss:1.31683	validation-mlogloss:1.31856
[17]	train-mlogloss:1.31316	validation-mlogloss:1.31512
[18]	train-mlogloss:1.30943	validation-mlogloss:1.31135
[19]	train-mlogloss:1.30572	validation-mlogloss:1.30761
[20]	train-mlogloss:1.30211	validation-mlogloss:1.30412
[21]	train-mlogloss:1.29854	validation-mlogloss:1.30058
[22]	train-mlogloss:1.29488	validation-mlogloss:1.29689
[23]	train-mlogloss:1.29134	validation-mlogloss:1.29341
[24]	train-mlogloss:1.28782	validation-mlogloss:1.28994
[25]	train-mlogloss:1.28430	validation-mlogloss:1.28642
[26]	train-mlogloss:1.28087	validation-mlogloss:1.28310
[27]	train-mlogloss:1.27738	validation-mlogloss:1.27982
[28]	train-mlogloss:1.27399	validation-mlogloss:1.27632
[29]	train-mlogloss:1.27059	validation-mlogloss:1.27292
[30]	train-mlogloss:1.26730	validation-mlogloss:1.26969
[31]	train-mlogloss:1.26394	validation-mlogloss:1.26647
[32]	train-mlogloss:1.26064	validation-mlogloss:1.26309
[33]	train-mlogloss:1.25740	validation-mlogloss:1.25982
[34]	train-mlogloss:1.25416	validation-mlogloss:1.25660
[35]	train-mlogloss:1.25091	validation-mlogloss:1.25351
[36]	train-mlogloss:1.24772	validation-mlogloss:1.25039
[37]	train-mlogloss:1.24460	validation-mlogloss:1.24718
[38]	train-mlogloss:1.24169	validation-mlogloss:1.24442
[39]	train-mlogloss:1.23862	validation-mlogloss:1.24131
[40]	train-mlogloss:1.23561	validation-mlogloss:1.23822
[41]	train-mlogloss:1.23257	validation-mlogloss:1.23537
[42]	train-mlogloss:1.22958	validation-mlogloss:1.23236
[43]	train-mlogloss:1.22654	validation-mlogloss:1.22955
[44]	train-mlogloss:1.22358	validation-mlogloss:1.22670
[45]	train-mlogloss:1.22073	validation-mlogloss:1.22376
[46]	train-mlogloss:1.21782	validation-mlogloss:1.22097
[47]	train-mlogloss:1.21497	validation-mlogloss:1.21807
[48]	train-mlogloss:1.21206	validation-mlogloss:1.21536
[49]	train-mlogloss:1.20924	validation-mlogloss:1.21272
[50]	train-mlogloss:1.20650	validation-mlogloss:1.21022
[51]	train-mlogloss:1.20376	validation-mlogloss:1.20755
[52]	train-mlogloss:1.20098	validation-mlogloss:1.20487
[53]	train-mlogloss:1.19821	validation-mlogloss:1.20207
[54]	train-mlogloss:1.19549	validation-mlogloss:1.19930
[55]	train-mlogloss:1.19279	validation-mlogloss:1.19675
[56]	train-mlogloss:1.19013	validation-mlogloss:1.19411
[57]	train-mlogloss:1.18742	validation-mlogloss:1.19145
[58]	train-mlogloss:1.18481	validation-mlogloss:1.18890
[59]	train-mlogloss:1.18225	validation-mlogloss:1.18627
[60]	train-mlogloss:1.17967	validation-mlogloss:1.18373
[61]	train-mlogloss:1.17708	validation-mlogloss:1.18126
[62]	train-mlogloss:1.17459	validation-mlogloss:1.17886
[63]	train-mlogloss:1.17206	validation-mlogloss:1.17637
[64]	train-mlogloss:1.16958	validation-mlogloss:1.17386
[65]	train-mlogloss:1.16710	validation-mlogloss:1.17161
[66]	train-mlogloss:1.16463	validation-mlogloss:1.16911
[67]	train-mlogloss:1.16223	validation-mlogloss:1.16689
[68]	train-mlogloss:1.15979	validation-mlogloss:1.16453
[69]	train-mlogloss:1.15739	validation-mlogloss:1.16212
[70]	train-mlogloss:1.15501	validation-mlogloss:1.15972
[71]	train-mlogloss:1.15259	validation-mlogloss:1.15731
[72]	train-mlogloss:1.15005	validation-mlogloss:1.15505
[73]	train-mlogloss:1.14771	validation-mlogloss:1.15272
[74]	train-mlogloss:1.14540	validation-mlogloss:1.15033
[75]	train-mlogloss:1.14317	validation-mlogloss:1.14816
[76]	train-mlogloss:1.14092	validation-mlogloss:1.14585
[77]	train-mlogloss:1.13848	validation-mlogloss:1.14351
[78]	train-mlogloss:1.13623	validation-mlogloss:1.14144
[79]	train-mlogloss:1.13395	validation-mlogloss:1.13932
[80]	train-mlogloss:1.13175	validation-mlogloss:1.13716
[81]	train-mlogloss:1.12958	validation-mlogloss:1.13500
[82]	train-mlogloss:1.12744	validation-mlogloss:1.13281
[83]	train-mlogloss:1.12530	validation-mlogloss:1.13078
[84]	train-mlogloss:1.12297	validation-mlogloss:1.12862
[85]	train-mlogloss:1.12087	validation-mlogloss:1.12642
[86]	train-mlogloss:1.11873	validation-mlogloss:1.12424
[87]	train-mlogloss:1.11662	validation-mlogloss:1.12218
[88]	train-mlogloss:1.11454	validation-mlogloss:1.12012
[89]	train-mlogloss:1.11222	validation-mlogloss:1.11785
[90]	train-mlogloss:1.11018	validation-mlogloss:1.11580
[91]	train-mlogloss:1.10814	validation-mlogloss:1.11367
[92]	train-mlogloss:1.10608	validation-mlogloss:1.11156
[93]	train-mlogloss:1.10383	validation-mlogloss:1.10947
[94]	train-mlogloss:1.10156	validation-mlogloss:1.10727
[95]	train-mlogloss:1.09929	validation-mlogloss:1.10514
[96]	train-mlogloss:1.09738	validation-mlogloss:1.10316
[97]	train-mlogloss:1.09541	validation-mlogloss:1.10120
[98]	train-mlogloss:1.09323	validation-mlogloss:1.09914
[99]	train-mlogloss:1.09131	validation-mlogloss:1.09725
[100]	train-mlogloss:1.08950	validation-mlogloss:1.09548
[101]	train-mlogloss:1.08762	validation-mlogloss:1.09350
[102]	train-mlogloss:1.08547	validation-mlogloss:1.09139
[103]	train-mlogloss:1.08359	validation-mlogloss:1.08959
[104]	train-mlogloss:1.08147	validation-mlogloss:1.08760
[105]	train-mlogloss:1.07941	validation-mlogloss:1.08563
[106]	train-mlogloss:1.07758	validation-mlogloss:1.08384
[107]	train-mlogloss:1.07579	validation-mlogloss:1.08214
[108]	train-mlogloss:1.07376	validation-mlogloss:1.08008
[109]	train-mlogloss:1.07195	validation-mlogloss:1.07833
[110]	train-mlogloss:1.07014	validation-mlogloss:1.07657
[111]	train-mlogloss:1.06830	validation-mlogloss:1.07474
[112]	train-mlogloss:1.06641	validation-mlogloss:1.07291
[113]	train-mlogloss:1.06461	validation-mlogloss:1.07110
[114]	train-mlogloss:1.06278	validation-mlogloss:1.06936
[115]	train-mlogloss:1.06083	validation-mlogloss:1.06746
[116]	train-mlogloss:1.05898	validation-mlogloss:1.06562
[117]	train-mlogloss:1.05717	validation-mlogloss:1.06396
[118]	train-mlogloss:1.05534	validation-mlogloss:1.06220
[119]	train-mlogloss:1.05370	validation-mlogloss:1.06061
[120]	train-mlogloss:1.05179	validation-mlogloss:1.05872
[121]	train-mlogloss:1.05018	validation-mlogloss:1.05703
[122]	train-mlogloss:1.04861	validation-mlogloss:1.05544
[123]	train-mlogloss:1.04696	validation-mlogloss:1.05386
[124]	train-mlogloss:1.04523	validation-mlogloss:1.05222
[125]	train-mlogloss:1.04347	validation-mlogloss:1.05051
[126]	train-mlogloss:1.04162	validation-mlogloss:1.04860
[127]	train-mlogloss:1.04003	validation-mlogloss:1.04711
[128]	train-mlogloss:1.03849	validation-mlogloss:1.04554
[129]	train-mlogloss:1.03679	validation-mlogloss:1.04392
[130]	train-mlogloss:1.03508	validation-mlogloss:1.04228
[131]	train-mlogloss:1.03353	validation-mlogloss:1.04083
[132]	train-mlogloss:1.03182	validation-mlogloss:1.03919
[133]	train-mlogloss:1.03034	validation-mlogloss:1.03787
[134]	train-mlogloss:1.02861	validation-mlogloss:1.03612
[135]	train-mlogloss:1.02698	validation-mlogloss:1.03459
[136]	train-mlogloss:1.02537	validation-mlogloss:1.03310
[137]	train-mlogloss:1.02373	validation-mlogloss:1.03149
[138]	train-mlogloss:1.02223	validation-mlogloss:1.03000
[139]	train-mlogloss:1.02056	validation-mlogloss:1.02833
[140]	train-mlogloss:1.01911	validation-mlogloss:1.02677
[141]	train-mlogloss:1.01775	validation-mlogloss:1.02541
[142]	train-mlogloss:1.01634	validation-mlogloss:1.02394
[143]	train-mlogloss:1.01493	validation-mlogloss:1.02251
[144]	train-mlogloss:1.01340	validation-mlogloss:1.02096
[145]	train-mlogloss:1.01185	validation-mlogloss:1.01948
[146]	train-mlogloss:1.01033	validation-mlogloss:1.01796
[147]	train-mlogloss:1.00881	validation-mlogloss:1.01650
[148]	train-mlogloss:1.00745	validation-mlogloss:1.01513
[149]	train-mlogloss:1.00599	validation-mlogloss:1.01374
[150]	train-mlogloss:1.00446	validation-mlogloss:1.01223
[151]	train-mlogloss:1.00311	validation-mlogloss:1.01094
[152]	train-mlogloss:1.00179	validation-mlogloss:1.00969
[153]	train-mlogloss:1.00044	validation-mlogloss:1.00846
[154]	train-mlogloss:0.99921	validation-mlogloss:1.00721
[155]	train-mlogloss:0.99774	validation-mlogloss:1.00574
[156]	train-mlogloss:0.99634	validation-mlogloss:1.00433
[157]	train-mlogloss:0.99507	validation-mlogloss:1.00295
[158]	train-mlogloss:0.99385	validation-mlogloss:1.00162
[159]	train-mlogloss:0.99240	validation-mlogloss:1.00016
[160]	train-mlogloss:0.99102	validation-mlogloss:0.99883
[161]	train-mlogloss:0.98963	validation-mlogloss:0.99745
[162]	train-mlogloss:0.98820	validation-mlogloss:0.99601
[163]	train-mlogloss:0.98703	validation-mlogloss:0.99482
[164]	train-mlogloss:0.98565	validation-mlogloss:0.99352
[165]	train-mlogloss:0.98443	validation-mlogloss:0.99232
[166]	train-mlogloss:0.98307	validation-mlogloss:0.99101
[167]	train-mlogloss:0.98173	validation-mlogloss:0.98968
[168]	train-mlogloss:0.98055	validation-mlogloss:0.98859
[169]	train-mlogloss:0.97940	validation-mlogloss:0.98745
[170]	train-mlogloss:0.97820	validation-mlogloss:0.98629
[171]	train-mlogloss:0.97688	validation-mlogloss:0.98498
[172]	train-mlogloss:0.97575	validation-mlogloss:0.98382
[173]	train-mlogloss:0.97446	validation-mlogloss:0.98259
[174]	train-mlogloss:0.97334	validation-mlogloss:0.98149
[175]	train-mlogloss:0.97206	validation-mlogloss:0.98015
[176]	train-mlogloss:0.97089	validation-mlogloss:0.97892
[177]	train-mlogloss:0.96965	validation-mlogloss:0.97769
[178]	train-mlogloss:0.96836	validation-mlogloss:0.97637
[179]	train-mlogloss:0.96724	validation-mlogloss:0.97524
[180]	train-mlogloss:0.96603	validation-mlogloss:0.97398
[181]	train-mlogloss:0.96490	validation-mlogloss:0.97279
[182]	train-mlogloss:0.96374	validation-mlogloss:0.97161
[183]	train-mlogloss:0.96256	validation-mlogloss:0.97039
[184]	train-mlogloss:0.96134	validation-mlogloss:0.96921
[185]	train-mlogloss:0.96014	validation-mlogloss:0.96802
[186]	train-mlogloss:0.95910	validation-mlogloss:0.96703
[187]	train-mlogloss:0.95808	validation-mlogloss:0.96605
[188]	train-mlogloss:0.95698	validation-mlogloss:0.96504
[189]	train-mlogloss:0.95582	validation-mlogloss:0.96387
[190]	train-mlogloss:0.95463	validation-mlogloss:0.96272
[191]	train-mlogloss:0.95346	validation-mlogloss:0.96153
[192]	train-mlogloss:0.95244	validation-mlogloss:0.96057
[193]	train-mlogloss:0.95141	validation-mlogloss:0.95951
[194]	train-mlogloss:0.95023	validation-mlogloss:0.95825
[195]	train-mlogloss:0.94909	validation-mlogloss:0.95714
[196]	train-mlogloss:0.94793	validation-mlogloss:0.95602
[197]	train-mlogloss:0.94676	validation-mlogloss:0.95483
[198]	train-mlogloss:0.94582	validation-mlogloss:0.95383
[199]	train-mlogloss:0.94470	validation-mlogloss:0.95269
[200]	train-mlogloss:0.94373	validation-mlogloss:0.95177
[201]	train-mlogloss:0.94272	validation-mlogloss:0.95080
[202]	train-mlogloss:0.94162	validation-mlogloss:0.94965
[203]	train-mlogloss:0.94055	validation-mlogloss:0.94856
[204]	train-mlogloss:0.93944	validation-mlogloss:0.94740
[205]	train-mlogloss:0.93840	validation-mlogloss:0.94632
[206]	train-mlogloss:0.93734	validation-mlogloss:0.94531
[207]	train-mlogloss:0.93622	validation-mlogloss:0.94408
[208]	train-mlogloss:0.93514	validation-mlogloss:0.94295
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[384]	train-mlogloss:0.81600	validation-mlogloss:0.82440
[385]	train-mlogloss:0.81559	validation-mlogloss:0.82397
[386]	train-mlogloss:0.81517	validation-mlogloss:0.82363
[387]	train-mlogloss:0.81479	validation-mlogloss:0.82331
[388]	train-mlogloss:0.81444	validation-mlogloss:0.82301
[389]	train-mlogloss:0.81408	validation-mlogloss:0.82264
[390]	train-mlogloss:0.81370	validation-mlogloss:0.82232
[391]	train-mlogloss:0.81322	validation-mlogloss:0.82183
[392]	train-mlogloss:0.81279	validation-mlogloss:0.82142
[393]	train-mlogloss:0.81241	validation-mlogloss:0.82105
[394]	train-mlogloss:0.81192	validation-mlogloss:0.82059
[395]	train-mlogloss:0.81152	validation-mlogloss:0.82021
[396]	train-mlogloss:0.81105	validation-mlogloss:0.81973
[397]	train-mlogloss:0.81063	validation-mlogloss:0.81932
[398]	train-mlogloss:0.81024	validation-mlogloss:0.81894
[399]	train-mlogloss:0.80987	validation-mlogloss:0.81855
[400]	train-mlogloss:0.80944	validation-mlogloss:0.81812
[401]	train-mlogloss:0.80901	validation-mlogloss:0.81764
[402]	train-mlogloss:0.80863	validation-mlogloss:0.81724
[403]	train-mlogloss:0.80826	validation-mlogloss:0.81692
[404]	train-mlogloss:0.80783	validation-mlogloss:0.81652
[405]	train-mlogloss:0.80738	validation-mlogloss:0.81609
[406]	train-mlogloss:0.80702	validation-mlogloss:0.81574
[407]	train-mlogloss:0.80663	validation-mlogloss:0.81534
[408]	train-mlogloss:0.80626	validation-mlogloss:0.81502
[409]	train-mlogloss:0.80589	validation-mlogloss:0.81471
[410]	train-mlogloss:0.80554	validation-mlogloss:0.81442
[411]	train-mlogloss:0.80517	validation-mlogloss:0.81404
[412]	train-mlogloss:0.80484	validation-mlogloss:0.81373
[413]	train-mlogloss:0.80441	validation-mlogloss:0.81327
[414]	train-mlogloss:0.80391	validation-mlogloss:0.81274
[415]	train-mlogloss:0.80355	validation-mlogloss:0.81235
[416]	train-mlogloss:0.80315	validation-mlogloss:0.81194
[417]	train-mlogloss:0.80276	validation-mlogloss:0.81161
[418]	train-mlogloss:0.80240	validation-mlogloss:0.81126
[419]	train-mlogloss:0.80205	validation-mlogloss:0.81090
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 1 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.05 [%]
Global accuracy score (test) = 67.38 [%]
Global F1 score (train) = 68.78 [%]
Global F1 score (test) = 67.41 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.55      0.38      0.45       400
MODERATE-INTENSITY       0.53      0.79      0.63       400
         SEDENTARY       0.81      0.82      0.82       400
VIGOROUS-INTENSITY       0.90      0.71      0.80       345

          accuracy                           0.67      1545
         macro avg       0.70      0.68      0.67      1545
      weighted avg       0.69      0.67      0.67      1545


Accuracy capturado en la ejecución 23: 67.38 [%]
F1-score capturado en la ejecución 23: 67.41 [%]

=== EJECUCIÓN 24 ===

--- TRAIN (ejecución 24) ---

--- TEST (ejecución 24) ---
2025-11-07 10:42:23.213466: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:42:23.224851: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508543.238096 2404801 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508543.242263 2404801 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508543.252146 2404801 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508543.252164 2404801 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508543.252166 2404801 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508543.252168 2404801 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:42:23.255156: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
Training a non-convolutional model.
[0]	train-mlogloss:1.38230	validation-mlogloss:1.38260
[1]	train-mlogloss:1.37750	validation-mlogloss:1.37808
[2]	train-mlogloss:1.37315	validation-mlogloss:1.37396
[3]	train-mlogloss:1.36889	validation-mlogloss:1.36994
[4]	train-mlogloss:1.36472	validation-mlogloss:1.36565
[5]	train-mlogloss:1.36052	validation-mlogloss:1.36139
[6]	train-mlogloss:1.35659	validation-mlogloss:1.35759
[7]	train-mlogloss:1.35253	validation-mlogloss:1.35346
[8]	train-mlogloss:1.34843	validation-mlogloss:1.34933
[9]	train-mlogloss:1.34438	validation-mlogloss:1.34512
[10]	train-mlogloss:1.34035	validation-mlogloss:1.34117
[11]	train-mlogloss:1.33640	validation-mlogloss:1.33742
[12]	train-mlogloss:1.33250	validation-mlogloss:1.33332
[13]	train-mlogloss:1.32872	validation-mlogloss:1.32956
[14]	train-mlogloss:1.32485	validation-mlogloss:1.32562
[15]	train-mlogloss:1.32109	validation-mlogloss:1.32192
[16]	train-mlogloss:1.31732	validation-mlogloss:1.31806
[17]	train-mlogloss:1.31360	validation-mlogloss:1.31424
[18]	train-mlogloss:1.30996	validation-mlogloss:1.31065
[19]	train-mlogloss:1.30625	validation-mlogloss:1.30717
[20]	train-mlogloss:1.30264	validation-mlogloss:1.30352
[21]	train-mlogloss:1.29909	validation-mlogloss:1.29994
[22]	train-mlogloss:1.29562	validation-mlogloss:1.29637
[23]	train-mlogloss:1.29206	validation-mlogloss:1.29284
[24]	train-mlogloss:1.28845	validation-mlogloss:1.28922
[25]	train-mlogloss:1.28493	validation-mlogloss:1.28568
[26]	train-mlogloss:1.28149	validation-mlogloss:1.28209
[27]	train-mlogloss:1.27806	validation-mlogloss:1.27871
[28]	train-mlogloss:1.27466	validation-mlogloss:1.27511
[29]	train-mlogloss:1.27135	validation-mlogloss:1.27187
[30]	train-mlogloss:1.26815	validation-mlogloss:1.26876
[31]	train-mlogloss:1.26490	validation-mlogloss:1.26558
[32]	train-mlogloss:1.26162	validation-mlogloss:1.26225
[33]	train-mlogloss:1.25844	validation-mlogloss:1.25895
[34]	train-mlogloss:1.25521	validation-mlogloss:1.25582
[35]	train-mlogloss:1.25170	validation-mlogloss:1.25245
[36]	train-mlogloss:1.24853	validation-mlogloss:1.24942
[37]	train-mlogloss:1.24552	validation-mlogloss:1.24641
[38]	train-mlogloss:1.24239	validation-mlogloss:1.24326
[39]	train-mlogloss:1.23930	validation-mlogloss:1.24025
[40]	train-mlogloss:1.23630	validation-mlogloss:1.23723
[41]	train-mlogloss:1.23325	validation-mlogloss:1.23427
[42]	train-mlogloss:1.23024	validation-mlogloss:1.23119
[43]	train-mlogloss:1.22730	validation-mlogloss:1.22824
[44]	train-mlogloss:1.22432	validation-mlogloss:1.22531
[45]	train-mlogloss:1.22139	validation-mlogloss:1.22229
[46]	train-mlogloss:1.21850	validation-mlogloss:1.21935
[47]	train-mlogloss:1.21562	validation-mlogloss:1.21648
[48]	train-mlogloss:1.21272	validation-mlogloss:1.21349
[49]	train-mlogloss:1.20990	validation-mlogloss:1.21066
[50]	train-mlogloss:1.20707	validation-mlogloss:1.20786
[51]	train-mlogloss:1.20436	validation-mlogloss:1.20526
[52]	train-mlogloss:1.20156	validation-mlogloss:1.20223
[53]	train-mlogloss:1.19881	validation-mlogloss:1.19953
[54]	train-mlogloss:1.19609	validation-mlogloss:1.19661
[55]	train-mlogloss:1.19343	validation-mlogloss:1.19391
[56]	train-mlogloss:1.19056	validation-mlogloss:1.19116
[57]	train-mlogloss:1.18797	validation-mlogloss:1.18839
[58]	train-mlogloss:1.18540	validation-mlogloss:1.18577
[59]	train-mlogloss:1.18290	validation-mlogloss:1.18318
[60]	train-mlogloss:1.18014	validation-mlogloss:1.18060
[61]	train-mlogloss:1.17754	validation-mlogloss:1.17797
[62]	train-mlogloss:1.17492	validation-mlogloss:1.17529
[63]	train-mlogloss:1.17238	validation-mlogloss:1.17267
[64]	train-mlogloss:1.16984	validation-mlogloss:1.17004
[65]	train-mlogloss:1.16735	validation-mlogloss:1.16746
[66]	train-mlogloss:1.16494	validation-mlogloss:1.16489
[67]	train-mlogloss:1.16245	validation-mlogloss:1.16235
[68]	train-mlogloss:1.15997	validation-mlogloss:1.15969
[69]	train-mlogloss:1.15756	validation-mlogloss:1.15718
[70]	train-mlogloss:1.15520	validation-mlogloss:1.15480
[71]	train-mlogloss:1.15282	validation-mlogloss:1.15245
[72]	train-mlogloss:1.15053	validation-mlogloss:1.14999
[73]	train-mlogloss:1.14804	validation-mlogloss:1.14760
[74]	train-mlogloss:1.14572	validation-mlogloss:1.14527
[75]	train-mlogloss:1.14345	validation-mlogloss:1.14301
[76]	train-mlogloss:1.14124	validation-mlogloss:1.14081
[77]	train-mlogloss:1.13897	validation-mlogloss:1.13845
[78]	train-mlogloss:1.13657	validation-mlogloss:1.13604
[79]	train-mlogloss:1.13438	validation-mlogloss:1.13378
[80]	train-mlogloss:1.13214	validation-mlogloss:1.13150
[81]	train-mlogloss:1.12990	validation-mlogloss:1.12924
[82]	train-mlogloss:1.12778	validation-mlogloss:1.12702
[83]	train-mlogloss:1.12561	validation-mlogloss:1.12485
[84]	train-mlogloss:1.12351	validation-mlogloss:1.12279
[85]	train-mlogloss:1.12112	validation-mlogloss:1.12053
[86]	train-mlogloss:1.11884	validation-mlogloss:1.11832
[87]	train-mlogloss:1.11643	validation-mlogloss:1.11599
[88]	train-mlogloss:1.11434	validation-mlogloss:1.11389
[89]	train-mlogloss:1.11229	validation-mlogloss:1.11188
[90]	train-mlogloss:1.11029	validation-mlogloss:1.10987
[91]	train-mlogloss:1.10809	validation-mlogloss:1.10777
[92]	train-mlogloss:1.10587	validation-mlogloss:1.10556
[93]	train-mlogloss:1.10391	validation-mlogloss:1.10363
[94]	train-mlogloss:1.10194	validation-mlogloss:1.10145
[95]	train-mlogloss:1.10000	validation-mlogloss:1.09954
[96]	train-mlogloss:1.09802	validation-mlogloss:1.09758
[97]	train-mlogloss:1.09611	validation-mlogloss:1.09567
[98]	train-mlogloss:1.09394	validation-mlogloss:1.09353
[99]	train-mlogloss:1.09186	validation-mlogloss:1.09154
[100]	train-mlogloss:1.08972	validation-mlogloss:1.08943
[101]	train-mlogloss:1.08767	validation-mlogloss:1.08752
[102]	train-mlogloss:1.08579	validation-mlogloss:1.08565
[103]	train-mlogloss:1.08398	validation-mlogloss:1.08383
[104]	train-mlogloss:1.08198	validation-mlogloss:1.08186
[105]	train-mlogloss:1.07994	validation-mlogloss:1.07987
[106]	train-mlogloss:1.07789	validation-mlogloss:1.07787
[107]	train-mlogloss:1.07589	validation-mlogloss:1.07599
[108]	train-mlogloss:1.07403	validation-mlogloss:1.07422
[109]	train-mlogloss:1.07228	validation-mlogloss:1.07238
[110]	train-mlogloss:1.07032	validation-mlogloss:1.07050
[111]	train-mlogloss:1.06840	validation-mlogloss:1.06854
[112]	train-mlogloss:1.06675	validation-mlogloss:1.06683
[113]	train-mlogloss:1.06502	validation-mlogloss:1.06509
[114]	train-mlogloss:1.06331	validation-mlogloss:1.06340
[115]	train-mlogloss:1.06165	validation-mlogloss:1.06169
[116]	train-mlogloss:1.05982	validation-mlogloss:1.05981
[117]	train-mlogloss:1.05797	validation-mlogloss:1.05806
[118]	train-mlogloss:1.05615	validation-mlogloss:1.05635
[119]	train-mlogloss:1.05437	validation-mlogloss:1.05461
[120]	train-mlogloss:1.05271	validation-mlogloss:1.05288
[121]	train-mlogloss:1.05113	validation-mlogloss:1.05129
[122]	train-mlogloss:1.04948	validation-mlogloss:1.04960
[123]	train-mlogloss:1.04766	validation-mlogloss:1.04776
[124]	train-mlogloss:1.04586	validation-mlogloss:1.04602
[125]	train-mlogloss:1.04411	validation-mlogloss:1.04428
[126]	train-mlogloss:1.04250	validation-mlogloss:1.04264
[127]	train-mlogloss:1.04095	validation-mlogloss:1.04101
[128]	train-mlogloss:1.03919	validation-mlogloss:1.03920
[129]	train-mlogloss:1.03765	validation-mlogloss:1.03760
[130]	train-mlogloss:1.03612	validation-mlogloss:1.03608
[131]	train-mlogloss:1.03440	validation-mlogloss:1.03438
[132]	train-mlogloss:1.03287	validation-mlogloss:1.03282
[133]	train-mlogloss:1.03125	validation-mlogloss:1.03124
[134]	train-mlogloss:1.02959	validation-mlogloss:1.02957
[135]	train-mlogloss:1.02812	validation-mlogloss:1.02798
[136]	train-mlogloss:1.02667	validation-mlogloss:1.02647
[137]	train-mlogloss:1.02505	validation-mlogloss:1.02491
[138]	train-mlogloss:1.02345	validation-mlogloss:1.02337
[139]	train-mlogloss:1.02190	validation-mlogloss:1.02193
[140]	train-mlogloss:1.02047	validation-mlogloss:1.02043
[141]	train-mlogloss:1.01896	validation-mlogloss:1.01891
[142]	train-mlogloss:1.01754	validation-mlogloss:1.01743
[143]	train-mlogloss:1.01624	validation-mlogloss:1.01608
[144]	train-mlogloss:1.01470	validation-mlogloss:1.01468
[145]	train-mlogloss:1.01319	validation-mlogloss:1.01327
[146]	train-mlogloss:1.01181	validation-mlogloss:1.01179
[147]	train-mlogloss:1.01032	validation-mlogloss:1.01035
[148]	train-mlogloss:1.00898	validation-mlogloss:1.00900
[149]	train-mlogloss:1.00763	validation-mlogloss:1.00763
[150]	train-mlogloss:1.00617	validation-mlogloss:1.00625
[151]	train-mlogloss:1.00486	validation-mlogloss:1.00496
[152]	train-mlogloss:1.00330	validation-mlogloss:1.00342
[153]	train-mlogloss:1.00179	validation-mlogloss:1.00192
[154]	train-mlogloss:1.00031	validation-mlogloss:1.00047
[155]	train-mlogloss:0.99887	validation-mlogloss:0.99904
[156]	train-mlogloss:0.99741	validation-mlogloss:0.99746
[157]	train-mlogloss:0.99614	validation-mlogloss:0.99618
[158]	train-mlogloss:0.99475	validation-mlogloss:0.99474
[159]	train-mlogloss:0.99348	validation-mlogloss:0.99344
[160]	train-mlogloss:0.99220	validation-mlogloss:0.99214
[161]	train-mlogloss:0.99089	validation-mlogloss:0.99088
[162]	train-mlogloss:0.98967	validation-mlogloss:0.98976
[163]	train-mlogloss:0.98826	validation-mlogloss:0.98832
[164]	train-mlogloss:0.98684	validation-mlogloss:0.98680
[165]	train-mlogloss:0.98554	validation-mlogloss:0.98553
[166]	train-mlogloss:0.98420	validation-mlogloss:0.98416
[167]	train-mlogloss:0.98286	validation-mlogloss:0.98279
[168]	train-mlogloss:0.98147	validation-mlogloss:0.98136
[169]	train-mlogloss:0.98025	validation-mlogloss:0.98017
[170]	train-mlogloss:0.97888	validation-mlogloss:0.97866
[171]	train-mlogloss:0.97767	validation-mlogloss:0.97744
[172]	train-mlogloss:0.97642	validation-mlogloss:0.97614
[173]	train-mlogloss:0.97526	validation-mlogloss:0.97504
[174]	train-mlogloss:0.97408	validation-mlogloss:0.97384
[175]	train-mlogloss:0.97279	validation-mlogloss:0.97248
[176]	train-mlogloss:0.97166	validation-mlogloss:0.97130
[177]	train-mlogloss:0.97042	validation-mlogloss:0.97005
[178]	train-mlogloss:0.96931	validation-mlogloss:0.96898
[179]	train-mlogloss:0.96813	validation-mlogloss:0.96778
[180]	train-mlogloss:0.96690	validation-mlogloss:0.96648
[181]	train-mlogloss:0.96567	validation-mlogloss:0.96522
[182]	train-mlogloss:0.96461	validation-mlogloss:0.96413
[183]	train-mlogloss:0.96353	validation-mlogloss:0.96305
[184]	train-mlogloss:0.96248	validation-mlogloss:0.96197
[185]	train-mlogloss:0.96130	validation-mlogloss:0.96078
[186]	train-mlogloss:0.96017	validation-mlogloss:0.95971
[187]	train-mlogloss:0.95908	validation-mlogloss:0.95856
[188]	train-mlogloss:0.95807	validation-mlogloss:0.95747
[189]	train-mlogloss:0.95703	validation-mlogloss:0.95640
[190]	train-mlogloss:0.95598	validation-mlogloss:0.95540
[191]	train-mlogloss:0.95498	validation-mlogloss:0.95448
[192]	train-mlogloss:0.95386	validation-mlogloss:0.95333
[193]	train-mlogloss:0.95273	validation-mlogloss:0.95216
[194]	train-mlogloss:0.95151	validation-mlogloss:0.95086
[195]	train-mlogloss:0.95035	validation-mlogloss:0.94964
[196]	train-mlogloss:0.94931	validation-mlogloss:0.94866
[197]	train-mlogloss:0.94822	validation-mlogloss:0.94749
[198]	train-mlogloss:0.94724	validation-mlogloss:0.94653
[199]	train-mlogloss:0.94620	validation-mlogloss:0.94551
[200]	train-mlogloss:0.94516	validation-mlogloss:0.94448
[201]	train-mlogloss:0.94416	validation-mlogloss:0.94354
[202]	train-mlogloss:0.94327	validation-mlogloss:0.94259
[203]	train-mlogloss:0.94226	validation-mlogloss:0.94157
[204]	train-mlogloss:0.94112	validation-mlogloss:0.94041
[205]	train-mlogloss:0.93999	validation-mlogloss:0.93928
[206]	train-mlogloss:0.93894	validation-mlogloss:0.93818
[207]	train-mlogloss:0.93798	validation-mlogloss:0.93716
[208]	train-mlogloss:0.93690	validation-mlogloss:0.93615
[209]	train-mlogloss:0.93586	validation-mlogloss:0.93512
[210]	train-mlogloss:0.93493	validation-mlogloss:0.93416
[211]	train-mlogloss:0.93391	validation-mlogloss:0.93305
[212]	train-mlogloss:0.93292	validation-mlogloss:0.93211
[213]	train-mlogloss:0.93204	validation-mlogloss:0.93126
[214]	train-mlogloss:0.93104	validation-mlogloss:0.93025
[215]	train-mlogloss:0.93005	validation-mlogloss:0.92921
[216]	train-mlogloss:0.92901	validation-mlogloss:0.92813
[217]	train-mlogloss:0.92811	validation-mlogloss:0.92716
[218]	train-mlogloss:0.92726	validation-mlogloss:0.92625
[219]	train-mlogloss:0.92625	validation-mlogloss:0.92520
[220]	train-mlogloss:0.92537	validation-mlogloss:0.92424
[221]	train-mlogloss:0.92443	validation-mlogloss:0.92336
[222]	train-mlogloss:0.92361	validation-mlogloss:0.92258
[223]	train-mlogloss:0.92271	validation-mlogloss:0.92164
[224]	train-mlogloss:0.92170	validation-mlogloss:0.92056
[225]	train-mlogloss:0.92091	validation-mlogloss:0.91976
[226]	train-mlogloss:0.91994	validation-mlogloss:0.91873
[227]	train-mlogloss:0.91915	validation-mlogloss:0.91786
[228]	train-mlogloss:0.91826	validation-mlogloss:0.91693
[229]	train-mlogloss:0.91739	validation-mlogloss:0.91612
[230]	train-mlogloss:0.91641	validation-mlogloss:0.91510
[231]	train-mlogloss:0.91550	validation-mlogloss:0.91421
[232]	train-mlogloss:0.91470	validation-mlogloss:0.91342
[233]	train-mlogloss:0.91377	validation-mlogloss:0.91242
[234]	train-mlogloss:0.91283	validation-mlogloss:0.91151
[235]	train-mlogloss:0.91202	validation-mlogloss:0.91068
[236]	train-mlogloss:0.91110	validation-mlogloss:0.90976
[237]	train-mlogloss:0.91033	validation-mlogloss:0.90893
[238]	train-mlogloss:0.90940	validation-mlogloss:0.90793
[239]	train-mlogloss:0.90855	validation-mlogloss:0.90717
[240]	train-mlogloss:0.90760	validation-mlogloss:0.90623
[241]	train-mlogloss:0.90668	validation-mlogloss:0.90534
[242]	train-mlogloss:0.90573	validation-mlogloss:0.90440
[243]	train-mlogloss:0.90494	validation-mlogloss:0.90356
[244]	train-mlogloss:0.90423	validation-mlogloss:0.90284
[245]	train-mlogloss:0.90332	validation-mlogloss:0.90195
[246]	train-mlogloss:0.90258	validation-mlogloss:0.90119
[247]	train-mlogloss:0.90166	validation-mlogloss:0.90027
[248]	train-mlogloss:0.90080	validation-mlogloss:0.89948
[249]	train-mlogloss:0.90000	validation-mlogloss:0.89869
[250]	train-mlogloss:0.89911	validation-mlogloss:0.89773
[251]	train-mlogloss:0.89839	validation-mlogloss:0.89701
[252]	train-mlogloss:0.89768	validation-mlogloss:0.89627
[253]	train-mlogloss:0.89679	validation-mlogloss:0.89532
[254]	train-mlogloss:0.89597	validation-mlogloss:0.89451
[255]	train-mlogloss:0.89511	validation-mlogloss:0.89363
[256]	train-mlogloss:0.89425	validation-mlogloss:0.89281
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[326]	train-mlogloss:0.84713	validation-mlogloss:0.84590
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[332]	train-mlogloss:0.84369	validation-mlogloss:0.84253
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[338]	train-mlogloss:0.84045	validation-mlogloss:0.83936
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[345]	train-mlogloss:0.83662	validation-mlogloss:0.83570
[346]	train-mlogloss:0.83609	validation-mlogloss:0.83516
[347]	train-mlogloss:0.83553	validation-mlogloss:0.83460
[348]	train-mlogloss:0.83503	validation-mlogloss:0.83412
[349]	train-mlogloss:0.83451	validation-mlogloss:0.83359
[350]	train-mlogloss:0.83407	validation-mlogloss:0.83318
[351]	train-mlogloss:0.83353	validation-mlogloss:0.83269
[352]	train-mlogloss:0.83298	validation-mlogloss:0.83221
[353]	train-mlogloss:0.83253	validation-mlogloss:0.83182
[354]	train-mlogloss:0.83198	validation-mlogloss:0.83131
[355]	train-mlogloss:0.83145	validation-mlogloss:0.83080
[356]	train-mlogloss:0.83095	validation-mlogloss:0.83032
[357]	train-mlogloss:0.83040	validation-mlogloss:0.82979
[358]	train-mlogloss:0.82994	validation-mlogloss:0.82937
[359]	train-mlogloss:0.82946	validation-mlogloss:0.82891
[360]	train-mlogloss:0.82897	validation-mlogloss:0.82841
[361]	train-mlogloss:0.82857	validation-mlogloss:0.82808
[362]	train-mlogloss:0.82806	validation-mlogloss:0.82757
[363]	train-mlogloss:0.82752	validation-mlogloss:0.82709
[364]	train-mlogloss:0.82704	validation-mlogloss:0.82664
[365]	train-mlogloss:0.82653	validation-mlogloss:0.82609
[366]	train-mlogloss:0.82601	validation-mlogloss:0.82552
[367]	train-mlogloss:0.82554	validation-mlogloss:0.82507
[368]	train-mlogloss:0.82509	validation-mlogloss:0.82463
[369]	train-mlogloss:0.82459	validation-mlogloss:0.82416
[370]	train-mlogloss:0.82417	validation-mlogloss:0.82377
[371]	train-mlogloss:0.82362	validation-mlogloss:0.82326
[372]	train-mlogloss:0.82311	validation-mlogloss:0.82274
[373]	train-mlogloss:0.82269	validation-mlogloss:0.82233
[374]	train-mlogloss:0.82219	validation-mlogloss:0.82181
[375]	train-mlogloss:0.82169	validation-mlogloss:0.82139
[376]	train-mlogloss:0.82121	validation-mlogloss:0.82096
[377]	train-mlogloss:0.82079	validation-mlogloss:0.82052
[378]	train-mlogloss:0.82033	validation-mlogloss:0.82011
[379]	train-mlogloss:0.81989	validation-mlogloss:0.81964
[380]	train-mlogloss:0.81937	validation-mlogloss:0.81909
[381]	train-mlogloss:0.81887	validation-mlogloss:0.81864
[382]	train-mlogloss:0.81844	validation-mlogloss:0.81828
[383]	train-mlogloss:0.81795	validation-mlogloss:0.81776
[384]	train-mlogloss:0.81755	validation-mlogloss:0.81740
[385]	train-mlogloss:0.81715	validation-mlogloss:0.81707
[386]	train-mlogloss:0.81666	validation-mlogloss:0.81664
[387]	train-mlogloss:0.81620	validation-mlogloss:0.81628
[388]	train-mlogloss:0.81576	validation-mlogloss:0.81580
[389]	train-mlogloss:0.81532	validation-mlogloss:0.81542
[390]	train-mlogloss:0.81491	validation-mlogloss:0.81505
[391]	train-mlogloss:0.81440	validation-mlogloss:0.81460
[392]	train-mlogloss:0.81393	validation-mlogloss:0.81415
[393]	train-mlogloss:0.81345	validation-mlogloss:0.81373
[394]	train-mlogloss:0.81306	validation-mlogloss:0.81339
[395]	train-mlogloss:0.81261	validation-mlogloss:0.81292
[396]	train-mlogloss:0.81212	validation-mlogloss:0.81247
[397]	train-mlogloss:0.81168	validation-mlogloss:0.81199
[398]	train-mlogloss:0.81124	validation-mlogloss:0.81159
[399]	train-mlogloss:0.81084	validation-mlogloss:0.81118
[400]	train-mlogloss:0.81051	validation-mlogloss:0.81083
[401]	train-mlogloss:0.81000	validation-mlogloss:0.81033
[402]	train-mlogloss:0.80958	validation-mlogloss:0.80993
[403]	train-mlogloss:0.80916	validation-mlogloss:0.80953
[404]	train-mlogloss:0.80873	validation-mlogloss:0.80915
[405]	train-mlogloss:0.80827	validation-mlogloss:0.80876
[406]	train-mlogloss:0.80783	validation-mlogloss:0.80829
[407]	train-mlogloss:0.80742	validation-mlogloss:0.80795
[408]	train-mlogloss:0.80702	validation-mlogloss:0.80759
[409]	train-mlogloss:0.80665	validation-mlogloss:0.80725
[410]	train-mlogloss:0.80620	validation-mlogloss:0.80675
[411]	train-mlogloss:0.80576	validation-mlogloss:0.80635
[412]	train-mlogloss:0.80531	validation-mlogloss:0.80579
[413]	train-mlogloss:0.80487	validation-mlogloss:0.80531
[414]	train-mlogloss:0.80450	validation-mlogloss:0.80495
[415]	train-mlogloss:0.80409	validation-mlogloss:0.80464
[416]	train-mlogloss:0.80366	validation-mlogloss:0.80425
[417]	train-mlogloss:0.80327	validation-mlogloss:0.80389
[418]	train-mlogloss:0.80291	validation-mlogloss:0.80353
[419]	train-mlogloss:0.80254	validation-mlogloss:0.80320
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 0]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.15 [%]
Global accuracy score (test) = 70.1 [%]
Global F1 score (train) = 68.7 [%]
Global F1 score (test) = 70.02 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.63      0.41      0.50       400
MODERATE-INTENSITY       0.54      0.82      0.66       400
         SEDENTARY       0.84      0.86      0.85       400
VIGOROUS-INTENSITY       0.91      0.71      0.80       345

          accuracy                           0.70      1545
         macro avg       0.73      0.70      0.70      1545
      weighted avg       0.72      0.70      0.70      1545


Accuracy capturado en la ejecución 24: 70.1 [%]
F1-score capturado en la ejecución 24: 70.02 [%]

=== EJECUCIÓN 25 ===

--- TRAIN (ejecución 25) ---

--- TEST (ejecución 25) ---
2025-11-07 10:42:35.182541: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:42:35.193576: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508555.206934 2405057 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508555.210894 2405057 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508555.220784 2405057 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508555.220802 2405057 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508555.220804 2405057 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508555.220805 2405057 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:42:35.223862: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38178	validation-mlogloss:1.38173
[1]	train-mlogloss:1.37751	validation-mlogloss:1.37756
[2]	train-mlogloss:1.37337	validation-mlogloss:1.37358
[3]	train-mlogloss:1.36910	validation-mlogloss:1.36949
[4]	train-mlogloss:1.36460	validation-mlogloss:1.36515
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[305]	train-mlogloss:0.85832	validation-mlogloss:0.85516
[306]	train-mlogloss:0.85764	validation-mlogloss:0.85447
[307]	train-mlogloss:0.85709	validation-mlogloss:0.85392
[308]	train-mlogloss:0.85642	validation-mlogloss:0.85316
[309]	train-mlogloss:0.85577	validation-mlogloss:0.85250
[310]	train-mlogloss:0.85515	validation-mlogloss:0.85186
[311]	train-mlogloss:0.85455	validation-mlogloss:0.85122
[312]	train-mlogloss:0.85386	validation-mlogloss:0.85046
[313]	train-mlogloss:0.85320	validation-mlogloss:0.84987
[314]	train-mlogloss:0.85259	validation-mlogloss:0.84928
[315]	train-mlogloss:0.85202	validation-mlogloss:0.84871
[316]	train-mlogloss:0.85142	validation-mlogloss:0.84804
[317]	train-mlogloss:0.85087	validation-mlogloss:0.84747
[318]	train-mlogloss:0.85028	validation-mlogloss:0.84694
[319]	train-mlogloss:0.84973	validation-mlogloss:0.84632
[320]	train-mlogloss:0.84911	validation-mlogloss:0.84578
[321]	train-mlogloss:0.84846	validation-mlogloss:0.84515
[322]	train-mlogloss:0.84789	validation-mlogloss:0.84452
[323]	train-mlogloss:0.84735	validation-mlogloss:0.84402
[324]	train-mlogloss:0.84679	validation-mlogloss:0.84346
[325]	train-mlogloss:0.84627	validation-mlogloss:0.84297
[326]	train-mlogloss:0.84567	validation-mlogloss:0.84240
[327]	train-mlogloss:0.84500	validation-mlogloss:0.84172
[328]	train-mlogloss:0.84439	validation-mlogloss:0.84118
[329]	train-mlogloss:0.84382	validation-mlogloss:0.84061
[330]	train-mlogloss:0.84324	validation-mlogloss:0.84002
[331]	train-mlogloss:0.84269	validation-mlogloss:0.83947
[332]	train-mlogloss:0.84213	validation-mlogloss:0.83898
[333]	train-mlogloss:0.84154	validation-mlogloss:0.83842
[334]	train-mlogloss:0.84087	validation-mlogloss:0.83778
[335]	train-mlogloss:0.84035	validation-mlogloss:0.83723
[336]	train-mlogloss:0.83982	validation-mlogloss:0.83669
[337]	train-mlogloss:0.83924	validation-mlogloss:0.83615
[338]	train-mlogloss:0.83871	validation-mlogloss:0.83569
[339]	train-mlogloss:0.83825	validation-mlogloss:0.83524
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[342]	train-mlogloss:0.83665	validation-mlogloss:0.83370
[343]	train-mlogloss:0.83621	validation-mlogloss:0.83326
[344]	train-mlogloss:0.83568	validation-mlogloss:0.83280
[345]	train-mlogloss:0.83523	validation-mlogloss:0.83238
[346]	train-mlogloss:0.83467	validation-mlogloss:0.83183
[347]	train-mlogloss:0.83412	validation-mlogloss:0.83129
[348]	train-mlogloss:0.83359	validation-mlogloss:0.83075
[349]	train-mlogloss:0.83318	validation-mlogloss:0.83036
[350]	train-mlogloss:0.83268	validation-mlogloss:0.82987
[351]	train-mlogloss:0.83215	validation-mlogloss:0.82935
[352]	train-mlogloss:0.83165	validation-mlogloss:0.82886
[353]	train-mlogloss:0.83116	validation-mlogloss:0.82846
[354]	train-mlogloss:0.83075	validation-mlogloss:0.82802
[355]	train-mlogloss:0.83027	validation-mlogloss:0.82756
[356]	train-mlogloss:0.82983	validation-mlogloss:0.82720
[357]	train-mlogloss:0.82931	validation-mlogloss:0.82668
[358]	train-mlogloss:0.82876	validation-mlogloss:0.82620
[359]	train-mlogloss:0.82818	validation-mlogloss:0.82561
[360]	train-mlogloss:0.82767	validation-mlogloss:0.82517
[361]	train-mlogloss:0.82719	validation-mlogloss:0.82465
[362]	train-mlogloss:0.82671	validation-mlogloss:0.82423
[363]	train-mlogloss:0.82621	validation-mlogloss:0.82377
[364]	train-mlogloss:0.82576	validation-mlogloss:0.82333
[365]	train-mlogloss:0.82535	validation-mlogloss:0.82294
[366]	train-mlogloss:0.82477	validation-mlogloss:0.82238
[367]	train-mlogloss:0.82424	validation-mlogloss:0.82189
[368]	train-mlogloss:0.82382	validation-mlogloss:0.82149
[369]	train-mlogloss:0.82340	validation-mlogloss:0.82110
[370]	train-mlogloss:0.82295	validation-mlogloss:0.82070
[371]	train-mlogloss:0.82254	validation-mlogloss:0.82029
[372]	train-mlogloss:0.82207	validation-mlogloss:0.81980
[373]	train-mlogloss:0.82167	validation-mlogloss:0.81933
[374]	train-mlogloss:0.82118	validation-mlogloss:0.81888
[375]	train-mlogloss:0.82080	validation-mlogloss:0.81854
[376]	train-mlogloss:0.82037	validation-mlogloss:0.81816
[377]	train-mlogloss:0.81998	validation-mlogloss:0.81784
[378]	train-mlogloss:0.81950	validation-mlogloss:0.81732
[379]	train-mlogloss:0.81900	validation-mlogloss:0.81673
[380]	train-mlogloss:0.81861	validation-mlogloss:0.81633
[381]	train-mlogloss:0.81813	validation-mlogloss:0.81586
[382]	train-mlogloss:0.81767	validation-mlogloss:0.81539
[383]	train-mlogloss:0.81719	validation-mlogloss:0.81496
[384]	train-mlogloss:0.81670	validation-mlogloss:0.81450
[385]	train-mlogloss:0.81630	validation-mlogloss:0.81405
[386]	train-mlogloss:0.81585	validation-mlogloss:0.81361
[387]	train-mlogloss:0.81544	validation-mlogloss:0.81322
[388]	train-mlogloss:0.81504	validation-mlogloss:0.81285
[389]	train-mlogloss:0.81460	validation-mlogloss:0.81236
[390]	train-mlogloss:0.81419	validation-mlogloss:0.81194
[391]	train-mlogloss:0.81374	validation-mlogloss:0.81152
[392]	train-mlogloss:0.81328	validation-mlogloss:0.81107
[393]	train-mlogloss:0.81283	validation-mlogloss:0.81062
[394]	train-mlogloss:0.81242	validation-mlogloss:0.81019
[395]	train-mlogloss:0.81198	validation-mlogloss:0.80977
[396]	train-mlogloss:0.81157	validation-mlogloss:0.80938
[397]	train-mlogloss:0.81110	validation-mlogloss:0.80893
[398]	train-mlogloss:0.81074	validation-mlogloss:0.80855
[399]	train-mlogloss:0.81027	validation-mlogloss:0.80811
[400]	train-mlogloss:0.80980	validation-mlogloss:0.80769
[401]	train-mlogloss:0.80939	validation-mlogloss:0.80724
[402]	train-mlogloss:0.80893	validation-mlogloss:0.80678
[403]	train-mlogloss:0.80856	validation-mlogloss:0.80640
[404]	train-mlogloss:0.80815	validation-mlogloss:0.80607
[405]	train-mlogloss:0.80775	validation-mlogloss:0.80575
[406]	train-mlogloss:0.80737	validation-mlogloss:0.80547
[407]	train-mlogloss:0.80695	validation-mlogloss:0.80508
[408]	train-mlogloss:0.80655	validation-mlogloss:0.80465
[409]	train-mlogloss:0.80620	validation-mlogloss:0.80437
[410]	train-mlogloss:0.80584	validation-mlogloss:0.80400
[411]	train-mlogloss:0.80544	validation-mlogloss:0.80365
[412]	train-mlogloss:0.80507	validation-mlogloss:0.80334
[413]	train-mlogloss:0.80473	validation-mlogloss:0.80309
[414]	train-mlogloss:0.80433	validation-mlogloss:0.80270
[415]	train-mlogloss:0.80390	validation-mlogloss:0.80236
[416]	train-mlogloss:0.80346	validation-mlogloss:0.80190
[417]	train-mlogloss:0.80301	validation-mlogloss:0.80143
[418]	train-mlogloss:0.80264	validation-mlogloss:0.80107
[419]	train-mlogloss:0.80229	validation-mlogloss:0.80078
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.21 [%]
Global accuracy score (test) = 69.19 [%]
Global F1 score (train) = 68.76 [%]
Global F1 score (test) = 69.11 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.39      0.48       400
MODERATE-INTENSITY       0.53      0.81      0.64       400
         SEDENTARY       0.82      0.85      0.84       400
VIGOROUS-INTENSITY       0.92      0.71      0.80       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.72      0.69      0.69      1545


Accuracy capturado en la ejecución 25: 69.19 [%]
F1-score capturado en la ejecución 25: 69.11 [%]

=== EJECUCIÓN 26 ===

--- TRAIN (ejecución 26) ---

--- TEST (ejecución 26) ---
2025-11-07 10:42:46.929027: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:42:46.940576: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508566.953615 2405336 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508566.957763 2405336 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508566.967566 2405336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508566.967586 2405336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508566.967588 2405336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508566.967589 2405336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:42:46.970701: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38193	validation-mlogloss:1.38196
[1]	train-mlogloss:1.37749	validation-mlogloss:1.37762
[2]	train-mlogloss:1.37263	validation-mlogloss:1.37310
[3]	train-mlogloss:1.36822	validation-mlogloss:1.36862
[4]	train-mlogloss:1.36392	validation-mlogloss:1.36445
[5]	train-mlogloss:1.35982	validation-mlogloss:1.36028
[6]	train-mlogloss:1.35567	validation-mlogloss:1.35622
[7]	train-mlogloss:1.35160	validation-mlogloss:1.35227
[8]	train-mlogloss:1.34754	validation-mlogloss:1.34832
[9]	train-mlogloss:1.34336	validation-mlogloss:1.34426
[10]	train-mlogloss:1.33938	validation-mlogloss:1.34032
[11]	train-mlogloss:1.33531	validation-mlogloss:1.33628
[12]	train-mlogloss:1.33114	validation-mlogloss:1.33234
[13]	train-mlogloss:1.32699	validation-mlogloss:1.32853
[14]	train-mlogloss:1.32310	validation-mlogloss:1.32469
[15]	train-mlogloss:1.31897	validation-mlogloss:1.32077
[16]	train-mlogloss:1.31539	validation-mlogloss:1.31729
[17]	train-mlogloss:1.31171	validation-mlogloss:1.31368
[18]	train-mlogloss:1.30794	validation-mlogloss:1.30988
[19]	train-mlogloss:1.30421	validation-mlogloss:1.30619
[20]	train-mlogloss:1.30058	validation-mlogloss:1.30256
[21]	train-mlogloss:1.29698	validation-mlogloss:1.29917
[22]	train-mlogloss:1.29339	validation-mlogloss:1.29569
[23]	train-mlogloss:1.28981	validation-mlogloss:1.29215
[24]	train-mlogloss:1.28619	validation-mlogloss:1.28855
[25]	train-mlogloss:1.28271	validation-mlogloss:1.28523
[26]	train-mlogloss:1.27920	validation-mlogloss:1.28184
[27]	train-mlogloss:1.27569	validation-mlogloss:1.27845
[28]	train-mlogloss:1.27230	validation-mlogloss:1.27514
[29]	train-mlogloss:1.26898	validation-mlogloss:1.27173
[30]	train-mlogloss:1.26567	validation-mlogloss:1.26854
[31]	train-mlogloss:1.26237	validation-mlogloss:1.26515
[32]	train-mlogloss:1.25911	validation-mlogloss:1.26189
[33]	train-mlogloss:1.25578	validation-mlogloss:1.25857
[34]	train-mlogloss:1.25253	validation-mlogloss:1.25535
[35]	train-mlogloss:1.24930	validation-mlogloss:1.25213
[36]	train-mlogloss:1.24617	validation-mlogloss:1.24890
[37]	train-mlogloss:1.24304	validation-mlogloss:1.24589
[38]	train-mlogloss:1.24010	validation-mlogloss:1.24295
[39]	train-mlogloss:1.23707	validation-mlogloss:1.24001
[40]	train-mlogloss:1.23404	validation-mlogloss:1.23699
[41]	train-mlogloss:1.23104	validation-mlogloss:1.23400
[42]	train-mlogloss:1.22801	validation-mlogloss:1.23096
[43]	train-mlogloss:1.22504	validation-mlogloss:1.22799
[44]	train-mlogloss:1.22210	validation-mlogloss:1.22515
[45]	train-mlogloss:1.21909	validation-mlogloss:1.22213
[46]	train-mlogloss:1.21618	validation-mlogloss:1.21936
[47]	train-mlogloss:1.21329	validation-mlogloss:1.21658
[48]	train-mlogloss:1.21029	validation-mlogloss:1.21371
[49]	train-mlogloss:1.20736	validation-mlogloss:1.21079
[50]	train-mlogloss:1.20455	validation-mlogloss:1.20804
[51]	train-mlogloss:1.20183	validation-mlogloss:1.20538
[52]	train-mlogloss:1.19909	validation-mlogloss:1.20272
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[352]	train-mlogloss:0.83045	validation-mlogloss:0.84105
[353]	train-mlogloss:0.82988	validation-mlogloss:0.84051
[354]	train-mlogloss:0.82947	validation-mlogloss:0.84008
[355]	train-mlogloss:0.82895	validation-mlogloss:0.83958
[356]	train-mlogloss:0.82849	validation-mlogloss:0.83912
[357]	train-mlogloss:0.82792	validation-mlogloss:0.83858
[358]	train-mlogloss:0.82741	validation-mlogloss:0.83803
[359]	train-mlogloss:0.82691	validation-mlogloss:0.83747
[360]	train-mlogloss:0.82645	validation-mlogloss:0.83703
[361]	train-mlogloss:0.82598	validation-mlogloss:0.83655
[362]	train-mlogloss:0.82549	validation-mlogloss:0.83605
[363]	train-mlogloss:0.82507	validation-mlogloss:0.83563
[364]	train-mlogloss:0.82459	validation-mlogloss:0.83519
[365]	train-mlogloss:0.82412	validation-mlogloss:0.83468
[366]	train-mlogloss:0.82360	validation-mlogloss:0.83414
[367]	train-mlogloss:0.82313	validation-mlogloss:0.83370
[368]	train-mlogloss:0.82266	validation-mlogloss:0.83318
[369]	train-mlogloss:0.82214	validation-mlogloss:0.83270
[370]	train-mlogloss:0.82166	validation-mlogloss:0.83225
[371]	train-mlogloss:0.82118	validation-mlogloss:0.83177
[372]	train-mlogloss:0.82075	validation-mlogloss:0.83138
[373]	train-mlogloss:0.82029	validation-mlogloss:0.83097
[374]	train-mlogloss:0.81986	validation-mlogloss:0.83055
[375]	train-mlogloss:0.81942	validation-mlogloss:0.83017
[376]	train-mlogloss:0.81897	validation-mlogloss:0.82981
[377]	train-mlogloss:0.81854	validation-mlogloss:0.82946
[378]	train-mlogloss:0.81807	validation-mlogloss:0.82897
[379]	train-mlogloss:0.81766	validation-mlogloss:0.82851
[380]	train-mlogloss:0.81720	validation-mlogloss:0.82806
[381]	train-mlogloss:0.81672	validation-mlogloss:0.82765
[382]	train-mlogloss:0.81627	validation-mlogloss:0.82729
[383]	train-mlogloss:0.81590	validation-mlogloss:0.82691
[384]	train-mlogloss:0.81548	validation-mlogloss:0.82648
[385]	train-mlogloss:0.81507	validation-mlogloss:0.82609
[386]	train-mlogloss:0.81458	validation-mlogloss:0.82562
[387]	train-mlogloss:0.81415	validation-mlogloss:0.82528
[388]	train-mlogloss:0.81367	validation-mlogloss:0.82487
[389]	train-mlogloss:0.81327	validation-mlogloss:0.82456
[390]	train-mlogloss:0.81276	validation-mlogloss:0.82408
[391]	train-mlogloss:0.81230	validation-mlogloss:0.82359
[392]	train-mlogloss:0.81184	validation-mlogloss:0.82315
[393]	train-mlogloss:0.81143	validation-mlogloss:0.82276
[394]	train-mlogloss:0.81101	validation-mlogloss:0.82235
[395]	train-mlogloss:0.81062	validation-mlogloss:0.82200
[396]	train-mlogloss:0.81026	validation-mlogloss:0.82166
[397]	train-mlogloss:0.80984	validation-mlogloss:0.82115
[398]	train-mlogloss:0.80938	validation-mlogloss:0.82067
[399]	train-mlogloss:0.80897	validation-mlogloss:0.82028
[400]	train-mlogloss:0.80858	validation-mlogloss:0.81991
[401]	train-mlogloss:0.80816	validation-mlogloss:0.81954
[402]	train-mlogloss:0.80778	validation-mlogloss:0.81918
[403]	train-mlogloss:0.80743	validation-mlogloss:0.81884
[404]	train-mlogloss:0.80703	validation-mlogloss:0.81849
[405]	train-mlogloss:0.80668	validation-mlogloss:0.81812
[406]	train-mlogloss:0.80636	validation-mlogloss:0.81780
[407]	train-mlogloss:0.80595	validation-mlogloss:0.81746
[408]	train-mlogloss:0.80549	validation-mlogloss:0.81701
[409]	train-mlogloss:0.80509	validation-mlogloss:0.81666
[410]	train-mlogloss:0.80467	validation-mlogloss:0.81630
[411]	train-mlogloss:0.80430	validation-mlogloss:0.81596
[412]	train-mlogloss:0.80393	validation-mlogloss:0.81556
[413]	train-mlogloss:0.80354	validation-mlogloss:0.81519
[414]	train-mlogloss:0.80318	validation-mlogloss:0.81487
[415]	train-mlogloss:0.80279	validation-mlogloss:0.81456
[416]	train-mlogloss:0.80236	validation-mlogloss:0.81414
[417]	train-mlogloss:0.80195	validation-mlogloss:0.81374
[418]	train-mlogloss:0.80162	validation-mlogloss:0.81337
[419]	train-mlogloss:0.80122	validation-mlogloss:0.81296
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.05 [%]
Global accuracy score (test) = 67.57 [%]
Global F1 score (train) = 68.42 [%]
Global F1 score (test) = 67.21 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.56      0.34      0.42       400
MODERATE-INTENSITY       0.52      0.81      0.63       400
         SEDENTARY       0.83      0.85      0.84       400
VIGOROUS-INTENSITY       0.89      0.72      0.80       345

          accuracy                           0.68      1545
         macro avg       0.70      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 26: 67.57 [%]
F1-score capturado en la ejecución 26: 67.21 [%]

=== EJECUCIÓN 27 ===

--- TRAIN (ejecución 27) ---

--- TEST (ejecución 27) ---
2025-11-07 10:42:58.695580: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:42:58.706713: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508578.719677 2405584 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508578.723721 2405584 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508578.733496 2405584 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508578.733516 2405584 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508578.733518 2405584 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508578.733520 2405584 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:42:58.736557: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38191	validation-mlogloss:1.38201
[1]	train-mlogloss:1.37759	validation-mlogloss:1.37770
[2]	train-mlogloss:1.37313	validation-mlogloss:1.37318
[3]	train-mlogloss:1.36871	validation-mlogloss:1.36872
[4]	train-mlogloss:1.36455	validation-mlogloss:1.36465
[5]	train-mlogloss:1.36023	validation-mlogloss:1.36044
[6]	train-mlogloss:1.35604	validation-mlogloss:1.35617
[7]	train-mlogloss:1.35187	validation-mlogloss:1.35200
[8]	train-mlogloss:1.34770	validation-mlogloss:1.34791
[9]	train-mlogloss:1.34361	validation-mlogloss:1.34376
[10]	train-mlogloss:1.33933	validation-mlogloss:1.33956
[11]	train-mlogloss:1.33551	validation-mlogloss:1.33570
[12]	train-mlogloss:1.33158	validation-mlogloss:1.33183
[13]	train-mlogloss:1.32767	validation-mlogloss:1.32809
[14]	train-mlogloss:1.32376	validation-mlogloss:1.32408
[15]	train-mlogloss:1.31999	validation-mlogloss:1.32041
[16]	train-mlogloss:1.31614	validation-mlogloss:1.31655
[17]	train-mlogloss:1.31234	validation-mlogloss:1.31280
[18]	train-mlogloss:1.30859	validation-mlogloss:1.30897
[19]	train-mlogloss:1.30497	validation-mlogloss:1.30534
[20]	train-mlogloss:1.30132	validation-mlogloss:1.30170
[21]	train-mlogloss:1.29774	validation-mlogloss:1.29838
[22]	train-mlogloss:1.29414	validation-mlogloss:1.29475
[23]	train-mlogloss:1.29056	validation-mlogloss:1.29106
[24]	train-mlogloss:1.28702	validation-mlogloss:1.28744
[25]	train-mlogloss:1.28355	validation-mlogloss:1.28390
[26]	train-mlogloss:1.27977	validation-mlogloss:1.28041
[27]	train-mlogloss:1.27635	validation-mlogloss:1.27687
[28]	train-mlogloss:1.27292	validation-mlogloss:1.27347
[29]	train-mlogloss:1.26966	validation-mlogloss:1.27026
[30]	train-mlogloss:1.26640	validation-mlogloss:1.26694
[31]	train-mlogloss:1.26310	validation-mlogloss:1.26360
[32]	train-mlogloss:1.25980	validation-mlogloss:1.26036
[33]	train-mlogloss:1.25665	validation-mlogloss:1.25737
[34]	train-mlogloss:1.25352	validation-mlogloss:1.25416
[35]	train-mlogloss:1.25046	validation-mlogloss:1.25125
[36]	train-mlogloss:1.24728	validation-mlogloss:1.24818
[37]	train-mlogloss:1.24418	validation-mlogloss:1.24496
[38]	train-mlogloss:1.24108	validation-mlogloss:1.24177
[39]	train-mlogloss:1.23798	validation-mlogloss:1.23881
[40]	train-mlogloss:1.23491	validation-mlogloss:1.23573
[41]	train-mlogloss:1.23193	validation-mlogloss:1.23292
[42]	train-mlogloss:1.22899	validation-mlogloss:1.22993
[43]	train-mlogloss:1.22596	validation-mlogloss:1.22695
[44]	train-mlogloss:1.22316	validation-mlogloss:1.22425
[45]	train-mlogloss:1.22024	validation-mlogloss:1.22123
[46]	train-mlogloss:1.21738	validation-mlogloss:1.21832
[47]	train-mlogloss:1.21452	validation-mlogloss:1.21557
[48]	train-mlogloss:1.21172	validation-mlogloss:1.21278
[49]	train-mlogloss:1.20894	validation-mlogloss:1.21001
[50]	train-mlogloss:1.20615	validation-mlogloss:1.20714
[51]	train-mlogloss:1.20345	validation-mlogloss:1.20462
[52]	train-mlogloss:1.20052	validation-mlogloss:1.20171
[53]	train-mlogloss:1.19779	validation-mlogloss:1.19897
[54]	train-mlogloss:1.19514	validation-mlogloss:1.19641
[55]	train-mlogloss:1.19237	validation-mlogloss:1.19372
[56]	train-mlogloss:1.18965	validation-mlogloss:1.19097
[57]	train-mlogloss:1.18705	validation-mlogloss:1.18849
[58]	train-mlogloss:1.18445	validation-mlogloss:1.18600
[59]	train-mlogloss:1.18186	validation-mlogloss:1.18339
[60]	train-mlogloss:1.17937	validation-mlogloss:1.18098
[61]	train-mlogloss:1.17683	validation-mlogloss:1.17855
[62]	train-mlogloss:1.17427	validation-mlogloss:1.17602
[63]	train-mlogloss:1.17177	validation-mlogloss:1.17342
[64]	train-mlogloss:1.16925	validation-mlogloss:1.17094
[65]	train-mlogloss:1.16692	validation-mlogloss:1.16861
[66]	train-mlogloss:1.16447	validation-mlogloss:1.16614
[67]	train-mlogloss:1.16202	validation-mlogloss:1.16367
[68]	train-mlogloss:1.15972	validation-mlogloss:1.16145
[69]	train-mlogloss:1.15731	validation-mlogloss:1.15910
[70]	train-mlogloss:1.15500	validation-mlogloss:1.15674
[71]	train-mlogloss:1.15274	validation-mlogloss:1.15453
[72]	train-mlogloss:1.15038	validation-mlogloss:1.15220
[73]	train-mlogloss:1.14783	validation-mlogloss:1.14990
[74]	train-mlogloss:1.14536	validation-mlogloss:1.14762
[75]	train-mlogloss:1.14314	validation-mlogloss:1.14555
[76]	train-mlogloss:1.14085	validation-mlogloss:1.14323
[77]	train-mlogloss:1.13857	validation-mlogloss:1.14109
[78]	train-mlogloss:1.13609	validation-mlogloss:1.13870
[79]	train-mlogloss:1.13388	validation-mlogloss:1.13647
[80]	train-mlogloss:1.13144	validation-mlogloss:1.13423
[81]	train-mlogloss:1.12930	validation-mlogloss:1.13208
[82]	train-mlogloss:1.12721	validation-mlogloss:1.12992
[83]	train-mlogloss:1.12503	validation-mlogloss:1.12767
[84]	train-mlogloss:1.12268	validation-mlogloss:1.12540
[85]	train-mlogloss:1.12054	validation-mlogloss:1.12334
[86]	train-mlogloss:1.11828	validation-mlogloss:1.12136
[87]	train-mlogloss:1.11612	validation-mlogloss:1.11911
[88]	train-mlogloss:1.11377	validation-mlogloss:1.11680
[89]	train-mlogloss:1.11152	validation-mlogloss:1.11475
[90]	train-mlogloss:1.10926	validation-mlogloss:1.11264
[91]	train-mlogloss:1.10709	validation-mlogloss:1.11064
[92]	train-mlogloss:1.10508	validation-mlogloss:1.10852
[93]	train-mlogloss:1.10292	validation-mlogloss:1.10637
[94]	train-mlogloss:1.10080	validation-mlogloss:1.10436
[95]	train-mlogloss:1.09887	validation-mlogloss:1.10235
[96]	train-mlogloss:1.09677	validation-mlogloss:1.10041
[97]	train-mlogloss:1.09477	validation-mlogloss:1.09845
[98]	train-mlogloss:1.09258	validation-mlogloss:1.09628
[99]	train-mlogloss:1.09061	validation-mlogloss:1.09426
[100]	train-mlogloss:1.08851	validation-mlogloss:1.09216
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[399]	train-mlogloss:0.80992	validation-mlogloss:0.81770
[400]	train-mlogloss:0.80955	validation-mlogloss:0.81743
[401]	train-mlogloss:0.80914	validation-mlogloss:0.81702
[402]	train-mlogloss:0.80874	validation-mlogloss:0.81657
[403]	train-mlogloss:0.80836	validation-mlogloss:0.81623
[404]	train-mlogloss:0.80797	validation-mlogloss:0.81592
[405]	train-mlogloss:0.80753	validation-mlogloss:0.81548
[406]	train-mlogloss:0.80718	validation-mlogloss:0.81517
[407]	train-mlogloss:0.80680	validation-mlogloss:0.81480
[408]	train-mlogloss:0.80641	validation-mlogloss:0.81441
[409]	train-mlogloss:0.80607	validation-mlogloss:0.81412
[410]	train-mlogloss:0.80564	validation-mlogloss:0.81367
[411]	train-mlogloss:0.80528	validation-mlogloss:0.81334
[412]	train-mlogloss:0.80486	validation-mlogloss:0.81303
[413]	train-mlogloss:0.80446	validation-mlogloss:0.81265
[414]	train-mlogloss:0.80409	validation-mlogloss:0.81223
[415]	train-mlogloss:0.80369	validation-mlogloss:0.81177
[416]	train-mlogloss:0.80330	validation-mlogloss:0.81138
[417]	train-mlogloss:0.80295	validation-mlogloss:0.81108
[418]	train-mlogloss:0.80257	validation-mlogloss:0.81078
[419]	train-mlogloss:0.80219	validation-mlogloss:0.81046
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[0 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.59 [%]
Global accuracy score (test) = 67.64 [%]
Global F1 score (train) = 68.08 [%]
Global F1 score (test) = 67.42 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.34      0.43       400
MODERATE-INTENSITY       0.51      0.81      0.62       400
         SEDENTARY       0.84      0.85      0.84       400
VIGOROUS-INTENSITY       0.90      0.71      0.80       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.67      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 27: 67.64 [%]
F1-score capturado en la ejecución 27: 67.42 [%]

=== EJECUCIÓN 28 ===

--- TRAIN (ejecución 28) ---

--- TEST (ejecución 28) ---
2025-11-07 10:43:10.756005: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:43:10.767672: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508590.782437 2405837 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508590.786856 2405837 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508590.797499 2405837 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508590.797525 2405837 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508590.797527 2405837 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508590.797529 2405837 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:43:10.800849: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38202	validation-mlogloss:1.38201
[1]	train-mlogloss:1.37760	validation-mlogloss:1.37767
[2]	train-mlogloss:1.37319	validation-mlogloss:1.37318
[3]	train-mlogloss:1.36882	validation-mlogloss:1.36860
[4]	train-mlogloss:1.36473	validation-mlogloss:1.36453
[5]	train-mlogloss:1.36069	validation-mlogloss:1.36046
[6]	train-mlogloss:1.35648	validation-mlogloss:1.35627
[7]	train-mlogloss:1.35231	validation-mlogloss:1.35208
[8]	train-mlogloss:1.34832	validation-mlogloss:1.34808
[9]	train-mlogloss:1.34398	validation-mlogloss:1.34390
[10]	train-mlogloss:1.34002	validation-mlogloss:1.34005
[11]	train-mlogloss:1.33611	validation-mlogloss:1.33601
[12]	train-mlogloss:1.33221	validation-mlogloss:1.33210
[13]	train-mlogloss:1.32838	validation-mlogloss:1.32815
[14]	train-mlogloss:1.32453	validation-mlogloss:1.32433
[15]	train-mlogloss:1.32067	validation-mlogloss:1.32052
[16]	train-mlogloss:1.31687	validation-mlogloss:1.31643
[17]	train-mlogloss:1.31321	validation-mlogloss:1.31279
[18]	train-mlogloss:1.30966	validation-mlogloss:1.30930
[19]	train-mlogloss:1.30586	validation-mlogloss:1.30545
[20]	train-mlogloss:1.30232	validation-mlogloss:1.30187
[21]	train-mlogloss:1.29881	validation-mlogloss:1.29833
[22]	train-mlogloss:1.29516	validation-mlogloss:1.29448
[23]	train-mlogloss:1.29167	validation-mlogloss:1.29077
[24]	train-mlogloss:1.28817	validation-mlogloss:1.28725
[25]	train-mlogloss:1.28466	validation-mlogloss:1.28375
[26]	train-mlogloss:1.28130	validation-mlogloss:1.28024
[27]	train-mlogloss:1.27791	validation-mlogloss:1.27679
[28]	train-mlogloss:1.27451	validation-mlogloss:1.27345
[29]	train-mlogloss:1.27115	validation-mlogloss:1.26996
[30]	train-mlogloss:1.26789	validation-mlogloss:1.26660
[31]	train-mlogloss:1.26461	validation-mlogloss:1.26320
[32]	train-mlogloss:1.26138	validation-mlogloss:1.25991
[33]	train-mlogloss:1.25794	validation-mlogloss:1.25673
[34]	train-mlogloss:1.25480	validation-mlogloss:1.25367
[35]	train-mlogloss:1.25168	validation-mlogloss:1.25049
[36]	train-mlogloss:1.24855	validation-mlogloss:1.24732
[37]	train-mlogloss:1.24544	validation-mlogloss:1.24426
[38]	train-mlogloss:1.24245	validation-mlogloss:1.24138
[39]	train-mlogloss:1.23943	validation-mlogloss:1.23832
[40]	train-mlogloss:1.23617	validation-mlogloss:1.23519
[41]	train-mlogloss:1.23322	validation-mlogloss:1.23230
[42]	train-mlogloss:1.23020	validation-mlogloss:1.22919
[43]	train-mlogloss:1.22734	validation-mlogloss:1.22633
[44]	train-mlogloss:1.22406	validation-mlogloss:1.22312
[45]	train-mlogloss:1.22113	validation-mlogloss:1.22020
[46]	train-mlogloss:1.21827	validation-mlogloss:1.21739
[47]	train-mlogloss:1.21540	validation-mlogloss:1.21441
[48]	train-mlogloss:1.21256	validation-mlogloss:1.21162
[49]	train-mlogloss:1.20975	validation-mlogloss:1.20886
[50]	train-mlogloss:1.20692	validation-mlogloss:1.20612
[51]	train-mlogloss:1.20417	validation-mlogloss:1.20339
[52]	train-mlogloss:1.20141	validation-mlogloss:1.20056
[53]	train-mlogloss:1.19871	validation-mlogloss:1.19791
[54]	train-mlogloss:1.19592	validation-mlogloss:1.19501
[55]	train-mlogloss:1.19327	validation-mlogloss:1.19227
[56]	train-mlogloss:1.19068	validation-mlogloss:1.18957
[57]	train-mlogloss:1.18798	validation-mlogloss:1.18686
[58]	train-mlogloss:1.18531	validation-mlogloss:1.18416
[59]	train-mlogloss:1.18267	validation-mlogloss:1.18158
[60]	train-mlogloss:1.18014	validation-mlogloss:1.17902
[61]	train-mlogloss:1.17764	validation-mlogloss:1.17650
[62]	train-mlogloss:1.17515	validation-mlogloss:1.17406
[63]	train-mlogloss:1.17262	validation-mlogloss:1.17150
[64]	train-mlogloss:1.17022	validation-mlogloss:1.16900
[65]	train-mlogloss:1.16779	validation-mlogloss:1.16660
[66]	train-mlogloss:1.16536	validation-mlogloss:1.16418
[67]	train-mlogloss:1.16294	validation-mlogloss:1.16166
[68]	train-mlogloss:1.16022	validation-mlogloss:1.15901
[69]	train-mlogloss:1.15779	validation-mlogloss:1.15646
[70]	train-mlogloss:1.15548	validation-mlogloss:1.15417
[71]	train-mlogloss:1.15305	validation-mlogloss:1.15174
[72]	train-mlogloss:1.15076	validation-mlogloss:1.14941
[73]	train-mlogloss:1.14831	validation-mlogloss:1.14710
[74]	train-mlogloss:1.14605	validation-mlogloss:1.14488
[75]	train-mlogloss:1.14380	validation-mlogloss:1.14252
[76]	train-mlogloss:1.14156	validation-mlogloss:1.14029
[77]	train-mlogloss:1.13936	validation-mlogloss:1.13803
[78]	train-mlogloss:1.13716	validation-mlogloss:1.13585
[79]	train-mlogloss:1.13503	validation-mlogloss:1.13378
[80]	train-mlogloss:1.13283	validation-mlogloss:1.13159
[81]	train-mlogloss:1.13035	validation-mlogloss:1.12915
[82]	train-mlogloss:1.12819	validation-mlogloss:1.12702
[83]	train-mlogloss:1.12608	validation-mlogloss:1.12487
[84]	train-mlogloss:1.12372	validation-mlogloss:1.12269
[85]	train-mlogloss:1.12163	validation-mlogloss:1.12044
[86]	train-mlogloss:1.11959	validation-mlogloss:1.11833
[87]	train-mlogloss:1.11720	validation-mlogloss:1.11594
[88]	train-mlogloss:1.11512	validation-mlogloss:1.11379
[89]	train-mlogloss:1.11309	validation-mlogloss:1.11170
[90]	train-mlogloss:1.11104	validation-mlogloss:1.10952
[91]	train-mlogloss:1.10907	validation-mlogloss:1.10748
[92]	train-mlogloss:1.10710	validation-mlogloss:1.10539
[93]	train-mlogloss:1.10490	validation-mlogloss:1.10330
[94]	train-mlogloss:1.10296	validation-mlogloss:1.10140
[95]	train-mlogloss:1.10113	validation-mlogloss:1.09964
[96]	train-mlogloss:1.09894	validation-mlogloss:1.09749
[97]	train-mlogloss:1.09700	validation-mlogloss:1.09543
[98]	train-mlogloss:1.09508	validation-mlogloss:1.09344
[99]	train-mlogloss:1.09294	validation-mlogloss:1.09132
[100]	train-mlogloss:1.09102	validation-mlogloss:1.08941
[101]	train-mlogloss:1.08915	validation-mlogloss:1.08761
[102]	train-mlogloss:1.08726	validation-mlogloss:1.08566
[103]	train-mlogloss:1.08538	validation-mlogloss:1.08370
[104]	train-mlogloss:1.08354	validation-mlogloss:1.08178
[105]	train-mlogloss:1.08170	validation-mlogloss:1.07989
[106]	train-mlogloss:1.07989	validation-mlogloss:1.07806
[107]	train-mlogloss:1.07810	validation-mlogloss:1.07631
[108]	train-mlogloss:1.07629	validation-mlogloss:1.07440
[109]	train-mlogloss:1.07429	validation-mlogloss:1.07239
[110]	train-mlogloss:1.07255	validation-mlogloss:1.07067
[111]	train-mlogloss:1.07084	validation-mlogloss:1.06903
[112]	train-mlogloss:1.06909	validation-mlogloss:1.06726
[113]	train-mlogloss:1.06732	validation-mlogloss:1.06558
[114]	train-mlogloss:1.06539	validation-mlogloss:1.06371
[115]	train-mlogloss:1.06372	validation-mlogloss:1.06212
[116]	train-mlogloss:1.06193	validation-mlogloss:1.06045
[117]	train-mlogloss:1.06016	validation-mlogloss:1.05879
[118]	train-mlogloss:1.05859	validation-mlogloss:1.05726
[119]	train-mlogloss:1.05700	validation-mlogloss:1.05561
[120]	train-mlogloss:1.05523	validation-mlogloss:1.05400
[121]	train-mlogloss:1.05341	validation-mlogloss:1.05217
[122]	train-mlogloss:1.05173	validation-mlogloss:1.05051
[123]	train-mlogloss:1.05003	validation-mlogloss:1.04882
[124]	train-mlogloss:1.04842	validation-mlogloss:1.04720
[125]	train-mlogloss:1.04682	validation-mlogloss:1.04556
[126]	train-mlogloss:1.04502	validation-mlogloss:1.04378
[127]	train-mlogloss:1.04347	validation-mlogloss:1.04228
[128]	train-mlogloss:1.04193	validation-mlogloss:1.04080
[129]	train-mlogloss:1.04020	validation-mlogloss:1.03919
[130]	train-mlogloss:1.03845	validation-mlogloss:1.03741
[131]	train-mlogloss:1.03695	validation-mlogloss:1.03589
[132]	train-mlogloss:1.03532	validation-mlogloss:1.03428
[133]	train-mlogloss:1.03383	validation-mlogloss:1.03266
[134]	train-mlogloss:1.03223	validation-mlogloss:1.03111
[135]	train-mlogloss:1.03052	validation-mlogloss:1.02931
[136]	train-mlogloss:1.02884	validation-mlogloss:1.02757
[137]	train-mlogloss:1.02738	validation-mlogloss:1.02604
[138]	train-mlogloss:1.02594	validation-mlogloss:1.02455
[139]	train-mlogloss:1.02456	validation-mlogloss:1.02305
[140]	train-mlogloss:1.02297	validation-mlogloss:1.02148
[141]	train-mlogloss:1.02164	validation-mlogloss:1.02024
[142]	train-mlogloss:1.02035	validation-mlogloss:1.01891
[143]	train-mlogloss:1.01896	validation-mlogloss:1.01760
[144]	train-mlogloss:1.01758	validation-mlogloss:1.01621
[145]	train-mlogloss:1.01613	validation-mlogloss:1.01471
[146]	train-mlogloss:1.01456	validation-mlogloss:1.01320
[147]	train-mlogloss:1.01305	validation-mlogloss:1.01170
[148]	train-mlogloss:1.01167	validation-mlogloss:1.01028
[149]	train-mlogloss:1.01033	validation-mlogloss:1.00893
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 69.01 [%]
Global accuracy score (test) = 68.93 [%]
Global F1 score (train) = 68.45 [%]
Global F1 score (test) = 68.64 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.36      0.46       400
MODERATE-INTENSITY       0.53      0.82      0.65       400
         SEDENTARY       0.84      0.86      0.85       400
VIGOROUS-INTENSITY       0.90      0.71      0.80       345

          accuracy                           0.69      1545
         macro avg       0.72      0.69      0.69      1545
      weighted avg       0.71      0.69      0.68      1545


Accuracy capturado en la ejecución 28: 68.93 [%]
F1-score capturado en la ejecución 28: 68.64 [%]

=== EJECUCIÓN 29 ===

--- TRAIN (ejecución 29) ---

--- TEST (ejecución 29) ---
2025-11-07 10:43:22.557680: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-07 10:43:22.569291: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762508602.582541 2406113 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762508602.586671 2406113 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762508602.596464 2406113 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508602.596490 2406113 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508602.596493 2406113 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762508602.596494 2406113 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 10:43:22.599666: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
1 GPU(s) detected and VRAM set to crossover mode..
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Training a non-convolutional model.
[0]	train-mlogloss:1.38181	validation-mlogloss:1.38162
[1]	train-mlogloss:1.37742	validation-mlogloss:1.37719
[2]	train-mlogloss:1.37326	validation-mlogloss:1.37309
[3]	train-mlogloss:1.36895	validation-mlogloss:1.36905
[4]	train-mlogloss:1.36471	validation-mlogloss:1.36488
[5]	train-mlogloss:1.36077	validation-mlogloss:1.36096
[6]	train-mlogloss:1.35655	validation-mlogloss:1.35663
[7]	train-mlogloss:1.35227	validation-mlogloss:1.35246
[8]	train-mlogloss:1.34828	validation-mlogloss:1.34840
[9]	train-mlogloss:1.34429	validation-mlogloss:1.34422
[10]	train-mlogloss:1.34032	validation-mlogloss:1.34008
[11]	train-mlogloss:1.33627	validation-mlogloss:1.33596
[12]	train-mlogloss:1.33233	validation-mlogloss:1.33182
[13]	train-mlogloss:1.32834	validation-mlogloss:1.32789
[14]	train-mlogloss:1.32404	validation-mlogloss:1.32361
[15]	train-mlogloss:1.32027	validation-mlogloss:1.31974
[16]	train-mlogloss:1.31646	validation-mlogloss:1.31597
[17]	train-mlogloss:1.31272	validation-mlogloss:1.31207
[18]	train-mlogloss:1.30905	validation-mlogloss:1.30848
[19]	train-mlogloss:1.30545	validation-mlogloss:1.30497
[20]	train-mlogloss:1.30185	validation-mlogloss:1.30129
[21]	train-mlogloss:1.29802	validation-mlogloss:1.29746
[22]	train-mlogloss:1.29445	validation-mlogloss:1.29408
[23]	train-mlogloss:1.29087	validation-mlogloss:1.29054
[24]	train-mlogloss:1.28740	validation-mlogloss:1.28700
[25]	train-mlogloss:1.28387	validation-mlogloss:1.28347
[26]	train-mlogloss:1.28051	validation-mlogloss:1.28020
[27]	train-mlogloss:1.27711	validation-mlogloss:1.27676
[28]	train-mlogloss:1.27365	validation-mlogloss:1.27316
[29]	train-mlogloss:1.27028	validation-mlogloss:1.26985
[30]	train-mlogloss:1.26665	validation-mlogloss:1.26631
[31]	train-mlogloss:1.26336	validation-mlogloss:1.26316
[32]	train-mlogloss:1.26001	validation-mlogloss:1.25968
[33]	train-mlogloss:1.25682	validation-mlogloss:1.25645
[34]	train-mlogloss:1.25358	validation-mlogloss:1.25316
[35]	train-mlogloss:1.25045	validation-mlogloss:1.25027
[36]	train-mlogloss:1.24734	validation-mlogloss:1.24709
[37]	train-mlogloss:1.24413	validation-mlogloss:1.24379
[38]	train-mlogloss:1.24103	validation-mlogloss:1.24057
[39]	train-mlogloss:1.23799	validation-mlogloss:1.23749
[40]	train-mlogloss:1.23504	validation-mlogloss:1.23460
[41]	train-mlogloss:1.23203	validation-mlogloss:1.23156
[42]	train-mlogloss:1.22873	validation-mlogloss:1.22836
[43]	train-mlogloss:1.22573	validation-mlogloss:1.22517
[44]	train-mlogloss:1.22274	validation-mlogloss:1.22210
[45]	train-mlogloss:1.21982	validation-mlogloss:1.21917
[46]	train-mlogloss:1.21690	validation-mlogloss:1.21608
[47]	train-mlogloss:1.21398	validation-mlogloss:1.21299
[48]	train-mlogloss:1.21118	validation-mlogloss:1.21026
[49]	train-mlogloss:1.20836	validation-mlogloss:1.20753
[50]	train-mlogloss:1.20543	validation-mlogloss:1.20447
[51]	train-mlogloss:1.20264	validation-mlogloss:1.20161
[52]	train-mlogloss:1.19987	validation-mlogloss:1.19880
[53]	train-mlogloss:1.19716	validation-mlogloss:1.19599
[54]	train-mlogloss:1.19442	validation-mlogloss:1.19305
[55]	train-mlogloss:1.19174	validation-mlogloss:1.19024
[56]	train-mlogloss:1.18905	validation-mlogloss:1.18761
[57]	train-mlogloss:1.18639	validation-mlogloss:1.18477
[58]	train-mlogloss:1.18376	validation-mlogloss:1.18197
[59]	train-mlogloss:1.18119	validation-mlogloss:1.17930
[60]	train-mlogloss:1.17866	validation-mlogloss:1.17685
[61]	train-mlogloss:1.17611	validation-mlogloss:1.17430
[62]	train-mlogloss:1.17353	validation-mlogloss:1.17175
[63]	train-mlogloss:1.17099	validation-mlogloss:1.16917
[64]	train-mlogloss:1.16847	validation-mlogloss:1.16668
[65]	train-mlogloss:1.16592	validation-mlogloss:1.16402
[66]	train-mlogloss:1.16346	validation-mlogloss:1.16143
[67]	train-mlogloss:1.16107	validation-mlogloss:1.15898
[68]	train-mlogloss:1.15865	validation-mlogloss:1.15645
[69]	train-mlogloss:1.15619	validation-mlogloss:1.15392
[70]	train-mlogloss:1.15374	validation-mlogloss:1.15141
[71]	train-mlogloss:1.15126	validation-mlogloss:1.14905
[72]	train-mlogloss:1.14886	validation-mlogloss:1.14664
[73]	train-mlogloss:1.14651	validation-mlogloss:1.14414
[74]	train-mlogloss:1.14415	validation-mlogloss:1.14174
[75]	train-mlogloss:1.14183	validation-mlogloss:1.13950
[76]	train-mlogloss:1.13954	validation-mlogloss:1.13720
[77]	train-mlogloss:1.13736	validation-mlogloss:1.13484
[78]	train-mlogloss:1.13512	validation-mlogloss:1.13270
[79]	train-mlogloss:1.13285	validation-mlogloss:1.13030
[80]	train-mlogloss:1.13052	validation-mlogloss:1.12805
[81]	train-mlogloss:1.12812	validation-mlogloss:1.12562
[82]	train-mlogloss:1.12567	validation-mlogloss:1.12322
[83]	train-mlogloss:1.12356	validation-mlogloss:1.12110
[84]	train-mlogloss:1.12139	validation-mlogloss:1.11895
[85]	train-mlogloss:1.11906	validation-mlogloss:1.11666
[86]	train-mlogloss:1.11692	validation-mlogloss:1.11458
[87]	train-mlogloss:1.11480	validation-mlogloss:1.11230
[88]	train-mlogloss:1.11274	validation-mlogloss:1.11016
[89]	train-mlogloss:1.11059	validation-mlogloss:1.10800
[90]	train-mlogloss:1.10832	validation-mlogloss:1.10577
[91]	train-mlogloss:1.10625	validation-mlogloss:1.10372
[92]	train-mlogloss:1.10418	validation-mlogloss:1.10162
[93]	train-mlogloss:1.10227	validation-mlogloss:1.09956
[94]	train-mlogloss:1.10030	validation-mlogloss:1.09758
[95]	train-mlogloss:1.09832	validation-mlogloss:1.09556
[96]	train-mlogloss:1.09610	validation-mlogloss:1.09336
[97]	train-mlogloss:1.09396	validation-mlogloss:1.09129
[98]	train-mlogloss:1.09201	validation-mlogloss:1.08939
[99]	train-mlogloss:1.09015	validation-mlogloss:1.08757
[100]	train-mlogloss:1.08793	validation-mlogloss:1.08528
[101]	train-mlogloss:1.08604	validation-mlogloss:1.08331
[102]	train-mlogloss:1.08394	validation-mlogloss:1.08122
[103]	train-mlogloss:1.08182	validation-mlogloss:1.07912
[104]	train-mlogloss:1.07977	validation-mlogloss:1.07720
[105]	train-mlogloss:1.07773	validation-mlogloss:1.07528
[106]	train-mlogloss:1.07590	validation-mlogloss:1.07341
[107]	train-mlogloss:1.07383	validation-mlogloss:1.07136
[108]	train-mlogloss:1.07206	validation-mlogloss:1.06957
[109]	train-mlogloss:1.07027	validation-mlogloss:1.06770
[110]	train-mlogloss:1.06851	validation-mlogloss:1.06585
[111]	train-mlogloss:1.06655	validation-mlogloss:1.06394
[112]	train-mlogloss:1.06467	validation-mlogloss:1.06220
[113]	train-mlogloss:1.06267	validation-mlogloss:1.06012
[114]	train-mlogloss:1.06072	validation-mlogloss:1.05809
[115]	train-mlogloss:1.05906	validation-mlogloss:1.05624
[116]	train-mlogloss:1.05733	validation-mlogloss:1.05454
[117]	train-mlogloss:1.05559	validation-mlogloss:1.05274
[118]	train-mlogloss:1.05374	validation-mlogloss:1.05087
[119]	train-mlogloss:1.05206	validation-mlogloss:1.04915
[120]	train-mlogloss:1.05038	validation-mlogloss:1.04742
[121]	train-mlogloss:1.04886	validation-mlogloss:1.04584
[122]	train-mlogloss:1.04715	validation-mlogloss:1.04421
[123]	train-mlogloss:1.04541	validation-mlogloss:1.04256
[124]	train-mlogloss:1.04382	validation-mlogloss:1.04103
[125]	train-mlogloss:1.04218	validation-mlogloss:1.03949
[126]	train-mlogloss:1.04045	validation-mlogloss:1.03782
[127]	train-mlogloss:1.03886	validation-mlogloss:1.03628
[128]	train-mlogloss:1.03713	validation-mlogloss:1.03465
[129]	train-mlogloss:1.03541	validation-mlogloss:1.03298
[130]	train-mlogloss:1.03371	validation-mlogloss:1.03129
[131]	train-mlogloss:1.03218	validation-mlogloss:1.02973
[132]	train-mlogloss:1.03071	validation-mlogloss:1.02818
[133]	train-mlogloss:1.02908	validation-mlogloss:1.02662
[134]	train-mlogloss:1.02731	validation-mlogloss:1.02476
[135]	train-mlogloss:1.02566	validation-mlogloss:1.02319
[136]	train-mlogloss:1.02414	validation-mlogloss:1.02165
[137]	train-mlogloss:1.02245	validation-mlogloss:1.02003
[138]	train-mlogloss:1.02081	validation-mlogloss:1.01847
[139]	train-mlogloss:1.01920	validation-mlogloss:1.01690
[140]	train-mlogloss:1.01753	validation-mlogloss:1.01530
[141]	train-mlogloss:1.01618	validation-mlogloss:1.01388
[142]	train-mlogloss:1.01474	validation-mlogloss:1.01252
[143]	train-mlogloss:1.01334	validation-mlogloss:1.01100
[144]	train-mlogloss:1.01171	validation-mlogloss:1.00935
[145]	train-mlogloss:1.01013	validation-mlogloss:1.00773
[146]	train-mlogloss:1.00880	validation-mlogloss:1.00644
[147]	train-mlogloss:1.00749	validation-mlogloss:1.00503
[148]	train-mlogloss:1.00596	validation-mlogloss:1.00360
[149]	train-mlogloss:1.00434	validation-mlogloss:1.00190
[150]	train-mlogloss:1.00291	validation-mlogloss:1.00050
[151]	train-mlogloss:1.00145	validation-mlogloss:0.99913
[152]	train-mlogloss:1.00010	validation-mlogloss:0.99758
[153]	train-mlogloss:0.99892	validation-mlogloss:0.99634
[154]	train-mlogloss:0.99755	validation-mlogloss:0.99498
[155]	train-mlogloss:0.99607	validation-mlogloss:0.99354
[156]	train-mlogloss:0.99463	validation-mlogloss:0.99217
[157]	train-mlogloss:0.99342	validation-mlogloss:0.99086
[158]	train-mlogloss:0.99212	validation-mlogloss:0.98947
[159]	train-mlogloss:0.99067	validation-mlogloss:0.98797
[160]	train-mlogloss:0.98924	validation-mlogloss:0.98656
[161]	train-mlogloss:0.98787	validation-mlogloss:0.98528
[162]	train-mlogloss:0.98646	validation-mlogloss:0.98393
[163]	train-mlogloss:0.98509	validation-mlogloss:0.98261
[164]	train-mlogloss:0.98381	validation-mlogloss:0.98128
[165]	train-mlogloss:0.98254	validation-mlogloss:0.98004
[166]	train-mlogloss:0.98112	validation-mlogloss:0.97854
[167]	train-mlogloss:0.97973	validation-mlogloss:0.97718
[168]	train-mlogloss:0.97837	validation-mlogloss:0.97580
[169]	train-mlogloss:0.97702	validation-mlogloss:0.97444
[170]	train-mlogloss:0.97585	validation-mlogloss:0.97333
[171]	train-mlogloss:0.97449	validation-mlogloss:0.97195
[172]	train-mlogloss:0.97332	validation-mlogloss:0.97070
[173]	train-mlogloss:0.97199	validation-mlogloss:0.96932
[174]	train-mlogloss:0.97070	validation-mlogloss:0.96796
[175]	train-mlogloss:0.96946	validation-mlogloss:0.96684
[176]	train-mlogloss:0.96818	validation-mlogloss:0.96548
[177]	train-mlogloss:0.96702	validation-mlogloss:0.96440
[178]	train-mlogloss:0.96577	validation-mlogloss:0.96319
[179]	train-mlogloss:0.96447	validation-mlogloss:0.96183
[180]	train-mlogloss:0.96313	validation-mlogloss:0.96048
[181]	train-mlogloss:0.96203	validation-mlogloss:0.95936
[182]	train-mlogloss:0.96077	validation-mlogloss:0.95806
[183]	train-mlogloss:0.95959	validation-mlogloss:0.95696
[184]	train-mlogloss:0.95848	validation-mlogloss:0.95580
[185]	train-mlogloss:0.95728	validation-mlogloss:0.95461
[186]	train-mlogloss:0.95613	validation-mlogloss:0.95352
[187]	train-mlogloss:0.95498	validation-mlogloss:0.95233
[188]	train-mlogloss:0.95377	validation-mlogloss:0.95109
[189]	train-mlogloss:0.95258	validation-mlogloss:0.94986
[190]	train-mlogloss:0.95133	validation-mlogloss:0.94854
[191]	train-mlogloss:0.95004	validation-mlogloss:0.94721
[192]	train-mlogloss:0.94904	validation-mlogloss:0.94623
[193]	train-mlogloss:0.94801	validation-mlogloss:0.94517
[194]	train-mlogloss:0.94689	validation-mlogloss:0.94401
[195]	train-mlogloss:0.94562	validation-mlogloss:0.94275
[196]	train-mlogloss:0.94468	validation-mlogloss:0.94172
[197]	train-mlogloss:0.94353	validation-mlogloss:0.94066
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[199]	train-mlogloss:0.94149	validation-mlogloss:0.93863
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[395]	train-mlogloss:0.80523	validation-mlogloss:0.80202
[396]	train-mlogloss:0.80478	validation-mlogloss:0.80158
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[398]	train-mlogloss:0.80386	validation-mlogloss:0.80066
[399]	train-mlogloss:0.80346	validation-mlogloss:0.80033
[400]	train-mlogloss:0.80308	validation-mlogloss:0.80000
[401]	train-mlogloss:0.80268	validation-mlogloss:0.79964
[402]	train-mlogloss:0.80228	validation-mlogloss:0.79919
[403]	train-mlogloss:0.80180	validation-mlogloss:0.79869
[404]	train-mlogloss:0.80143	validation-mlogloss:0.79832
[405]	train-mlogloss:0.80106	validation-mlogloss:0.79797
[406]	train-mlogloss:0.80058	validation-mlogloss:0.79749
[407]	train-mlogloss:0.80013	validation-mlogloss:0.79711
[408]	train-mlogloss:0.79967	validation-mlogloss:0.79663
[409]	train-mlogloss:0.79929	validation-mlogloss:0.79631
[410]	train-mlogloss:0.79893	validation-mlogloss:0.79603
[411]	train-mlogloss:0.79857	validation-mlogloss:0.79568
[412]	train-mlogloss:0.79821	validation-mlogloss:0.79544
[413]	train-mlogloss:0.79776	validation-mlogloss:0.79502
[414]	train-mlogloss:0.79737	validation-mlogloss:0.79469
[415]	train-mlogloss:0.79700	validation-mlogloss:0.79431
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[417]	train-mlogloss:0.79618	validation-mlogloss:0.79352
[418]	train-mlogloss:0.79583	validation-mlogloss:0.79320
[419]	train-mlogloss:0.79546	validation-mlogloss:0.79288
Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 1 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.55 [%]
Global accuracy score (test) = 69.58 [%]
Global F1 score (train) = 68.02 [%]
Global F1 score (test) = 69.54 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.41      0.50       400
MODERATE-INTENSITY       0.55      0.83      0.66       400
         SEDENTARY       0.83      0.83      0.83       400
VIGOROUS-INTENSITY       0.91      0.70      0.79       345

          accuracy                           0.70      1545
         macro avg       0.73      0.70      0.70      1545
      weighted avg       0.72      0.70      0.69      1545


Accuracy capturado en la ejecución 29: 69.58 [%]
F1-score capturado en la ejecución 29: 69.54 [%]

=== EJECUCIÓN 30 ===

--- TRAIN (ejecución 30) ---

--- TEST (ejecución 30) ---
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10438, 42)
[[1.]
 [1.]
 [1.]
 ...
 [2.]
 [2.]
 [2.]]
(1545, 1)
[1 1 0 ... 2 2 2]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 68.68 [%]
Global accuracy score (test) = 67.96 [%]
Global F1 score (train) = 68.23 [%]
Global F1 score (test) = 67.82 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.36      0.45       400
MODERATE-INTENSITY       0.52      0.80      0.63       400
         SEDENTARY       0.85      0.85      0.85       400
VIGOROUS-INTENSITY       0.88      0.71      0.79       345

          accuracy                           0.68      1545
         macro avg       0.71      0.68      0.68      1545
      weighted avg       0.70      0.68      0.67      1545


Accuracy capturado en la ejecución 30: 67.96 [%]
F1-score capturado en la ejecución 30: 67.82 [%]

=== RESUMEN FINAL ===
Accuracies: [68.61, 67.51, 69.84, 69.26, 68.48, 67.83, 68.16, 67.57, 69.45, 69.64, 68.67, 68.16, 67.7, 68.22, 67.57, 69.39, 68.87, 69.06, 67.9, 67.96, 67.96, 69.64, 67.38, 70.1, 69.19, 67.57, 67.64, 68.93, 69.58, 67.96]
F1-scores: [68.6, 67.28, 69.72, 69.32, 68.47, 67.7, 67.96, 67.45, 69.35, 69.21, 68.49, 67.78, 67.52, 68.08, 67.14, 69.27, 68.84, 68.65, 67.17, 67.88, 67.75, 69.47, 67.41, 70.02, 69.11, 67.21, 67.42, 68.64, 69.54, 67.82]
Accuracy mean: 68.5267 | std: 0.8109
F1 mean: 68.3423 | std: 0.8628

Resultados guardados en /mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_C/case_C_XGB_acc_superclasses_CPA_METs/metrics_test.npz
