2025-11-07 09:08:56.587162: 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 09:08:56.598719: 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 00:00:1762502936.612626 2296551 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762502936.616830 2296551 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762502936.627388 2296551 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502936.627408 2296551 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502936.627411 2296551 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502936.627413 2296551 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:08:56.630660: 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 09:09:01,875	INFO worker.py:1927 -- Started a local Ray instance.
2025-11-07 09:09:02,529	INFO tune.py:253 -- Initializing Ray automatically. For cluster usage or custom Ray initialization, call `ray.init(...)` before `Tuner(...)`.
2025-11-07 09:09:02,596	INFO trial.py:182 -- Creating a new dirname dir_058ee_b8fa because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,599	INFO trial.py:182 -- Creating a new dirname dir_058ee_0083 because trial dirname 'dir_058ee' already exists.
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2025-11-07 09:09:02,604	INFO trial.py:182 -- Creating a new dirname dir_058ee_55cc because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,607	INFO trial.py:182 -- Creating a new dirname dir_058ee_bb16 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,609	INFO trial.py:182 -- Creating a new dirname dir_058ee_e2a6 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,611	INFO trial.py:182 -- Creating a new dirname dir_058ee_eb75 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,614	INFO trial.py:182 -- Creating a new dirname dir_058ee_c6a8 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,617	INFO trial.py:182 -- Creating a new dirname dir_058ee_64b2 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,619	INFO trial.py:182 -- Creating a new dirname dir_058ee_2198 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,622	INFO trial.py:182 -- Creating a new dirname dir_058ee_3f18 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,625	INFO trial.py:182 -- Creating a new dirname dir_058ee_1993 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,628	INFO trial.py:182 -- Creating a new dirname dir_058ee_ad86 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,631	INFO trial.py:182 -- Creating a new dirname dir_058ee_b147 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,634	INFO trial.py:182 -- Creating a new dirname dir_058ee_cb7c because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,638	INFO trial.py:182 -- Creating a new dirname dir_058ee_10ac because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,641	INFO trial.py:182 -- Creating a new dirname dir_058ee_b5d0 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,645	INFO trial.py:182 -- Creating a new dirname dir_058ee_3982 because trial dirname 'dir_058ee' already exists.
2025-11-07 09:09:02,652	INFO trial.py:182 -- Creating a new dirname dir_058ee_67bc because trial dirname 'dir_058ee' 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_M/case_M_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning
To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-11-07_09-09-00_151203_2296551/artifacts/2025-11-07_09-09-02/XGBoost_hyperparameters_tuning/driver_artifacts`

Trial status: 20 PENDING
Current time: 2025-11-07 09:09:02. 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_058ee    PENDING                  621             3        0.0104234       0.68198              0.743372   27.6832                   112     335.116           9.5097             8462 │
│ trial_058ee    PENDING                  492             3        0.00658327      0.521562             0.683922    7.32494                   75      15.788          50.09               7643 │
│ trial_058ee    PENDING                  227             3        0.0183834       0.838165             0.531072   10.9353                   195      11.616         173.499               763 │
│ trial_058ee    PENDING                  521             2        0.010624        0.701867             0.520519   12.2543                   187       1.43729       363.444              7530 │
│ trial_058ee    PENDING                  266             3        0.0177658       0.630764             0.530072   21.8123                    76      18.1055         51.5492             3212 │
│ trial_058ee    PENDING                  717             3        0.010262        0.738484             0.785851   26.263                    171       3.74015       274.428              6852 │
│ trial_058ee    PENDING                  685             3        0.0189437       0.771624             0.838815   13.745                     93     258.664         189.372              4192 │
│ trial_058ee    PENDING                  757             2        0.0191456       0.545694             0.69183     7.19457                   74      21.9955        503.337              6297 │
│ trial_058ee    PENDING                  461             2        0.00989554      0.608665             0.752347   10.461                     84     136.318          20.5145             9289 │
│ trial_058ee    PENDING                  324             2        0.0155108       0.507982             0.754558   27.2507                    56       4.11649         5.7307             3093 │
│ trial_058ee    PENDING                  484             3        0.0151901       0.822172             0.579085   15.217                    163      31.6981        124.122              9054 │
│ trial_058ee    PENDING                  560             3        0.0131194       0.539132             0.723549   25.8805                    61       1.09879       886.468              3789 │
│ trial_058ee    PENDING                  405             2        0.018755        0.593212             0.817912   15.351                    101       2.08594       427.295               548 │
│ trial_058ee    PENDING                  551             2        0.0162149       0.527195             0.841028   21.4175                    98     524.883         170.086              4444 │
│ trial_058ee    PENDING                  771             3        0.00943499      0.764955             0.693125   18.9043                   172       6.02648       379.568              4155 │
│ trial_058ee    PENDING                  477             3        0.0134239       0.723686             0.581329   16.1079                   180       2.97998        83.3862             3731 │
│ trial_058ee    PENDING                  790             3        0.0151156       0.548469             0.522697   13.6975                   102       5.10953        37.975              1568 │
│ trial_058ee    PENDING                  563             3        0.0161824       0.794606             0.621849   19.5791                   179     501.993         295.636              4842 │
│ trial_058ee    PENDING                  471             3        0.0187873       0.761082             0.64704    13.7462                   160       5.14055        48.5749             7712 │
│ trial_058ee    PENDING                  313             3        0.0117822       0.839312             0.549124   29.9886                   166      12.6786         35.095              1418 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.69183 │
│ gamma                        7.19457 │
│ learning_rate                0.01915 │
│ max_depth                          2 │
│ min_child_weight                  74 │
│ num_boost_round                  757 │
│ random_state                    6297 │
│ reg_alpha                    21.9955 │
│ reg_lambda                   503.337 │
│ subsample                    0.54569 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.52052 │
│ gamma                        12.2543 │
│ learning_rate                0.01062 │
│ max_depth                          2 │
│ min_child_weight                 187 │
│ num_boost_round                  521 │
│ random_state                    7530 │
│ reg_alpha                    1.43729 │
│ reg_lambda                   363.444 │
│ subsample                    0.70187 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.68392 │
│ gamma                        7.32494 │
│ learning_rate                0.00658 │
│ max_depth                          3 │
│ min_child_weight                  75 │
│ num_boost_round                  492 │
│ random_state                    7643 │
│ reg_alpha                     15.788 │
│ reg_lambda                     50.09 │
│ subsample                    0.52156 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.58133 │
│ gamma                        16.1078 │
│ learning_rate                0.01342 │
│ max_depth                          3 │
│ min_child_weight                 180 │
│ num_boost_round                  477 │
│ random_state                    3731 │
│ reg_alpha                    2.97998 │
│ reg_lambda                   83.3862 │
│ subsample                    0.72369 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.53107 │
│ gamma                        10.9353 │
│ learning_rate                0.01838 │
│ max_depth                          3 │
│ min_child_weight                 195 │
│ num_boost_round                  227 │
│ random_state                     763 │
│ reg_alpha                     11.616 │
│ reg_lambda                   173.499 │
│ subsample                    0.83816 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.83881 │
│ gamma                         13.745 │
│ learning_rate                0.01894 │
│ max_depth                          3 │
│ min_child_weight                  93 │
│ num_boost_round                  685 │
│ random_state                    4192 │
│ reg_alpha                    258.664 │
│ reg_lambda                   189.372 │
│ subsample                    0.77162 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.53007 │
│ gamma                        21.8123 │
│ learning_rate                0.01777 │
│ max_depth                          3 │
│ min_child_weight                  76 │
│ num_boost_round                  266 │
│ random_state                    3212 │
│ reg_alpha                    18.1055 │
│ reg_lambda                   51.5491 │
│ subsample                    0.63076 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.78585 │
│ gamma                         26.263 │
│ learning_rate                0.01026 │
│ max_depth                          3 │
│ min_child_weight                 171 │
│ num_boost_round                  717 │
│ random_state                    6852 │
│ reg_alpha                    3.74015 │
│ reg_lambda                   274.428 │
│ subsample                    0.73848 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.54912 │
│ gamma                        29.9886 │
│ learning_rate                0.01178 │
│ max_depth                          3 │
│ min_child_weight                 166 │
│ num_boost_round                  313 │
│ random_state                    1418 │
│ reg_alpha                    12.6786 │
│ reg_lambda                    35.095 │
│ subsample                    0.83931 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.84103 │
│ gamma                        21.4175 │
│ learning_rate                0.01621 │
│ max_depth                          2 │
│ min_child_weight                  98 │
│ num_boost_round                  551 │
│ random_state                    4444 │
│ reg_alpha                    524.883 │
│ reg_lambda                   170.086 │
│ subsample                    0.52719 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.75235 │
│ gamma                         10.461 │
│ learning_rate                 0.0099 │
│ max_depth                          2 │
│ min_child_weight                  84 │
│ num_boost_round                  461 │
│ random_state                    9289 │
│ reg_alpha                    136.318 │
│ reg_lambda                   20.5145 │
│ subsample                    0.60866 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
[36m(train_xgb_ray_tune pid=2298189)[0m 2025-11-07 09:09:05.919695: 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=2298189)[0m 2025-11-07 09:09:05.939937: 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=2298189)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
[36m(train_xgb_ray_tune pid=2298189)[0m E0000 00:00:1762502945.965728 2299381 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=2298195)[0m E0000 00:00:1762502945.947494 2299351 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=2298195)[0m W0000 00:00:1762502945.968667 2299351 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=2298195)[0m W0000 00:00:1762502945.968697 2299351 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=2298195)[0m W0000 00:00:1762502945.968701 2299351 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=2298195)[0m W0000 00:00:1762502945.968704 2299351 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=2298200)[0m 2025-11-07 09:09:05.964417: 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=2298200)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.64704 │
│ gamma                        13.7462 │
│ learning_rate                0.01879 │
│ max_depth                          3 │
│ min_child_weight                 160 │
│ num_boost_round                  471 │
│ random_state                    7712 │
│ reg_alpha                    5.14055 │
│ reg_lambda                   48.5749 │
│ subsample                    0.76108 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.69312 │
│ gamma                        18.9043 │
│ learning_rate                0.00943 │
│ max_depth                          3 │
│ min_child_weight                 172 │
│ num_boost_round                  771 │
│ random_state                    4155 │
│ reg_alpha                    6.02648 │
│ reg_lambda                   379.568 │
│ subsample                    0.76496 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.5227 │
│ gamma                        13.6975 │
│ learning_rate                0.01512 │
│ max_depth                          3 │
│ min_child_weight                 102 │
│ num_boost_round                  790 │
│ random_state                    1568 │
│ reg_alpha                    5.10953 │
│ reg_lambda                    37.975 │
│ subsample                    0.54847 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.57908 │
│ gamma                         15.217 │
│ learning_rate                0.01519 │
│ max_depth                          3 │
│ min_child_weight                 163 │
│ num_boost_round                  484 │
│ random_state                    9054 │
│ reg_alpha                    31.6981 │
│ reg_lambda                   124.122 │
│ subsample                    0.82217 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.75456 │
│ gamma                        27.2508 │
│ learning_rate                0.01551 │
│ max_depth                          2 │
│ min_child_weight                  56 │
│ num_boost_round                  324 │
│ random_state                    3093 │
│ reg_alpha                    4.11649 │
│ reg_lambda                    5.7307 │
│ subsample                    0.50798 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.72355 │
│ gamma                        25.8805 │
│ learning_rate                0.01312 │
│ max_depth                          3 │
│ min_child_weight                  61 │
│ num_boost_round                  560 │
│ random_state                    3789 │
│ reg_alpha                    1.09879 │
│ reg_lambda                   886.468 │
│ subsample                    0.53913 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.81791 │
│ gamma                         15.351 │
│ learning_rate                0.01875 │
│ max_depth                          2 │
│ min_child_weight                 101 │
│ num_boost_round                  405 │
│ random_state                     548 │
│ reg_alpha                    2.08594 │
│ reg_lambda                   427.295 │
│ subsample                    0.59321 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.74337 │
│ gamma                        27.6832 │
│ learning_rate                0.01042 │
│ max_depth                          3 │
│ min_child_weight                 112 │
│ num_boost_round                  621 │
│ random_state                    8462 │
│ reg_alpha                    335.116 │
│ reg_lambda                    9.5097 │
│ subsample                    0.68198 │
╰──────────────────────────────────────╯
Trial trial_058ee started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_058ee config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.62185 │
│ gamma                        19.5791 │
│ learning_rate                0.01618 │
│ max_depth                          3 │
│ min_child_weight                 179 │
│ num_boost_round                  563 │
│ random_state                    4842 │
│ reg_alpha                    501.993 │
│ reg_lambda                   295.636 │
│ subsample                    0.79461 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298195)[0m [0]	train-mlogloss:1.38392	validation-mlogloss:1.38391
[36m(train_xgb_ray_tune pid=2298195)[0m [1]	train-mlogloss:1.38157	validation-mlogloss:1.38148
[36m(train_xgb_ray_tune pid=2298195)[0m [2]	train-mlogloss:1.37925	validation-mlogloss:1.37910
[36m(train_xgb_ray_tune pid=2298195)[0m [3]	train-mlogloss:1.37701	validation-mlogloss:1.37688
[36m(train_xgb_ray_tune pid=2298195)[0m [4]	train-mlogloss:1.37471	validation-mlogloss:1.37455
[36m(train_xgb_ray_tune pid=2298195)[0m [5]	train-mlogloss:1.37239	validation-mlogloss:1.37227
[36m(train_xgb_ray_tune pid=2298195)[0m [6]	train-mlogloss:1.37027	validation-mlogloss:1.37030
[36m(train_xgb_ray_tune pid=2298181)[0m [0]	train-mlogloss:1.38401	validation-mlogloss:1.38402
[36m(train_xgb_ray_tune pid=2298200)[0m [0]	train-mlogloss:1.38310	validation-mlogloss:1.38313
[36m(train_xgb_ray_tune pid=2298200)[0m [1]	train-mlogloss:1.37974	validation-mlogloss:1.37973
[36m(train_xgb_ray_tune pid=2298200)[0m [2]	train-mlogloss:1.37638	validation-mlogloss:1.37632
[36m(train_xgb_ray_tune pid=2298200)[0m [3]	train-mlogloss:1.37304	validation-mlogloss:1.37286
[36m(train_xgb_ray_tune pid=2298200)[0m [4]	train-mlogloss:1.36975	validation-mlogloss:1.36944
[36m(train_xgb_ray_tune pid=2298200)[0m [5]	train-mlogloss:1.36653	validation-mlogloss:1.36605
[36m(train_xgb_ray_tune pid=2298200)[0m [6]	train-mlogloss:1.36338	validation-mlogloss:1.36265
[36m(train_xgb_ray_tune pid=2298200)[0m [7]	train-mlogloss:1.36026	validation-mlogloss:1.35929
[36m(train_xgb_ray_tune pid=2298202)[0m [0]	train-mlogloss:1.38168	validation-mlogloss:1.38155
[36m(train_xgb_ray_tune pid=2298202)[0m [1]	train-mlogloss:1.37679	validation-mlogloss:1.37647
[36m(train_xgb_ray_tune pid=2298202)[0m [2]	train-mlogloss:1.37227	validation-mlogloss:1.37170
[36m(train_xgb_ray_tune pid=2298202)[0m [3]	train-mlogloss:1.36774	validation-mlogloss:1.36703
[36m(train_xgb_ray_tune pid=2298202)[0m [4]	train-mlogloss:1.36337	validation-mlogloss:1.36252
[36m(train_xgb_ray_tune pid=2298200)[0m [8]	train-mlogloss:1.35705	validation-mlogloss:1.35588
[36m(train_xgb_ray_tune pid=2298195)[0m [7]	train-mlogloss:1.36809	validation-mlogloss:1.36809
[36m(train_xgb_ray_tune pid=2298181)[0m [1]	train-mlogloss:1.38174	validation-mlogloss:1.38171
[36m(train_xgb_ray_tune pid=2298202)[0m [5]	train-mlogloss:1.35905	validation-mlogloss:1.35808
[36m(train_xgb_ray_tune pid=2298200)[0m [9]	train-mlogloss:1.35395	validation-mlogloss:1.35261
[36m(train_xgb_ray_tune pid=2298195)[0m [8]	train-mlogloss:1.36569	validation-mlogloss:1.36555
[36m(train_xgb_ray_tune pid=2298195)[0m [9]	train-mlogloss:1.36332	validation-mlogloss:1.36304
[36m(train_xgb_ray_tune pid=2298195)[0m [10]	train-mlogloss:1.36125	validation-mlogloss:1.36099
[36m(train_xgb_ray_tune pid=2298195)[0m [11]	train-mlogloss:1.35908	validation-mlogloss:1.35885
[36m(train_xgb_ray_tune pid=2298195)[0m [12]	train-mlogloss:1.35689	validation-mlogloss:1.35662
[36m(train_xgb_ray_tune pid=2298195)[0m [13]	train-mlogloss:1.35462	validation-mlogloss:1.35424
[36m(train_xgb_ray_tune pid=2298195)[0m [14]	train-mlogloss:1.35237	validation-mlogloss:1.35186
[36m(train_xgb_ray_tune pid=2298195)[0m [15]	train-mlogloss:1.35022	validation-mlogloss:1.34967
[36m(train_xgb_ray_tune pid=2298195)[0m [16]	train-mlogloss:1.34815	validation-mlogloss:1.34751
[36m(train_xgb_ray_tune pid=2298195)[0m [17]	train-mlogloss:1.34607	validation-mlogloss:1.34531
[36m(train_xgb_ray_tune pid=2298195)[0m [18]	train-mlogloss:1.34402	validation-mlogloss:1.34318
[36m(train_xgb_ray_tune pid=2298195)[0m [19]	train-mlogloss:1.34201	validation-mlogloss:1.34119
[36m(train_xgb_ray_tune pid=2298181)[0m [2]	train-mlogloss:1.37950	validation-mlogloss:1.37945
[36m(train_xgb_ray_tune pid=2298181)[0m [3]	train-mlogloss:1.37720	validation-mlogloss:1.37711
[36m(train_xgb_ray_tune pid=2298181)[0m [4]	train-mlogloss:1.37499	validation-mlogloss:1.37473
[36m(train_xgb_ray_tune pid=2298181)[0m [5]	train-mlogloss:1.37278	validation-mlogloss:1.37251
[36m(train_xgb_ray_tune pid=2298181)[0m [6]	train-mlogloss:1.37051	validation-mlogloss:1.37007
[36m(train_xgb_ray_tune pid=2298181)[0m [7]	train-mlogloss:1.36830	validation-mlogloss:1.36773
[36m(train_xgb_ray_tune pid=2298181)[0m [8]	train-mlogloss:1.36614	validation-mlogloss:1.36548
[36m(train_xgb_ray_tune pid=2298181)[0m [9]	train-mlogloss:1.36407	validation-mlogloss:1.36343
[36m(train_xgb_ray_tune pid=2298181)[0m [10]	train-mlogloss:1.36199	validation-mlogloss:1.36135
[36m(train_xgb_ray_tune pid=2298198)[0m [0]	train-mlogloss:1.38336	validation-mlogloss:1.38331
[36m(train_xgb_ray_tune pid=2298198)[0m [1]	train-mlogloss:1.38044	validation-mlogloss:1.38034
[36m(train_xgb_ray_tune pid=2298198)[0m [2]	train-mlogloss:1.37748	validation-mlogloss:1.37726
[36m(train_xgb_ray_tune pid=2298198)[0m [3]	train-mlogloss:1.37477	validation-mlogloss:1.37438
[36m(train_xgb_ray_tune pid=2298196)[0m [0]	train-mlogloss:1.38039	validation-mlogloss:1.38028
[36m(train_xgb_ray_tune pid=2298196)[0m [1]	train-mlogloss:1.37458	validation-mlogloss:1.37468
[36m(train_xgb_ray_tune pid=2298196)[0m [2]	train-mlogloss:1.36897	validation-mlogloss:1.36901
[36m(train_xgb_ray_tune pid=2298196)[0m [3]	train-mlogloss:1.36345	validation-mlogloss:1.36335
[36m(train_xgb_ray_tune pid=2298196)[0m [4]	train-mlogloss:1.35750	validation-mlogloss:1.35710
[36m(train_xgb_ray_tune pid=2298200)[0m [10]	train-mlogloss:1.35090	validation-mlogloss:1.34944
[36m(train_xgb_ray_tune pid=2298200)[0m [11]	train-mlogloss:1.34785	validation-mlogloss:1.34625
[36m(train_xgb_ray_tune pid=2298200)[0m [12]	train-mlogloss:1.34489	validation-mlogloss:1.34309
[36m(train_xgb_ray_tune pid=2298200)[0m [13]	train-mlogloss:1.34199	validation-mlogloss:1.34006
[36m(train_xgb_ray_tune pid=2298200)[0m [14]	train-mlogloss:1.33909	validation-mlogloss:1.33709
[36m(train_xgb_ray_tune pid=2298200)[0m [15]	train-mlogloss:1.33626	validation-mlogloss:1.33403
[36m(train_xgb_ray_tune pid=2298200)[0m [16]	train-mlogloss:1.33346	validation-mlogloss:1.33122
[36m(train_xgb_ray_tune pid=2298200)[0m [17]	train-mlogloss:1.33069	validation-mlogloss:1.32842
[36m(train_xgb_ray_tune pid=2298200)[0m [18]	train-mlogloss:1.32795	validation-mlogloss:1.32563
[36m(train_xgb_ray_tune pid=2298200)[0m [19]	train-mlogloss:1.32530	validation-mlogloss:1.32292
[36m(train_xgb_ray_tune pid=2298200)[0m [20]	train-mlogloss:1.32272	validation-mlogloss:1.32030
[36m(train_xgb_ray_tune pid=2298200)[0m [21]	train-mlogloss:1.32011	validation-mlogloss:1.31768
[36m(train_xgb_ray_tune pid=2298200)[0m [22]	train-mlogloss:1.31751	validation-mlogloss:1.31499
[36m(train_xgb_ray_tune pid=2298202)[0m [6]	train-mlogloss:1.35514	validation-mlogloss:1.35416
[36m(train_xgb_ray_tune pid=2298202)[0m [7]	train-mlogloss:1.35098	validation-mlogloss:1.34993
[36m(train_xgb_ray_tune pid=2298202)[0m [8]	train-mlogloss:1.34692	validation-mlogloss:1.34596
[36m(train_xgb_ray_tune pid=2298202)[0m [9]	train-mlogloss:1.34283	validation-mlogloss:1.34189
[36m(train_xgb_ray_tune pid=2298202)[0m [10]	train-mlogloss:1.33849	validation-mlogloss:1.33736
[36m(train_xgb_ray_tune pid=2298202)[0m [11]	train-mlogloss:1.33460	validation-mlogloss:1.33340
[36m(train_xgb_ray_tune pid=2298202)[0m [12]	train-mlogloss:1.33078	validation-mlogloss:1.32965
[36m(train_xgb_ray_tune pid=2298202)[0m [13]	train-mlogloss:1.32686	validation-mlogloss:1.32571
[36m(train_xgb_ray_tune pid=2298202)[0m [14]	train-mlogloss:1.32296	validation-mlogloss:1.32175
[36m(train_xgb_ray_tune pid=2298202)[0m [15]	train-mlogloss:1.31925	validation-mlogloss:1.31808
[36m(train_xgb_ray_tune pid=2298205)[0m [0]	train-mlogloss:1.38187	validation-mlogloss:1.38179
[36m(train_xgb_ray_tune pid=2298205)[0m [1]	train-mlogloss:1.37778	validation-mlogloss:1.37767
[36m(train_xgb_ray_tune pid=2298205)[0m [2]	train-mlogloss:1.37311	validation-mlogloss:1.37279
[36m(train_xgb_ray_tune pid=2298205)[0m [3]	train-mlogloss:1.36900	validation-mlogloss:1.36849
[36m(train_xgb_ray_tune pid=2298205)[0m [4]	train-mlogloss:1.36462	validation-mlogloss:1.36392
[36m(train_xgb_ray_tune pid=2298205)[0m [5]	train-mlogloss:1.36020	validation-mlogloss:1.35931
[36m(train_xgb_ray_tune pid=2298205)[0m [6]	train-mlogloss:1.35608	validation-mlogloss:1.35491
[36m(train_xgb_ray_tune pid=2298205)[0m [7]	train-mlogloss:1.35211	validation-mlogloss:1.35087
[36m(train_xgb_ray_tune pid=2298199)[0m [0]	train-mlogloss:1.38347	validation-mlogloss:1.38343
[36m(train_xgb_ray_tune pid=2298199)[0m [1]	train-mlogloss:1.38059	validation-mlogloss:1.38048
[36m(train_xgb_ray_tune pid=2298203)[0m [0]	train-mlogloss:1.38421	validation-mlogloss:1.38421
[36m(train_xgb_ray_tune pid=2298203)[0m [1]	train-mlogloss:1.38203	validation-mlogloss:1.38204
[36m(train_xgb_ray_tune pid=2298195)[0m [20]	train-mlogloss:1.33982	validation-mlogloss:1.33888
[36m(train_xgb_ray_tune pid=2298196)[0m [5]	train-mlogloss:1.35193	validation-mlogloss:1.35126
[36m(train_xgb_ray_tune pid=2298203)[0m [2]	train-mlogloss:1.37992	validation-mlogloss:1.37994
[36m(train_xgb_ray_tune pid=2298181)[0m [11]	train-mlogloss:1.35976	validation-mlogloss:1.35907
[36m(train_xgb_ray_tune pid=2298202)[0m [16]	train-mlogloss:1.31542	validation-mlogloss:1.31415
[36m(train_xgb_ray_tune pid=2298199)[0m [2]	train-mlogloss:1.37776	validation-mlogloss:1.37752
[36m(train_xgb_ray_tune pid=2298195)[0m [21]	train-mlogloss:1.33777	validation-mlogloss:1.33673
[36m(train_xgb_ray_tune pid=2298198)[0m [4]	train-mlogloss:1.37191	validation-mlogloss:1.37144
[36m(train_xgb_ray_tune pid=2298200)[0m [23]	train-mlogloss:1.31493	validation-mlogloss:1.31232
[36m(train_xgb_ray_tune pid=2298205)[0m [8]	train-mlogloss:1.34811	validation-mlogloss:1.34687
[36m(train_xgb_ray_tune pid=2298203)[0m [3]	train-mlogloss:1.37783	validation-mlogloss:1.37771
[36m(train_xgb_ray_tune pid=2298195)[0m [22]	train-mlogloss:1.33565	validation-mlogloss:1.33462
[36m(train_xgb_ray_tune pid=2298181)[0m [12]	train-mlogloss:1.35749	validation-mlogloss:1.35667
[36m(train_xgb_ray_tune pid=2298196)[0m [6]	train-mlogloss:1.34653	validation-mlogloss:1.34566
[36m(train_xgb_ray_tune pid=2298200)[0m [24]	train-mlogloss:1.31246	validation-mlogloss:1.30999
[36m(train_xgb_ray_tune pid=2298202)[0m [17]	train-mlogloss:1.31167	validation-mlogloss:1.31047
[36m(train_xgb_ray_tune pid=2298199)[0m [3]	train-mlogloss:1.37506	validation-mlogloss:1.37486
[36m(train_xgb_ray_tune pid=2298203)[0m [4]	train-mlogloss:1.37572	validation-mlogloss:1.37557
[36m(train_xgb_ray_tune pid=2298217)[0m [0]	train-mlogloss:1.37890	validation-mlogloss:1.37840
[36m(train_xgb_ray_tune pid=2298198)[0m [5]	train-mlogloss:1.36914	validation-mlogloss:1.36868
[36m(train_xgb_ray_tune pid=2298205)[0m [9]	train-mlogloss:1.34385	validation-mlogloss:1.34250
[36m(train_xgb_ray_tune pid=2298195)[0m [23]	train-mlogloss:1.33376	validation-mlogloss:1.33273
[36m(train_xgb_ray_tune pid=2298181)[0m [13]	train-mlogloss:1.35545	validation-mlogloss:1.35458
[36m(train_xgb_ray_tune pid=2298196)[0m [7]	train-mlogloss:1.34116	validation-mlogloss:1.33988
[36m(train_xgb_ray_tune pid=2298200)[0m [25]	train-mlogloss:1.30998	validation-mlogloss:1.30770
[36m(train_xgb_ray_tune pid=2298202)[0m [18]	train-mlogloss:1.30771	validation-mlogloss:1.30634
[36m(train_xgb_ray_tune pid=2298203)[0m [5]	train-mlogloss:1.37371	validation-mlogloss:1.37344
[36m(train_xgb_ray_tune pid=2298205)[0m [10]	train-mlogloss:1.34013	validation-mlogloss:1.33855
[36m(train_xgb_ray_tune pid=2298199)[0m [4]	train-mlogloss:1.37227	validation-mlogloss:1.37203
[36m(train_xgb_ray_tune pid=2298217)[0m [1]	train-mlogloss:1.37184	validation-mlogloss:1.37122
[36m(train_xgb_ray_tune pid=2298195)[0m [24]	train-mlogloss:1.33172	validation-mlogloss:1.33058
[36m(train_xgb_ray_tune pid=2298198)[0m [6]	train-mlogloss:1.36639	validation-mlogloss:1.36584
[36m(train_xgb_ray_tune pid=2298189)[0m [0]	train-mlogloss:1.38079	validation-mlogloss:1.38059
[36m(train_xgb_ray_tune pid=2298196)[0m [8]	train-mlogloss:1.33614	validation-mlogloss:1.33513
[36m(train_xgb_ray_tune pid=2298200)[0m [26]	train-mlogloss:1.30745	validation-mlogloss:1.30511
[36m(train_xgb_ray_tune pid=2298202)[0m [19]	train-mlogloss:1.30423	validation-mlogloss:1.30291
[36m(train_xgb_ray_tune pid=2298216)[0m [0]	train-mlogloss:1.38629	validation-mlogloss:1.38629
[36m(train_xgb_ray_tune pid=2298195)[0m [25]	train-mlogloss:1.32986	validation-mlogloss:1.32869
[36m(train_xgb_ray_tune pid=2298181)[0m [14]	train-mlogloss:1.35337	validation-mlogloss:1.35247
[36m(train_xgb_ray_tune pid=2298205)[0m [11]	train-mlogloss:1.33643	validation-mlogloss:1.33482
[36m(train_xgb_ray_tune pid=2298199)[0m [5]	train-mlogloss:1.36956	validation-mlogloss:1.36922
[36m(train_xgb_ray_tune pid=2298203)[0m [6]	train-mlogloss:1.37181	validation-mlogloss:1.37154
[36m(train_xgb_ray_tune pid=2298197)[0m [0]	train-mlogloss:1.38073	validation-mlogloss:1.38076
[36m(train_xgb_ray_tune pid=2298217)[0m [2]	train-mlogloss:1.36460	validation-mlogloss:1.36391
[36m(train_xgb_ray_tune pid=2298181)[0m [15]	train-mlogloss:1.35135	validation-mlogloss:1.35051
[36m(train_xgb_ray_tune pid=2298198)[0m [7]	train-mlogloss:1.36370	validation-mlogloss:1.36302
[36m(train_xgb_ray_tune pid=2298189)[0m [1]	train-mlogloss:1.37509	validation-mlogloss:1.37475
[36m(train_xgb_ray_tune pid=2298196)[0m [9]	train-mlogloss:1.33074	validation-mlogloss:1.32966
[36m(train_xgb_ray_tune pid=2298200)[0m [27]	train-mlogloss:1.30494	validation-mlogloss:1.30245
[36m(train_xgb_ray_tune pid=2298202)[0m [20]	train-mlogloss:1.30084	validation-mlogloss:1.29949
[36m(train_xgb_ray_tune pid=2298201)[0m [0]	train-mlogloss:1.38156	validation-mlogloss:1.38115
[36m(train_xgb_ray_tune pid=2298205)[0m [12]	train-mlogloss:1.33266	validation-mlogloss:1.33102
[36m(train_xgb_ray_tune pid=2298216)[0m [1]	train-mlogloss:1.38629	validation-mlogloss:1.38629
[36m(train_xgb_ray_tune pid=2298216)[0m [2]	train-mlogloss:1.38629	validation-mlogloss:1.38629
[36m(train_xgb_ray_tune pid=2298199)[0m [6]	train-mlogloss:1.36685	validation-mlogloss:1.36650
[36m(train_xgb_ray_tune pid=2298203)[0m [7]	train-mlogloss:1.36983	validation-mlogloss:1.36962
[36m(train_xgb_ray_tune pid=2298203)[0m [8]	train-mlogloss:1.36780	validation-mlogloss:1.36759
[36m(train_xgb_ray_tune pid=2298197)[0m [1]	train-mlogloss:1.37547	validation-mlogloss:1.37520
[36m(train_xgb_ray_tune pid=2298217)[0m [3]	train-mlogloss:1.35812	validation-mlogloss:1.35728
[36m(train_xgb_ray_tune pid=2298195)[0m [26]	train-mlogloss:1.32790	validation-mlogloss:1.32672
[36m(train_xgb_ray_tune pid=2298195)[0m [27]	train-mlogloss:1.32614	validation-mlogloss:1.32500
[36m(train_xgb_ray_tune pid=2298181)[0m [16]	train-mlogloss:1.34929	validation-mlogloss:1.34843
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[36m(train_xgb_ray_tune pid=2298217)[0m [12]	train-mlogloss:1.30372	validation-mlogloss:1.30136
[36m(train_xgb_ray_tune pid=2298188)[0m [2]	train-mlogloss:1.38485	validation-mlogloss:1.38478
[36m(train_xgb_ray_tune pid=2298188)[0m [3]	train-mlogloss:1.38423	validation-mlogloss:1.38413
[36m(train_xgb_ray_tune pid=2298195)[0m [40]	train-mlogloss:1.30272	validation-mlogloss:1.30130
[36m(train_xgb_ray_tune pid=2298195)[0m [41]	train-mlogloss:1.30088	validation-mlogloss:1.29946
[36m(train_xgb_ray_tune pid=2298195)[0m 
[36m(train_xgb_ray_tune pid=2298181)[0m [25]	train-mlogloss:1.33123	validation-mlogloss:1.33039
[36m(train_xgb_ray_tune pid=2298198)[0m [17]	train-mlogloss:1.33869	validation-mlogloss:1.33706
[36m(train_xgb_ray_tune pid=2298198)[0m [18]	train-mlogloss:1.33625	validation-mlogloss:1.33446
[36m(train_xgb_ray_tune pid=2298189)[0m [10]	train-mlogloss:1.32824	validation-mlogloss:1.32720
[36m(train_xgb_ray_tune pid=2298196)[0m [20]	train-mlogloss:1.28018	validation-mlogloss:1.27704
[36m(train_xgb_ray_tune pid=2298200)[0m [42]	train-mlogloss:1.27116	validation-mlogloss:1.26772
[36m(train_xgb_ray_tune pid=2298202)[0m [32]	train-mlogloss:1.26070	validation-mlogloss:1.25889
[36m(train_xgb_ray_tune pid=2298212)[0m [4]	train-mlogloss:1.36083	validation-mlogloss:1.35914
[36m(train_xgb_ray_tune pid=2298201)[0m [11]	train-mlogloss:1.33392	validation-mlogloss:1.33238
[36m(train_xgb_ray_tune pid=2298216)[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=2298216)[0m   _log_deprecation_warning(
[36m(train_xgb_ray_tune pid=2298205)[0m [23]	train-mlogloss:1.29473	validation-mlogloss:1.29230
[36m(train_xgb_ray_tune pid=2298215)[0m [5]	train-mlogloss:1.36378	validation-mlogloss:1.36305
[36m(train_xgb_ray_tune pid=2298215)[0m [6]	train-mlogloss:1.36031	validation-mlogloss:1.35950
[36m(train_xgb_ray_tune pid=2298216)[0m [20]	train-mlogloss:1.38629	validation-mlogloss:1.38629
[36m(train_xgb_ray_tune pid=2298213)[0m [5]	train-mlogloss:1.37244	validation-mlogloss:1.37233
[36m(train_xgb_ray_tune pid=2298199)[0m [15]	train-mlogloss:1.34339	validation-mlogloss:1.34208
[36m(train_xgb_ray_tune pid=2298199)[0m [16]	train-mlogloss:1.34099	validation-mlogloss:1.33952
[36m(train_xgb_ray_tune pid=2298203)[0m [22]	train-mlogloss:1.34184	validation-mlogloss:1.34074
[36m(train_xgb_ray_tune pid=2298203)[0m [23]	train-mlogloss:1.34018	validation-mlogloss:1.33906
[36m(train_xgb_ray_tune pid=2298214)[0m [5]	train-mlogloss:1.37520	validation-mlogloss:1.37471
[36m(train_xgb_ray_tune pid=2298197)[0m [11]	train-mlogloss:1.32469	validation-mlogloss:1.32239

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:09. Total running time: 7s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              4.2166 │
│ time_total_s                  4.2166 │
│ training_iteration                 1 │
│ validation_accuracy          0.26334 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298217)[0m [13]	train-mlogloss:1.29823	validation-mlogloss:1.29597
[36m(train_xgb_ray_tune pid=2298188)[0m [4]	train-mlogloss:1.38375	validation-mlogloss:1.38363
[36m(train_xgb_ray_tune pid=2298188)[0m [5]	train-mlogloss:1.38326	validation-mlogloss:1.38311
[36m(train_xgb_ray_tune pid=2298188)[0m [6]	train-mlogloss:1.38269	validation-mlogloss:1.38249
[36m(train_xgb_ray_tune pid=2298195)[0m [42]	train-mlogloss:1.29924	validation-mlogloss:1.29793
[36m(train_xgb_ray_tune pid=2298195)[0m [43]	train-mlogloss:1.29752	validation-mlogloss:1.29614

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:09. Total running time: 7s
[36m(train_xgb_ray_tune pid=2298181)[0m [26]	train-mlogloss:1.32921	validation-mlogloss:1.32839
[36m(train_xgb_ray_tune pid=2298181)[0m [27]	train-mlogloss:1.32719	validation-mlogloss:1.32639
[36m(train_xgb_ray_tune pid=2298187)[0m [0]	train-mlogloss:1.38488	validation-mlogloss:1.38484
[36m(train_xgb_ray_tune pid=2298198)[0m [19]	train-mlogloss:1.33400	validation-mlogloss:1.33212
[36m(train_xgb_ray_tune pid=2298189)[0m [11]	train-mlogloss:1.32324	validation-mlogloss:1.32183
[36m(train_xgb_ray_tune pid=2298196)[0m [21]	train-mlogloss:1.27570	validation-mlogloss:1.27219
[36m(train_xgb_ray_tune pid=2298196)[0m [22]	train-mlogloss:1.27158	validation-mlogloss:1.26803
[36m(train_xgb_ray_tune pid=2298200)[0m [43]	train-mlogloss:1.26914	validation-mlogloss:1.26569
[36m(train_xgb_ray_tune pid=2298200)[0m [44]	train-mlogloss:1.26709	validation-mlogloss:1.26365
[36m(train_xgb_ray_tune pid=2298202)[0m [33]	train-mlogloss:1.25779	validation-mlogloss:1.25593
[36m(train_xgb_ray_tune pid=2298202)[0m [34]	train-mlogloss:1.25449	validation-mlogloss:1.25239
[36m(train_xgb_ray_tune pid=2298212)[0m [5]	train-mlogloss:1.35600	validation-mlogloss:1.35400
[36m(train_xgb_ray_tune pid=2298212)[0m [6]	train-mlogloss:1.35124	validation-mlogloss:1.34885
[36m(train_xgb_ray_tune pid=2298201)[0m [12]	train-mlogloss:1.33007	validation-mlogloss:1.32844
[36m(train_xgb_ray_tune pid=2298201)[0m [13]	train-mlogloss:1.32620	validation-mlogloss:1.32434
[36m(train_xgb_ray_tune pid=2298205)[0m [24]	train-mlogloss:1.29130	validation-mlogloss:1.28860
[36m(train_xgb_ray_tune pid=2298205)[0m [25]	train-mlogloss:1.28784	validation-mlogloss:1.28484
[36m(train_xgb_ray_tune pid=2298215)[0m [7]	train-mlogloss:1.35676	validation-mlogloss:1.35589
[36m(train_xgb_ray_tune pid=2298213)[0m [6]	train-mlogloss:1.37025	validation-mlogloss:1.37016
[36m(train_xgb_ray_tune pid=2298199)[0m [17]	train-mlogloss:1.33844	validation-mlogloss:1.33695
[36m(train_xgb_ray_tune pid=2298203)[0m [24]	train-mlogloss:1.33843	validation-mlogloss:1.33726
[36m(train_xgb_ray_tune pid=2298214)[0m [6]	train-mlogloss:1.37346	validation-mlogloss:1.37292
[36m(train_xgb_ray_tune pid=2298197)[0m [12]	train-mlogloss:1.32030	validation-mlogloss:1.31811
[36m(train_xgb_ray_tune pid=2298197)[0m [13]	train-mlogloss:1.31591	validation-mlogloss:1.31359
[36m(train_xgb_ray_tune pid=2298217)[0m [14]	train-mlogloss:1.29264	validation-mlogloss:1.29005
[36m(train_xgb_ray_tune pid=2298217)[0m [15]	train-mlogloss:1.28752	validation-mlogloss:1.28492
[36m(train_xgb_ray_tune pid=2298188)[0m [7]	train-mlogloss:1.38225	validation-mlogloss:1.38204
[36m(train_xgb_ray_tune pid=2298195)[0m [44]	train-mlogloss:1.29584	validation-mlogloss:1.29434
[36m(train_xgb_ray_tune pid=2298181)[0m [28]	train-mlogloss:1.32518	validation-mlogloss:1.32438
[36m(train_xgb_ray_tune pid=2298187)[0m [1]	train-mlogloss:1.38355	validation-mlogloss:1.38347
[36m(train_xgb_ray_tune pid=2298198)[0m [20]	train-mlogloss:1.33181	validation-mlogloss:1.32983
[36m(train_xgb_ray_tune pid=2298189)[0m [12]	train-mlogloss:1.31880	validation-mlogloss:1.31734
[36m(train_xgb_ray_tune pid=2298200)[0m [45]	train-mlogloss:1.26501	validation-mlogloss:1.26143
[36m(train_xgb_ray_tune pid=2298202)[0m [35]	train-mlogloss:1.25153	validation-mlogloss:1.24922
[36m(train_xgb_ray_tune pid=2298212)[0m [7]	train-mlogloss:1.34639	validation-mlogloss:1.34352
[36m(train_xgb_ray_tune pid=2298201)[0m [14]	train-mlogloss:1.32243	validation-mlogloss:1.32055
[36m(train_xgb_ray_tune pid=2298205)[0m [26]	train-mlogloss:1.28471	validation-mlogloss:1.28182
[36m(train_xgb_ray_tune pid=2298215)[0m [8]	train-mlogloss:1.35337	validation-mlogloss:1.35240
[36m(train_xgb_ray_tune pid=2298215)[0m [9]	train-mlogloss:1.34999	validation-mlogloss:1.34896
[36m(train_xgb_ray_tune pid=2298213)[0m [7]	train-mlogloss:1.36794	validation-mlogloss:1.36780
[36m(train_xgb_ray_tune pid=2298199)[0m [18]	train-mlogloss:1.33593	validation-mlogloss:1.33423
[36m(train_xgb_ray_tune pid=2298203)[0m [25]	train-mlogloss:1.33679	validation-mlogloss:1.33560
[36m(train_xgb_ray_tune pid=2298214)[0m [7]	train-mlogloss:1.37166	validation-mlogloss:1.37100
[36m(train_xgb_ray_tune pid=2298197)[0m [14]	train-mlogloss:1.31166	validation-mlogloss:1.30929
[36m(train_xgb_ray_tune pid=2298217)[0m [16]	train-mlogloss:1.28229	validation-mlogloss:1.27963
[36m(train_xgb_ray_tune pid=2298188)[0m [8]	train-mlogloss:1.38177	validation-mlogloss:1.38153
[36m(train_xgb_ray_tune pid=2298188)[0m [9]	train-mlogloss:1.38131	validation-mlogloss:1.38105
[36m(train_xgb_ray_tune pid=2298195)[0m [45]	train-mlogloss:1.29414	validation-mlogloss:1.29260
[36m(train_xgb_ray_tune pid=2298181)[0m [29]	train-mlogloss:1.32327	validation-mlogloss:1.32248
[36m(train_xgb_ray_tune pid=2298187)[0m [2]	train-mlogloss:1.38219	validation-mlogloss:1.38208
[36m(train_xgb_ray_tune pid=2298187)[0m [3]	train-mlogloss:1.38155	validation-mlogloss:1.38143
[36m(train_xgb_ray_tune pid=2298198)[0m [21]	train-mlogloss:1.32960	validation-mlogloss:1.32752
[36m(train_xgb_ray_tune pid=2298198)[0m [22]	train-mlogloss:1.32746	validation-mlogloss:1.32528
[36m(train_xgb_ray_tune pid=2298189)[0m [13]	train-mlogloss:1.31420	validation-mlogloss:1.31267
[36m(train_xgb_ray_tune pid=2298196)[0m [23]	train-mlogloss:1.26756	validation-mlogloss:1.26392
[36m(train_xgb_ray_tune pid=2298196)[0m [24]	train-mlogloss:1.26335	validation-mlogloss:1.25969
[36m(train_xgb_ray_tune pid=2298200)[0m [46]	train-mlogloss:1.26300	validation-mlogloss:1.25926
[36m(train_xgb_ray_tune pid=2298200)[0m [47]	train-mlogloss:1.26106	validation-mlogloss:1.25725
[36m(train_xgb_ray_tune pid=2298212)[0m [8]	train-mlogloss:1.34186	validation-mlogloss:1.33843
[36m(train_xgb_ray_tune pid=2298205)[0m [27]	train-mlogloss:1.28171	validation-mlogloss:1.27886
[36m(train_xgb_ray_tune pid=2298215)[0m [10]	train-mlogloss:1.34671	validation-mlogloss:1.34537
[36m(train_xgb_ray_tune pid=2298213)[0m [8]	train-mlogloss:1.36568	validation-mlogloss:1.36545
[36m(train_xgb_ray_tune pid=2298199)[0m [19]	train-mlogloss:1.33355	validation-mlogloss:1.33172
[36m(train_xgb_ray_tune pid=2298203)[0m [26]	train-mlogloss:1.33510	validation-mlogloss:1.33382
[36m(train_xgb_ray_tune pid=2298188)[0m [10]	train-mlogloss:1.38084	validation-mlogloss:1.38056
[36m(train_xgb_ray_tune pid=2298188)[0m [11]	train-mlogloss:1.38041	validation-mlogloss:1.38011
[36m(train_xgb_ray_tune pid=2298195)[0m [46]	train-mlogloss:1.29232	validation-mlogloss:1.29055
[36m(train_xgb_ray_tune pid=2298181)[0m [30]	train-mlogloss:1.32136	validation-mlogloss:1.32053
[36m(train_xgb_ray_tune pid=2298189)[0m [14]	train-mlogloss:1.30978	validation-mlogloss:1.30850
[36m(train_xgb_ray_tune pid=2298200)[0m [48]	train-mlogloss:1.25920	validation-mlogloss:1.25543
[36m(train_xgb_ray_tune pid=2298202)[0m [36]	train-mlogloss:1.24827	validation-mlogloss:1.24583
[36m(train_xgb_ray_tune pid=2298205)[0m [28]	train-mlogloss:1.27876	validation-mlogloss:1.27597
[36m(train_xgb_ray_tune pid=2298213)[0m [9]	train-mlogloss:1.36342	validation-mlogloss:1.36314
[36m(train_xgb_ray_tune pid=2298203)[0m [27]	train-mlogloss:1.33332	validation-mlogloss:1.33203
[36m(train_xgb_ray_tune pid=2298214)[0m [8]	train-mlogloss:1.36981	validation-mlogloss:1.36911
[36m(train_xgb_ray_tune pid=2298197)[0m [15]	train-mlogloss:1.30724	validation-mlogloss:1.30479
[36m(train_xgb_ray_tune pid=2298217)[0m [17]	train-mlogloss:1.27678	validation-mlogloss:1.27422
[36m(train_xgb_ray_tune pid=2298188)[0m [12]	train-mlogloss:1.37989	validation-mlogloss:1.37958
[36m(train_xgb_ray_tune pid=2298195)[0m [47]	train-mlogloss:1.29066	validation-mlogloss:1.28884
[36m(train_xgb_ray_tune pid=2298181)[0m [31]	train-mlogloss:1.31949	validation-mlogloss:1.31859
[36m(train_xgb_ray_tune pid=2298187)[0m [4]	train-mlogloss:1.38042	validation-mlogloss:1.38033
[36m(train_xgb_ray_tune pid=2298187)[0m [5]	train-mlogloss:1.37937	validation-mlogloss:1.37929
[36m(train_xgb_ray_tune pid=2298198)[0m [23]	train-mlogloss:1.32528	validation-mlogloss:1.32293
[36m(train_xgb_ray_tune pid=2298198)[0m [24]	train-mlogloss:1.32314	validation-mlogloss:1.32077
[36m(train_xgb_ray_tune pid=2298196)[0m [25]	train-mlogloss:1.25934	validation-mlogloss:1.25545
[36m(train_xgb_ray_tune pid=2298200)[0m [49]	train-mlogloss:1.25729	validation-mlogloss:1.25339
[36m(train_xgb_ray_tune pid=2298202)[0m [37]	train-mlogloss:1.24554	validation-mlogloss:1.24308
[36m(train_xgb_ray_tune pid=2298212)[0m [9]	train-mlogloss:1.33735	validation-mlogloss:1.33403
[36m(train_xgb_ray_tune pid=2298201)[0m [15]	train-mlogloss:1.31860	validation-mlogloss:1.31663
[36m(train_xgb_ray_tune pid=2298205)[0m [29]	train-mlogloss:1.27578	validation-mlogloss:1.27267
[36m(train_xgb_ray_tune pid=2298215)[0m [11]	train-mlogloss:1.34341	validation-mlogloss:1.34188
[36m(train_xgb_ray_tune pid=2298213)[0m [10]	train-mlogloss:1.36121	validation-mlogloss:1.36082
[36m(train_xgb_ray_tune pid=2298199)[0m [20]	train-mlogloss:1.33118	validation-mlogloss:1.32933
[36m(train_xgb_ray_tune pid=2298203)[0m [28]	train-mlogloss:1.33167	validation-mlogloss:1.33036
[36m(train_xgb_ray_tune pid=2298197)[0m [16]	train-mlogloss:1.30289	validation-mlogloss:1.30020
[36m(train_xgb_ray_tune pid=2298217)[0m [18]	train-mlogloss:1.27207	validation-mlogloss:1.26950
[36m(train_xgb_ray_tune pid=2298188)[0m [13]	train-mlogloss:1.37947	validation-mlogloss:1.37913
[36m(train_xgb_ray_tune pid=2298195)[0m [48]	train-mlogloss:1.28908	validation-mlogloss:1.28732
[36m(train_xgb_ray_tune pid=2298195)[0m [49]	train-mlogloss:1.28752	validation-mlogloss:1.28577
[36m(train_xgb_ray_tune pid=2298181)[0m [32]	train-mlogloss:1.31773	validation-mlogloss:1.31686
[36m(train_xgb_ray_tune pid=2298187)[0m [6]	train-mlogloss:1.37827	validation-mlogloss:1.37828
[36m(train_xgb_ray_tune pid=2298198)[0m 
[36m(train_xgb_ray_tune pid=2298198)[0m [25]	train-mlogloss:1.32112	validation-mlogloss:1.31867
[36m(train_xgb_ray_tune pid=2298189)[0m [15]	train-mlogloss:1.30525	validation-mlogloss:1.30389
[36m(train_xgb_ray_tune pid=2298196)[0m [26]	train-mlogloss:1.25548	validation-mlogloss:1.25153
[36m(train_xgb_ray_tune pid=2298200)[0m [50]	train-mlogloss:1.25546	validation-mlogloss:1.25155
[36m(train_xgb_ray_tune pid=2298202)[0m [38]	train-mlogloss:1.24264	validation-mlogloss:1.24001
[36m(train_xgb_ray_tune pid=2298212)[0m [10]	train-mlogloss:1.33288	validation-mlogloss:1.32915
[36m(train_xgb_ray_tune pid=2298212)[0m [11]	train-mlogloss:1.32861	validation-mlogloss:1.32497
[36m(train_xgb_ray_tune pid=2298201)[0m [16]	train-mlogloss:1.31496	validation-mlogloss:1.31296
[36m(train_xgb_ray_tune pid=2298215)[0m [12]	train-mlogloss:1.34014	validation-mlogloss:1.33836
[36m(train_xgb_ray_tune pid=2298213)[0m [11]	train-mlogloss:1.35905	validation-mlogloss:1.35862
[36m(train_xgb_ray_tune pid=2298199)[0m [21]	train-mlogloss:1.32890	validation-mlogloss:1.32706
[36m(train_xgb_ray_tune pid=2298203)[0m [29]	train-mlogloss:1.33008	validation-mlogloss:1.32872
[36m(train_xgb_ray_tune pid=2298214)[0m [9]	train-mlogloss:1.36804	validation-mlogloss:1.36728
[36m(train_xgb_ray_tune pid=2298197)[0m [17]	train-mlogloss:1.29847	validation-mlogloss:1.29580
[36m(train_xgb_ray_tune pid=2298217)[0m [19]	train-mlogloss:1.26712	validation-mlogloss:1.26447
[36m(train_xgb_ray_tune pid=2298188)[0m [14]	train-mlogloss:1.37904	validation-mlogloss:1.37869
[36m(train_xgb_ray_tune pid=2298188)[0m [15]	train-mlogloss:1.37858	validation-mlogloss:1.37822
[36m(train_xgb_ray_tune pid=2298195)[0m [50]	train-mlogloss:1.28594	validation-mlogloss:1.28411
[36m(train_xgb_ray_tune pid=2298195)[0m [51]	train-mlogloss:1.28438	validation-mlogloss:1.28251
[36m(train_xgb_ray_tune pid=2298181)[0m [33]	train-mlogloss:1.31588	validation-mlogloss:1.31496
[36m(train_xgb_ray_tune pid=2298187)[0m [7]	train-mlogloss:1.37749	validation-mlogloss:1.37747
[36m(train_xgb_ray_tune pid=2298187)[0m [8]	train-mlogloss:1.37638	validation-mlogloss:1.37639
[36m(train_xgb_ray_tune pid=2298198)[0m [26]	train-mlogloss:1.31902	validation-mlogloss:1.31648
[36m(train_xgb_ray_tune pid=2298189)[0m [16]	train-mlogloss:1.30093	validation-mlogloss:1.29946
[36m(train_xgb_ray_tune pid=2298196)[0m [27]	train-mlogloss:1.25141	validation-mlogloss:1.24753
[36m(train_xgb_ray_tune pid=2298200)[0m [51]	train-mlogloss:1.25361	validation-mlogloss:1.24969
[36m(train_xgb_ray_tune pid=2298200)[0m [52]	train-mlogloss:1.25173	validation-mlogloss:1.24798
[36m(train_xgb_ray_tune pid=2298202)[0m [39]	train-mlogloss:1.23972	validation-mlogloss:1.23700
[36m(train_xgb_ray_tune pid=2298212)[0m [12]	train-mlogloss:1.32438	validation-mlogloss:1.32016
[36m(train_xgb_ray_tune pid=2298212)[0m [13]	train-mlogloss:1.32050	validation-mlogloss:1.31643
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[36m(train_xgb_ray_tune pid=2298187)[0m [187]	train-mlogloss:1.30250	validation-mlogloss:1.30213
[36m(train_xgb_ray_tune pid=2298187)[0m [188]	train-mlogloss:1.30250	validation-mlogloss:1.30213
[36m(train_xgb_ray_tune pid=2298198)[0m [185]	train-mlogloss:1.19406	validation-mlogloss:1.19197
[36m(train_xgb_ray_tune pid=2298198)[0m [186]	train-mlogloss:1.19393	validation-mlogloss:1.19186
[36m(train_xgb_ray_tune pid=2298189)[0m [126]	train-mlogloss:1.05282	validation-mlogloss:1.05576
[36m(train_xgb_ray_tune pid=2298196)[0m [164]	train-mlogloss:1.03783	validation-mlogloss:1.03662
[36m(train_xgb_ray_tune pid=2298200)[0m [176]	train-mlogloss:1.10987	validation-mlogloss:1.10668
[36m(train_xgb_ray_tune pid=2298202)[0m [158]	train-mlogloss:1.04674	validation-mlogloss:1.04901
[36m(train_xgb_ray_tune pid=2298212)[0m [166]	train-mlogloss:1.05933	validation-mlogloss:1.05598
[36m(train_xgb_ray_tune pid=2298201)[0m [147]	train-mlogloss:1.06753	validation-mlogloss:1.06635
[36m(train_xgb_ray_tune pid=2298201)[0m [148]	train-mlogloss:1.06668	validation-mlogloss:1.06560
[36m(train_xgb_ray_tune pid=2298205)[0m [171]	train-mlogloss:1.05887	validation-mlogloss:1.05532
[36m(train_xgb_ray_tune pid=2298215)[0m [162]	train-mlogloss:1.10271	validation-mlogloss:1.09780
[36m(train_xgb_ray_tune pid=2298213)[0m [142]	train-mlogloss:1.17017	validation-mlogloss:1.16415
[36m(train_xgb_ray_tune pid=2298199)[0m [148]	train-mlogloss:1.14453	validation-mlogloss:1.13841
[36m(train_xgb_ray_tune pid=2298203)[0m [192]	train-mlogloss:1.18488	validation-mlogloss:1.18123
[36m(train_xgb_ray_tune pid=2298214)[0m [134]	train-mlogloss:1.22235	validation-mlogloss:1.21744
[36m(train_xgb_ray_tune pid=2298197)[0m [138]	train-mlogloss:1.04247	validation-mlogloss:1.04642
[36m(train_xgb_ray_tune pid=2298217)[0m [154]	train-mlogloss:0.98789	validation-mlogloss:1.00130
[36m(train_xgb_ray_tune pid=2298188)[0m [235]	train-mlogloss:1.34565	validation-mlogloss:1.34399
[36m(train_xgb_ray_tune pid=2298195)[0m [213]	train-mlogloss:1.12399	validation-mlogloss:1.12133
[36m(train_xgb_ray_tune pid=2298181)[0m [150]	train-mlogloss:1.15866	validation-mlogloss:1.15814
[36m(train_xgb_ray_tune pid=2298187)[0m [189]	train-mlogloss:1.30236	validation-mlogloss:1.30197
[36m(train_xgb_ray_tune pid=2298198)[0m [187]	train-mlogloss:1.19379	validation-mlogloss:1.19169
[36m(train_xgb_ray_tune pid=2298189)[0m [127]	train-mlogloss:1.05170	validation-mlogloss:1.05458
[36m(train_xgb_ray_tune pid=2298189)[0m [128]	train-mlogloss:1.05059	validation-mlogloss:1.05350
[36m(train_xgb_ray_tune pid=2298196)[0m [165]	train-mlogloss:1.03724	validation-mlogloss:1.03589
[36m(train_xgb_ray_tune pid=2298196)[0m [166]	train-mlogloss:1.03664	validation-mlogloss:1.03531
[36m(train_xgb_ray_tune pid=2298200)[0m [177]	train-mlogloss:1.10915	validation-mlogloss:1.10605
[36m(train_xgb_ray_tune pid=2298202)[0m [159]	train-mlogloss:1.04598	validation-mlogloss:1.04843
[36m(train_xgb_ray_tune pid=2298212)[0m [167]	train-mlogloss:1.05871	validation-mlogloss:1.05533
[36m(train_xgb_ray_tune pid=2298201)[0m [149]	train-mlogloss:1.06589	validation-mlogloss:1.06504
[36m(train_xgb_ray_tune pid=2298205)[0m [172]	train-mlogloss:1.05820	validation-mlogloss:1.05465
[36m(train_xgb_ray_tune pid=2298215)[0m [163]	train-mlogloss:1.10206	validation-mlogloss:1.09710
[36m(train_xgb_ray_tune pid=2298213)[0m [143]	train-mlogloss:1.16927	validation-mlogloss:1.16326
[36m(train_xgb_ray_tune pid=2298199)[0m [149]	train-mlogloss:1.14360	validation-mlogloss:1.13737
[36m(train_xgb_ray_tune pid=2298203)[0m [193]	train-mlogloss:1.18434	validation-mlogloss:1.18063
[36m(train_xgb_ray_tune pid=2298203)[0m [194]	train-mlogloss:1.18393	validation-mlogloss:1.18025
[36m(train_xgb_ray_tune pid=2298214)[0m [135]	train-mlogloss:1.22168	validation-mlogloss:1.21675
[36m(train_xgb_ray_tune pid=2298214)[0m [136]	train-mlogloss:1.22092	validation-mlogloss:1.21597
[36m(train_xgb_ray_tune pid=2298197)[0m [139]	train-mlogloss:1.04152	validation-mlogloss:1.04547
[36m(train_xgb_ray_tune pid=2298197)[0m [140]	train-mlogloss:1.04057	validation-mlogloss:1.04473
[36m(train_xgb_ray_tune pid=2298217)[0m [155]	train-mlogloss:0.98726	validation-mlogloss:1.00103
[36m(train_xgb_ray_tune pid=2298195)[0m [214]	train-mlogloss:1.12335	validation-mlogloss:1.12074
[36m(train_xgb_ray_tune pid=2298195)[0m [215]	train-mlogloss:1.12268	validation-mlogloss:1.12007
[36m(train_xgb_ray_tune pid=2298181)[0m [151]	train-mlogloss:1.15770	validation-mlogloss:1.15716
[36m(train_xgb_ray_tune pid=2298187)[0m [190]	train-mlogloss:1.30222	validation-mlogloss:1.30184
[36m(train_xgb_ray_tune pid=2298187)[0m [191]	train-mlogloss:1.30222	validation-mlogloss:1.30184
[36m(train_xgb_ray_tune pid=2298198)[0m [188]	train-mlogloss:1.19366	validation-mlogloss:1.19155
[36m(train_xgb_ray_tune pid=2298196)[0m [167]	train-mlogloss:1.03628	validation-mlogloss:1.03502
[36m(train_xgb_ray_tune pid=2298200)[0m [178]	train-mlogloss:1.10850	validation-mlogloss:1.10539
[36m(train_xgb_ray_tune pid=2298202)[0m [160]	train-mlogloss:1.04516	validation-mlogloss:1.04766
[36m(train_xgb_ray_tune pid=2298212)[0m [168]	train-mlogloss:1.05811	validation-mlogloss:1.05478
[36m(train_xgb_ray_tune pid=2298205)[0m [173]	train-mlogloss:1.05762	validation-mlogloss:1.05415
[36m(train_xgb_ray_tune pid=2298215)[0m [164]	train-mlogloss:1.10144	validation-mlogloss:1.09647
[36m(train_xgb_ray_tune pid=2298199)[0m [150]	train-mlogloss:1.14268	validation-mlogloss:1.13638
[36m(train_xgb_ray_tune pid=2298203)[0m [195]	train-mlogloss:1.18354	validation-mlogloss:1.17990
[36m(train_xgb_ray_tune pid=2298214)[0m [137]	train-mlogloss:1.22031	validation-mlogloss:1.21538
[36m(train_xgb_ray_tune pid=2298181)[0m [152]	train-mlogloss:1.15675	validation-mlogloss:1.15617
[36m(train_xgb_ray_tune pid=2298187)[0m [192]	train-mlogloss:1.30206	validation-mlogloss:1.30169
[36m(train_xgb_ray_tune pid=2298189)[0m [129]	train-mlogloss:1.04949	validation-mlogloss:1.05275
[36m(train_xgb_ray_tune pid=2298196)[0m [168]	train-mlogloss:1.03589	validation-mlogloss:1.03465
[36m(train_xgb_ray_tune pid=2298202)[0m [161]	train-mlogloss:1.04428	validation-mlogloss:1.04675
[36m(train_xgb_ray_tune pid=2298212)[0m [169]	train-mlogloss:1.05744	validation-mlogloss:1.05418
[36m(train_xgb_ray_tune pid=2298201)[0m [150]	train-mlogloss:1.06494	validation-mlogloss:1.06409
[36m(train_xgb_ray_tune pid=2298205)[0m [174]	train-mlogloss:1.05694	validation-mlogloss:1.05344
[36m(train_xgb_ray_tune pid=2298213)[0m [144]	train-mlogloss:1.16832	validation-mlogloss:1.16228
[36m(train_xgb_ray_tune pid=2298203)[0m [196]	train-mlogloss:1.18319	validation-mlogloss:1.17957
[36m(train_xgb_ray_tune pid=2298197)[0m [141]	train-mlogloss:1.03967	validation-mlogloss:1.04395
[36m(train_xgb_ray_tune pid=2298217)[0m [156]	train-mlogloss:0.98673	validation-mlogloss:1.00063
[36m(train_xgb_ray_tune pid=2298195)[0m [216]	train-mlogloss:1.12212	validation-mlogloss:1.11960
[36m(train_xgb_ray_tune pid=2298187)[0m [193]	train-mlogloss:1.30206	validation-mlogloss:1.30169
[36m(train_xgb_ray_tune pid=2298198)[0m [189]	train-mlogloss:1.19345	validation-mlogloss:1.19136
[36m(train_xgb_ray_tune pid=2298189)[0m [130]	train-mlogloss:1.04838	validation-mlogloss:1.05188
[36m(train_xgb_ray_tune pid=2298196)[0m [169]	train-mlogloss:1.03526	validation-mlogloss:1.03387
[36m(train_xgb_ray_tune pid=2298201)[0m [151]	train-mlogloss:1.06412	validation-mlogloss:1.06329
[36m(train_xgb_ray_tune pid=2298215)[0m [165]	train-mlogloss:1.10073	validation-mlogloss:1.09568
[36m(train_xgb_ray_tune pid=2298213)[0m [145]	train-mlogloss:1.16746	validation-mlogloss:1.16146
[36m(train_xgb_ray_tune pid=2298199)[0m [151]	train-mlogloss:1.14179	validation-mlogloss:1.13548
[36m(train_xgb_ray_tune pid=2298203)[0m [197]	train-mlogloss:1.18268	validation-mlogloss:1.17907
[36m(train_xgb_ray_tune pid=2298214)[0m [138]	train-mlogloss:1.21957	validation-mlogloss:1.21467
[36m(train_xgb_ray_tune pid=2298195)[0m [217]	train-mlogloss:1.12157	validation-mlogloss:1.11914
[36m(train_xgb_ray_tune pid=2298181)[0m [153]	train-mlogloss:1.15581	validation-mlogloss:1.15526
[36m(train_xgb_ray_tune pid=2298187)[0m [194]	train-mlogloss:1.30206	validation-mlogloss:1.30169
[36m(train_xgb_ray_tune pid=2298198)[0m [190]	train-mlogloss:1.19324	validation-mlogloss:1.19119
[36m(train_xgb_ray_tune pid=2298200)[0m [179]	train-mlogloss:1.10785	validation-mlogloss:1.10484
[36m(train_xgb_ray_tune pid=2298202)[0m [162]	train-mlogloss:1.04349	validation-mlogloss:1.04600
[36m(train_xgb_ray_tune pid=2298212)[0m [170]	train-mlogloss:1.05688	validation-mlogloss:1.05375
[36m(train_xgb_ray_tune pid=2298205)[0m [175]	train-mlogloss:1.05626	validation-mlogloss:1.05265
[36m(train_xgb_ray_tune pid=2298215)[0m [166]	train-mlogloss:1.09999	validation-mlogloss:1.09486
[36m(train_xgb_ray_tune pid=2298214)[0m [139]	train-mlogloss:1.21889	validation-mlogloss:1.21399
[36m(train_xgb_ray_tune pid=2298197)[0m [142]	train-mlogloss:1.03891	validation-mlogloss:1.04346
[36m(train_xgb_ray_tune pid=2298217)[0m [157]	train-mlogloss:0.98606	validation-mlogloss:1.00004
[36m(train_xgb_ray_tune pid=2298195)[0m [218]	train-mlogloss:1.12095	validation-mlogloss:1.11848
[36m(train_xgb_ray_tune pid=2298187)[0m [195]	train-mlogloss:1.30192	validation-mlogloss:1.30154
[36m(train_xgb_ray_tune pid=2298198)[0m [191]	train-mlogloss:1.19303	validation-mlogloss:1.19100
[36m(train_xgb_ray_tune pid=2298189)[0m [131]	train-mlogloss:1.04728	validation-mlogloss:1.05100
[36m(train_xgb_ray_tune pid=2298196)[0m [170]	train-mlogloss:1.03470	validation-mlogloss:1.03337
[36m(train_xgb_ray_tune pid=2298202)[0m [163]	train-mlogloss:1.04259	validation-mlogloss:1.04511
[36m(train_xgb_ray_tune pid=2298212)[0m [171]	train-mlogloss:1.05624	validation-mlogloss:1.05337
[36m(train_xgb_ray_tune pid=2298201)[0m [152]	train-mlogloss:1.06330	validation-mlogloss:1.06250
[36m(train_xgb_ray_tune pid=2298205)[0m [176]	train-mlogloss:1.05560	validation-mlogloss:1.05199
[36m(train_xgb_ray_tune pid=2298213)[0m [146]	train-mlogloss:1.16657	validation-mlogloss:1.16056
[36m(train_xgb_ray_tune pid=2298199)[0m [152]	train-mlogloss:1.14093	validation-mlogloss:1.13469
[36m(train_xgb_ray_tune pid=2298203)[0m [198]	train-mlogloss:1.18230	validation-mlogloss:1.17873
[36m(train_xgb_ray_tune pid=2298197)[0m [143]	train-mlogloss:1.03803	validation-mlogloss:1.04265
[36m(train_xgb_ray_tune pid=2298181)[0m [154]	train-mlogloss:1.15487	validation-mlogloss:1.15427
[36m(train_xgb_ray_tune pid=2298187)[0m [196]	train-mlogloss:1.30177	validation-mlogloss:1.30140
[36m(train_xgb_ray_tune pid=2298196)[0m [171]	train-mlogloss:1.03430	validation-mlogloss:1.03318
[36m(train_xgb_ray_tune pid=2298200)[0m [180]	train-mlogloss:1.10720	validation-mlogloss:1.10426
[36m(train_xgb_ray_tune pid=2298201)[0m [153]	train-mlogloss:1.06246	validation-mlogloss:1.06178
[36m(train_xgb_ray_tune pid=2298205)[0m [177]	train-mlogloss:1.05496	validation-mlogloss:1.05134
[36m(train_xgb_ray_tune pid=2298215)[0m [167]	train-mlogloss:1.09924	validation-mlogloss:1.09416
[36m(train_xgb_ray_tune pid=2298213)[0m [147]	train-mlogloss:1.16565	validation-mlogloss:1.15962
[36m(train_xgb_ray_tune pid=2298203)[0m [199]	train-mlogloss:1.18181	validation-mlogloss:1.17826
[36m(train_xgb_ray_tune pid=2298214)[0m [140]	train-mlogloss:1.21816	validation-mlogloss:1.21323
[36m(train_xgb_ray_tune pid=2298195)[0m [219]	train-mlogloss:1.12027	validation-mlogloss:1.11785
[36m(train_xgb_ray_tune pid=2298187)[0m [197]	train-mlogloss:1.30177	validation-mlogloss:1.30140
[36m(train_xgb_ray_tune pid=2298198)[0m [192]	train-mlogloss:1.19292	validation-mlogloss:1.19087
[36m(train_xgb_ray_tune pid=2298198)[0m [193]	train-mlogloss:1.19278	validation-mlogloss:1.19076
[36m(train_xgb_ray_tune pid=2298189)[0m [132]	train-mlogloss:1.04611	validation-mlogloss:1.04984
[36m(train_xgb_ray_tune pid=2298196)[0m [172]	train-mlogloss:1.03380	validation-mlogloss:1.03281
[36m(train_xgb_ray_tune pid=2298200)[0m [181]	train-mlogloss:1.10650	validation-mlogloss:1.10361
[36m(train_xgb_ray_tune pid=2298202)[0m [164]	train-mlogloss:1.04189	validation-mlogloss:1.04441
[36m(train_xgb_ray_tune pid=2298212)[0m [172]	train-mlogloss:1.05561	validation-mlogloss:1.05268
[36m(train_xgb_ray_tune pid=2298212)[0m [173]	train-mlogloss:1.05491	validation-mlogloss:1.05213
[36m(train_xgb_ray_tune pid=2298201)[0m [154]	train-mlogloss:1.06174	validation-mlogloss:1.06124
[36m(train_xgb_ray_tune pid=2298205)[0m [178]	train-mlogloss:1.05426	validation-mlogloss:1.05069
[36m(train_xgb_ray_tune pid=2298215)[0m [168]	train-mlogloss:1.09849	validation-mlogloss:1.09356
[36m(train_xgb_ray_tune pid=2298213)[0m [148]	train-mlogloss:1.16480	validation-mlogloss:1.15875
[36m(train_xgb_ray_tune pid=2298199)[0m [153]	train-mlogloss:1.14006	validation-mlogloss:1.13392
[36m(train_xgb_ray_tune pid=2298203)[0m [200]	train-mlogloss:1.18137	validation-mlogloss:1.17786
[36m(train_xgb_ray_tune pid=2298188)[0m 2025-11-07 09:09:06.401173: 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=2298188)[0m 2025-11-07 09:09:06.423134: 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=2298188)[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=2298188)[0m E0000 00:00:1762502946.451752 2299487 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=2298188)[0m E0000 00:00:1762502946.460071 2299487 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=2298188)[0m W0000 00:00:1762502946.480081 2299487 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=2298188)[0m 2025-11-07 09:09:06.486060: 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=2298188)[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=2298203)[0m [201]	train-mlogloss:1.18093	validation-mlogloss:1.17740
[36m(train_xgb_ray_tune pid=2298214)[0m [141]	train-mlogloss:1.21740	validation-mlogloss:1.21248
[36m(train_xgb_ray_tune pid=2298197)[0m [144]	train-mlogloss:1.03711	validation-mlogloss:1.04191
[36m(train_xgb_ray_tune pid=2298217)[0m [158]	train-mlogloss:0.98543	validation-mlogloss:0.99959
[36m(train_xgb_ray_tune pid=2298195)[0m [220]	train-mlogloss:1.11970	validation-mlogloss:1.11728
[36m(train_xgb_ray_tune pid=2298181)[0m [155]	train-mlogloss:1.15397	validation-mlogloss:1.15344
[36m(train_xgb_ray_tune pid=2298187)[0m [198]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298187)[0m [199]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298198)[0m [194]	train-mlogloss:1.19266	validation-mlogloss:1.19065
[36m(train_xgb_ray_tune pid=2298189)[0m [133]	train-mlogloss:1.04514	validation-mlogloss:1.04905
[36m(train_xgb_ray_tune pid=2298196)[0m [173]	train-mlogloss:1.03332	validation-mlogloss:1.03237
[36m(train_xgb_ray_tune pid=2298202)[0m [165]	train-mlogloss:1.04103	validation-mlogloss:1.04364
[36m(train_xgb_ray_tune pid=2298201)[0m [155]	train-mlogloss:1.06096	validation-mlogloss:1.06045
[36m(train_xgb_ray_tune pid=2298205)[0m [179]	train-mlogloss:1.05358	validation-mlogloss:1.05007
[36m(train_xgb_ray_tune pid=2298215)[0m [169]	train-mlogloss:1.09782	validation-mlogloss:1.09285
[36m(train_xgb_ray_tune pid=2298199)[0m [154]	train-mlogloss:1.13922	validation-mlogloss:1.13302
[36m(train_xgb_ray_tune pid=2298203)[0m [202]	train-mlogloss:1.18052	validation-mlogloss:1.17706
[36m(train_xgb_ray_tune pid=2298214)[0m [142]	train-mlogloss:1.21669	validation-mlogloss:1.21175
[36m(train_xgb_ray_tune pid=2298197)[0m [145]	train-mlogloss:1.03622	validation-mlogloss:1.04114
[36m(train_xgb_ray_tune pid=2298195)[0m [221]	train-mlogloss:1.11913	validation-mlogloss:1.11672
[36m(train_xgb_ray_tune pid=2298181)[0m [156]	train-mlogloss:1.15293	validation-mlogloss:1.15241
[36m(train_xgb_ray_tune pid=2298187)[0m [200]	train-mlogloss:1.30161	validation-mlogloss:1.30124

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:11. Total running time: 9s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              5.9491 │
│ time_total_s                  5.9491 │
│ training_iteration                 1 │
│ validation_accuracy          0.44171 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298198)[0m [195]	train-mlogloss:1.19253	validation-mlogloss:1.19051
[36m(train_xgb_ray_tune pid=2298189)[0m [134]	train-mlogloss:1.04410	validation-mlogloss:1.04805
[36m(train_xgb_ray_tune pid=2298196)[0m [174]	train-mlogloss:1.03294	validation-mlogloss:1.03199
[36m(train_xgb_ray_tune pid=2298200)[0m [182]	train-mlogloss:1.10581	validation-mlogloss:1.10290
[36m(train_xgb_ray_tune pid=2298202)[0m [166]	train-mlogloss:1.04030	validation-mlogloss:1.04313
[36m(train_xgb_ray_tune pid=2298212)[0m [174]	train-mlogloss:1.05439	validation-mlogloss:1.05166
[36m(train_xgb_ray_tune pid=2298205)[0m [180]	train-mlogloss:1.05278	validation-mlogloss:1.04936
[36m(train_xgb_ray_tune pid=2298215)[0m [170]	train-mlogloss:1.09696	validation-mlogloss:1.09199
[36m(train_xgb_ray_tune pid=2298213)[0m [149]	train-mlogloss:1.16395	validation-mlogloss:1.15792
[36m(train_xgb_ray_tune pid=2298199)[0m [155]	train-mlogloss:1.13837	validation-mlogloss:1.13224
[36m(train_xgb_ray_tune pid=2298203)[0m [203]	train-mlogloss:1.18008	validation-mlogloss:1.17665
[36m(train_xgb_ray_tune pid=2298214)[0m [143]	train-mlogloss:1.21602	validation-mlogloss:1.21110
[36m(train_xgb_ray_tune pid=2298197)[0m [146]	train-mlogloss:1.03534	validation-mlogloss:1.04028
[36m(train_xgb_ray_tune pid=2298217)[0m [159]	train-mlogloss:0.98480	validation-mlogloss:0.99907

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:11. Total running time: 9s
[36m(train_xgb_ray_tune pid=2298195)[0m [222]	train-mlogloss:1.11855	validation-mlogloss:1.11618
[36m(train_xgb_ray_tune pid=2298187)[0m [201]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298198)[0m [196]	train-mlogloss:1.19240	validation-mlogloss:1.19037
[36m(train_xgb_ray_tune pid=2298196)[0m [175]	train-mlogloss:1.03248	validation-mlogloss:1.03150
[36m(train_xgb_ray_tune pid=2298202)[0m [167]	train-mlogloss:1.03952	validation-mlogloss:1.04231
[36m(train_xgb_ray_tune pid=2298212)[0m [175]	train-mlogloss:1.05394	validation-mlogloss:1.05132
[36m(train_xgb_ray_tune pid=2298201)[0m [156]	train-mlogloss:1.06005	validation-mlogloss:1.05963
[36m(train_xgb_ray_tune pid=2298205)[0m [181]	train-mlogloss:1.05219	validation-mlogloss:1.04873
[36m(train_xgb_ray_tune pid=2298215)[0m [171]	train-mlogloss:1.09627	validation-mlogloss:1.09139
[36m(train_xgb_ray_tune pid=2298213)[0m [150]	train-mlogloss:1.16308	validation-mlogloss:1.15716
[36m(train_xgb_ray_tune pid=2298203)[0m [204]	train-mlogloss:1.17958	validation-mlogloss:1.17623
[36m(train_xgb_ray_tune pid=2298214)[0m [144]	train-mlogloss:1.21528	validation-mlogloss:1.21039
[36m(train_xgb_ray_tune pid=2298197)[0m [147]	train-mlogloss:1.03450	validation-mlogloss:1.03953
[36m(train_xgb_ray_tune pid=2298195)[0m [223]	train-mlogloss:1.11797	validation-mlogloss:1.11566
[36m(train_xgb_ray_tune pid=2298181)[0m [157]	train-mlogloss:1.15199	validation-mlogloss:1.15147
[36m(train_xgb_ray_tune pid=2298187)[0m [202]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298198)[0m [197]	train-mlogloss:1.19221	validation-mlogloss:1.19019
[36m(train_xgb_ray_tune pid=2298198)[0m [198]	train-mlogloss:1.19210	validation-mlogloss:1.19006
[36m(train_xgb_ray_tune pid=2298189)[0m [135]	train-mlogloss:1.04324	validation-mlogloss:1.04738
[36m(train_xgb_ray_tune pid=2298196)[0m [176]	train-mlogloss:1.03211	validation-mlogloss:1.03128
[36m(train_xgb_ray_tune pid=2298200)[0m [183]	train-mlogloss:1.10521	validation-mlogloss:1.10218
[36m(train_xgb_ray_tune pid=2298202)[0m [168]	train-mlogloss:1.03877	validation-mlogloss:1.04164
[36m(train_xgb_ray_tune pid=2298212)[0m [176]	train-mlogloss:1.05321	validation-mlogloss:1.05058
[36m(train_xgb_ray_tune pid=2298201)[0m [157]	train-mlogloss:1.05939	validation-mlogloss:1.05901
[36m(train_xgb_ray_tune pid=2298205)[0m [182]	train-mlogloss:1.05161	validation-mlogloss:1.04818
[36m(train_xgb_ray_tune pid=2298215)[0m [172]	train-mlogloss:1.09543	validation-mlogloss:1.09050
[36m(train_xgb_ray_tune pid=2298213)[0m [151]	train-mlogloss:1.16213	validation-mlogloss:1.15624
[36m(train_xgb_ray_tune pid=2298213)[0m [152]	train-mlogloss:1.16133	validation-mlogloss:1.15538
[36m(train_xgb_ray_tune pid=2298199)[0m [156]	train-mlogloss:1.13750	validation-mlogloss:1.13143
[36m(train_xgb_ray_tune pid=2298203)[0m [205]	train-mlogloss:1.17909	validation-mlogloss:1.17576
[36m(train_xgb_ray_tune pid=2298214)[0m [145]	train-mlogloss:1.21470	validation-mlogloss:1.20982
[36m(train_xgb_ray_tune pid=2298197)[0m [148]	train-mlogloss:1.03353	validation-mlogloss:1.03840
[36m(train_xgb_ray_tune pid=2298217)[0m [160]	train-mlogloss:0.98413	validation-mlogloss:0.99849
[36m(train_xgb_ray_tune pid=2298195)[0m [224]	train-mlogloss:1.11735	validation-mlogloss:1.11509
[36m(train_xgb_ray_tune pid=2298195)[0m [225]	train-mlogloss:1.11669	validation-mlogloss:1.11440
[36m(train_xgb_ray_tune pid=2298181)[0m [158]	train-mlogloss:1.15101	validation-mlogloss:1.15055
[36m(train_xgb_ray_tune pid=2298187)[0m [203]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298187)[0m [204]	train-mlogloss:1.30161	validation-mlogloss:1.30124
[36m(train_xgb_ray_tune pid=2298198)[0m [199]	train-mlogloss:1.19178	validation-mlogloss:1.18979
[36m(train_xgb_ray_tune pid=2298198)[0m [200]	train-mlogloss:1.19166	validation-mlogloss:1.18962
[36m(train_xgb_ray_tune pid=2298189)[0m [136]	train-mlogloss:1.04224	validation-mlogloss:1.04626
[36m(train_xgb_ray_tune pid=2298196)[0m [177]	train-mlogloss:1.03170	validation-mlogloss:1.03088
[36m(train_xgb_ray_tune pid=2298200)[0m [184]	train-mlogloss:1.10455	validation-mlogloss:1.10164
[36m(train_xgb_ray_tune pid=2298200)[0m [185]	train-mlogloss:1.10392	validation-mlogloss:1.10096
[36m(train_xgb_ray_tune pid=2298202)[0m [169]	train-mlogloss:1.03789	validation-mlogloss:1.04086
[36m(train_xgb_ray_tune pid=2298212)[0m [177]	train-mlogloss:1.05263	validation-mlogloss:1.04999
[36m(train_xgb_ray_tune pid=2298201)[0m [158]	train-mlogloss:1.05856	validation-mlogloss:1.05817
[36m(train_xgb_ray_tune pid=2298201)[0m [159]	train-mlogloss:1.05782	validation-mlogloss:1.05753
[36m(train_xgb_ray_tune pid=2298205)[0m [183]	train-mlogloss:1.05099	validation-mlogloss:1.04763
[36m(train_xgb_ray_tune pid=2298215)[0m [173]	train-mlogloss:1.09478	validation-mlogloss:1.08985
[36m(train_xgb_ray_tune pid=2298213)[0m [153]	train-mlogloss:1.16052	validation-mlogloss:1.15455
[36m(train_xgb_ray_tune pid=2298199)[0m [157]	train-mlogloss:1.13661	validation-mlogloss:1.13047
[36m(train_xgb_ray_tune pid=2298203)[0m [206]	train-mlogloss:1.17866	validation-mlogloss:1.17546
[36m(train_xgb_ray_tune pid=2298203)[0m [207]	train-mlogloss:1.17825	validation-mlogloss:1.17506
[36m(train_xgb_ray_tune pid=2298214)[0m [146]	train-mlogloss:1.21406	validation-mlogloss:1.20910
[36m(train_xgb_ray_tune pid=2298214)[0m [147]	train-mlogloss:1.21339	validation-mlogloss:1.20837
[36m(train_xgb_ray_tune pid=2298197)[0m [149]	train-mlogloss:1.03255	validation-mlogloss:1.03732
[36m(train_xgb_ray_tune pid=2298217)[0m [161]	train-mlogloss:0.98345	validation-mlogloss:0.99805
[36m(train_xgb_ray_tune pid=2298195)[0m [226]	train-mlogloss:1.11613	validation-mlogloss:1.11385
[36m(train_xgb_ray_tune pid=2298187)[0m [205]	train-mlogloss:1.30127	validation-mlogloss:1.30092
[36m(train_xgb_ray_tune pid=2298187)[0m [206]	train-mlogloss:1.30112	validation-mlogloss:1.30078
[36m(train_xgb_ray_tune pid=2298198)[0m [201]	train-mlogloss:1.19166	validation-mlogloss:1.18962
[36m(train_xgb_ray_tune pid=2298198)[0m [202]	train-mlogloss:1.19166	validation-mlogloss:1.18962
[36m(train_xgb_ray_tune pid=2298189)[0m [137]	train-mlogloss:1.04133	validation-mlogloss:1.04534
[36m(train_xgb_ray_tune pid=2298189)[0m [138]	train-mlogloss:1.04047	validation-mlogloss:1.04470
[36m(train_xgb_ray_tune pid=2298196)[0m [178]	train-mlogloss:1.03124	validation-mlogloss:1.03040
[36m(train_xgb_ray_tune pid=2298200)[0m [186]	train-mlogloss:1.10327	validation-mlogloss:1.10030
[36m(train_xgb_ray_tune pid=2298202)[0m [170]	train-mlogloss:1.03703	validation-mlogloss:1.04000
[36m(train_xgb_ray_tune pid=2298212)[0m [178]	train-mlogloss:1.05208	validation-mlogloss:1.04948
[36m(train_xgb_ray_tune pid=2298201)[0m [160]	train-mlogloss:1.05707	validation-mlogloss:1.05675
[36m(train_xgb_ray_tune pid=2298205)[0m [184]	train-mlogloss:1.05038	validation-mlogloss:1.04708
[36m(train_xgb_ray_tune pid=2298215)[0m [174]	train-mlogloss:1.09419	validation-mlogloss:1.08934
[36m(train_xgb_ray_tune pid=2298213)[0m [154]	train-mlogloss:1.15962	validation-mlogloss:1.15362
[36m(train_xgb_ray_tune pid=2298199)[0m [158]	train-mlogloss:1.13582	validation-mlogloss:1.12977
[36m(train_xgb_ray_tune pid=2298203)[0m [208]	train-mlogloss:1.17785	validation-mlogloss:1.17471
[36m(train_xgb_ray_tune pid=2298197)[0m [150]	train-mlogloss:1.03172	validation-mlogloss:1.03639
[36m(train_xgb_ray_tune pid=2298217)[0m [162]	train-mlogloss:0.98296	validation-mlogloss:0.99769
[36m(train_xgb_ray_tune pid=2298195)[0m [227]	train-mlogloss:1.11545	validation-mlogloss:1.11316
[36m(train_xgb_ray_tune pid=2298181)[0m [159]	train-mlogloss:1.15012	validation-mlogloss:1.14967
[36m(train_xgb_ray_tune pid=2298187)[0m [207]	train-mlogloss:1.30112	validation-mlogloss:1.30078
[36m(train_xgb_ray_tune pid=2298198)[0m [203]	train-mlogloss:1.19166	validation-mlogloss:1.18962
[36m(train_xgb_ray_tune pid=2298196)[0m [179]	train-mlogloss:1.03073	validation-mlogloss:1.02981
[36m(train_xgb_ray_tune pid=2298200)[0m [187]	train-mlogloss:1.10264	validation-mlogloss:1.09980
[36m(train_xgb_ray_tune pid=2298202)[0m [171]	train-mlogloss:1.03623	validation-mlogloss:1.03939
[36m(train_xgb_ray_tune pid=2298212)[0m [179]	train-mlogloss:1.05170	validation-mlogloss:1.04912
[36m(train_xgb_ray_tune pid=2298205)[0m [185]	train-mlogloss:1.04987	validation-mlogloss:1.04663
[36m(train_xgb_ray_tune pid=2298215)[0m [175]	train-mlogloss:1.09338	validation-mlogloss:1.08856
[36m(train_xgb_ray_tune pid=2298199)[0m [159]	train-mlogloss:1.13503	validation-mlogloss:1.12901
[36m(train_xgb_ray_tune pid=2298203)[0m [209]	train-mlogloss:1.17747	validation-mlogloss:1.17438
[36m(train_xgb_ray_tune pid=2298214)[0m [148]	train-mlogloss:1.21275	validation-mlogloss:1.20773
[36m(train_xgb_ray_tune pid=2298197)[0m [151]	train-mlogloss:1.03089	validation-mlogloss:1.03560
[36m(train_xgb_ray_tune pid=2298217)[0m [163]	train-mlogloss:0.98236	validation-mlogloss:0.99725
[36m(train_xgb_ray_tune pid=2298195)[0m [228]	train-mlogloss:1.11488	validation-mlogloss:1.11278
[36m(train_xgb_ray_tune pid=2298181)[0m [160]	train-mlogloss:1.14912	validation-mlogloss:1.14867
[36m(train_xgb_ray_tune pid=2298187)[0m [208]	train-mlogloss:1.30098	validation-mlogloss:1.30063
[36m(train_xgb_ray_tune pid=2298187)[0m [209]	train-mlogloss:1.30082	validation-mlogloss:1.30048
[36m(train_xgb_ray_tune pid=2298198)[0m [204]	train-mlogloss:1.19153	validation-mlogloss:1.18952
[36m(train_xgb_ray_tune pid=2298198)[0m [205]	train-mlogloss:1.19141	validation-mlogloss:1.18940
[36m(train_xgb_ray_tune pid=2298189)[0m [139]	train-mlogloss:1.03966	validation-mlogloss:1.04387
[36m(train_xgb_ray_tune pid=2298196)[0m [180]	train-mlogloss:1.03034	validation-mlogloss:1.02956
[36m(train_xgb_ray_tune pid=2298196)[0m [181]	train-mlogloss:1.02987	validation-mlogloss:1.02907
[36m(train_xgb_ray_tune pid=2298200)[0m [188]	train-mlogloss:1.10197	validation-mlogloss:1.09925
[36m(train_xgb_ray_tune pid=2298202)[0m [172]	train-mlogloss:1.03554	validation-mlogloss:1.03872
[36m(train_xgb_ray_tune pid=2298212)[0m [180]	train-mlogloss:1.05126	validation-mlogloss:1.04883
[36m(train_xgb_ray_tune pid=2298212)[0m [181]	train-mlogloss:1.05082	validation-mlogloss:1.04833
[36m(train_xgb_ray_tune pid=2298201)[0m [161]	train-mlogloss:1.05619	validation-mlogloss:1.05601
[36m(train_xgb_ray_tune pid=2298201)[0m [162]	train-mlogloss:1.05537	validation-mlogloss:1.05517
[36m(train_xgb_ray_tune pid=2298205)[0m [186]	train-mlogloss:1.04923	validation-mlogloss:1.04590
[36m(train_xgb_ray_tune pid=2298205)[0m [187]	train-mlogloss:1.04871	validation-mlogloss:1.04546
[36m(train_xgb_ray_tune pid=2298215)[0m [176]	train-mlogloss:1.09271	validation-mlogloss:1.08799
[36m(train_xgb_ray_tune pid=2298215)[0m [177]	train-mlogloss:1.09200	validation-mlogloss:1.08720
[36m(train_xgb_ray_tune pid=2298213)[0m [155]	train-mlogloss:1.15878	validation-mlogloss:1.15293
[36m(train_xgb_ray_tune pid=2298199)[0m [160]	train-mlogloss:1.13423	validation-mlogloss:1.12821
[36m(train_xgb_ray_tune pid=2298203)[0m [210]	train-mlogloss:1.17709	validation-mlogloss:1.17401
[36m(train_xgb_ray_tune pid=2298203)[0m [211]	train-mlogloss:1.17670	validation-mlogloss:1.17366
[36m(train_xgb_ray_tune pid=2298214)[0m [149]	train-mlogloss:1.21219	validation-mlogloss:1.20709
[36m(train_xgb_ray_tune pid=2298214)[0m [150]	train-mlogloss:1.21157	validation-mlogloss:1.20637
[36m(train_xgb_ray_tune pid=2298197)[0m [152]	train-mlogloss:1.03012	validation-mlogloss:1.03489
[36m(train_xgb_ray_tune pid=2298217)[0m [164]	train-mlogloss:0.98178	validation-mlogloss:0.99686
[36m(train_xgb_ray_tune pid=2298195)[0m [229]	train-mlogloss:1.11436	validation-mlogloss:1.11236
[36m(train_xgb_ray_tune pid=2298181)[0m [161]	train-mlogloss:1.14822	validation-mlogloss:1.14780
[36m(train_xgb_ray_tune pid=2298187)[0m [210]	train-mlogloss:1.30082	validation-mlogloss:1.30048
[36m(train_xgb_ray_tune pid=2298198)[0m [206]	train-mlogloss:1.19129	validation-mlogloss:1.18932
[36m(train_xgb_ray_tune pid=2298189)[0m [140]	train-mlogloss:1.03866	validation-mlogloss:1.04294
[36m(train_xgb_ray_tune pid=2298189)[0m [141]	train-mlogloss:1.03772	validation-mlogloss:1.04209
[36m(train_xgb_ray_tune pid=2298196)[0m [182]	train-mlogloss:1.02965	validation-mlogloss:1.02892
[36m(train_xgb_ray_tune pid=2298200)[0m [189]	train-mlogloss:1.10127	validation-mlogloss:1.09848
[36m(train_xgb_ray_tune pid=2298202)[0m [173]	train-mlogloss:1.03493	validation-mlogloss:1.03824
[36m(train_xgb_ray_tune pid=2298202)[0m [174]	train-mlogloss:1.03420	validation-mlogloss:1.03774
[36m(train_xgb_ray_tune pid=2298212)[0m [182]	train-mlogloss:1.05033	validation-mlogloss:1.04810
[36m(train_xgb_ray_tune pid=2298201)[0m [163]	train-mlogloss:1.05477	validation-mlogloss:1.05469
[36m(train_xgb_ray_tune pid=2298205)[0m [188]	train-mlogloss:1.04813	validation-mlogloss:1.04486
[36m(train_xgb_ray_tune pid=2298215)[0m [178]	train-mlogloss:1.09135	validation-mlogloss:1.08675
[36m(train_xgb_ray_tune pid=2298213)[0m [156]	train-mlogloss:1.15792	validation-mlogloss:1.15204
[36m(train_xgb_ray_tune pid=2298199)[0m [161]	train-mlogloss:1.13340	validation-mlogloss:1.12734
[36m(train_xgb_ray_tune pid=2298203)[0m [212]	train-mlogloss:1.17630	validation-mlogloss:1.17329
[36m(train_xgb_ray_tune pid=2298214)[0m [151]	train-mlogloss:1.21095	validation-mlogloss:1.20587
[36m(train_xgb_ray_tune pid=2298197)[0m [153]	train-mlogloss:1.02933	validation-mlogloss:1.03426
[36m(train_xgb_ray_tune pid=2298217)[0m [165]	train-mlogloss:0.98112	validation-mlogloss:0.99646
[36m(train_xgb_ray_tune pid=2298217)[0m [166]	train-mlogloss:0.98036	validation-mlogloss:0.99583
[36m(train_xgb_ray_tune pid=2298195)[0m [230]	train-mlogloss:1.11382	validation-mlogloss:1.11184
[36m(train_xgb_ray_tune pid=2298195)[0m [231]	train-mlogloss:1.11332	validation-mlogloss:1.11132
[36m(train_xgb_ray_tune pid=2298181)[0m [162]	train-mlogloss:1.14731	validation-mlogloss:1.14689
[36m(train_xgb_ray_tune pid=2298187)[0m [211]	train-mlogloss:1.30067	validation-mlogloss:1.30032
[36m(train_xgb_ray_tune pid=2298187)[0m [212]	train-mlogloss:1.30053	validation-mlogloss:1.30018
[36m(train_xgb_ray_tune pid=2298198)[0m [207]	train-mlogloss:1.19117	validation-mlogloss:1.18915
[36m(train_xgb_ray_tune pid=2298198)[0m [208]	train-mlogloss:1.19094	validation-mlogloss:1.18889
[36m(train_xgb_ray_tune pid=2298189)[0m [142]	train-mlogloss:1.03673	validation-mlogloss:1.04125
[36m(train_xgb_ray_tune pid=2298196)[0m [183]	train-mlogloss:1.02910	validation-mlogloss:1.02844
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[36m(train_xgb_ray_tune pid=2298200)[0m [190]	train-mlogloss:1.10071	validation-mlogloss:1.09789
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[36m(train_xgb_ray_tune pid=2298215)[0m [255]	train-mlogloss:1.05210	validation-mlogloss:1.05108
[36m(train_xgb_ray_tune pid=2298213)[0m [216]	train-mlogloss:1.11362	validation-mlogloss:1.10827
[36m(train_xgb_ray_tune pid=2298199)[0m [224]	train-mlogloss:1.09237	validation-mlogloss:1.08718
[36m(train_xgb_ray_tune pid=2298203)[0m [306]	train-mlogloss:1.14461	validation-mlogloss:1.14248
[36m(train_xgb_ray_tune pid=2298203)[0m [307]	train-mlogloss:1.14430	validation-mlogloss:1.14215
[36m(train_xgb_ray_tune pid=2298214)[0m [221]	train-mlogloss:1.17227	validation-mlogloss:1.16610
[36m(train_xgb_ray_tune pid=2298197)[0m [218]	train-mlogloss:0.99180	validation-mlogloss:1.00332
[36m(train_xgb_ray_tune pid=2298217)[0m [238]	train-mlogloss:0.95170	validation-mlogloss:0.97656
[36m(train_xgb_ray_tune pid=2298181)[0m [209]	train-mlogloss:1.10907	validation-mlogloss:1.11003
[36m(train_xgb_ray_tune pid=2298189)[0m [209]	train-mlogloss:0.99082	validation-mlogloss:1.00273
[36m(train_xgb_ray_tune pid=2298200)[0m [262]	train-mlogloss:1.06383	validation-mlogloss:1.06365
[36m(train_xgb_ray_tune pid=2298202)[0m [246]	train-mlogloss:0.99512	validation-mlogloss:1.00502
[36m(train_xgb_ray_tune pid=2298202)[0m [247]	train-mlogloss:0.99478	validation-mlogloss:1.00486
[36m(train_xgb_ray_tune pid=2298212)[0m [271]	train-mlogloss:1.01882	validation-mlogloss:1.02114
[36m(train_xgb_ray_tune pid=2298212)[0m [272]	train-mlogloss:1.01862	validation-mlogloss:1.02095
[36m(train_xgb_ray_tune pid=2298201)[0m [232]	train-mlogloss:1.01943	validation-mlogloss:1.02273
[36m(train_xgb_ray_tune pid=2298201)[0m [233]	train-mlogloss:1.01913	validation-mlogloss:1.02246
[36m(train_xgb_ray_tune pid=2298205)[0m [270]	train-mlogloss:1.01649	validation-mlogloss:1.01773
[36m(train_xgb_ray_tune pid=2298205)[0m [271]	train-mlogloss:1.01628	validation-mlogloss:1.01753
[36m(train_xgb_ray_tune pid=2298215)[0m [256]	train-mlogloss:1.05159	validation-mlogloss:1.05077
[36m(train_xgb_ray_tune pid=2298215)[0m [257]	train-mlogloss:1.05118	validation-mlogloss:1.05037
[36m(train_xgb_ray_tune pid=2298199)[0m [225]	train-mlogloss:1.09188	validation-mlogloss:1.08674
[36m(train_xgb_ray_tune pid=2298203)[0m [308]	train-mlogloss:1.14404	validation-mlogloss:1.14193
[36m(train_xgb_ray_tune pid=2298203)[0m [309]	train-mlogloss:1.14377	validation-mlogloss:1.14166
[36m(train_xgb_ray_tune pid=2298214)[0m [222]	train-mlogloss:1.17193	validation-mlogloss:1.16579
[36m(train_xgb_ray_tune pid=2298214)[0m [223]	train-mlogloss:1.17150	validation-mlogloss:1.16537
[36m(train_xgb_ray_tune pid=2298197)[0m [219]	train-mlogloss:0.99136	validation-mlogloss:1.00283
[36m(train_xgb_ray_tune pid=2298197)[0m [220]	train-mlogloss:0.99102	validation-mlogloss:1.00273
[36m(train_xgb_ray_tune pid=2298217)[0m [239]	train-mlogloss:0.95154	validation-mlogloss:0.97637
[36m(train_xgb_ray_tune pid=2298217)[0m [240]	train-mlogloss:0.95124	validation-mlogloss:0.97607
[36m(train_xgb_ray_tune pid=2298195)[0m [308]	train-mlogloss:1.07680	validation-mlogloss:1.07519
[36m(train_xgb_ray_tune pid=2298181)[0m [210]	train-mlogloss:1.10837	validation-mlogloss:1.10930
[36m(train_xgb_ray_tune pid=2298189)[0m [210]	train-mlogloss:0.99024	validation-mlogloss:1.00236
[36m(train_xgb_ray_tune pid=2298189)[0m [211]	train-mlogloss:0.98985	validation-mlogloss:1.00213
[36m(train_xgb_ray_tune pid=2298200)[0m [263]	train-mlogloss:1.06347	validation-mlogloss:1.06333
[36m(train_xgb_ray_tune pid=2298200)[0m [264]	train-mlogloss:1.06311	validation-mlogloss:1.06294
[36m(train_xgb_ray_tune pid=2298202)[0m [248]	train-mlogloss:0.99441	validation-mlogloss:1.00462
[36m(train_xgb_ray_tune pid=2298212)[0m [273]	train-mlogloss:1.01835	validation-mlogloss:1.02070
[36m(train_xgb_ray_tune pid=2298212)[0m [274]	train-mlogloss:1.01813	validation-mlogloss:1.02039
[36m(train_xgb_ray_tune pid=2298201)[0m [234]	train-mlogloss:1.01879	validation-mlogloss:1.02212
[36m(train_xgb_ray_tune pid=2298205)[0m [272]	train-mlogloss:1.01599	validation-mlogloss:1.01729
[36m(train_xgb_ray_tune pid=2298215)[0m [258]	train-mlogloss:1.05084	validation-mlogloss:1.05011
[36m(train_xgb_ray_tune pid=2298213)[0m [217]	train-mlogloss:1.11307	validation-mlogloss:1.10781
[36m(train_xgb_ray_tune pid=2298199)[0m [226]	train-mlogloss:1.09131	validation-mlogloss:1.08613
[36m(train_xgb_ray_tune pid=2298199)[0m [227]	train-mlogloss:1.09080	validation-mlogloss:1.08566
[36m(train_xgb_ray_tune pid=2298203)[0m [310]	train-mlogloss:1.14355	validation-mlogloss:1.14143
[36m(train_xgb_ray_tune pid=2298214)[0m [224]	train-mlogloss:1.17102	validation-mlogloss:1.16498
[36m(train_xgb_ray_tune pid=2298197)[0m [221]	train-mlogloss:0.99065	validation-mlogloss:1.00247
[36m(train_xgb_ray_tune pid=2298197)[0m [222]	train-mlogloss:0.99023	validation-mlogloss:1.00213
[36m(train_xgb_ray_tune pid=2298217)[0m [241]	train-mlogloss:0.95097	validation-mlogloss:0.97590
[36m(train_xgb_ray_tune pid=2298217)[0m [242]	train-mlogloss:0.95065	validation-mlogloss:0.97569
[36m(train_xgb_ray_tune pid=2298195)[0m [309]	train-mlogloss:1.07639	validation-mlogloss:1.07482
[36m(train_xgb_ray_tune pid=2298195)[0m [310]	train-mlogloss:1.07602	validation-mlogloss:1.07461
[36m(train_xgb_ray_tune pid=2298181)[0m [211]	train-mlogloss:1.10767	validation-mlogloss:1.10861
[36m(train_xgb_ray_tune pid=2298189)[0m [212]	train-mlogloss:0.98935	validation-mlogloss:1.00183
[36m(train_xgb_ray_tune pid=2298200)[0m [265]	train-mlogloss:1.06269	validation-mlogloss:1.06253
[36m(train_xgb_ray_tune pid=2298202)[0m [249]	train-mlogloss:0.99408	validation-mlogloss:1.00431
[36m(train_xgb_ray_tune pid=2298202)[0m [250]	train-mlogloss:0.99356	validation-mlogloss:1.00396
[36m(train_xgb_ray_tune pid=2298212)[0m [275]	train-mlogloss:1.01794	validation-mlogloss:1.02014
[36m(train_xgb_ray_tune pid=2298212)[0m [276]	train-mlogloss:1.01775	validation-mlogloss:1.01986
[36m(train_xgb_ray_tune pid=2298201)[0m [235]	train-mlogloss:1.01835	validation-mlogloss:1.02171
[36m(train_xgb_ray_tune pid=2298205)[0m [273]	train-mlogloss:1.01577	validation-mlogloss:1.01712
[36m(train_xgb_ray_tune pid=2298205)[0m [274]	train-mlogloss:1.01551	validation-mlogloss:1.01693
[36m(train_xgb_ray_tune pid=2298215)[0m [259]	train-mlogloss:1.05055	validation-mlogloss:1.04988
[36m(train_xgb_ray_tune pid=2298215)[0m [260]	train-mlogloss:1.05021	validation-mlogloss:1.04967
[36m(train_xgb_ray_tune pid=2298213)[0m [218]	train-mlogloss:1.11235	validation-mlogloss:1.10709
[36m(train_xgb_ray_tune pid=2298199)[0m [228]	train-mlogloss:1.09030	validation-mlogloss:1.08504
[36m(train_xgb_ray_tune pid=2298203)[0m [311]	train-mlogloss:1.14332	validation-mlogloss:1.14120
[36m(train_xgb_ray_tune pid=2298203)[0m [312]	train-mlogloss:1.14307	validation-mlogloss:1.14098
[36m(train_xgb_ray_tune pid=2298214)[0m [225]	train-mlogloss:1.17069	validation-mlogloss:1.16464
[36m(train_xgb_ray_tune pid=2298197)[0m [223]	train-mlogloss:0.98982	validation-mlogloss:1.00176
[36m(train_xgb_ray_tune pid=2298217)[0m [243]	train-mlogloss:0.95039	validation-mlogloss:0.97551
[36m(train_xgb_ray_tune pid=2298195)[0m [311]	train-mlogloss:1.07566	validation-mlogloss:1.07434
[36m(train_xgb_ray_tune pid=2298181)[0m [212]	train-mlogloss:1.10698	validation-mlogloss:1.10793
[36m(train_xgb_ray_tune pid=2298189)[0m [213]	train-mlogloss:0.98879	validation-mlogloss:1.00137
[36m(train_xgb_ray_tune pid=2298200)[0m [266]	train-mlogloss:1.06230	validation-mlogloss:1.06222
[36m(train_xgb_ray_tune pid=2298212)[0m [277]	train-mlogloss:1.01756	validation-mlogloss:1.01960
[36m(train_xgb_ray_tune pid=2298201)[0m [236]	train-mlogloss:1.01803	validation-mlogloss:1.02145
[36m(train_xgb_ray_tune pid=2298215)[0m [261]	train-mlogloss:1.04990	validation-mlogloss:1.04930
[36m(train_xgb_ray_tune pid=2298213)[0m [219]	train-mlogloss:1.11173	validation-mlogloss:1.10646
[36m(train_xgb_ray_tune pid=2298214)[0m [226]	train-mlogloss:1.17035	validation-mlogloss:1.16430
[36m(train_xgb_ray_tune pid=2298197)[0m [224]	train-mlogloss:0.98947	validation-mlogloss:1.00150
[36m(train_xgb_ray_tune pid=2298217)[0m [244]	train-mlogloss:0.95016	validation-mlogloss:0.97527
[36m(train_xgb_ray_tune pid=2298181)[0m [213]	train-mlogloss:1.10622	validation-mlogloss:1.10713
[36m(train_xgb_ray_tune pid=2298189)[0m [214]	train-mlogloss:0.98836	validation-mlogloss:1.00097
[36m(train_xgb_ray_tune pid=2298200)[0m [267]	train-mlogloss:1.06189	validation-mlogloss:1.06186
[36m(train_xgb_ray_tune pid=2298202)[0m [251]	train-mlogloss:0.99316	validation-mlogloss:1.00364
[36m(train_xgb_ray_tune pid=2298212)[0m [278]	train-mlogloss:1.01738	validation-mlogloss:1.01958
[36m(train_xgb_ray_tune pid=2298201)[0m [237]	train-mlogloss:1.01767	validation-mlogloss:1.02114
[36m(train_xgb_ray_tune pid=2298205)[0m [275]	train-mlogloss:1.01526	validation-mlogloss:1.01689
[36m(train_xgb_ray_tune pid=2298213)[0m [220]	train-mlogloss:1.11120	validation-mlogloss:1.10602
[36m(train_xgb_ray_tune pid=2298199)[0m [229]	train-mlogloss:1.08984	validation-mlogloss:1.08453
[36m(train_xgb_ray_tune pid=2298203)[0m [313]	train-mlogloss:1.14285	validation-mlogloss:1.14075
[36m(train_xgb_ray_tune pid=2298214)[0m [227]	train-mlogloss:1.16986	validation-mlogloss:1.16379
[36m(train_xgb_ray_tune pid=2298195)[0m [312]	train-mlogloss:1.07527	validation-mlogloss:1.07399
[36m(train_xgb_ray_tune pid=2298212)[0m [279]	train-mlogloss:1.01703	validation-mlogloss:1.01930
[36m(train_xgb_ray_tune pid=2298205)[0m [276]	train-mlogloss:1.01503	validation-mlogloss:1.01666
[36m(train_xgb_ray_tune pid=2298215)[0m [262]	train-mlogloss:1.04962	validation-mlogloss:1.04908
[36m(train_xgb_ray_tune pid=2298203)[0m [314]	train-mlogloss:1.14260	validation-mlogloss:1.14049
[36m(train_xgb_ray_tune pid=2298197)[0m [225]	train-mlogloss:0.98912	validation-mlogloss:1.00125
[36m(train_xgb_ray_tune pid=2298217)[0m [245]	train-mlogloss:0.95002	validation-mlogloss:0.97520
[36m(train_xgb_ray_tune pid=2298195)[0m [313]	train-mlogloss:1.07486	validation-mlogloss:1.07352
[36m(train_xgb_ray_tune pid=2298189)[0m [215]	train-mlogloss:0.98795	validation-mlogloss:1.00076

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:12. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             6.97828 │
│ time_total_s                 6.97828 │
│ training_iteration                 1 │
│ validation_accuracy           0.4698 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298213)[0m [221]	train-mlogloss:1.11054	validation-mlogloss:1.10536
[36m(train_xgb_ray_tune pid=2298199)[0m [230]	train-mlogloss:1.08933	validation-mlogloss:1.08406
[36m(train_xgb_ray_tune pid=2298203)[0m [315]	train-mlogloss:1.14231	validation-mlogloss:1.14024
[36m(train_xgb_ray_tune pid=2298214)[0m [228]	train-mlogloss:1.16950	validation-mlogloss:1.16351
[36m(train_xgb_ray_tune pid=2298217)[0m [246]	train-mlogloss:0.94978	validation-mlogloss:0.97506
[36m(train_xgb_ray_tune pid=2298195)[0m [314]	train-mlogloss:1.07450	validation-mlogloss:1.07321
[36m(train_xgb_ray_tune pid=2298181)[0m [214]	train-mlogloss:1.10554	validation-mlogloss:1.10643
[36m(train_xgb_ray_tune pid=2298189)[0m [216]	train-mlogloss:0.98755	validation-mlogloss:1.00063
[36m(train_xgb_ray_tune pid=2298200)[0m [269]	train-mlogloss:1.06108	validation-mlogloss:1.06115
[36m(train_xgb_ray_tune pid=2298202)[0m [253]	train-mlogloss:0.99247	validation-mlogloss:1.00318

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:12. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298201)[0m [239]	train-mlogloss:1.01689	validation-mlogloss:1.02056
[36m(train_xgb_ray_tune pid=2298205)[0m [278]	train-mlogloss:1.01455	validation-mlogloss:1.01629
[36m(train_xgb_ray_tune pid=2298215)[0m [264]	train-mlogloss:1.04896	validation-mlogloss:1.04844
[36m(train_xgb_ray_tune pid=2298213)[0m [222]	train-mlogloss:1.10997	validation-mlogloss:1.10493
[36m(train_xgb_ray_tune pid=2298199)[0m [231]	train-mlogloss:1.08877	validation-mlogloss:1.08344
[36m(train_xgb_ray_tune pid=2298203)[0m [316]	train-mlogloss:1.14198	validation-mlogloss:1.13990
[36m(train_xgb_ray_tune pid=2298214)[0m [229]	train-mlogloss:1.16908	validation-mlogloss:1.16314
[36m(train_xgb_ray_tune pid=2298197)[0m [226]	train-mlogloss:0.98868	validation-mlogloss:1.00088
[36m(train_xgb_ray_tune pid=2298217)[0m [247]	train-mlogloss:0.94954	validation-mlogloss:0.97491
[36m(train_xgb_ray_tune pid=2298195)[0m [315]	train-mlogloss:1.07410	validation-mlogloss:1.07300
[36m(train_xgb_ray_tune pid=2298181)[0m [215]	train-mlogloss:1.10492	validation-mlogloss:1.10591
[36m(train_xgb_ray_tune pid=2298189)[0m [217]	train-mlogloss:0.98710	validation-mlogloss:1.00015
[36m(train_xgb_ray_tune pid=2298200)[0m [270]	train-mlogloss:1.06067	validation-mlogloss:1.06077
[36m(train_xgb_ray_tune pid=2298202)[0m [254]	train-mlogloss:0.99212	validation-mlogloss:1.00287
[36m(train_xgb_ray_tune pid=2298202)[0m [255]	train-mlogloss:0.99176	validation-mlogloss:1.00266

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:12. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.36374 │
│ time_total_s                 7.36374 │
│ training_iteration                 1 │
│ validation_accuracy          0.51334 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298212)[0m [281]	train-mlogloss:1.01668	validation-mlogloss:1.01896
[36m(train_xgb_ray_tune pid=2298212)[0m [282]	train-mlogloss:1.01668	validation-mlogloss:1.01895
[36m(train_xgb_ray_tune pid=2298201)[0m [240]	train-mlogloss:1.01652	validation-mlogloss:1.02027
[36m(train_xgb_ray_tune pid=2298205)[0m [279]	train-mlogloss:1.01426	validation-mlogloss:1.01603
[36m(train_xgb_ray_tune pid=2298205)[0m [280]	train-mlogloss:1.01397	validation-mlogloss:1.01575
[36m(train_xgb_ray_tune pid=2298215)[0m [265]	train-mlogloss:1.04874	validation-mlogloss:1.04824
[36m(train_xgb_ray_tune pid=2298213)[0m [223]	train-mlogloss:1.10931	validation-mlogloss:1.10418
[36m(train_xgb_ray_tune pid=2298199)[0m [232]	train-mlogloss:1.08829	validation-mlogloss:1.08292
[36m(train_xgb_ray_tune pid=2298203)[0m [317]	train-mlogloss:1.14174	validation-mlogloss:1.13972
[36m(train_xgb_ray_tune pid=2298214)[0m [230]	train-mlogloss:1.16876	validation-mlogloss:1.16280
[36m(train_xgb_ray_tune pid=2298197)[0m [227]	train-mlogloss:0.98835	validation-mlogloss:1.00062
[36m(train_xgb_ray_tune pid=2298197)[0m [228]	train-mlogloss:0.98795	validation-mlogloss:1.00022
[36m(train_xgb_ray_tune pid=2298217)[0m [248]	train-mlogloss:0.94939	validation-mlogloss:0.97480
[36m(train_xgb_ray_tune pid=2298217)[0m [249]	train-mlogloss:0.94916	validation-mlogloss:0.97470
Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:12. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.37062 │
│ time_total_s                 7.37062 │
│ training_iteration                 1 │
│ validation_accuracy           0.6092 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298195)[0m [316]	train-mlogloss:1.07367	validation-mlogloss:1.07259
[36m(train_xgb_ray_tune pid=2298195)[0m [317]	train-mlogloss:1.07327	validation-mlogloss:1.07219
[36m(train_xgb_ray_tune pid=2298181)[0m [216]	train-mlogloss:1.10421	validation-mlogloss:1.10521
[36m(train_xgb_ray_tune pid=2298189)[0m [218]	train-mlogloss:0.98664	validation-mlogloss:0.99975
[36m(train_xgb_ray_tune pid=2298200)[0m [271]	train-mlogloss:1.06015	validation-mlogloss:1.06017
[36m(train_xgb_ray_tune pid=2298212)[0m [283]	train-mlogloss:1.01649	validation-mlogloss:1.01883
[36m(train_xgb_ray_tune pid=2298201)[0m [241]	train-mlogloss:1.01614	validation-mlogloss:1.01986
[36m(train_xgb_ray_tune pid=2298201)[0m [242]	train-mlogloss:1.01578	validation-mlogloss:1.01952
[36m(train_xgb_ray_tune pid=2298205)[0m [281]	train-mlogloss:1.01374	validation-mlogloss:1.01567
[36m(train_xgb_ray_tune pid=2298215)[0m [266]	train-mlogloss:1.04830	validation-mlogloss:1.04795
[36m(train_xgb_ray_tune pid=2298215)[0m [267]	train-mlogloss:1.04799	validation-mlogloss:1.04758

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:12. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298213)[0m [224]	train-mlogloss:1.10874	validation-mlogloss:1.10357
[36m(train_xgb_ray_tune pid=2298199)[0m [233]	train-mlogloss:1.08780	validation-mlogloss:1.08254
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�O���hv��ɧޚV�v9�%@��@���Y����a�faw����|`�ZR�9��4]	t1�\�o�\�o�-\�o�-\�oR���o���������.\�o�����2�1�oR���o�.\�o�0\�o��\�ologh2\�o��\�op4\�o�4\�o�5\�o��\�o�5\�o�7\�o��\�o�y\�o W:1.018lition-mlogloss:1.05037[0m [2�\�o�\�o"�ģ�o����.x)3.x)��&y156.35.152.62:[36m(train_xgb_ray_tune pid=2298203)[0m [318]	train-mlogloss:1.14136	validation-mlogloss:1.13939
[36m(train_xgb_ray_tune pid=2298203)[0m [319]	train-mlogloss:1.14107	validation-mlogloss:1.13910
Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:12. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298214)[0m [231]	train-mlogloss:1.16840	validation-mlogloss:1.16244
[36m(train_xgb_ray_tune pid=2298214)[0m [232]	train-mlogloss:1.16812	validation-mlogloss:1.16218
[36m(train_xgb_ray_tune pid=2298197)[0m [229]	train-mlogloss:0.98765	validation-mlogloss:0.99995
[36m(train_xgb_ray_tune pid=2298197)[0m [230]	train-mlogloss:0.98717	validation-mlogloss:0.99941
[36m(train_xgb_ray_tune pid=2298217)[0m [250]	train-mlogloss:0.94897	validation-mlogloss:0.97457
[36m(train_xgb_ray_tune pid=2298195)[0m [318]	train-mlogloss:1.07288	validation-mlogloss:1.07174
[36m(train_xgb_ray_tune pid=2298181)[0m [217]	train-mlogloss:1.10343	validation-mlogloss:1.10449
[36m(train_xgb_ray_tune pid=2298189)[0m [219]	train-mlogloss:0.98611	validation-mlogloss:0.99944
[36m(train_xgb_ray_tune pid=2298189)[0m [220]	train-mlogloss:0.98569	validation-mlogloss:0.99916
[36m(train_xgb_ray_tune pid=2298200)[0m [272]	train-mlogloss:1.05978	validation-mlogloss:1.05985
[36m(train_xgb_ray_tune pid=2298200)[0m [273]	train-mlogloss:1.05942	validation-mlogloss:1.05960
[36m(train_xgb_ray_tune pid=2298202)[0m [256]	train-mlogloss:0.99140	validation-mlogloss:1.00242
[36m(train_xgb_ray_tune pid=2298202)[0m [257]	train-mlogloss:0.99109	validation-mlogloss:1.00220
[36m(train_xgb_ray_tune pid=2298202)[0m [258]	train-mlogloss:0.99074	validation-mlogloss:1.00189
[36m(train_xgb_ray_tune pid=2298212)[0m [284]	train-mlogloss:1.01632	validation-mlogloss:1.01858
[36m(train_xgb_ray_tune pid=2298212)[0m [285]	train-mlogloss:1.01613	validation-mlogloss:1.01852
[36m(train_xgb_ray_tune pid=2298212)[0m [286]	train-mlogloss:1.01595	validation-mlogloss:1.01826
[36m(train_xgb_ray_tune pid=2298201)[0m [243]	train-mlogloss:1.01553	validation-mlogloss:1.01940
[36m(train_xgb_ray_tune pid=2298201)[0m [244]	train-mlogloss:1.01522	validation-mlogloss:1.01919
[36m(train_xgb_ray_tune pid=2298201)[0m [245]	train-mlogloss:1.01486	validation-mlogloss:1.01880
[36m(train_xgb_ray_tune pid=2298205)[0m [282]	train-mlogloss:1.01348	validation-mlogloss:1.01548
[36m(train_xgb_ray_tune pid=2298205)[0m [283]	train-mlogloss:1.01328	validation-mlogloss:1.01538
[36m(train_xgb_ray_tune pid=2298205)[0m [284]	train-mlogloss:1.01299	validation-mlogloss:1.01521
[36m(train_xgb_ray_tune pid=2298215)[0m [268]	train-mlogloss:1.04759	validation-mlogloss:1.04722
[36m(train_xgb_ray_tune pid=2298215)[0m [269]	train-mlogloss:1.04735	validation-mlogloss:1.04705
[36m(train_xgb_ray_tune pid=2298213)[0m [225]	train-mlogloss:1.10816	validation-mlogloss:1.10292
[36m(train_xgb_ray_tune pid=2298213)[0m [226]	train-mlogloss:1.10759	validation-mlogloss:1.10240
[36m(train_xgb_ray_tune pid=2298199)[0m [234]	train-mlogloss:1.08737	validation-mlogloss:1.08209
[36m(train_xgb_ray_tune pid=2298199)[0m [235]	train-mlogloss:1.08682	validation-mlogloss:1.08160
[36m(train_xgb_ray_tune pid=2298203)[0m [320]	train-mlogloss:1.14084	validation-mlogloss:1.13888
[36m(train_xgb_ray_tune pid=2298203)[0m [321]	train-mlogloss:1.14052	validation-mlogloss:1.13860
[36m(train_xgb_ray_tune pid=2298203)[0m [322]	train-mlogloss:1.14030	validation-mlogloss:1.13841
[36m(train_xgb_ray_tune pid=2298214)[0m [233]	train-mlogloss:1.16772	validation-mlogloss:1.16179
[36m(train_xgb_ray_tune pid=2298214)[0m [234]	train-mlogloss:1.16726	validation-mlogloss:1.16140
[36m(train_xgb_ray_tune pid=2298197)[0m [231]	train-mlogloss:0.98682	validation-mlogloss:0.99905
[36m(train_xgb_ray_tune pid=2298197)[0m [232]	train-mlogloss:0.98647	validation-mlogloss:0.99889
[36m(train_xgb_ray_tune pid=2298217)[0m [251]	train-mlogloss:0.94869	validation-mlogloss:0.97446
[36m(train_xgb_ray_tune pid=2298217)[0m [252]	train-mlogloss:0.94853	validation-mlogloss:0.97434
[36m(train_xgb_ray_tune pid=2298195)[0m [319]	train-mlogloss:1.07252	validation-mlogloss:1.07133
[36m(train_xgb_ray_tune pid=2298181)[0m [218]	train-mlogloss:1.10274	validation-mlogloss:1.10384
[36m(train_xgb_ray_tune pid=2298181)[0m [219]	train-mlogloss:1.10211	validation-mlogloss:1.10329
[36m(train_xgb_ray_tune pid=2298189)[0m [221]	train-mlogloss:0.98527	validation-mlogloss:0.99877
[36m(train_xgb_ray_tune pid=2298189)[0m [222]	train-mlogloss:0.98473	validation-mlogloss:0.99833
[36m(train_xgb_ray_tune pid=2298189)[0m [223]	train-mlogloss:0.98424	validation-mlogloss:0.99790
[36m(train_xgb_ray_tune pid=2298200)[0m [274]	train-mlogloss:1.05906	validation-mlogloss:1.05934
[36m(train_xgb_ray_tune pid=2298200)[0m [275]	train-mlogloss:1.05865	validation-mlogloss:1.05899
[36m(train_xgb_ray_tune pid=2298202)[0m [259]	train-mlogloss:0.99043	validation-mlogloss:1.00166
[36m(train_xgb_ray_tune pid=2298202)[0m [260]	train-mlogloss:0.99013	validation-mlogloss:1.00147
[36m(train_xgb_ray_tune pid=2298202)[0m [261]	train-mlogloss:0.98986	validation-mlogloss:1.00122
[36m(train_xgb_ray_tune pid=2298212)[0m [287]	train-mlogloss:1.01577	validation-mlogloss:1.01802
[36m(train_xgb_ray_tune pid=2298212)[0m [288]	train-mlogloss:1.01559	validation-mlogloss:1.01789
[36m(train_xgb_ray_tune pid=2298212)[0m [289]	train-mlogloss:1.01551	validation-mlogloss:1.01785
[36m(train_xgb_ray_tune pid=2298201)[0m [246]	train-mlogloss:1.01462	validation-mlogloss:1.01858
[36m(train_xgb_ray_tune pid=2298201)[0m [247]	train-mlogloss:1.01423	validation-mlogloss:1.01829
[36m(train_xgb_ray_tune pid=2298205)[0m [285]	train-mlogloss:1.01278	validation-mlogloss:1.01502
[36m(train_xgb_ray_tune pid=2298205)[0m [286]	train-mlogloss:1.01260	validation-mlogloss:1.01490
[36m(train_xgb_ray_tune pid=2298215)[0m [270]	train-mlogloss:1.04701	validation-mlogloss:1.04669
[36m(train_xgb_ray_tune pid=2298215)[0m [271]	train-mlogloss:1.04666	validation-mlogloss:1.04633
[36m(train_xgb_ray_tune pid=2298213)[0m [227]	train-mlogloss:1.10702	validation-mlogloss:1.10183
[36m(train_xgb_ray_tune pid=2298213)[0m [228]	train-mlogloss:1.10643	validation-mlogloss:1.10128
[36m(train_xgb_ray_tune pid=2298199)[0m [236]	train-mlogloss:1.08635	validation-mlogloss:1.08113
[36m(train_xgb_ray_tune pid=2298199)[0m [237]	train-mlogloss:1.08587	validation-mlogloss:1.08077
[36m(train_xgb_ray_tune pid=2298203)[0m [323]	train-mlogloss:1.14004	validation-mlogloss:1.13816
[36m(train_xgb_ray_tune pid=2298203)[0m [324]	train-mlogloss:1.13973	validation-mlogloss:1.13779
[36m(train_xgb_ray_tune pid=2298214)[0m [235]	train-mlogloss:1.16693	validation-mlogloss:1.16107
[36m(train_xgb_ray_tune pid=2298214)[0m [236]	train-mlogloss:1.16645	validation-mlogloss:1.16066
[36m(train_xgb_ray_tune pid=2298197)[0m [233]	train-mlogloss:0.98613	validation-mlogloss:0.99853
[36m(train_xgb_ray_tune pid=2298197)[0m [234]	train-mlogloss:0.98573	validation-mlogloss:0.99826
[36m(train_xgb_ray_tune pid=2298217)[0m [253]	train-mlogloss:0.94835	validation-mlogloss:0.97419
[36m(train_xgb_ray_tune pid=2298195)[0m [320]	train-mlogloss:1.07212	validation-mlogloss:1.07094
[36m(train_xgb_ray_tune pid=2298195)[0m [321]	train-mlogloss:1.07173	validation-mlogloss:1.07058
[36m(train_xgb_ray_tune pid=2298189)[0m [224]	train-mlogloss:0.98389	validation-mlogloss:0.99758
[36m(train_xgb_ray_tune pid=2298200)[0m [276]	train-mlogloss:1.05828	validation-mlogloss:1.05868
[36m(train_xgb_ray_tune pid=2298202)[0m [262]	train-mlogloss:0.98950	validation-mlogloss:1.00102
[36m(train_xgb_ray_tune pid=2298212)[0m [290]	train-mlogloss:1.01516	validation-mlogloss:1.01758
[36m(train_xgb_ray_tune pid=2298201)[0m [248]	train-mlogloss:1.01386	validation-mlogloss:1.01794
[36m(train_xgb_ray_tune pid=2298205)[0m [287]	train-mlogloss:1.01241	validation-mlogloss:1.01477
[36m(train_xgb_ray_tune pid=2298215)[0m [272]	train-mlogloss:1.04638	validation-mlogloss:1.04615
[36m(train_xgb_ray_tune pid=2298213)[0m [229]	train-mlogloss:1.10598	validation-mlogloss:1.10091
[36m(train_xgb_ray_tune pid=2298199)[0m [238]	train-mlogloss:1.08538	validation-mlogloss:1.08030
[36m(train_xgb_ray_tune pid=2298203)[0m [325]	train-mlogloss:1.13948	validation-mlogloss:1.13752
[36m(train_xgb_ray_tune pid=2298203)[0m [326]	train-mlogloss:1.13919	validation-mlogloss:1.13719
[36m(train_xgb_ray_tune pid=2298214)[0m [237]	train-mlogloss:1.16606	validation-mlogloss:1.16024
[36m(train_xgb_ray_tune pid=2298197)[0m [235]	train-mlogloss:0.98545	validation-mlogloss:0.99803
[36m(train_xgb_ray_tune pid=2298217)[0m [254]	train-mlogloss:0.94814	validation-mlogloss:0.97409
[36m(train_xgb_ray_tune pid=2298217)[0m [255]	train-mlogloss:0.94784	validation-mlogloss:0.97390
[36m(train_xgb_ray_tune pid=2298195)[0m [322]	train-mlogloss:1.07131	validation-mlogloss:1.07008
[36m(train_xgb_ray_tune pid=2298181)[0m [220]	train-mlogloss:1.10146	validation-mlogloss:1.10277
[36m(train_xgb_ray_tune pid=2298189)[0m [225]	train-mlogloss:0.98340	validation-mlogloss:0.99726
[36m(train_xgb_ray_tune pid=2298189)[0m [226]	train-mlogloss:0.98307	validation-mlogloss:0.99704
[36m(train_xgb_ray_tune pid=2298200)[0m [277]	train-mlogloss:1.05795	validation-mlogloss:1.05846
[36m(train_xgb_ray_tune pid=2298200)[0m [278]	train-mlogloss:1.05765	validation-mlogloss:1.05826
[36m(train_xgb_ray_tune pid=2298202)[0m [263]	train-mlogloss:0.98925	validation-mlogloss:1.00090
[36m(train_xgb_ray_tune pid=2298212)[0m [291]	train-mlogloss:1.01496	validation-mlogloss:1.01738
[36m(train_xgb_ray_tune pid=2298201)[0m [249]	train-mlogloss:1.01356	validation-mlogloss:1.01759
[36m(train_xgb_ray_tune pid=2298201)[0m [250]	train-mlogloss:1.01330	validation-mlogloss:1.01735
[36m(train_xgb_ray_tune pid=2298205)[0m [288]	train-mlogloss:1.01221	validation-mlogloss:1.01460
[36m(train_xgb_ray_tune pid=2298205)[0m [289]	train-mlogloss:1.01198	validation-mlogloss:1.01436
[36m(train_xgb_ray_tune pid=2298215)[0m [273]	train-mlogloss:1.04600	validation-mlogloss:1.04577
[36m(train_xgb_ray_tune pid=2298215)[0m [274]	train-mlogloss:1.04577	validation-mlogloss:1.04567
[36m(train_xgb_ray_tune pid=2298213)[0m [230]	train-mlogloss:1.10542	validation-mlogloss:1.10037
[36m(train_xgb_ray_tune pid=2298199)[0m [239]	train-mlogloss:1.08492	validation-mlogloss:1.07979
[36m(train_xgb_ray_tune pid=2298203)[0m [327]	train-mlogloss:1.13899	validation-mlogloss:1.13705
[36m(train_xgb_ray_tune pid=2298214)[0m [238]	train-mlogloss:1.16573	validation-mlogloss:1.15987
[36m(train_xgb_ray_tune pid=2298197)[0m [236]	train-mlogloss:0.98500	validation-mlogloss:0.99777
[36m(train_xgb_ray_tune pid=2298217)[0m [256]	train-mlogloss:0.94756	validation-mlogloss:0.97377
[36m(train_xgb_ray_tune pid=2298195)[0m [323]	train-mlogloss:1.07093	validation-mlogloss:1.06974
[36m(train_xgb_ray_tune pid=2298181)[0m [221]	train-mlogloss:1.10083	validation-mlogloss:1.10217
[36m(train_xgb_ray_tune pid=2298202)[0m [264]	train-mlogloss:0.98901	validation-mlogloss:1.00085
[36m(train_xgb_ray_tune pid=2298212)[0m [292]	train-mlogloss:1.01478	validation-mlogloss:1.01712
[36m(train_xgb_ray_tune pid=2298201)[0m [251]	train-mlogloss:1.01295	validation-mlogloss:1.01704
[36m(train_xgb_ray_tune pid=2298213)[0m [231]	train-mlogloss:1.10487	validation-mlogloss:1.09989
[36m(train_xgb_ray_tune pid=2298214)[0m [239]	train-mlogloss:1.16534	validation-mlogloss:1.15945
[36m(train_xgb_ray_tune pid=2298197)[0m [237]	train-mlogloss:0.98467	validation-mlogloss:0.99755
[36m(train_xgb_ray_tune pid=2298217)[0m [257]	train-mlogloss:0.94741	validation-mlogloss:0.97377
[36m(train_xgb_ray_tune pid=2298195)[0m [324]	train-mlogloss:1.07057	validation-mlogloss:1.06950
[36m(train_xgb_ray_tune pid=2298181)[0m [222]	train-mlogloss:1.10009	validation-mlogloss:1.10138
[36m(train_xgb_ray_tune pid=2298200)[0m [279]	train-mlogloss:1.05730	validation-mlogloss:1.05798
[36m(train_xgb_ray_tune pid=2298202)[0m [265]	train-mlogloss:0.98877	validation-mlogloss:1.00063
[36m(train_xgb_ray_tune pid=2298212)[0m [293]	train-mlogloss:1.01460	validation-mlogloss:1.01700
[36m(train_xgb_ray_tune pid=2298201)[0m [252]	train-mlogloss:1.01267	validation-mlogloss:1.01679
[36m(train_xgb_ray_tune pid=2298205)[0m [290]	train-mlogloss:1.01170	validation-mlogloss:1.01415
[36m(train_xgb_ray_tune pid=2298215)[0m [275]	train-mlogloss:1.04551	validation-mlogloss:1.04543
[36m(train_xgb_ray_tune pid=2298213)[0m [232]	train-mlogloss:1.10433	validation-mlogloss:1.09943
[36m(train_xgb_ray_tune pid=2298199)[0m [240]	train-mlogloss:1.08442	validation-mlogloss:1.07941
[36m(train_xgb_ray_tune pid=2298203)[0m [328]	train-mlogloss:1.13870	validation-mlogloss:1.13677
[36m(train_xgb_ray_tune pid=2298214)[0m [240]	train-mlogloss:1.16486	validation-mlogloss:1.15906
[36m(train_xgb_ray_tune pid=2298197)[0m [238]	train-mlogloss:0.98433	validation-mlogloss:0.99722
[36m(train_xgb_ray_tune pid=2298195)[0m [325]	train-mlogloss:1.07015	validation-mlogloss:1.06909
[36m(train_xgb_ray_tune pid=2298200)[0m [280]	train-mlogloss:1.05706	validation-mlogloss:1.05776
[36m(train_xgb_ray_tune pid=2298212)[0m [294]	train-mlogloss:1.01443	validation-mlogloss:1.01696
[36m(train_xgb_ray_tune pid=2298201)[0m [253]	train-mlogloss:1.01237	validation-mlogloss:1.01652
[36m(train_xgb_ray_tune pid=2298205)[0m [291]	train-mlogloss:1.01153	validation-mlogloss:1.01397
[36m(train_xgb_ray_tune pid=2298215)[0m [276]	train-mlogloss:1.04512	validation-mlogloss:1.04502
[36m(train_xgb_ray_tune pid=2298213)[0m [233]	train-mlogloss:1.10379	validation-mlogloss:1.09894
[36m(train_xgb_ray_tune pid=2298213)[0m [234]	train-mlogloss:1.10321	validation-mlogloss:1.09827
[36m(train_xgb_ray_tune pid=2298199)[0m [241]	train-mlogloss:1.08409	validation-mlogloss:1.07909
[36m(train_xgb_ray_tune pid=2298203)[0m [329]	train-mlogloss:1.13841	validation-mlogloss:1.13647
[36m(train_xgb_ray_tune pid=2298203)[0m [330]	train-mlogloss:1.13814	validation-mlogloss:1.13620
[36m(train_xgb_ray_tune pid=2298214)[0m [241]	train-mlogloss:1.16459	validation-mlogloss:1.15882
[36m(train_xgb_ray_tune pid=2298197)[0m [239]	train-mlogloss:0.98404	validation-mlogloss:0.99697
[36m(train_xgb_ray_tune pid=2298217)[0m [258]	train-mlogloss:0.94718	validation-mlogloss:0.97361
[36m(train_xgb_ray_tune pid=2298217)[0m [259]	train-mlogloss:0.94699	validation-mlogloss:0.97338
[36m(train_xgb_ray_tune pid=2298195)[0m [326]	train-mlogloss:1.06980	validation-mlogloss:1.06876
[36m(train_xgb_ray_tune pid=2298181)[0m [223]	train-mlogloss:1.09936	validation-mlogloss:1.10065
[36m(train_xgb_ray_tune pid=2298200)[0m [281]	train-mlogloss:1.05673	validation-mlogloss:1.05736
[36m(train_xgb_ray_tune pid=2298202)[0m [266]	train-mlogloss:0.98843	validation-mlogloss:1.00036
[36m(train_xgb_ray_tune pid=2298202)[0m [267]	train-mlogloss:0.98811	validation-mlogloss:1.00012
[36m(train_xgb_ray_tune pid=2298212)[0m [295]	train-mlogloss:1.01418	validation-mlogloss:1.01674
[36m(train_xgb_ray_tune pid=2298201)[0m [254]	train-mlogloss:1.01214	validation-mlogloss:1.01631
[36m(train_xgb_ray_tune pid=2298201)[0m [255]	train-mlogloss:1.01194	validation-mlogloss:1.01616
[36m(train_xgb_ray_tune pid=2298205)[0m [292]	train-mlogloss:1.01121	validation-mlogloss:1.01367
[36m(train_xgb_ray_tune pid=2298205)[0m [293]	train-mlogloss:1.01093	validation-mlogloss:1.01340
[36m(train_xgb_ray_tune pid=2298215)[0m [277]	train-mlogloss:1.04486	validation-mlogloss:1.04483
[36m(train_xgb_ray_tune pid=2298215)[0m [278]	train-mlogloss:1.04465	validation-mlogloss:1.04460
[36m(train_xgb_ray_tune pid=2298213)[0m [235]	train-mlogloss:1.10264	validation-mlogloss:1.09773
[36m(train_xgb_ray_tune pid=2298213)[0m [236]	train-mlogloss:1.10214	validation-mlogloss:1.09713
[36m(train_xgb_ray_tune pid=2298199)[0m [242]	train-mlogloss:1.08364	validation-mlogloss:1.07867
[36m(train_xgb_ray_tune pid=2298203)[0m [331]	train-mlogloss:1.13789	validation-mlogloss:1.13593
[36m(train_xgb_ray_tune pid=2298214)[0m [242]	train-mlogloss:1.16432	validation-mlogloss:1.15860
[36m(train_xgb_ray_tune pid=2298197)[0m [240]	train-mlogloss:0.98378	validation-mlogloss:0.99673
[36m(train_xgb_ray_tune pid=2298217)[0m [260]	train-mlogloss:0.94670	validation-mlogloss:0.97314
[36m(train_xgb_ray_tune pid=2298195)[0m [327]	train-mlogloss:1.06936	validation-mlogloss:1.06831
[36m(train_xgb_ray_tune pid=2298181)[0m [224]	train-mlogloss:1.09871	validation-mlogloss:1.10002
[36m(train_xgb_ray_tune pid=2298200)[0m [282]	train-mlogloss:1.05629	validation-mlogloss:1.05693
[36m(train_xgb_ray_tune pid=2298202)[0m [268]	train-mlogloss:0.98790	validation-mlogloss:0.99995
[36m(train_xgb_ray_tune pid=2298212)[0m [296]	train-mlogloss:1.01399	validation-mlogloss:1.01657
[36m(train_xgb_ray_tune pid=2298201)[0m [256]	train-mlogloss:1.01163	validation-mlogloss:1.01587
[36m(train_xgb_ray_tune pid=2298201)[0m [257]	train-mlogloss:1.01134	validation-mlogloss:1.01560
[36m(train_xgb_ray_tune pid=2298205)[0m [294]	train-mlogloss:1.01070	validation-mlogloss:1.01322
[36m(train_xgb_ray_tune pid=2298215)[0m [279]	train-mlogloss:1.04435	validation-mlogloss:1.04436
[36m(train_xgb_ray_tune pid=2298213)[0m [237]	train-mlogloss:1.10157	validation-mlogloss:1.09648
[36m(train_xgb_ray_tune pid=2298199)[0m [243]	train-mlogloss:1.08315	validation-mlogloss:1.07819
[36m(train_xgb_ray_tune pid=2298203)[0m [332]	train-mlogloss:1.13772	validation-mlogloss:1.13576
[36m(train_xgb_ray_tune pid=2298214)[0m [243]	train-mlogloss:1.16377	validation-mlogloss:1.15812
[36m(train_xgb_ray_tune pid=2298197)[0m [241]	train-mlogloss:0.98349	validation-mlogloss:0.99638
[36m(train_xgb_ray_tune pid=2298217)[0m [261]	train-mlogloss:0.94642	validation-mlogloss:0.97301
[36m(train_xgb_ray_tune pid=2298195)[0m [328]	train-mlogloss:1.06903	validation-mlogloss:1.06796
[36m(train_xgb_ray_tune pid=2298200)[0m [283]	train-mlogloss:1.05602	validation-mlogloss:1.05683
[36m(train_xgb_ray_tune pid=2298202)[0m [269]	train-mlogloss:0.98755	validation-mlogloss:0.99955
[36m(train_xgb_ray_tune pid=2298212)[0m [297]	train-mlogloss:1.01382	validation-mlogloss:1.01655
[36m(train_xgb_ray_tune pid=2298212)[0m [298]	train-mlogloss:1.01366	validation-mlogloss:1.01632
[36m(train_xgb_ray_tune pid=2298201)[0m [258]	train-mlogloss:1.01103	validation-mlogloss:1.01546
[36m(train_xgb_ray_tune pid=2298205)[0m [295]	train-mlogloss:1.01045	validation-mlogloss:1.01299
[36m(train_xgb_ray_tune pid=2298215)[0m [280]	train-mlogloss:1.04402	validation-mlogloss:1.04390
[36m(train_xgb_ray_tune pid=2298213)[0m [238]	train-mlogloss:1.10104	validation-mlogloss:1.09599
[36m(train_xgb_ray_tune pid=2298199)[0m [244]	train-mlogloss:1.08268	validation-mlogloss:1.07768
[36m(train_xgb_ray_tune pid=2298203)[0m [333]	train-mlogloss:1.13751	validation-mlogloss:1.13556
[36m(train_xgb_ray_tune pid=2298203)[0m [334]	train-mlogloss:1.13727	validation-mlogloss:1.13530
[36m(train_xgb_ray_tune pid=2298214)[0m [244]	train-mlogloss:1.16350	validation-mlogloss:1.15786
[36m(train_xgb_ray_tune pid=2298214)[0m [245]	train-mlogloss:1.16324	validation-mlogloss:1.15759
[36m(train_xgb_ray_tune pid=2298197)[0m [242]	train-mlogloss:0.98322	validation-mlogloss:0.99610
[36m(train_xgb_ray_tune pid=2298197)[0m [243]	train-mlogloss:0.98295	validation-mlogloss:0.99601
[36m(train_xgb_ray_tune pid=2298217)[0m [262]	train-mlogloss:0.94625	validation-mlogloss:0.97294
[36m(train_xgb_ray_tune pid=2298217)[0m [263]	train-mlogloss:0.94607	validation-mlogloss:0.97280
[36m(train_xgb_ray_tune pid=2298195)[0m [329]	train-mlogloss:1.06865	validation-mlogloss:1.06760
[36m(train_xgb_ray_tune pid=2298181)[0m [225]	train-mlogloss:1.09808	validation-mlogloss:1.09947
[36m(train_xgb_ray_tune pid=2298181)[0m [226]	train-mlogloss:1.09742	validation-mlogloss:1.09888
[36m(train_xgb_ray_tune pid=2298200)[0m [284]	train-mlogloss:1.05563	validation-mlogloss:1.05642
[36m(train_xgb_ray_tune pid=2298200)[0m [285]	train-mlogloss:1.05527	validation-mlogloss:1.05604
[36m(train_xgb_ray_tune pid=2298202)[0m [270]	train-mlogloss:0.98728	validation-mlogloss:0.99933
[36m(train_xgb_ray_tune pid=2298212)[0m [299]	train-mlogloss:1.01348	validation-mlogloss:1.01616
[36m(train_xgb_ray_tune pid=2298201)[0m [259]	train-mlogloss:1.01085	validation-mlogloss:1.01532
[36m(train_xgb_ray_tune pid=2298201)[0m [260]	train-mlogloss:1.01060	validation-mlogloss:1.01508
[36m(train_xgb_ray_tune pid=2298205)[0m [296]	train-mlogloss:1.01027	validation-mlogloss:1.01286
[36m(train_xgb_ray_tune pid=2298215)[0m [281]	train-mlogloss:1.04368	validation-mlogloss:1.04346
[36m(train_xgb_ray_tune pid=2298213)[0m [239]	train-mlogloss:1.10050	validation-mlogloss:1.09553
[36m(train_xgb_ray_tune pid=2298213)[0m [240]	train-mlogloss:1.09997	validation-mlogloss:1.09493
[36m(train_xgb_ray_tune pid=2298199)[0m [245]	train-mlogloss:1.08226	validation-mlogloss:1.07729
[36m(train_xgb_ray_tune pid=2298203)[0m [335]	train-mlogloss:1.13701	validation-mlogloss:1.13508
[36m(train_xgb_ray_tune pid=2298214)[0m [246]	train-mlogloss:1.16287	validation-mlogloss:1.15722
[36m(train_xgb_ray_tune pid=2298197)[0m [244]	train-mlogloss:0.98259	validation-mlogloss:0.99572
[36m(train_xgb_ray_tune pid=2298217)[0m [264]	train-mlogloss:0.94584	validation-mlogloss:0.97270
[36m(train_xgb_ray_tune pid=2298195)[0m [330]	train-mlogloss:1.06824	validation-mlogloss:1.06723
[36m(train_xgb_ray_tune pid=2298200)[0m [286]	train-mlogloss:1.05498	validation-mlogloss:1.05573
[36m(train_xgb_ray_tune pid=2298202)[0m [271]	train-mlogloss:0.98696	validation-mlogloss:0.99919
[36m(train_xgb_ray_tune pid=2298212)[0m [300]	train-mlogloss:1.01330	validation-mlogloss:1.01596
[36m(train_xgb_ray_tune pid=2298212)[0m [301]	train-mlogloss:1.01312	validation-mlogloss:1.01589
[36m(train_xgb_ray_tune pid=2298201)[0m [261]	train-mlogloss:1.01043	validation-mlogloss:1.01493
[36m(train_xgb_ray_tune pid=2298201)[0m [262]	train-mlogloss:1.01005	validation-mlogloss:1.01464
[36m(train_xgb_ray_tune pid=2298205)[0m [297]	train-mlogloss:1.01001	validation-mlogloss:1.01263
[36m(train_xgb_ray_tune pid=2298215)[0m [282]	train-mlogloss:1.04337	validation-mlogloss:1.04300
[36m(train_xgb_ray_tune pid=2298213)[0m [241]	train-mlogloss:1.09945	validation-mlogloss:1.09446
[36m(train_xgb_ray_tune pid=2298199)[0m [246]	train-mlogloss:1.08176	validation-mlogloss:1.07687
[36m(train_xgb_ray_tune pid=2298203)[0m [336]	train-mlogloss:1.13677	validation-mlogloss:1.13484
[36m(train_xgb_ray_tune pid=2298217)[0m [265]	train-mlogloss:0.94564	validation-mlogloss:0.97250
[36m(train_xgb_ray_tune pid=2298195)[0m [331]	train-mlogloss:1.06780	validation-mlogloss:1.06681
[36m(train_xgb_ray_tune pid=2298181)[0m [227]	train-mlogloss:1.09680	validation-mlogloss:1.09838
[36m(train_xgb_ray_tune pid=2298202)[0m [272]	train-mlogloss:0.98654	validation-mlogloss:0.99893
[36m(train_xgb_ray_tune pid=2298205)[0m [298]	train-mlogloss:1.00982	validation-mlogloss:1.01249
[36m(train_xgb_ray_tune pid=2298215)[0m [283]	train-mlogloss:1.04308	validation-mlogloss:1.04272
[36m(train_xgb_ray_tune pid=2298213)[0m [242]	train-mlogloss:1.09896	validation-mlogloss:1.09399
[36m(train_xgb_ray_tune pid=2298214)[0m [247]	train-mlogloss:1.16247	validation-mlogloss:1.15682
[36m(train_xgb_ray_tune pid=2298197)[0m [245]	train-mlogloss:0.98232	validation-mlogloss:0.99546
[36m(train_xgb_ray_tune pid=2298195)[0m [332]	train-mlogloss:1.06748	validation-mlogloss:1.06647
[36m(train_xgb_ray_tune pid=2298200)[0m [287]	train-mlogloss:1.05461	validation-mlogloss:1.05529
[36m(train_xgb_ray_tune pid=2298212)[0m [302]	train-mlogloss:1.01293	validation-mlogloss:1.01575
[36m(train_xgb_ray_tune pid=2298201)[0m [263]	train-mlogloss:1.00976	validation-mlogloss:1.01447
[36m(train_xgb_ray_tune pid=2298205)[0m [299]	train-mlogloss:1.00960	validation-mlogloss:1.01223
[36m(train_xgb_ray_tune pid=2298215)[0m [284]	train-mlogloss:1.04280	validation-mlogloss:1.04233
[36m(train_xgb_ray_tune pid=2298199)[0m [247]	train-mlogloss:1.08129	validation-mlogloss:1.07640
[36m(train_xgb_ray_tune pid=2298203)[0m [337]	train-mlogloss:1.13649	validation-mlogloss:1.13459
[36m(train_xgb_ray_tune pid=2298214)[0m [248]	train-mlogloss:1.16200	validation-mlogloss:1.15637
[36m(train_xgb_ray_tune pid=2298197)[0m [246]	train-mlogloss:0.98201	validation-mlogloss:0.99523
[36m(train_xgb_ray_tune pid=2298217)[0m [266]	train-mlogloss:0.94544	validation-mlogloss:0.97230
[36m(train_xgb_ray_tune pid=2298181)[0m [228]	train-mlogloss:1.09613	validation-mlogloss:1.09776
[36m(train_xgb_ray_tune pid=2298202)[0m [273]	train-mlogloss:0.98624	validation-mlogloss:0.99861
[36m(train_xgb_ray_tune pid=2298212)[0m [303]	train-mlogloss:1.01293	validation-mlogloss:1.01575

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:13. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.56428 │
│ time_total_s                 7.56428 │
│ training_iteration                 1 │
│ validation_accuracy            0.625 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298201)[0m [264]	train-mlogloss:1.00947	validation-mlogloss:1.01428
[36m(train_xgb_ray_tune pid=2298205)[0m [300]	train-mlogloss:1.00928	validation-mlogloss:1.01197
[36m(train_xgb_ray_tune pid=2298215)[0m [285]	train-mlogloss:1.04249	validation-mlogloss:1.04205
[36m(train_xgb_ray_tune pid=2298213)[0m [243]	train-mlogloss:1.09846	validation-mlogloss:1.09356
[36m(train_xgb_ray_tune pid=2298203)[0m [338]	train-mlogloss:1.13628	validation-mlogloss:1.13439
[36m(train_xgb_ray_tune pid=2298214)[0m [249]	train-mlogloss:1.16162	validation-mlogloss:1.15605
[36m(train_xgb_ray_tune pid=2298217)[0m [267]	train-mlogloss:0.94533	validation-mlogloss:0.97229
[36m(train_xgb_ray_tune pid=2298195)[0m [333]	train-mlogloss:1.06712	validation-mlogloss:1.06607

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:13. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298200)[0m [288]	train-mlogloss:1.05421	validation-mlogloss:1.05485
[36m(train_xgb_ray_tune pid=2298202)[0m [274]	train-mlogloss:0.98593	validation-mlogloss:0.99831
[36m(train_xgb_ray_tune pid=2298212)[0m [304]	train-mlogloss:1.01293	validation-mlogloss:1.01574
[36m(train_xgb_ray_tune pid=2298201)[0m [265]	train-mlogloss:1.00924	validation-mlogloss:1.01408
[36m(train_xgb_ray_tune pid=2298205)[0m [301]	train-mlogloss:1.00911	validation-mlogloss:1.01183
[36m(train_xgb_ray_tune pid=2298213)[0m [244]	train-mlogloss:1.09793	validation-mlogloss:1.09315
[36m(train_xgb_ray_tune pid=2298199)[0m [248]	train-mlogloss:1.08076	validation-mlogloss:1.07585
[36m(train_xgb_ray_tune pid=2298203)[0m [339]	train-mlogloss:1.13603	validation-mlogloss:1.13415
[36m(train_xgb_ray_tune pid=2298214)[0m [250]	train-mlogloss:1.16137	validation-mlogloss:1.15582
[36m(train_xgb_ray_tune pid=2298197)[0m [247]	train-mlogloss:0.98162	validation-mlogloss:0.99508
[36m(train_xgb_ray_tune pid=2298217)[0m [268]	train-mlogloss:0.94508	validation-mlogloss:0.97228
[36m(train_xgb_ray_tune pid=2298195)[0m [334]	train-mlogloss:1.06681	validation-mlogloss:1.06580
[36m(train_xgb_ray_tune pid=2298181)[0m [229]	train-mlogloss:1.09547	validation-mlogloss:1.09708
[36m(train_xgb_ray_tune pid=2298200)[0m [289]	train-mlogloss:1.05385	validation-mlogloss:1.05444
[36m(train_xgb_ray_tune pid=2298202)[0m [275]	train-mlogloss:0.98561	validation-mlogloss:0.99806
[36m(train_xgb_ray_tune pid=2298212)[0m [305]	train-mlogloss:1.01292	validation-mlogloss:1.01574
[36m(train_xgb_ray_tune pid=2298201)[0m [266]	train-mlogloss:1.00892	validation-mlogloss:1.01385
[36m(train_xgb_ray_tune pid=2298205)[0m [302]	train-mlogloss:1.00899	validation-mlogloss:1.01176
[36m(train_xgb_ray_tune pid=2298215)[0m [286]	train-mlogloss:1.04223	validation-mlogloss:1.04184
[36m(train_xgb_ray_tune pid=2298213)[0m [245]	train-mlogloss:1.09743	validation-mlogloss:1.09259
[36m(train_xgb_ray_tune pid=2298199)[0m [249]	train-mlogloss:1.08029	validation-mlogloss:1.07534
[36m(train_xgb_ray_tune pid=2298203)[0m [340]	train-mlogloss:1.13580	validation-mlogloss:1.13394
[36m(train_xgb_ray_tune pid=2298197)[0m [248]	train-mlogloss:0.98137	validation-mlogloss:0.99481
[36m(train_xgb_ray_tune pid=2298217)[0m [269]	train-mlogloss:0.94495	validation-mlogloss:0.97221
[36m(train_xgb_ray_tune pid=2298195)[0m [335]	train-mlogloss:1.06640	validation-mlogloss:1.06550
[36m(train_xgb_ray_tune pid=2298200)[0m [290]	train-mlogloss:1.05352	validation-mlogloss:1.05411
[36m(train_xgb_ray_tune pid=2298202)[0m [276]	train-mlogloss:0.98529	validation-mlogloss:0.99774
[36m(train_xgb_ray_tune pid=2298212)[0m [306]	train-mlogloss:1.01276	validation-mlogloss:1.01570
[36m(train_xgb_ray_tune pid=2298212)[0m [307]	train-mlogloss:1.01276	validation-mlogloss:1.01569
[36m(train_xgb_ray_tune pid=2298201)[0m [267]	train-mlogloss:1.00861	validation-mlogloss:1.01352
[36m(train_xgb_ray_tune pid=2298201)[0m [268]	train-mlogloss:1.00833	validation-mlogloss:1.01328
[36m(train_xgb_ray_tune pid=2298205)[0m [303]	train-mlogloss:1.00870	validation-mlogloss:1.01152
[36m(train_xgb_ray_tune pid=2298215)[0m [287]	train-mlogloss:1.04202	validation-mlogloss:1.04169
[36m(train_xgb_ray_tune pid=2298199)[0m [250]	train-mlogloss:1.07989	validation-mlogloss:1.07488
[36m(train_xgb_ray_tune pid=2298203)[0m [341]	train-mlogloss:1.13557	validation-mlogloss:1.13375
[36m(train_xgb_ray_tune pid=2298214)[0m [251]	train-mlogloss:1.16093	validation-mlogloss:1.15530
[36m(train_xgb_ray_tune pid=2298214)[0m [252]	train-mlogloss:1.16053	validation-mlogloss:1.15494
[36m(train_xgb_ray_tune pid=2298197)[0m [249]	train-mlogloss:0.98109	validation-mlogloss:0.99461
[36m(train_xgb_ray_tune pid=2298217)[0m [270]	train-mlogloss:0.94486	validation-mlogloss:0.97217
[36m(train_xgb_ray_tune pid=2298181)[0m [230]	train-mlogloss:1.09487	validation-mlogloss:1.09655
[36m(train_xgb_ray_tune pid=2298212)[0m [308]	train-mlogloss:1.01259	validation-mlogloss:1.01551
[36m(train_xgb_ray_tune pid=2298201)[0m [269]	train-mlogloss:1.00805	validation-mlogloss:1.01295
[36m(train_xgb_ray_tune pid=2298205)[0m [304]	train-mlogloss:1.00846	validation-mlogloss:1.01129
[36m(train_xgb_ray_tune pid=2298215)[0m [288]	train-mlogloss:1.04169	validation-mlogloss:1.04133
[36m(train_xgb_ray_tune pid=2298213)[0m [246]	train-mlogloss:1.09695	validation-mlogloss:1.09223
[36m(train_xgb_ray_tune pid=2298203)[0m [342]	train-mlogloss:1.13532	validation-mlogloss:1.13349
[36m(train_xgb_ray_tune pid=2298214)[0m [253]	train-mlogloss:1.16006	validation-mlogloss:1.15445
[36m(train_xgb_ray_tune pid=2298195)[0m [336]	train-mlogloss:1.06599	validation-mlogloss:1.06508
[36m(train_xgb_ray_tune pid=2298200)[0m [291]	train-mlogloss:1.05320	validation-mlogloss:1.05376
[36m(train_xgb_ray_tune pid=2298202)[0m [277]	train-mlogloss:0.98505	validation-mlogloss:0.99756
[36m(train_xgb_ray_tune pid=2298212)[0m [309]	train-mlogloss:1.01259	validation-mlogloss:1.01551
[36m(train_xgb_ray_tune pid=2298199)[0m [251]	train-mlogloss:1.07940	validation-mlogloss:1.07441
[36m(train_xgb_ray_tune pid=2298197)[0m [250]	train-mlogloss:0.98080	validation-mlogloss:0.99453
[36m(train_xgb_ray_tune pid=2298217)[0m [271]	train-mlogloss:0.94472	validation-mlogloss:0.97206
[36m(train_xgb_ray_tune pid=2298181)[0m [231]	train-mlogloss:1.09428	validation-mlogloss:1.09600
[36m(train_xgb_ray_tune pid=2298202)[0m [278]	train-mlogloss:0.98481	validation-mlogloss:0.99734
[36m(train_xgb_ray_tune pid=2298212)[0m [310]	train-mlogloss:1.01242	validation-mlogloss:1.01538
[36m(train_xgb_ray_tune pid=2298201)[0m [270]	train-mlogloss:1.00775	validation-mlogloss:1.01269
[36m(train_xgb_ray_tune pid=2298205)[0m [305]	train-mlogloss:1.00821	validation-mlogloss:1.01109
[36m(train_xgb_ray_tune pid=2298215)[0m [289]	train-mlogloss:1.04143	validation-mlogloss:1.04106
[36m(train_xgb_ray_tune pid=2298213)[0m [247]	train-mlogloss:1.09638	validation-mlogloss:1.09166
[36m(train_xgb_ray_tune pid=2298203)[0m [343]	train-mlogloss:1.13510	validation-mlogloss:1.13325
[36m(train_xgb_ray_tune pid=2298214)[0m [254]	train-mlogloss:1.15973	validation-mlogloss:1.15406
[36m(train_xgb_ray_tune pid=2298217)[0m [272]	train-mlogloss:0.94459	validation-mlogloss:0.97188
[36m(train_xgb_ray_tune pid=2298195)[0m [337]	train-mlogloss:1.06563	validation-mlogloss:1.06476
[36m(train_xgb_ray_tune pid=2298200)[0m [292]	train-mlogloss:1.05288	validation-mlogloss:1.05347
[36m(train_xgb_ray_tune pid=2298212)[0m [311]	train-mlogloss:1.01225	validation-mlogloss:1.01519
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[36m(train_xgb_ray_tune pid=2298201)[0m [289]	train-mlogloss:1.00305	validation-mlogloss:1.00855
[36m(train_xgb_ray_tune pid=2298213)[0m [257]	train-mlogloss:1.09131	validation-mlogloss:1.08671
[36m(train_xgb_ray_tune pid=2298199)[0m [262]	train-mlogloss:1.07457	validation-mlogloss:1.06966
[36m(train_xgb_ray_tune pid=2298214)[0m [272]	train-mlogloss:1.15388	validation-mlogloss:1.14860
[36m(train_xgb_ray_tune pid=2298197)[0m [263]	train-mlogloss:0.97704	validation-mlogloss:0.99123
[36m(train_xgb_ray_tune pid=2298195)[0m [350]	train-mlogloss:1.06101	validation-mlogloss:1.06083
[36m(train_xgb_ray_tune pid=2298202)[0m [291]	train-mlogloss:0.98153	validation-mlogloss:0.99495
[36m(train_xgb_ray_tune pid=2298201)[0m [290]	train-mlogloss:1.00285	validation-mlogloss:1.00848
[36m(train_xgb_ray_tune pid=2298215)[0m [303]	train-mlogloss:1.03770	validation-mlogloss:1.03787
[36m(train_xgb_ray_tune pid=2298214)[0m [273]	train-mlogloss:1.15359	validation-mlogloss:1.14828
[36m(train_xgb_ray_tune pid=2298217)[0m [286]	train-mlogloss:0.94227	validation-mlogloss:0.96997
[36m(train_xgb_ray_tune pid=2298200)[0m [305]	train-mlogloss:1.04869	validation-mlogloss:1.04961
[36m(train_xgb_ray_tune pid=2298201)[0m [291]	train-mlogloss:1.00259	validation-mlogloss:1.00818
[36m(train_xgb_ray_tune pid=2298199)[0m [263]	train-mlogloss:1.07418	validation-mlogloss:1.06941
[36m(train_xgb_ray_tune pid=2298203)[0m [358]	train-mlogloss:1.13197	validation-mlogloss:1.13037
[36m(train_xgb_ray_tune pid=2298197)[0m [264]	train-mlogloss:0.97670	validation-mlogloss:0.99105
[36m(train_xgb_ray_tune pid=2298195)[0m [351]	train-mlogloss:1.06062	validation-mlogloss:1.06045
[36m(train_xgb_ray_tune pid=2298181)[0m [241]	train-mlogloss:1.08837	validation-mlogloss:1.09032
[36m(train_xgb_ray_tune pid=2298202)[0m [292]	train-mlogloss:0.98133	validation-mlogloss:0.99482
[36m(train_xgb_ray_tune pid=2298215)[0m [304]	train-mlogloss:1.03735	validation-mlogloss:1.03753
[36m(train_xgb_ray_tune pid=2298213)[0m [258]	train-mlogloss:1.09085	validation-mlogloss:1.08639
[36m(train_xgb_ray_tune pid=2298214)[0m [274]	train-mlogloss:1.15327	validation-mlogloss:1.14801
[36m(train_xgb_ray_tune pid=2298217)[0m [287]	train-mlogloss:0.94205	validation-mlogloss:0.96971
[36m(train_xgb_ray_tune pid=2298200)[0m [306]	train-mlogloss:1.04844	validation-mlogloss:1.04940
[36m(train_xgb_ray_tune pid=2298201)[0m [292]	train-mlogloss:1.00231	validation-mlogloss:1.00794
[36m(train_xgb_ray_tune pid=2298203)[0m [359]	train-mlogloss:1.13175	validation-mlogloss:1.13019
[36m(train_xgb_ray_tune pid=2298195)[0m [352]	train-mlogloss:1.06028	validation-mlogloss:1.06017
[36m(train_xgb_ray_tune pid=2298202)[0m [293]	train-mlogloss:0.98110	validation-mlogloss:0.99462
[36m(train_xgb_ray_tune pid=2298201)[0m [293]	train-mlogloss:1.00217	validation-mlogloss:1.00780
[36m(train_xgb_ray_tune pid=2298201)[0m [294]	train-mlogloss:1.00198	validation-mlogloss:1.00772
[36m(train_xgb_ray_tune pid=2298215)[0m [305]	train-mlogloss:1.03711	validation-mlogloss:1.03739
[36m(train_xgb_ray_tune pid=2298213)[0m [259]	train-mlogloss:1.09036	validation-mlogloss:1.08587
[36m(train_xgb_ray_tune pid=2298199)[0m [264]	train-mlogloss:1.07372	validation-mlogloss:1.06898
[36m(train_xgb_ray_tune pid=2298203)[0m [360]	train-mlogloss:1.13153	validation-mlogloss:1.12999
[36m(train_xgb_ray_tune pid=2298214)[0m [275]	train-mlogloss:1.15299	validation-mlogloss:1.14778
[36m(train_xgb_ray_tune pid=2298214)[0m [276]	train-mlogloss:1.15264	validation-mlogloss:1.14736
[36m(train_xgb_ray_tune pid=2298197)[0m [265]	train-mlogloss:0.97634	validation-mlogloss:0.99088
[36m(train_xgb_ray_tune pid=2298197)[0m [266]	train-mlogloss:0.97603	validation-mlogloss:0.99061
[36m(train_xgb_ray_tune pid=2298217)[0m [288]	train-mlogloss:0.94188	validation-mlogloss:0.96961
[36m(train_xgb_ray_tune pid=2298195)[0m [353]	train-mlogloss:1.05998	validation-mlogloss:1.06002
[36m(train_xgb_ray_tune pid=2298181)[0m [242]	train-mlogloss:1.08775	validation-mlogloss:1.08971
[36m(train_xgb_ray_tune pid=2298200)[0m [307]	train-mlogloss:1.04825	validation-mlogloss:1.04926
[36m(train_xgb_ray_tune pid=2298202)[0m [294]	train-mlogloss:0.98081	validation-mlogloss:0.99437
[36m(train_xgb_ray_tune pid=2298201)[0m [295]	train-mlogloss:1.00179	validation-mlogloss:1.00765
[36m(train_xgb_ray_tune pid=2298215)[0m [306]	train-mlogloss:1.03685	validation-mlogloss:1.03708
[36m(train_xgb_ray_tune pid=2298213)[0m [260]	train-mlogloss:1.08986	validation-mlogloss:1.08535
[36m(train_xgb_ray_tune pid=2298199)[0m [265]	train-mlogloss:1.07325	validation-mlogloss:1.06849
[36m(train_xgb_ray_tune pid=2298203)[0m [361]	train-mlogloss:1.13138	validation-mlogloss:1.12987
[36m(train_xgb_ray_tune pid=2298214)[0m [277]	train-mlogloss:1.15241	validation-mlogloss:1.14709
[36m(train_xgb_ray_tune pid=2298217)[0m [289]	train-mlogloss:0.94162	validation-mlogloss:0.96938
[36m(train_xgb_ray_tune pid=2298195)[0m [354]	train-mlogloss:1.05957	validation-mlogloss:1.05965
[36m(train_xgb_ray_tune pid=2298181)[0m [243]	train-mlogloss:1.08713	validation-mlogloss:1.08907
[36m(train_xgb_ray_tune pid=2298200)[0m [308]	train-mlogloss:1.04791	validation-mlogloss:1.04898
[36m(train_xgb_ray_tune pid=2298202)[0m [295]	train-mlogloss:0.98059	validation-mlogloss:0.99418
[36m(train_xgb_ray_tune pid=2298201)[0m [296]	train-mlogloss:1.00158	validation-mlogloss:1.00744
[36m(train_xgb_ray_tune pid=2298215)[0m [307]	train-mlogloss:1.03660	validation-mlogloss:1.03678
[36m(train_xgb_ray_tune pid=2298199)[0m [266]	train-mlogloss:1.07292	validation-mlogloss:1.06811
[36m(train_xgb_ray_tune pid=2298203)[0m [362]	train-mlogloss:1.13116	validation-mlogloss:1.12963
[36m(train_xgb_ray_tune pid=2298214)[0m [278]	train-mlogloss:1.15207	validation-mlogloss:1.14676
[36m(train_xgb_ray_tune pid=2298197)[0m [267]	train-mlogloss:0.97576	validation-mlogloss:0.99030
[36m(train_xgb_ray_tune pid=2298217)[0m [290]	train-mlogloss:0.94145	validation-mlogloss:0.96931

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:13. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.72168 │
│ time_total_s                 7.72168 │
│ training_iteration                 1 │
│ validation_accuracy          0.61868 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298195)[0m [355]	train-mlogloss:1.05920	validation-mlogloss:1.05932
[36m(train_xgb_ray_tune pid=2298200)[0m [309]	train-mlogloss:1.04764	validation-mlogloss:1.04870
[36m(train_xgb_ray_tune pid=2298202)[0m [296]	train-mlogloss:0.98037	validation-mlogloss:0.99406
[36m(train_xgb_ray_tune pid=2298201)[0m [297]	train-mlogloss:1.00133	validation-mlogloss:1.00723
[36m(train_xgb_ray_tune pid=2298201)[0m [298]	train-mlogloss:1.00104	validation-mlogloss:1.00702
[36m(train_xgb_ray_tune pid=2298215)[0m [308]	train-mlogloss:1.03640	validation-mlogloss:1.03667
[36m(train_xgb_ray_tune pid=2298213)[0m [261]	train-mlogloss:1.08943	validation-mlogloss:1.08492

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:13. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298199)[0m [267]	train-mlogloss:1.07252	validation-mlogloss:1.06770
[36m(train_xgb_ray_tune pid=2298203)[0m [363]	train-mlogloss:1.13097	validation-mlogloss:1.12944
[36m(train_xgb_ray_tune pid=2298214)[0m [279]	train-mlogloss:1.15170	validation-mlogloss:1.14644
[36m(train_xgb_ray_tune pid=2298197)[0m [268]	train-mlogloss:0.97558	validation-mlogloss:0.99026
[36m(train_xgb_ray_tune pid=2298197)[0m [269]	train-mlogloss:0.97529	validation-mlogloss:0.99010
[36m(train_xgb_ray_tune pid=2298217)[0m [291]	train-mlogloss:0.94127	validation-mlogloss:0.96930

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:13. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.58074 │
│ time_total_s                 7.58074 │
│ training_iteration                 1 │
│ validation_accuracy          0.60604 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298195)[0m [356]	train-mlogloss:1.05877	validation-mlogloss:1.05890
[36m(train_xgb_ray_tune pid=2298181)[0m [244]	train-mlogloss:1.08652	validation-mlogloss:1.08848
[36m(train_xgb_ray_tune pid=2298200)[0m [310]	train-mlogloss:1.04735	validation-mlogloss:1.04846
[36m(train_xgb_ray_tune pid=2298202)[0m [297]	train-mlogloss:0.98005	validation-mlogloss:0.99385
[36m(train_xgb_ray_tune pid=2298201)[0m [299]	train-mlogloss:1.00080	validation-mlogloss:1.00694
[36m(train_xgb_ray_tune pid=2298215)[0m [309]	train-mlogloss:1.03619	validation-mlogloss:1.03649
[36m(train_xgb_ray_tune pid=2298213)[0m [262]	train-mlogloss:1.08889	validation-mlogloss:1.08437
[36m(train_xgb_ray_tune pid=2298203)[0m [364]	train-mlogloss:1.13069	validation-mlogloss:1.12919
[36m(train_xgb_ray_tune pid=2298214)[0m [280]	train-mlogloss:1.15148	validation-mlogloss:1.14623
[36m(train_xgb_ray_tune pid=2298217)[0m [292]	train-mlogloss:0.94123	validation-mlogloss:0.96929
[36m(train_xgb_ray_tune pid=2298200)[0m [311]	train-mlogloss:1.04706	validation-mlogloss:1.04830
[36m(train_xgb_ray_tune pid=2298199)[0m [268]	train-mlogloss:1.07208	validation-mlogloss:1.06723
[36m(train_xgb_ray_tune pid=2298197)[0m [270]	train-mlogloss:0.97515	validation-mlogloss:0.99001

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:13. Total running time: 10s
[36m(train_xgb_ray_tune pid=2298195)[0m [357]	train-mlogloss:1.05839	validation-mlogloss:1.05854
[36m(train_xgb_ray_tune pid=2298181)[0m [245]	train-mlogloss:1.08589	validation-mlogloss:1.08784
[36m(train_xgb_ray_tune pid=2298200)[0m [312]	train-mlogloss:1.04675	validation-mlogloss:1.04808
[36m(train_xgb_ray_tune pid=2298202)[0m [298]	train-mlogloss:0.97982	validation-mlogloss:0.99372
[36m(train_xgb_ray_tune pid=2298201)[0m [300]	train-mlogloss:1.00054	validation-mlogloss:1.00681
[36m(train_xgb_ray_tune pid=2298215)[0m [310]	train-mlogloss:1.03601	validation-mlogloss:1.03629
[36m(train_xgb_ray_tune pid=2298213)[0m [263]	train-mlogloss:1.08839	validation-mlogloss:1.08385
[36m(train_xgb_ray_tune pid=2298203)[0m [365]	train-mlogloss:1.13041	validation-mlogloss:1.12892
[36m(train_xgb_ray_tune pid=2298214)[0m [281]	train-mlogloss:1.15105	validation-mlogloss:1.14584
[36m(train_xgb_ray_tune pid=2298217)[0m [293]	train-mlogloss:0.94107	validation-mlogloss:0.96923
[36m(train_xgb_ray_tune pid=2298195)[0m [358]	train-mlogloss:1.05812	validation-mlogloss:1.05827
[36m(train_xgb_ray_tune pid=2298202)[0m [299]	train-mlogloss:0.97958	validation-mlogloss:0.99344
[36m(train_xgb_ray_tune pid=2298201)[0m [301]	train-mlogloss:1.00028	validation-mlogloss:1.00655
[36m(train_xgb_ray_tune pid=2298215)[0m [311]	train-mlogloss:1.03575	validation-mlogloss:1.03614
[36m(train_xgb_ray_tune pid=2298213)[0m [264]	train-mlogloss:1.08794	validation-mlogloss:1.08345
[36m(train_xgb_ray_tune pid=2298199)[0m [269]	train-mlogloss:1.07166	validation-mlogloss:1.06688
[36m(train_xgb_ray_tune pid=2298203)[0m [366]	train-mlogloss:1.13030	validation-mlogloss:1.12884
[36m(train_xgb_ray_tune pid=2298197)[0m [271]	train-mlogloss:0.97496	validation-mlogloss:0.98988
[36m(train_xgb_ray_tune pid=2298217)[0m [294]	train-mlogloss:0.94093	validation-mlogloss:0.96920
[36m(train_xgb_ray_tune pid=2298181)[0m [246]	train-mlogloss:1.08523	validation-mlogloss:1.08719
[36m(train_xgb_ray_tune pid=2298200)[0m [313]	train-mlogloss:1.04647	validation-mlogloss:1.04785
[36m(train_xgb_ray_tune pid=2298201)[0m [302]	train-mlogloss:1.00003	validation-mlogloss:1.00641
[36m(train_xgb_ray_tune pid=2298203)[0m [367]	train-mlogloss:1.13010	validation-mlogloss:1.12863
[36m(train_xgb_ray_tune pid=2298214)[0m [282]	train-mlogloss:1.15075	validation-mlogloss:1.14559
[36m(train_xgb_ray_tune pid=2298197)[0m [272]	train-mlogloss:0.97468	validation-mlogloss:0.98975
[36m(train_xgb_ray_tune pid=2298217)[0m [295]	train-mlogloss:0.94069	validation-mlogloss:0.96910
[36m(train_xgb_ray_tune pid=2298195)[0m [359]	train-mlogloss:1.05774	validation-mlogloss:1.05797
[36m(train_xgb_ray_tune pid=2298200)[0m [314]	train-mlogloss:1.04618	validation-mlogloss:1.04755
[36m(train_xgb_ray_tune pid=2298202)[0m [300]	train-mlogloss:0.97933	validation-mlogloss:0.99321
[36m(train_xgb_ray_tune pid=2298202)[0m [301]	train-mlogloss:0.97908	validation-mlogloss:0.99295
[36m(train_xgb_ray_tune pid=2298201)[0m [303]	train-mlogloss:0.99975	validation-mlogloss:1.00613
[36m(train_xgb_ray_tune pid=2298215)[0m [312]	train-mlogloss:1.03551	validation-mlogloss:1.03584
[36m(train_xgb_ray_tune pid=2298215)[0m [313]	train-mlogloss:1.03532	validation-mlogloss:1.03573
[36m(train_xgb_ray_tune pid=2298213)[0m [265]	train-mlogloss:1.08742	validation-mlogloss:1.08288
[36m(train_xgb_ray_tune pid=2298199)[0m [270]	train-mlogloss:1.07133	validation-mlogloss:1.06658
[36m(train_xgb_ray_tune pid=2298199)[0m [271]	train-mlogloss:1.07094	validation-mlogloss:1.06614
[36m(train_xgb_ray_tune pid=2298203)[0m [368]	train-mlogloss:1.13001	validation-mlogloss:1.12854
[36m(train_xgb_ray_tune pid=2298214)[0m [283]	train-mlogloss:1.15046	validation-mlogloss:1.14530
[36m(train_xgb_ray_tune pid=2298197)[0m [273]	train-mlogloss:0.97442	validation-mlogloss:0.98954
[36m(train_xgb_ray_tune pid=2298217)[0m [296]	train-mlogloss:0.94046	validation-mlogloss:0.96897
[36m(train_xgb_ray_tune pid=2298217)[0m [297]	train-mlogloss:0.94037	validation-mlogloss:0.96888
[36m(train_xgb_ray_tune pid=2298195)[0m [360]	train-mlogloss:1.05742	validation-mlogloss:1.05758
[36m(train_xgb_ray_tune pid=2298181)[0m [247]	train-mlogloss:1.08465	validation-mlogloss:1.08668
[36m(train_xgb_ray_tune pid=2298202)[0m [302]	train-mlogloss:0.97885	validation-mlogloss:0.99286
[36m(train_xgb_ray_tune pid=2298201)[0m [304]	train-mlogloss:0.99955	validation-mlogloss:1.00604
[36m(train_xgb_ray_tune pid=2298215)[0m [314]	train-mlogloss:1.03492	validation-mlogloss:1.03537
[36m(train_xgb_ray_tune pid=2298213)[0m [266]	train-mlogloss:1.08690	validation-mlogloss:1.08240
[36m(train_xgb_ray_tune pid=2298203)[0m [369]	train-mlogloss:1.12980	validation-mlogloss:1.12837
[36m(train_xgb_ray_tune pid=2298214)[0m [284]	train-mlogloss:1.15024	validation-mlogloss:1.14513
[36m(train_xgb_ray_tune pid=2298197)[0m [274]	train-mlogloss:0.97420	validation-mlogloss:0.98931
[36m(train_xgb_ray_tune pid=2298217)[0m [298]	train-mlogloss:0.94016	validation-mlogloss:0.96880
[36m(train_xgb_ray_tune pid=2298195)[0m [361]	train-mlogloss:1.05710	validation-mlogloss:1.05729
[36m(train_xgb_ray_tune pid=2298181)[0m [248]	train-mlogloss:1.08400	validation-mlogloss:1.08600
[36m(train_xgb_ray_tune pid=2298200)[0m [315]	train-mlogloss:1.04591	validation-mlogloss:1.04735
[36m(train_xgb_ray_tune pid=2298202)[0m [303]	train-mlogloss:0.97854	validation-mlogloss:0.99267
[36m(train_xgb_ray_tune pid=2298202)[0m [304]	train-mlogloss:0.97836	validation-mlogloss:0.99252
[36m(train_xgb_ray_tune pid=2298213)[0m [267]	train-mlogloss:1.08645	validation-mlogloss:1.08193
[36m(train_xgb_ray_tune pid=2298199)[0m [272]	train-mlogloss:1.07052	validation-mlogloss:1.06580
[36m(train_xgb_ray_tune pid=2298203)[0m [370]	train-mlogloss:1.12971	validation-mlogloss:1.12826
[36m(train_xgb_ray_tune pid=2298214)[0m [285]	train-mlogloss:1.15001	validation-mlogloss:1.14491
[36m(train_xgb_ray_tune pid=2298197)[0m [275]	train-mlogloss:0.97392	validation-mlogloss:0.98906
[36m(train_xgb_ray_tune pid=2298195)[0m [362]	train-mlogloss:1.05679	validation-mlogloss:1.05697
[36m(train_xgb_ray_tune pid=2298200)[0m [316]	train-mlogloss:1.04557	validation-mlogloss:1.04709
[36m(train_xgb_ray_tune pid=2298202)[0m [305]	train-mlogloss:0.97808	validation-mlogloss:0.99232
[36m(train_xgb_ray_tune pid=2298201)[0m [305]	train-mlogloss:0.99924	validation-mlogloss:1.00578
[36m(train_xgb_ray_tune pid=2298215)[0m [315]	train-mlogloss:1.03469	validation-mlogloss:1.03519
[36m(train_xgb_ray_tune pid=2298217)[0m [299]	train-mlogloss:0.94003	validation-mlogloss:0.96876
[36m(train_xgb_ray_tune pid=2298181)[0m [249]	train-mlogloss:1.08338	validation-mlogloss:1.08540
[36m(train_xgb_ray_tune pid=2298213)[0m [268]	train-mlogloss:1.08598	validation-mlogloss:1.08142
[36m(train_xgb_ray_tune pid=2298199)[0m [273]	train-mlogloss:1.07015	validation-mlogloss:1.06541
[36m(train_xgb_ray_tune pid=2298203)[0m [371]	train-mlogloss:1.12949	validation-mlogloss:1.12802
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[36m(train_xgb_ray_tune pid=2298217)[0m [405]	train-mlogloss:0.93216	validation-mlogloss:0.96315
[36m(train_xgb_ray_tune pid=2298217)[0m [406]	train-mlogloss:0.93216	validation-mlogloss:0.96315
[36m(train_xgb_ray_tune pid=2298217)[0m 
[36m(train_xgb_ray_tune pid=2298195)[0m [440]	train-mlogloss:1.03474	validation-mlogloss:1.03703
[36m(train_xgb_ray_tune pid=2298201)[0m [394]	train-mlogloss:0.98511	validation-mlogloss:0.99460
[36m(train_xgb_ray_tune pid=2298214)[0m [365]	train-mlogloss:1.13132	validation-mlogloss:1.12699
[36m(train_xgb_ray_tune pid=2298181)[0m [306]	train-mlogloss:1.05260	validation-mlogloss:1.05730
[36m(train_xgb_ray_tune pid=2298202)[0m [396]	train-mlogloss:0.96095	validation-mlogloss:0.98017
[36m(train_xgb_ray_tune pid=2298201)[0m [395]	train-mlogloss:0.98497	validation-mlogloss:0.99447
[36m(train_xgb_ray_tune pid=2298213)[0m [352]	train-mlogloss:1.05505	validation-mlogloss:1.05332
[36m(train_xgb_ray_tune pid=2298199)[0m [347]	train-mlogloss:1.04884	validation-mlogloss:1.04641
[36m(train_xgb_ray_tune pid=2298197)[0m [360]	train-mlogloss:0.95933	validation-mlogloss:0.97803
[36m(train_xgb_ray_tune pid=2298217)[0m [407]	train-mlogloss:0.93210	validation-mlogloss:0.96308
[36m(train_xgb_ray_tune pid=2298195)[0m [441]	train-mlogloss:1.03453	validation-mlogloss:1.03683
[36m(train_xgb_ray_tune pid=2298200)[0m [409]	train-mlogloss:1.02418	validation-mlogloss:1.02823
[36m(train_xgb_ray_tune pid=2298202)[0m [397]	train-mlogloss:0.96082	validation-mlogloss:0.98005
[36m(train_xgb_ray_tune pid=2298201)[0m [396]	train-mlogloss:0.98485	validation-mlogloss:0.99437
[36m(train_xgb_ray_tune pid=2298214)[0m [366]	train-mlogloss:1.13103	validation-mlogloss:1.12670
[36m(train_xgb_ray_tune pid=2298197)[0m [361]	train-mlogloss:0.95929	validation-mlogloss:0.97803
[36m(train_xgb_ray_tune pid=2298217)[0m [408]	train-mlogloss:0.93190	validation-mlogloss:0.96304
[36m(train_xgb_ray_tune pid=2298201)[0m [397]	train-mlogloss:0.98485	validation-mlogloss:0.99437
[36m(train_xgb_ray_tune pid=2298213)[0m [353]	train-mlogloss:1.05476	validation-mlogloss:1.05308
[36m(train_xgb_ray_tune pid=2298199)[0m [348]	train-mlogloss:1.04854	validation-mlogloss:1.04611
[36m(train_xgb_ray_tune pid=2298195)[0m [442]	train-mlogloss:1.03432	validation-mlogloss:1.03659
[36m(train_xgb_ray_tune pid=2298181)[0m [307]	train-mlogloss:1.05220	validation-mlogloss:1.05691
[36m(train_xgb_ray_tune pid=2298200)[0m [410]	train-mlogloss:1.02402	validation-mlogloss:1.02808
[36m(train_xgb_ray_tune pid=2298202)[0m [398]	train-mlogloss:0.96067	validation-mlogloss:0.97999
[36m(train_xgb_ray_tune pid=2298201)[0m [398]	train-mlogloss:0.98472	validation-mlogloss:0.99427
[36m(train_xgb_ray_tune pid=2298213)[0m [354]	train-mlogloss:1.05447	validation-mlogloss:1.05286
[36m(train_xgb_ray_tune pid=2298214)[0m [367]	train-mlogloss:1.13086	validation-mlogloss:1.12655
[36m(train_xgb_ray_tune pid=2298197)[0m [362]	train-mlogloss:0.95914	validation-mlogloss:0.97798
[36m(train_xgb_ray_tune pid=2298217)[0m [409]	train-mlogloss:0.93190	validation-mlogloss:0.96304
[36m(train_xgb_ray_tune pid=2298202)[0m [399]	train-mlogloss:0.96052	validation-mlogloss:0.97986
[36m(train_xgb_ray_tune pid=2298201)[0m [399]	train-mlogloss:0.98458	validation-mlogloss:0.99413
[36m(train_xgb_ray_tune pid=2298213)[0m [355]	train-mlogloss:1.05415	validation-mlogloss:1.05252
[36m(train_xgb_ray_tune pid=2298199)[0m [349]	train-mlogloss:1.04837	validation-mlogloss:1.04600
[36m(train_xgb_ray_tune pid=2298214)[0m [368]	train-mlogloss:1.13062	validation-mlogloss:1.12632
[36m(train_xgb_ray_tune pid=2298217)[0m [410]	train-mlogloss:0.93190	validation-mlogloss:0.96304
[36m(train_xgb_ray_tune pid=2298195)[0m [443]	train-mlogloss:1.03409	validation-mlogloss:1.03638
[36m(train_xgb_ray_tune pid=2298181)[0m [308]	train-mlogloss:1.05172	validation-mlogloss:1.05643
[36m(train_xgb_ray_tune pid=2298200)[0m [411]	train-mlogloss:1.02386	validation-mlogloss:1.02799
[36m(train_xgb_ray_tune pid=2298201)[0m [400]	train-mlogloss:0.98458	validation-mlogloss:0.99413
[36m(train_xgb_ray_tune pid=2298197)[0m [363]	train-mlogloss:0.95910	validation-mlogloss:0.97797
[36m(train_xgb_ray_tune pid=2298217)[0m [411]	train-mlogloss:0.93187	validation-mlogloss:0.96302
[36m(train_xgb_ray_tune pid=2298202)[0m [400]	train-mlogloss:0.96045	validation-mlogloss:0.97983
[36m(train_xgb_ray_tune pid=2298201)[0m [401]	train-mlogloss:0.98445	validation-mlogloss:0.99402
[36m(train_xgb_ray_tune pid=2298213)[0m [356]	train-mlogloss:1.05388	validation-mlogloss:1.05228
[36m(train_xgb_ray_tune pid=2298199)[0m [350]	train-mlogloss:1.04814	validation-mlogloss:1.04584
[36m(train_xgb_ray_tune pid=2298214)[0m [369]	train-mlogloss:1.13034	validation-mlogloss:1.12596
[36m(train_xgb_ray_tune pid=2298197)[0m [364]	train-mlogloss:0.95910	validation-mlogloss:0.97797
[36m(train_xgb_ray_tune pid=2298195)[0m [444]	train-mlogloss:1.03383	validation-mlogloss:1.03620
[36m(train_xgb_ray_tune pid=2298200)[0m [412]	train-mlogloss:1.02362	validation-mlogloss:1.02801
[36m(train_xgb_ray_tune pid=2298201)[0m [402]	train-mlogloss:0.98430	validation-mlogloss:0.99389
[36m(train_xgb_ray_tune pid=2298213)[0m [357]	train-mlogloss:1.05364	validation-mlogloss:1.05205
[36m(train_xgb_ray_tune pid=2298217)[0m [412]	train-mlogloss:0.93187	validation-mlogloss:0.96302
[36m(train_xgb_ray_tune pid=2298195)[0m [445]	train-mlogloss:1.03354	validation-mlogloss:1.03602
[36m(train_xgb_ray_tune pid=2298181)[0m [309]	train-mlogloss:1.05126	validation-mlogloss:1.05603
[36m(train_xgb_ray_tune pid=2298202)[0m [401]	train-mlogloss:0.96025	validation-mlogloss:0.97964
[36m(train_xgb_ray_tune pid=2298201)[0m [403]	train-mlogloss:0.98417	validation-mlogloss:0.99380
[36m(train_xgb_ray_tune pid=2298199)[0m [351]	train-mlogloss:1.04787	validation-mlogloss:1.04561
[36m(train_xgb_ray_tune pid=2298214)[0m [370]	train-mlogloss:1.13009	validation-mlogloss:1.12572
[36m(train_xgb_ray_tune pid=2298197)[0m [365]	train-mlogloss:0.95895	validation-mlogloss:0.97790
[36m(train_xgb_ray_tune pid=2298217)[0m [413]	train-mlogloss:0.93187	validation-mlogloss:0.96301
[36m(train_xgb_ray_tune pid=2298200)[0m [413]	train-mlogloss:1.02347	validation-mlogloss:1.02789
[36m(train_xgb_ray_tune pid=2298213)[0m [358]	train-mlogloss:1.05333	validation-mlogloss:1.05178
[36m(train_xgb_ray_tune pid=2298202)[0m [402]	train-mlogloss:0.96016	validation-mlogloss:0.97954
[36m(train_xgb_ray_tune pid=2298201)[0m [404]	train-mlogloss:0.98417	validation-mlogloss:0.99380
[36m(train_xgb_ray_tune pid=2298213)[0m [359]	train-mlogloss:1.05301	validation-mlogloss:1.05152
[36m(train_xgb_ray_tune pid=2298199)[0m [352]	train-mlogloss:1.04759	validation-mlogloss:1.04536
[36m(train_xgb_ray_tune pid=2298214)[0m [371]	train-mlogloss:1.12987	validation-mlogloss:1.12552
[36m(train_xgb_ray_tune pid=2298197)[0m [366]	train-mlogloss:0.95883	validation-mlogloss:0.97793
[36m(train_xgb_ray_tune pid=2298217)[0m [414]	train-mlogloss:0.93187	validation-mlogloss:0.96302
[36m(train_xgb_ray_tune pid=2298195)[0m [446]	train-mlogloss:1.03335	validation-mlogloss:1.03592
[36m(train_xgb_ray_tune pid=2298181)[0m [310]	train-mlogloss:1.05085	validation-mlogloss:1.05573
[36m(train_xgb_ray_tune pid=2298200)[0m [414]	train-mlogloss:1.02327	validation-mlogloss:1.02763
[36m(train_xgb_ray_tune pid=2298201)[0m [405]	train-mlogloss:0.98417	validation-mlogloss:0.99380
[36m(train_xgb_ray_tune pid=2298202)[0m [403]	train-mlogloss:0.96005	validation-mlogloss:0.97941
[36m(train_xgb_ray_tune pid=2298213)[0m [360]	train-mlogloss:1.05274	validation-mlogloss:1.05128
[36m(train_xgb_ray_tune pid=2298199)[0m [353]	train-mlogloss:1.04738	validation-mlogloss:1.04522
[36m(train_xgb_ray_tune pid=2298214)[0m [372]	train-mlogloss:1.12970	validation-mlogloss:1.12538
[36m(train_xgb_ray_tune pid=2298197)[0m [367]	train-mlogloss:0.95869	validation-mlogloss:0.97791
[36m(train_xgb_ray_tune pid=2298217)[0m [415]	train-mlogloss:0.93187	validation-mlogloss:0.96302
[36m(train_xgb_ray_tune pid=2298195)[0m [447]	train-mlogloss:1.03313	validation-mlogloss:1.03571
[36m(train_xgb_ray_tune pid=2298200)[0m [415]	train-mlogloss:1.02312	validation-mlogloss:1.02747
[36m(train_xgb_ray_tune pid=2298201)[0m [406]	train-mlogloss:0.98410	validation-mlogloss:0.99375
[36m(train_xgb_ray_tune pid=2298213)[0m [361]	train-mlogloss:1.05249	validation-mlogloss:1.05110
[36m(train_xgb_ray_tune pid=2298181)[0m [311]	train-mlogloss:1.05028	validation-mlogloss:1.05521
[36m(train_xgb_ray_tune pid=2298200)[0m [416]	train-mlogloss:1.02294	validation-mlogloss:1.02731
[36m(train_xgb_ray_tune pid=2298202)[0m [404]	train-mlogloss:0.95993	validation-mlogloss:0.97931
[36m(train_xgb_ray_tune pid=2298201)[0m [407]	train-mlogloss:0.98410	validation-mlogloss:0.99375
[36m(train_xgb_ray_tune pid=2298199)[0m [354]	train-mlogloss:1.04719	validation-mlogloss:1.04504
[36m(train_xgb_ray_tune pid=2298214)[0m [373]	train-mlogloss:1.12953	validation-mlogloss:1.12521
[36m(train_xgb_ray_tune pid=2298197)[0m [368]	train-mlogloss:0.95860	validation-mlogloss:0.97789
[36m(train_xgb_ray_tune pid=2298217)[0m [416]	train-mlogloss:0.93180	validation-mlogloss:0.96291
[36m(train_xgb_ray_tune pid=2298195)[0m [448]	train-mlogloss:1.03286	validation-mlogloss:1.03539
[36m(train_xgb_ray_tune pid=2298200)[0m [417]	train-mlogloss:1.02275	validation-mlogloss:1.02715
[36m(train_xgb_ray_tune pid=2298201)[0m [408]	train-mlogloss:0.98410	validation-mlogloss:0.99375
[36m(train_xgb_ray_tune pid=2298213)[0m [362]	train-mlogloss:1.05218	validation-mlogloss:1.05083
[36m(train_xgb_ray_tune pid=2298214)[0m [374]	train-mlogloss:1.12919	validation-mlogloss:1.12485
[36m(train_xgb_ray_tune pid=2298197)[0m [369]	train-mlogloss:0.95856	validation-mlogloss:0.97788
[36m(train_xgb_ray_tune pid=2298217)[0m [417]	train-mlogloss:0.93177	validation-mlogloss:0.96292
[36m(train_xgb_ray_tune pid=2298195)[0m [449]	train-mlogloss:1.03266	validation-mlogloss:1.03524
[36m(train_xgb_ray_tune pid=2298181)[0m [312]	train-mlogloss:1.04974	validation-mlogloss:1.05471
[36m(train_xgb_ray_tune pid=2298200)[0m [418]	train-mlogloss:1.02261	validation-mlogloss:1.02704
[36m(train_xgb_ray_tune pid=2298202)[0m [405]	train-mlogloss:0.95985	validation-mlogloss:0.97918
[36m(train_xgb_ray_tune pid=2298202)[0m [406]	train-mlogloss:0.95962	validation-mlogloss:0.97907
[36m(train_xgb_ray_tune pid=2298201)[0m [409]	train-mlogloss:0.98396	validation-mlogloss:0.99363
[36m(train_xgb_ray_tune pid=2298201)[0m [410]	train-mlogloss:0.98389	validation-mlogloss:0.99358
[36m(train_xgb_ray_tune pid=2298213)[0m [363]	train-mlogloss:1.05191	validation-mlogloss:1.05053
[36m(train_xgb_ray_tune pid=2298213)[0m [364]	train-mlogloss:1.05165	validation-mlogloss:1.05029
[36m(train_xgb_ray_tune pid=2298199)[0m [355]	train-mlogloss:1.04693	validation-mlogloss:1.04474
[36m(train_xgb_ray_tune pid=2298199)[0m [356]	train-mlogloss:1.04669	validation-mlogloss:1.04447
[36m(train_xgb_ray_tune pid=2298214)[0m [375]	train-mlogloss:1.12893	validation-mlogloss:1.12450
[36m(train_xgb_ray_tune pid=2298214)[0m [376]	train-mlogloss:1.12870	validation-mlogloss:1.12431
[36m(train_xgb_ray_tune pid=2298197)[0m [370]	train-mlogloss:0.95852	validation-mlogloss:0.97780
[36m(train_xgb_ray_tune pid=2298197)[0m [371]	train-mlogloss:0.95852	validation-mlogloss:0.97780
[36m(train_xgb_ray_tune pid=2298217)[0m [418]	train-mlogloss:0.93165	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298217)[0m [419]	train-mlogloss:0.93165	validation-mlogloss:0.96284
[36m(train_xgb_ray_tune pid=2298217)[0m [420]	train-mlogloss:0.93165	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298195)[0m [450]	train-mlogloss:1.03242	validation-mlogloss:1.03498
[36m(train_xgb_ray_tune pid=2298195)[0m [451]	train-mlogloss:1.03219	validation-mlogloss:1.03474
[36m(train_xgb_ray_tune pid=2298181)[0m [313]	train-mlogloss:1.04927	validation-mlogloss:1.05422
[36m(train_xgb_ray_tune pid=2298200)[0m [419]	train-mlogloss:1.02242	validation-mlogloss:1.02683
[36m(train_xgb_ray_tune pid=2298202)[0m [407]	train-mlogloss:0.95943	validation-mlogloss:0.97891
[36m(train_xgb_ray_tune pid=2298201)[0m [411]	train-mlogloss:0.98386	validation-mlogloss:0.99356
[36m(train_xgb_ray_tune pid=2298213)[0m [365]	train-mlogloss:1.05142	validation-mlogloss:1.05006
[36m(train_xgb_ray_tune pid=2298199)[0m [357]	train-mlogloss:1.04647	validation-mlogloss:1.04429
[36m(train_xgb_ray_tune pid=2298197)[0m [372]	train-mlogloss:0.95838	validation-mlogloss:0.97769
[36m(train_xgb_ray_tune pid=2298217)[0m [421]	train-mlogloss:0.93165	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298181)[0m [314]	train-mlogloss:1.04878	validation-mlogloss:1.05374
[36m(train_xgb_ray_tune pid=2298200)[0m [420]	train-mlogloss:1.02221	validation-mlogloss:1.02661
[36m(train_xgb_ray_tune pid=2298202)[0m [408]	train-mlogloss:0.95927	validation-mlogloss:0.97881
[36m(train_xgb_ray_tune pid=2298201)[0m [412]	train-mlogloss:0.98372	validation-mlogloss:0.99337
[36m(train_xgb_ray_tune pid=2298213)[0m [366]	train-mlogloss:1.05113	validation-mlogloss:1.04979
[36m(train_xgb_ray_tune pid=2298214)[0m [377]	train-mlogloss:1.12840	validation-mlogloss:1.12405
[36m(train_xgb_ray_tune pid=2298197)[0m [373]	train-mlogloss:0.95830	validation-mlogloss:0.97760
[36m(train_xgb_ray_tune pid=2298217)[0m [422]	train-mlogloss:0.93165	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298195)[0m [452]	train-mlogloss:1.03197	validation-mlogloss:1.03455
[36m(train_xgb_ray_tune pid=2298200)[0m [421]	train-mlogloss:1.02212	validation-mlogloss:1.02655
[36m(train_xgb_ray_tune pid=2298201)[0m [413]	train-mlogloss:0.98364	validation-mlogloss:0.99337
[36m(train_xgb_ray_tune pid=2298213)[0m [367]	train-mlogloss:1.05084	validation-mlogloss:1.04964
[36m(train_xgb_ray_tune pid=2298199)[0m [358]	train-mlogloss:1.04622	validation-mlogloss:1.04418
[36m(train_xgb_ray_tune pid=2298217)[0m [423]	train-mlogloss:0.93165	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298195)[0m [453]	train-mlogloss:1.03172	validation-mlogloss:1.03431
[36m(train_xgb_ray_tune pid=2298200)[0m [422]	train-mlogloss:1.02204	validation-mlogloss:1.02655
[36m(train_xgb_ray_tune pid=2298202)[0m [409]	train-mlogloss:0.95913	validation-mlogloss:0.97871
[36m(train_xgb_ray_tune pid=2298201)[0m [414]	train-mlogloss:0.98346	validation-mlogloss:0.99317
[36m(train_xgb_ray_tune pid=2298214)[0m [378]	train-mlogloss:1.12824	validation-mlogloss:1.12392
[36m(train_xgb_ray_tune pid=2298197)[0m [374]	train-mlogloss:0.95806	validation-mlogloss:0.97748
[36m(train_xgb_ray_tune pid=2298181)[0m [315]	train-mlogloss:1.04833	validation-mlogloss:1.05336
[36m(train_xgb_ray_tune pid=2298201)[0m [415]	train-mlogloss:0.98339	validation-mlogloss:0.99314
[36m(train_xgb_ray_tune pid=2298213)[0m [368]	train-mlogloss:1.05060	validation-mlogloss:1.04952
[36m(train_xgb_ray_tune pid=2298199)[0m [359]	train-mlogloss:1.04594	validation-mlogloss:1.04391
[36m(train_xgb_ray_tune pid=2298217)[0m [424]	train-mlogloss:0.93162	validation-mlogloss:0.96283
[36m(train_xgb_ray_tune pid=2298195)[0m [454]	train-mlogloss:1.03152	validation-mlogloss:1.03408
[36m(train_xgb_ray_tune pid=2298200)[0m [423]	train-mlogloss:1.02188	validation-mlogloss:1.02651
[36m(train_xgb_ray_tune pid=2298202)[0m [410]	train-mlogloss:0.95906	validation-mlogloss:0.97862
[36m(train_xgb_ray_tune pid=2298201)[0m [416]	train-mlogloss:0.98336	validation-mlogloss:0.99311
[36m(train_xgb_ray_tune pid=2298213)[0m [369]	train-mlogloss:1.05034	validation-mlogloss:1.04926
[36m(train_xgb_ray_tune pid=2298214)[0m [379]	train-mlogloss:1.12797	validation-mlogloss:1.12362
[36m(train_xgb_ray_tune pid=2298197)[0m [375]	train-mlogloss:0.95802	validation-mlogloss:0.97746
[36m(train_xgb_ray_tune pid=2298217)[0m [425]	train-mlogloss:0.93159	validation-mlogloss:0.96284
[36m(train_xgb_ray_tune pid=2298199)[0m [360]	train-mlogloss:1.04572	validation-mlogloss:1.04379
[36m(train_xgb_ray_tune pid=2298214)[0m [380]	train-mlogloss:1.12780	validation-mlogloss:1.12352
[36m(train_xgb_ray_tune pid=2298217)[0m [426]	train-mlogloss:0.93159	validation-mlogloss:0.96284

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.62565 │
│ time_total_s                 8.62565 │
│ training_iteration                 1 │
│ validation_accuracy          0.55548 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298195)[0m [455]	train-mlogloss:1.03130	validation-mlogloss:1.03391
[36m(train_xgb_ray_tune pid=2298181)[0m [316]	train-mlogloss:1.04786	validation-mlogloss:1.05292
[36m(train_xgb_ray_tune pid=2298200)[0m [424]	train-mlogloss:1.02176	validation-mlogloss:1.02642

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 11s
[36m(train_xgb_ray_tune pid=2298202)[0m [411]	train-mlogloss:0.95891	validation-mlogloss:0.97848
[36m(train_xgb_ray_tune pid=2298201)[0m [417]	train-mlogloss:0.98328	validation-mlogloss:0.99305
[36m(train_xgb_ray_tune pid=2298201)[0m [418]	train-mlogloss:0.98328	validation-mlogloss:0.99305
[36m(train_xgb_ray_tune pid=2298213)[0m [370]	train-mlogloss:1.05009	validation-mlogloss:1.04905
[36m(train_xgb_ray_tune pid=2298199)[0m [361]	train-mlogloss:1.04554	validation-mlogloss:1.04362
[36m(train_xgb_ray_tune pid=2298197)[0m [376]	train-mlogloss:0.95802	validation-mlogloss:0.97746
[36m(train_xgb_ray_tune pid=2298217)[0m [427]	train-mlogloss:0.93151	validation-mlogloss:0.96275

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.40997 │
│ time_total_s                 8.40997 │
│ training_iteration                 1 │
│ validation_accuracy          0.59831 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298214)[0m [381]	train-mlogloss:1.12763	validation-mlogloss:1.12332
[36m(train_xgb_ray_tune pid=2298197)[0m [377]	train-mlogloss:0.95784	validation-mlogloss:0.97732
[36m(train_xgb_ray_tune pid=2298217)[0m [428]	train-mlogloss:0.93151	validation-mlogloss:0.96275
[36m(train_xgb_ray_tune pid=2298195)[0m [456]	train-mlogloss:1.03107	validation-mlogloss:1.03365

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 11s
[36m(train_xgb_ray_tune pid=2298181)[0m [317]	train-mlogloss:1.04746	validation-mlogloss:1.05256
[36m(train_xgb_ray_tune pid=2298200)[0m [425]	train-mlogloss:1.02166	validation-mlogloss:1.02641
[36m(train_xgb_ray_tune pid=2298202)[0m [412]	train-mlogloss:0.95875	validation-mlogloss:0.97839
[36m(train_xgb_ray_tune pid=2298202)[0m [413]	train-mlogloss:0.95864	validation-mlogloss:0.97824
[36m(train_xgb_ray_tune pid=2298201)[0m [419]	train-mlogloss:0.98321	validation-mlogloss:0.99297
[36m(train_xgb_ray_tune pid=2298201)[0m [420]	train-mlogloss:0.98307	validation-mlogloss:0.99279
[36m(train_xgb_ray_tune pid=2298213)[0m [371]	train-mlogloss:1.04980	validation-mlogloss:1.04876
[36m(train_xgb_ray_tune pid=2298213)[0m [372]	train-mlogloss:1.04952	validation-mlogloss:1.04849
[36m(train_xgb_ray_tune pid=2298199)[0m [362]	train-mlogloss:1.04523	validation-mlogloss:1.04329
[36m(train_xgb_ray_tune pid=2298214)[0m [382]	train-mlogloss:1.12735	validation-mlogloss:1.12295
[36m(train_xgb_ray_tune pid=2298197)[0m [378]	train-mlogloss:0.95769	validation-mlogloss:0.97723
[36m(train_xgb_ray_tune pid=2298217)[0m [429]	train-mlogloss:0.93151	validation-mlogloss:0.96275
[36m(train_xgb_ray_tune pid=2298195)[0m [457]	train-mlogloss:1.03086	validation-mlogloss:1.03341
[36m(train_xgb_ray_tune pid=2298181)[0m [318]	train-mlogloss:1.04693	validation-mlogloss:1.05205
[36m(train_xgb_ray_tune pid=2298200)[0m [426]	train-mlogloss:1.02157	validation-mlogloss:1.02641
[36m(train_xgb_ray_tune pid=2298202)[0m [414]	train-mlogloss:0.95857	validation-mlogloss:0.97816
[36m(train_xgb_ray_tune pid=2298201)[0m [421]	train-mlogloss:0.98297	validation-mlogloss:0.99266
[36m(train_xgb_ray_tune pid=2298201)[0m [422]	train-mlogloss:0.98297	validation-mlogloss:0.99266
[36m(train_xgb_ray_tune pid=2298213)[0m [373]	train-mlogloss:1.04923	validation-mlogloss:1.04824
[36m(train_xgb_ray_tune pid=2298199)[0m [363]	train-mlogloss:1.04506	validation-mlogloss:1.04315
[36m(train_xgb_ray_tune pid=2298214)[0m [383]	train-mlogloss:1.12718	validation-mlogloss:1.12279
[36m(train_xgb_ray_tune pid=2298197)[0m [379]	train-mlogloss:0.95762	validation-mlogloss:0.97718
[36m(train_xgb_ray_tune pid=2298217)[0m [430]	train-mlogloss:0.93151	validation-mlogloss:0.96275
[36m(train_xgb_ray_tune pid=2298217)[0m [431]	train-mlogloss:0.93151	validation-mlogloss:0.96275
[36m(train_xgb_ray_tune pid=2298200)[0m [427]	train-mlogloss:1.02142	validation-mlogloss:1.02631
[36m(train_xgb_ray_tune pid=2298201)[0m [423]	train-mlogloss:0.98284	validation-mlogloss:0.99255
[36m(train_xgb_ray_tune pid=2298213)[0m [374]	train-mlogloss:1.04895	validation-mlogloss:1.04804
[36m(train_xgb_ray_tune pid=2298197)[0m [380]	train-mlogloss:0.95762	validation-mlogloss:0.97718
[36m(train_xgb_ray_tune pid=2298195)[0m [458]	train-mlogloss:1.03059	validation-mlogloss:1.03311
[36m(train_xgb_ray_tune pid=2298181)[0m [319]	train-mlogloss:1.04644	validation-mlogloss:1.05160
[36m(train_xgb_ray_tune pid=2298202)[0m [415]	train-mlogloss:0.95846	validation-mlogloss:0.97806
[36m(train_xgb_ray_tune pid=2298201)[0m [424]	train-mlogloss:0.98270	validation-mlogloss:0.99250
[36m(train_xgb_ray_tune pid=2298199)[0m [364]	train-mlogloss:1.04480	validation-mlogloss:1.04296
[36m(train_xgb_ray_tune pid=2298214)[0m [384]	train-mlogloss:1.12701	validation-mlogloss:1.12263
[36m(train_xgb_ray_tune pid=2298217)[0m [432]	train-mlogloss:0.93148	validation-mlogloss:0.96277
[36m(train_xgb_ray_tune pid=2298200)[0m [428]	train-mlogloss:1.02122	validation-mlogloss:1.02625
[36m(train_xgb_ray_tune pid=2298202)[0m [416]	train-mlogloss:0.95846	validation-mlogloss:0.97806
[36m(train_xgb_ray_tune pid=2298201)[0m [425]	train-mlogloss:0.98270	validation-mlogloss:0.99249
[36m(train_xgb_ray_tune pid=2298213)[0m [375]	train-mlogloss:1.04867	validation-mlogloss:1.04782
[36m(train_xgb_ray_tune pid=2298199)[0m [365]	train-mlogloss:1.04457	validation-mlogloss:1.04280
[36m(train_xgb_ray_tune pid=2298214)[0m [385]	train-mlogloss:1.12685	validation-mlogloss:1.12250
[36m(train_xgb_ray_tune pid=2298197)[0m [381]	train-mlogloss:0.95755	validation-mlogloss:0.97713
[36m(train_xgb_ray_tune pid=2298197)[0m [382]	train-mlogloss:0.95751	validation-mlogloss:0.97710
[36m(train_xgb_ray_tune pid=2298217)[0m [433]	train-mlogloss:0.93148	validation-mlogloss:0.96277
[36m(train_xgb_ray_tune pid=2298217)[0m [434]	train-mlogloss:0.93141	validation-mlogloss:0.96272
[36m(train_xgb_ray_tune pid=2298195)[0m [459]	train-mlogloss:1.03036	validation-mlogloss:1.03285
[36m(train_xgb_ray_tune pid=2298181)[0m [320]	train-mlogloss:1.04605	validation-mlogloss:1.05132
[36m(train_xgb_ray_tune pid=2298200)[0m [429]	train-mlogloss:1.02100	validation-mlogloss:1.02609
[36m(train_xgb_ray_tune pid=2298200)[0m [430]	train-mlogloss:1.02085	validation-mlogloss:1.02590
[36m(train_xgb_ray_tune pid=2298202)[0m [417]	train-mlogloss:0.95833	validation-mlogloss:0.97803
[36m(train_xgb_ray_tune pid=2298201)[0m [426]	train-mlogloss:0.98270	validation-mlogloss:0.99249
[36m(train_xgb_ray_tune pid=2298201)[0m [427]	train-mlogloss:0.98258	validation-mlogloss:0.99241
[36m(train_xgb_ray_tune pid=2298213)[0m [376]	train-mlogloss:1.04838	validation-mlogloss:1.04751
[36m(train_xgb_ray_tune pid=2298213)[0m [377]	train-mlogloss:1.04812	validation-mlogloss:1.04727
[36m(train_xgb_ray_tune pid=2298199)[0m [366]	train-mlogloss:1.04436	validation-mlogloss:1.04262
[36m(train_xgb_ray_tune pid=2298214)[0m [386]	train-mlogloss:1.12668	validation-mlogloss:1.12232
[36m(train_xgb_ray_tune pid=2298197)[0m [383]	train-mlogloss:0.95743	validation-mlogloss:0.97710
[36m(train_xgb_ray_tune pid=2298217)[0m [435]	train-mlogloss:0.93130	validation-mlogloss:0.96270
[36m(train_xgb_ray_tune pid=2298195)[0m [460]	train-mlogloss:1.03016	validation-mlogloss:1.03261
[36m(train_xgb_ray_tune pid=2298195)[0m [461]	train-mlogloss:1.02994	validation-mlogloss:1.03242
[36m(train_xgb_ray_tune pid=2298181)[0m [321]	train-mlogloss:1.04556	validation-mlogloss:1.05083
[36m(train_xgb_ray_tune pid=2298200)[0m [431]	train-mlogloss:1.02073	validation-mlogloss:1.02577
[36m(train_xgb_ray_tune pid=2298202)[0m [418]	train-mlogloss:0.95830	validation-mlogloss:0.97802
[36m(train_xgb_ray_tune pid=2298202)[0m [419]	train-mlogloss:0.95823	validation-mlogloss:0.97805
[36m(train_xgb_ray_tune pid=2298201)[0m [428]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298213)[0m [378]	train-mlogloss:1.04785	validation-mlogloss:1.04699
[36m(train_xgb_ray_tune pid=2298199)[0m [367]	train-mlogloss:1.04412	validation-mlogloss:1.04232
[36m(train_xgb_ray_tune pid=2298199)[0m [368]	train-mlogloss:1.04389	validation-mlogloss:1.04209
[36m(train_xgb_ray_tune pid=2298214)[0m [387]	train-mlogloss:1.12652	validation-mlogloss:1.12219
[36m(train_xgb_ray_tune pid=2298214)[0m [388]	train-mlogloss:1.12635	validation-mlogloss:1.12206
[36m(train_xgb_ray_tune pid=2298197)[0m [384]	train-mlogloss:0.95740	validation-mlogloss:0.97705
[36m(train_xgb_ray_tune pid=2298217)[0m [436]	train-mlogloss:0.93130	validation-mlogloss:0.96270
[36m(train_xgb_ray_tune pid=2298195)[0m [462]	train-mlogloss:1.02974	validation-mlogloss:1.03233
[36m(train_xgb_ray_tune pid=2298181)[0m [322]	train-mlogloss:1.04516	validation-mlogloss:1.05042
[36m(train_xgb_ray_tune pid=2298200)[0m [432]	train-mlogloss:1.02058	validation-mlogloss:1.02561
[36m(train_xgb_ray_tune pid=2298202)[0m [420]	train-mlogloss:0.95812	validation-mlogloss:0.97799
[36m(train_xgb_ray_tune pid=2298201)[0m [429]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298201)[0m [430]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298213)[0m [379]	train-mlogloss:1.04759	validation-mlogloss:1.04671
[36m(train_xgb_ray_tune pid=2298199)[0m [369]	train-mlogloss:1.04369	validation-mlogloss:1.04188
[36m(train_xgb_ray_tune pid=2298197)[0m [385]	train-mlogloss:0.95732	validation-mlogloss:0.97707
[36m(train_xgb_ray_tune pid=2298217)[0m [437]	train-mlogloss:0.93116	validation-mlogloss:0.96246
[36m(train_xgb_ray_tune pid=2298195)[0m [463]	train-mlogloss:1.02950	validation-mlogloss:1.03212
[36m(train_xgb_ray_tune pid=2298200)[0m [433]	train-mlogloss:1.02048	validation-mlogloss:1.02553
[36m(train_xgb_ray_tune pid=2298201)[0m [431]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298199)[0m [370]	train-mlogloss:1.04344	validation-mlogloss:1.04159
[36m(train_xgb_ray_tune pid=2298214)[0m [389]	train-mlogloss:1.12608	validation-mlogloss:1.12175
[36m(train_xgb_ray_tune pid=2298195)[0m [464]	train-mlogloss:1.02929	validation-mlogloss:1.03195
[36m(train_xgb_ray_tune pid=2298181)[0m [323]	train-mlogloss:1.04468	validation-mlogloss:1.04997
[36m(train_xgb_ray_tune pid=2298200)[0m [434]	train-mlogloss:1.02032	validation-mlogloss:1.02537
[36m(train_xgb_ray_tune pid=2298202)[0m [421]	train-mlogloss:0.95806	validation-mlogloss:0.97796
[36m(train_xgb_ray_tune pid=2298213)[0m [380]	train-mlogloss:1.04732	validation-mlogloss:1.04643
[36m(train_xgb_ray_tune pid=2298197)[0m [386]	train-mlogloss:0.95732	validation-mlogloss:0.97707
[36m(train_xgb_ray_tune pid=2298217)[0m [438]	train-mlogloss:0.93116	validation-mlogloss:0.96246
[36m(train_xgb_ray_tune pid=2298200)[0m [435]	train-mlogloss:1.02022	validation-mlogloss:1.02530
[36m(train_xgb_ray_tune pid=2298202)[0m [422]	train-mlogloss:0.95803	validation-mlogloss:0.97794
[36m(train_xgb_ray_tune pid=2298201)[0m [432]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298199)[0m [371]	train-mlogloss:1.04323	validation-mlogloss:1.04147
[36m(train_xgb_ray_tune pid=2298214)[0m [390]	train-mlogloss:1.12592	validation-mlogloss:1.12156
[36m(train_xgb_ray_tune pid=2298197)[0m [387]	train-mlogloss:0.95729	validation-mlogloss:0.97705
[36m(train_xgb_ray_tune pid=2298195)[0m [465]	train-mlogloss:1.02910	validation-mlogloss:1.03168
[36m(train_xgb_ray_tune pid=2298200)[0m [436]	train-mlogloss:1.02002	validation-mlogloss:1.02511
[36m(train_xgb_ray_tune pid=2298201)[0m [433]	train-mlogloss:0.98251	validation-mlogloss:0.99236
[36m(train_xgb_ray_tune pid=2298213)[0m [381]	train-mlogloss:1.04707	validation-mlogloss:1.04619
[36m(train_xgb_ray_tune pid=2298199)[0m [372]	train-mlogloss:1.04296	validation-mlogloss:1.04125
[36m(train_xgb_ray_tune pid=2298217)[0m [439]	train-mlogloss:0.93116	validation-mlogloss:0.96246
[36m(train_xgb_ray_tune pid=2298195)[0m [466]	train-mlogloss:1.02888	validation-mlogloss:1.03155
[36m(train_xgb_ray_tune pid=2298181)[0m [324]	train-mlogloss:1.04421	validation-mlogloss:1.04959
[36m(train_xgb_ray_tune pid=2298202)[0m [423]	train-mlogloss:0.95787	validation-mlogloss:0.97784
[36m(train_xgb_ray_tune pid=2298214)[0m [391]	train-mlogloss:1.12575	validation-mlogloss:1.12137
[36m(train_xgb_ray_tune pid=2298197)[0m [388]	train-mlogloss:0.95727	validation-mlogloss:0.97705
[36m(train_xgb_ray_tune pid=2298200)[0m [437]	train-mlogloss:1.01995	validation-mlogloss:1.02505
[36m(train_xgb_ray_tune pid=2298201)[0m [434]	train-mlogloss:0.98243	validation-mlogloss:0.99230
[36m(train_xgb_ray_tune pid=2298213)[0m [382]	train-mlogloss:1.04682	validation-mlogloss:1.04593
[36m(train_xgb_ray_tune pid=2298199)[0m [373]	train-mlogloss:1.04275	validation-mlogloss:1.04107
[36m(train_xgb_ray_tune pid=2298217)[0m [440]	train-mlogloss:0.93116	validation-mlogloss:0.96246
[36m(train_xgb_ray_tune pid=2298195)[0m [467]	train-mlogloss:1.02870	validation-mlogloss:1.03145
[36m(train_xgb_ray_tune pid=2298200)[0m [438]	train-mlogloss:1.01977	validation-mlogloss:1.02494
[36m(train_xgb_ray_tune pid=2298201)[0m [435]	train-mlogloss:0.98243	validation-mlogloss:0.99230
[36m(train_xgb_ray_tune pid=2298199)[0m [374]	train-mlogloss:1.04249	validation-mlogloss:1.04095
[36m(train_xgb_ray_tune pid=2298214)[0m [392]	train-mlogloss:1.12546	validation-mlogloss:1.12109
[36m(train_xgb_ray_tune pid=2298197)[0m [389]	train-mlogloss:0.95723	validation-mlogloss:0.97698
[36m(train_xgb_ray_tune pid=2298181)[0m [325]	train-mlogloss:1.04376	validation-mlogloss:1.04912
[36m(train_xgb_ray_tune pid=2298202)[0m [424]	train-mlogloss:0.95774	validation-mlogloss:0.97776
[36m(train_xgb_ray_tune pid=2298201)[0m [436]	train-mlogloss:0.98243	validation-mlogloss:0.99230
[36m(train_xgb_ray_tune pid=2298213)[0m [383]	train-mlogloss:1.04657	validation-mlogloss:1.04570
[36m(train_xgb_ray_tune pid=2298217)[0m [441]	train-mlogloss:0.93116	validation-mlogloss:0.96246
[36m(train_xgb_ray_tune pid=2298195)[0m [468]	train-mlogloss:1.02852	validation-mlogloss:1.03135
[36m(train_xgb_ray_tune pid=2298200)[0m [439]	train-mlogloss:1.01958	validation-mlogloss:1.02473
[36m(train_xgb_ray_tune pid=2298199)[0m [375]	train-mlogloss:1.04225	validation-mlogloss:1.04074
[36m(train_xgb_ray_tune pid=2298197)[0m [390]	train-mlogloss:0.95711	validation-mlogloss:0.97694
[36m(train_xgb_ray_tune pid=2298200)[0m [440]	train-mlogloss:1.01942	validation-mlogloss:1.02453
[36m(train_xgb_ray_tune pid=2298202)[0m [425]	train-mlogloss:0.95768	validation-mlogloss:0.97772
[36m(train_xgb_ray_tune pid=2298201)[0m [437]	train-mlogloss:0.98243	validation-mlogloss:0.99229
[36m(train_xgb_ray_tune pid=2298213)[0m [384]	train-mlogloss:1.04638	validation-mlogloss:1.04559
[36m(train_xgb_ray_tune pid=2298199)[0m [376]	train-mlogloss:1.04209	validation-mlogloss:1.04062
[36m(train_xgb_ray_tune pid=2298214)[0m [393]	train-mlogloss:1.12529	validation-mlogloss:1.12095
[36m(train_xgb_ray_tune pid=2298217)[0m [442]	train-mlogloss:0.93113	validation-mlogloss:0.96248
[36m(train_xgb_ray_tune pid=2298195)[0m [469]	train-mlogloss:1.02828	validation-mlogloss:1.03116
[36m(train_xgb_ray_tune pid=2298181)[0m [326]	train-mlogloss:1.04335	validation-mlogloss:1.04880
[36m(train_xgb_ray_tune pid=2298200)[0m [441]	train-mlogloss:1.01929	validation-mlogloss:1.02442
[36m(train_xgb_ray_tune pid=2298202)[0m [426]	train-mlogloss:0.95753	validation-mlogloss:0.97767
[36m(train_xgb_ray_tune pid=2298201)[0m [438]	train-mlogloss:0.98243	validation-mlogloss:0.99229
[36m(train_xgb_ray_tune pid=2298213)[0m [385]	train-mlogloss:1.04618	validation-mlogloss:1.04538
[36m(train_xgb_ray_tune pid=2298199)[0m [377]	train-mlogloss:1.04180	validation-mlogloss:1.04034
[36m(train_xgb_ray_tune pid=2298214)[0m [394]	train-mlogloss:1.12512	validation-mlogloss:1.12081
[36m(train_xgb_ray_tune pid=2298197)[0m [391]	train-mlogloss:0.95711	validation-mlogloss:0.97693
[36m(train_xgb_ray_tune pid=2298217)[0m [443]	train-mlogloss:0.93113	validation-mlogloss:0.96247
[36m(train_xgb_ray_tune pid=2298195)[0m [470]	train-mlogloss:1.02803	validation-mlogloss:1.03103
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[36m(train_xgb_ray_tune pid=2298195)[0m [519]	train-mlogloss:1.01913	validation-mlogloss:1.02393
[36m(train_xgb_ray_tune pid=2298213)[0m [413]	train-mlogloss:1.04001	validation-mlogloss:1.04007
[36m(train_xgb_ray_tune pid=2298195)[0m [520]	train-mlogloss:1.01901	validation-mlogloss:1.02381
[36m(train_xgb_ray_tune pid=2298181)[0m [348]	train-mlogloss:1.03429	validation-mlogloss:1.04079
[36m(train_xgb_ray_tune pid=2298202)[0m [459]	train-mlogloss:0.95454	validation-mlogloss:0.97541
[36m(train_xgb_ray_tune pid=2298199)[0m [421]	train-mlogloss:1.03340	validation-mlogloss:1.03352
[36m(train_xgb_ray_tune pid=2298197)[0m [425]	train-mlogloss:0.95483	validation-mlogloss:0.97525
[36m(train_xgb_ray_tune pid=2298200)[0m [474]	train-mlogloss:1.01493	validation-mlogloss:1.02113
[36m(train_xgb_ray_tune pid=2298214)[0m [424]	train-mlogloss:1.11907	validation-mlogloss:1.11480
[36m(train_xgb_ray_tune pid=2298213)[0m [414]	train-mlogloss:1.03979	validation-mlogloss:1.03984
[36m(train_xgb_ray_tune pid=2298199)[0m [422]	train-mlogloss:1.03317	validation-mlogloss:1.03338
[36m(train_xgb_ray_tune pid=2298202)[0m [460]	train-mlogloss:0.95454	validation-mlogloss:0.97541
[36m(train_xgb_ray_tune pid=2298197)[0m [426]	train-mlogloss:0.95464	validation-mlogloss:0.97517
[36m(train_xgb_ray_tune pid=2298181)[0m [349]	train-mlogloss:1.03391	validation-mlogloss:1.04049
[36m(train_xgb_ray_tune pid=2298200)[0m [475]	train-mlogloss:1.01483	validation-mlogloss:1.02103
[36m(train_xgb_ray_tune pid=2298199)[0m [423]	train-mlogloss:1.03308	validation-mlogloss:1.03334
[36m(train_xgb_ray_tune pid=2298214)[0m [425]	train-mlogloss:1.11879	validation-mlogloss:1.11453
[36m(train_xgb_ray_tune pid=2298202)[0m [461]	train-mlogloss:0.95454	validation-mlogloss:0.97540
[36m(train_xgb_ray_tune pid=2298213)[0m [415]	train-mlogloss:1.03956	validation-mlogloss:1.03960
[36m(train_xgb_ray_tune pid=2298199)[0m [424]	train-mlogloss:1.03294	validation-mlogloss:1.03322
[36m(train_xgb_ray_tune pid=2298197)[0m [427]	train-mlogloss:0.95450	validation-mlogloss:0.97499
[36m(train_xgb_ray_tune pid=2298200)[0m [476]	train-mlogloss:1.01471	validation-mlogloss:1.02093
[36m(train_xgb_ray_tune pid=2298199)[0m [425]	train-mlogloss:1.03272	validation-mlogloss:1.03299
[36m(train_xgb_ray_tune pid=2298214)[0m [426]	train-mlogloss:1.11863	validation-mlogloss:1.11441
[36m(train_xgb_ray_tune pid=2298181)[0m [350]	train-mlogloss:1.03347	validation-mlogloss:1.04012
[36m(train_xgb_ray_tune pid=2298202)[0m [462]	train-mlogloss:0.95448	validation-mlogloss:0.97540
[36m(train_xgb_ray_tune pid=2298213)[0m [416]	train-mlogloss:1.03938	validation-mlogloss:1.03943
[36m(train_xgb_ray_tune pid=2298199)[0m [426]	train-mlogloss:1.03253	validation-mlogloss:1.03281
[36m(train_xgb_ray_tune pid=2298197)[0m [428]	train-mlogloss:0.95440	validation-mlogloss:0.97487
[36m(train_xgb_ray_tune pid=2298200)[0m [477]	train-mlogloss:1.01459	validation-mlogloss:1.02076
[36m(train_xgb_ray_tune pid=2298214)[0m [427]	train-mlogloss:1.11849	validation-mlogloss:1.11429
[36m(train_xgb_ray_tune pid=2298202)[0m [463]	train-mlogloss:0.95438	validation-mlogloss:0.97532
[36m(train_xgb_ray_tune pid=2298213)[0m [417]	train-mlogloss:1.03919	validation-mlogloss:1.03924
[36m(train_xgb_ray_tune pid=2298199)[0m [427]	train-mlogloss:1.03236	validation-mlogloss:1.03264
[36m(train_xgb_ray_tune pid=2298197)[0m [429]	train-mlogloss:0.95440	validation-mlogloss:0.97487
[36m(train_xgb_ray_tune pid=2298181)[0m [351]	train-mlogloss:1.03304	validation-mlogloss:1.03977
[36m(train_xgb_ray_tune pid=2298200)[0m [478]	train-mlogloss:1.01449	validation-mlogloss:1.02065
[36m(train_xgb_ray_tune pid=2298199)[0m [428]	train-mlogloss:1.03213	validation-mlogloss:1.03238
[36m(train_xgb_ray_tune pid=2298214)[0m [428]	train-mlogloss:1.11834	validation-mlogloss:1.11420
[36m(train_xgb_ray_tune pid=2298202)[0m [464]	train-mlogloss:0.95435	validation-mlogloss:0.97532
[36m(train_xgb_ray_tune pid=2298197)[0m [430]	train-mlogloss:0.95432	validation-mlogloss:0.97479
[36m(train_xgb_ray_tune pid=2298200)[0m [479]	train-mlogloss:1.01431	validation-mlogloss:1.02044
[36m(train_xgb_ray_tune pid=2298213)[0m [418]	train-mlogloss:1.03900	validation-mlogloss:1.03905
[36m(train_xgb_ray_tune pid=2298199)[0m [429]	train-mlogloss:1.03188	validation-mlogloss:1.03220
[36m(train_xgb_ray_tune pid=2298181)[0m [352]	train-mlogloss:1.03262	validation-mlogloss:1.03938
[36m(train_xgb_ray_tune pid=2298202)[0m [465]	train-mlogloss:0.95435	validation-mlogloss:0.97532
[36m(train_xgb_ray_tune pid=2298214)[0m [429]	train-mlogloss:1.11818	validation-mlogloss:1.11411
[36m(train_xgb_ray_tune pid=2298197)[0m [431]	train-mlogloss:0.95425	validation-mlogloss:0.97472
[36m(train_xgb_ray_tune pid=2298213)[0m [419]	train-mlogloss:1.03882	validation-mlogloss:1.03889
[36m(train_xgb_ray_tune pid=2298199)[0m [430]	train-mlogloss:1.03178	validation-mlogloss:1.03211
[36m(train_xgb_ray_tune pid=2298200)[0m [480]	train-mlogloss:1.01412	validation-mlogloss:1.02029
[36m(train_xgb_ray_tune pid=2298202)[0m [466]	train-mlogloss:0.95432	validation-mlogloss:0.97532
[36m(train_xgb_ray_tune pid=2298214)[0m [430]	train-mlogloss:1.11804	validation-mlogloss:1.11397
[36m(train_xgb_ray_tune pid=2298199)[0m [431]	train-mlogloss:1.03156	validation-mlogloss:1.03187
[36m(train_xgb_ray_tune pid=2298197)[0m [432]	train-mlogloss:0.95423	validation-mlogloss:0.97467
[36m(train_xgb_ray_tune pid=2298181)[0m [353]	train-mlogloss:1.03225	validation-mlogloss:1.03905
[36m(train_xgb_ray_tune pid=2298200)[0m [481]	train-mlogloss:1.01395	validation-mlogloss:1.02010
[36m(train_xgb_ray_tune pid=2298202)[0m [467]	train-mlogloss:0.95424	validation-mlogloss:0.97520
[36m(train_xgb_ray_tune pid=2298213)[0m [420]	train-mlogloss:1.03856	validation-mlogloss:1.03864
[36m(train_xgb_ray_tune pid=2298214)[0m [431]	train-mlogloss:1.11779	validation-mlogloss:1.11369
[36m(train_xgb_ray_tune pid=2298197)[0m [433]	train-mlogloss:0.95423	validation-mlogloss:0.97467
[36m(train_xgb_ray_tune pid=2298199)[0m [432]	train-mlogloss:1.03142	validation-mlogloss:1.03177
[36m(train_xgb_ray_tune pid=2298200)[0m [482]	train-mlogloss:1.01388	validation-mlogloss:1.02006
[36m(train_xgb_ray_tune pid=2298202)[0m [468]	train-mlogloss:0.95421	validation-mlogloss:0.97518
[36m(train_xgb_ray_tune pid=2298213)[0m [421]	train-mlogloss:1.03836	validation-mlogloss:1.03847
[36m(train_xgb_ray_tune pid=2298199)[0m [433]	train-mlogloss:1.03121	validation-mlogloss:1.03150
[36m(train_xgb_ray_tune pid=2298197)[0m [434]	train-mlogloss:0.95423	validation-mlogloss:0.97466
[36m(train_xgb_ray_tune pid=2298181)[0m [354]	train-mlogloss:1.03187	validation-mlogloss:1.03874
[36m(train_xgb_ray_tune pid=2298214)[0m [432]	train-mlogloss:1.11764	validation-mlogloss:1.11355
[36m(train_xgb_ray_tune pid=2298202)[0m [469]	train-mlogloss:0.95421	validation-mlogloss:0.97518
[36m(train_xgb_ray_tune pid=2298199)[0m [434]	train-mlogloss:1.03111	validation-mlogloss:1.03141
[36m(train_xgb_ray_tune pid=2298197)[0m [435]	train-mlogloss:0.95423	validation-mlogloss:0.97467
[36m(train_xgb_ray_tune pid=2298200)[0m [483]	train-mlogloss:1.01376	validation-mlogloss:1.01997
[36m(train_xgb_ray_tune pid=2298213)[0m [422]	train-mlogloss:1.03817	validation-mlogloss:1.03831
[36m(train_xgb_ray_tune pid=2298199)[0m [435]	train-mlogloss:1.03097	validation-mlogloss:1.03130
[36m(train_xgb_ray_tune pid=2298214)[0m [433]	train-mlogloss:1.11740	validation-mlogloss:1.11328
[36m(train_xgb_ray_tune pid=2298181)[0m [355]	train-mlogloss:1.03152	validation-mlogloss:1.03844
[36m(train_xgb_ray_tune pid=2298202)[0m [470]	train-mlogloss:0.95411	validation-mlogloss:0.97511
[36m(train_xgb_ray_tune pid=2298197)[0m [436]	train-mlogloss:0.95423	validation-mlogloss:0.97466
[36m(train_xgb_ray_tune pid=2298200)[0m [484]	train-mlogloss:1.01366	validation-mlogloss:1.01981
[36m(train_xgb_ray_tune pid=2298213)[0m [423]	train-mlogloss:1.03800	validation-mlogloss:1.03815
[36m(train_xgb_ray_tune pid=2298199)[0m [436]	train-mlogloss:1.03087	validation-mlogloss:1.03121
[36m(train_xgb_ray_tune pid=2298214)[0m [434]	train-mlogloss:1.11725	validation-mlogloss:1.11314
[36m(train_xgb_ray_tune pid=2298202)[0m [471]	train-mlogloss:0.95408	validation-mlogloss:0.97510
[36m(train_xgb_ray_tune pid=2298199)[0m [437]	train-mlogloss:1.03067	validation-mlogloss:1.03094
[36m(train_xgb_ray_tune pid=2298197)[0m [437]	train-mlogloss:0.95423	validation-mlogloss:0.97467
[36m(train_xgb_ray_tune pid=2298181)[0m [356]	train-mlogloss:1.03119	validation-mlogloss:1.03817
[36m(train_xgb_ray_tune pid=2298200)[0m [485]	train-mlogloss:1.01355	validation-mlogloss:1.01965
[36m(train_xgb_ray_tune pid=2298213)[0m [424]	train-mlogloss:1.03779	validation-mlogloss:1.03806
[36m(train_xgb_ray_tune pid=2298199)[0m [438]	train-mlogloss:1.03053	validation-mlogloss:1.03089
[36m(train_xgb_ray_tune pid=2298214)[0m [435]	train-mlogloss:1.11710	validation-mlogloss:1.11302
[36m(train_xgb_ray_tune pid=2298202)[0m [472]	train-mlogloss:0.95405	validation-mlogloss:0.97508
[36m(train_xgb_ray_tune pid=2298197)[0m [438]	train-mlogloss:0.95411	validation-mlogloss:0.97454
[36m(train_xgb_ray_tune pid=2298200)[0m [486]	train-mlogloss:1.01344	validation-mlogloss:1.01958
[36m(train_xgb_ray_tune pid=2298199)[0m [439]	train-mlogloss:1.03035	validation-mlogloss:1.03076
[36m(train_xgb_ray_tune pid=2298181)[0m [357]	train-mlogloss:1.03083	validation-mlogloss:1.03777
[36m(train_xgb_ray_tune pid=2298202)[0m [473]	train-mlogloss:0.95405	validation-mlogloss:0.97508
[36m(train_xgb_ray_tune pid=2298213)[0m [425]	train-mlogloss:1.03755	validation-mlogloss:1.03785
[36m(train_xgb_ray_tune pid=2298214)[0m [436]	train-mlogloss:1.11696	validation-mlogloss:1.11294
[36m(train_xgb_ray_tune pid=2298197)[0m [439]	train-mlogloss:0.95411	validation-mlogloss:0.97454

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              9.0597 │
│ time_total_s                  9.0597 │
│ training_iteration                 1 │
│ validation_accuracy          0.62324 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298200)[0m [487]	train-mlogloss:1.01334	validation-mlogloss:1.01955
[36m(train_xgb_ray_tune pid=2298199)[0m [440]	train-mlogloss:1.03021	validation-mlogloss:1.03063
[36m(train_xgb_ray_tune pid=2298202)[0m [474]	train-mlogloss:0.95395	validation-mlogloss:0.97499
[36m(train_xgb_ray_tune pid=2298199)[0m [441]	train-mlogloss:1.02999	validation-mlogloss:1.03039

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 12s
[36m(train_xgb_ray_tune pid=2298213)[0m [426]	train-mlogloss:1.03738	validation-mlogloss:1.03768

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.01923 │
│ time_total_s                 9.01923 │
│ training_iteration                 1 │
│ validation_accuracy          0.61903 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298214)[0m [437]	train-mlogloss:1.11673	validation-mlogloss:1.11268
[36m(train_xgb_ray_tune pid=2298197)[0m [440]	train-mlogloss:0.95402	validation-mlogloss:0.97444
[36m(train_xgb_ray_tune pid=2298181)[0m [358]	train-mlogloss:1.03041	validation-mlogloss:1.03737
[36m(train_xgb_ray_tune pid=2298200)[0m [488]	train-mlogloss:1.01325	validation-mlogloss:1.01950
[36m(train_xgb_ray_tune pid=2298199)[0m [442]	train-mlogloss:1.02982	validation-mlogloss:1.03023
[36m(train_xgb_ray_tune pid=2298197)[0m [441]	train-mlogloss:0.95402	validation-mlogloss:0.97444

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 12s
[36m(train_xgb_ray_tune pid=2298202)[0m [475]	train-mlogloss:0.95385	validation-mlogloss:0.97483
[36m(train_xgb_ray_tune pid=2298213)[0m [427]	train-mlogloss:1.03720	validation-mlogloss:1.03753
[36m(train_xgb_ray_tune pid=2298214)[0m [438]	train-mlogloss:1.11658	validation-mlogloss:1.11255
[36m(train_xgb_ray_tune pid=2298197)[0m [442]	train-mlogloss:0.95402	validation-mlogloss:0.97444
[36m(train_xgb_ray_tune pid=2298200)[0m [489]	train-mlogloss:1.01307	validation-mlogloss:1.01929
[36m(train_xgb_ray_tune pid=2298199)[0m [443]	train-mlogloss:1.02972	validation-mlogloss:1.03012
[36m(train_xgb_ray_tune pid=2298181)[0m [359]	train-mlogloss:1.03006	validation-mlogloss:1.03702
[36m(train_xgb_ray_tune pid=2298202)[0m [476]	train-mlogloss:0.95378	validation-mlogloss:0.97478
[36m(train_xgb_ray_tune pid=2298197)[0m [443]	train-mlogloss:0.95402	validation-mlogloss:0.97443

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.26444 │
│ time_total_s                 9.26444 │
│ training_iteration                 1 │
│ validation_accuracy          0.60393 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298213)[0m [428]	train-mlogloss:1.03698	validation-mlogloss:1.03737
[36m(train_xgb_ray_tune pid=2298214)[0m [439]	train-mlogloss:1.11638	validation-mlogloss:1.11237
[36m(train_xgb_ray_tune pid=2298197)[0m [444]	train-mlogloss:0.95402	validation-mlogloss:0.97443
[36m(train_xgb_ray_tune pid=2298200)[0m [490]	train-mlogloss:1.01293	validation-mlogloss:1.01912
[36m(train_xgb_ray_tune pid=2298199)[0m [444]	train-mlogloss:1.02959	validation-mlogloss:1.02999

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 12s
[36m(train_xgb_ray_tune pid=2298181)[0m [360]	train-mlogloss:1.02971	validation-mlogloss:1.03668
[36m(train_xgb_ray_tune pid=2298197)[0m [445]	train-mlogloss:0.95402	validation-mlogloss:0.97443
[36m(train_xgb_ray_tune pid=2298214)[0m [440]	train-mlogloss:1.11613	validation-mlogloss:1.11210
[36m(train_xgb_ray_tune pid=2298197)[0m [446]	train-mlogloss:0.95399	validation-mlogloss:0.97443
[36m(train_xgb_ray_tune pid=2298181)[0m [361]	train-mlogloss:1.02934	validation-mlogloss:1.03632
[36m(train_xgb_ray_tune pid=2298200)[0m [491]	train-mlogloss:1.01276	validation-mlogloss:1.01894
[36m(train_xgb_ray_tune pid=2298213)[0m [429]	train-mlogloss:1.03679	validation-mlogloss:1.03725
[36m(train_xgb_ray_tune pid=2298199)[0m [445]	train-mlogloss:1.02945	validation-mlogloss:1.02993
[36m(train_xgb_ray_tune pid=2298199)[0m [446]	train-mlogloss:1.02930	validation-mlogloss:1.02986
[36m(train_xgb_ray_tune pid=2298214)[0m [441]	train-mlogloss:1.11599	validation-mlogloss:1.11201
[36m(train_xgb_ray_tune pid=2298197)[0m [447]	train-mlogloss:0.95391	validation-mlogloss:0.97446
[36m(train_xgb_ray_tune pid=2298181)[0m [362]	train-mlogloss:1.02894	validation-mlogloss:1.03599
[36m(train_xgb_ray_tune pid=2298200)[0m [492]	train-mlogloss:1.01260	validation-mlogloss:1.01879
[36m(train_xgb_ray_tune pid=2298213)[0m [430]	train-mlogloss:1.03661	validation-mlogloss:1.03709
[36m(train_xgb_ray_tune pid=2298214)[0m [442]	train-mlogloss:1.11585	validation-mlogloss:1.11185
[36m(train_xgb_ray_tune pid=2298197)[0m [448]	train-mlogloss:0.95391	validation-mlogloss:0.97446
[36m(train_xgb_ray_tune pid=2298199)[0m [447]	train-mlogloss:1.02917	validation-mlogloss:1.02979
[36m(train_xgb_ray_tune pid=2298214)[0m [443]	train-mlogloss:1.11560	validation-mlogloss:1.11156
[36m(train_xgb_ray_tune pid=2298197)[0m [449]	train-mlogloss:0.95391	validation-mlogloss:0.97446
[36m(train_xgb_ray_tune pid=2298200)[0m [493]	train-mlogloss:1.01249	validation-mlogloss:1.01876
[36m(train_xgb_ray_tune pid=2298213)[0m [431]	train-mlogloss:1.03646	validation-mlogloss:1.03698
[36m(train_xgb_ray_tune pid=2298214)[0m [444]	train-mlogloss:1.11545	validation-mlogloss:1.11144
[36m(train_xgb_ray_tune pid=2298197)[0m [450]	train-mlogloss:0.95391	validation-mlogloss:0.97445
[36m(train_xgb_ray_tune pid=2298197)[0m [451]	train-mlogloss:0.95391	validation-mlogloss:0.97445
[36m(train_xgb_ray_tune pid=2298181)[0m [363]	train-mlogloss:1.02855	validation-mlogloss:1.03562
[36m(train_xgb_ray_tune pid=2298200)[0m [494]	train-mlogloss:1.01243	validation-mlogloss:1.01868
[36m(train_xgb_ray_tune pid=2298213)[0m [432]	train-mlogloss:1.03627	validation-mlogloss:1.03685
[36m(train_xgb_ray_tune pid=2298199)[0m [448]	train-mlogloss:1.02896	validation-mlogloss:1.02952
[36m(train_xgb_ray_tune pid=2298199)[0m [449]	train-mlogloss:1.02880	validation-mlogloss:1.02936
[36m(train_xgb_ray_tune pid=2298214)[0m [445]	train-mlogloss:1.11531	validation-mlogloss:1.11132
[36m(train_xgb_ray_tune pid=2298181)[0m [364]	train-mlogloss:1.02823	validation-mlogloss:1.03539
[36m(train_xgb_ray_tune pid=2298214)[0m [446]	train-mlogloss:1.11505	validation-mlogloss:1.11100
[36m(train_xgb_ray_tune pid=2298197)[0m [452]	train-mlogloss:0.95391	validation-mlogloss:0.97445
[36m(train_xgb_ray_tune pid=2298200)[0m [495]	train-mlogloss:1.01232	validation-mlogloss:1.01851
[36m(train_xgb_ray_tune pid=2298213)[0m [433]	train-mlogloss:1.03611	validation-mlogloss:1.03669
[36m(train_xgb_ray_tune pid=2298197)[0m [453]	train-mlogloss:0.95384	validation-mlogloss:0.97441
[36m(train_xgb_ray_tune pid=2298199)[0m [450]	train-mlogloss:1.02866	validation-mlogloss:1.02919
[36m(train_xgb_ray_tune pid=2298214)[0m [447]	train-mlogloss:1.11492	validation-mlogloss:1.11091
[36m(train_xgb_ray_tune pid=2298181)[0m [365]	train-mlogloss:1.02789	validation-mlogloss:1.03512
[36m(train_xgb_ray_tune pid=2298200)[0m [496]	train-mlogloss:1.01222	validation-mlogloss:1.01841
[36m(train_xgb_ray_tune pid=2298214)[0m [448]	train-mlogloss:1.11467	validation-mlogloss:1.11058
[36m(train_xgb_ray_tune pid=2298197)[0m [454]	train-mlogloss:0.95371	validation-mlogloss:0.97432
[36m(train_xgb_ray_tune pid=2298213)[0m [434]	train-mlogloss:1.03595	validation-mlogloss:1.03653
[36m(train_xgb_ray_tune pid=2298199)[0m [451]	train-mlogloss:1.02850	validation-mlogloss:1.02902
[36m(train_xgb_ray_tune pid=2298181)[0m [366]	train-mlogloss:1.02749	validation-mlogloss:1.03478
[36m(train_xgb_ray_tune pid=2298214)[0m [449]	train-mlogloss:1.11452	validation-mlogloss:1.11049
[36m(train_xgb_ray_tune pid=2298197)[0m [455]	train-mlogloss:0.95359	validation-mlogloss:0.97414
[36m(train_xgb_ray_tune pid=2298200)[0m [497]	train-mlogloss:1.01213	validation-mlogloss:1.01839
[36m(train_xgb_ray_tune pid=2298199)[0m [452]	train-mlogloss:1.02837	validation-mlogloss:1.02897
[36m(train_xgb_ray_tune pid=2298214)[0m [450]	train-mlogloss:1.11430	validation-mlogloss:1.11025
[36m(train_xgb_ray_tune pid=2298197)[0m [456]	train-mlogloss:0.95358	validation-mlogloss:0.97414
[36m(train_xgb_ray_tune pid=2298181)[0m [367]	train-mlogloss:1.02714	validation-mlogloss:1.03445
[36m(train_xgb_ray_tune pid=2298213)[0m [435]	train-mlogloss:1.03575	validation-mlogloss:1.03631
[36m(train_xgb_ray_tune pid=2298199)[0m [453]	train-mlogloss:1.02819	validation-mlogloss:1.02877
[36m(train_xgb_ray_tune pid=2298200)[0m [498]	train-mlogloss:1.01199	validation-mlogloss:1.01822
[36m(train_xgb_ray_tune pid=2298214)[0m [451]	train-mlogloss:1.11400	validation-mlogloss:1.10995
[36m(train_xgb_ray_tune pid=2298197)[0m [457]	train-mlogloss:0.95359	validation-mlogloss:0.97414
[36m(train_xgb_ray_tune pid=2298181)[0m [368]	train-mlogloss:1.02678	validation-mlogloss:1.03415
[36m(train_xgb_ray_tune pid=2298199)[0m [454]	train-mlogloss:1.02806	validation-mlogloss:1.02872
[36m(train_xgb_ray_tune pid=2298213)[0m [436]	train-mlogloss:1.03559	validation-mlogloss:1.03619
[36m(train_xgb_ray_tune pid=2298214)[0m [452]	train-mlogloss:1.11375	validation-mlogloss:1.10963
[36m(train_xgb_ray_tune pid=2298197)[0m [458]	train-mlogloss:0.95351	validation-mlogloss:0.97406
[36m(train_xgb_ray_tune pid=2298181)[0m [369]	train-mlogloss:1.02640	validation-mlogloss:1.03380
[36m(train_xgb_ray_tune pid=2298200)[0m [499]	train-mlogloss:1.01189	validation-mlogloss:1.01810
[36m(train_xgb_ray_tune pid=2298199)[0m [455]	train-mlogloss:1.02797	validation-mlogloss:1.02866
[36m(train_xgb_ray_tune pid=2298214)[0m [453]	train-mlogloss:1.11361	validation-mlogloss:1.10952
[36m(train_xgb_ray_tune pid=2298213)[0m [437]	train-mlogloss:1.03537	validation-mlogloss:1.03593
[36m(train_xgb_ray_tune pid=2298199)[0m [456]	train-mlogloss:1.02787	validation-mlogloss:1.02859
[36m(train_xgb_ray_tune pid=2298197)[0m [459]	train-mlogloss:0.95336	validation-mlogloss:0.97388
[36m(train_xgb_ray_tune pid=2298181)[0m [370]	train-mlogloss:1.02603	validation-mlogloss:1.03342
[36m(train_xgb_ray_tune pid=2298200)[0m [500]	train-mlogloss:1.01174	validation-mlogloss:1.01798
[36m(train_xgb_ray_tune pid=2298214)[0m [454]	train-mlogloss:1.11338	validation-mlogloss:1.10925
[36m(train_xgb_ray_tune pid=2298197)[0m [460]	train-mlogloss:0.95334	validation-mlogloss:0.97384
[36m(train_xgb_ray_tune pid=2298199)[0m [457]	train-mlogloss:1.02774	validation-mlogloss:1.02853
[36m(train_xgb_ray_tune pid=2298214)[0m [455]	train-mlogloss:1.11324	validation-mlogloss:1.10913
[36m(train_xgb_ray_tune pid=2298213)[0m [438]	train-mlogloss:1.03521	validation-mlogloss:1.03580
[36m(train_xgb_ray_tune pid=2298199)[0m [458]	train-mlogloss:1.02758	validation-mlogloss:1.02835
[36m(train_xgb_ray_tune pid=2298181)[0m [371]	train-mlogloss:1.02563	validation-mlogloss:1.03309
[36m(train_xgb_ray_tune pid=2298200)[0m [501]	train-mlogloss:1.01164	validation-mlogloss:1.01796
[36m(train_xgb_ray_tune pid=2298214)[0m [456]	train-mlogloss:1.11302	validation-mlogloss:1.10885
[36m(train_xgb_ray_tune pid=2298197)[0m [461]	train-mlogloss:0.95334	validation-mlogloss:0.97383
[36m(train_xgb_ray_tune pid=2298199)[0m [459]	train-mlogloss:1.02745	validation-mlogloss:1.02829
[36m(train_xgb_ray_tune pid=2298197)[0m [462]	train-mlogloss:0.95334	validation-mlogloss:0.97382
[36m(train_xgb_ray_tune pid=2298181)[0m [372]	train-mlogloss:1.02527	validation-mlogloss:1.03273
[36m(train_xgb_ray_tune pid=2298200)[0m [502]	train-mlogloss:1.01156	validation-mlogloss:1.01791
[36m(train_xgb_ray_tune pid=2298213)[0m [439]	train-mlogloss:1.03501	validation-mlogloss:1.03557
[36m(train_xgb_ray_tune pid=2298214)[0m [457]	train-mlogloss:1.11288	validation-mlogloss:1.10874
[36m(train_xgb_ray_tune pid=2298199)[0m [460]	train-mlogloss:1.02724	validation-mlogloss:1.02813
[36m(train_xgb_ray_tune pid=2298197)[0m [463]	train-mlogloss:0.95334	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298214)[0m [458]	train-mlogloss:1.11264	validation-mlogloss:1.10848
[36m(train_xgb_ray_tune pid=2298181)[0m [373]	train-mlogloss:1.02493	validation-mlogloss:1.03241
[36m(train_xgb_ray_tune pid=2298200)[0m [503]	train-mlogloss:1.01149	validation-mlogloss:1.01786
[36m(train_xgb_ray_tune pid=2298213)[0m [440]	train-mlogloss:1.03482	validation-mlogloss:1.03543
[36m(train_xgb_ray_tune pid=2298199)[0m [461]	train-mlogloss:1.02700	validation-mlogloss:1.02788
[36m(train_xgb_ray_tune pid=2298197)[0m [464]	train-mlogloss:0.95334	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298214)[0m [459]	train-mlogloss:1.11251	validation-mlogloss:1.10834
[36m(train_xgb_ray_tune pid=2298181)[0m [374]	train-mlogloss:1.02458	validation-mlogloss:1.03206
[36m(train_xgb_ray_tune pid=2298199)[0m [462]	train-mlogloss:1.02691	validation-mlogloss:1.02782
[36m(train_xgb_ray_tune pid=2298197)[0m [465]	train-mlogloss:0.95334	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298214)[0m [460]	train-mlogloss:1.11226	validation-mlogloss:1.10805
[36m(train_xgb_ray_tune pid=2298200)[0m [504]	train-mlogloss:1.01134	validation-mlogloss:1.01769
[36m(train_xgb_ray_tune pid=2298213)[0m [441]	train-mlogloss:1.03462	validation-mlogloss:1.03529
[36m(train_xgb_ray_tune pid=2298199)[0m [463]	train-mlogloss:1.02682	validation-mlogloss:1.02774
[36m(train_xgb_ray_tune pid=2298197)[0m [466]	train-mlogloss:0.95333	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298181)[0m [375]	train-mlogloss:1.02422	validation-mlogloss:1.03167
[36m(train_xgb_ray_tune pid=2298214)[0m [461]	train-mlogloss:1.11212	validation-mlogloss:1.10790
[36m(train_xgb_ray_tune pid=2298197)[0m [467]	train-mlogloss:0.95334	validation-mlogloss:0.97380
[36m(train_xgb_ray_tune pid=2298199)[0m [464]	train-mlogloss:1.02662	validation-mlogloss:1.02754
[36m(train_xgb_ray_tune pid=2298200)[0m [505]	train-mlogloss:1.01127	validation-mlogloss:1.01761
[36m(train_xgb_ray_tune pid=2298214)[0m [462]	train-mlogloss:1.11192	validation-mlogloss:1.10767
[36m(train_xgb_ray_tune pid=2298197)[0m [468]	train-mlogloss:0.95333	validation-mlogloss:0.97380
[36m(train_xgb_ray_tune pid=2298181)[0m [376]	train-mlogloss:1.02384	validation-mlogloss:1.03137
[36m(train_xgb_ray_tune pid=2298202)[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 13x across cluster][0m
[36m(train_xgb_ray_tune pid=2298202)[0m   _log_deprecation_warning([32m [repeated 13x across cluster][0m
[36m(train_xgb_ray_tune pid=2298213)[0m [442]	train-mlogloss:1.03447	validation-mlogloss:1.03514
[36m(train_xgb_ray_tune pid=2298199)[0m [465]	train-mlogloss:1.02653	validation-mlogloss:1.02747
[36m(train_xgb_ray_tune pid=2298197)[0m [469]	train-mlogloss:0.95333	validation-mlogloss:0.97380
[36m(train_xgb_ray_tune pid=2298200)[0m [506]	train-mlogloss:1.01115	validation-mlogloss:1.01743
[36m(train_xgb_ray_tune pid=2298214)[0m [463]	train-mlogloss:1.11179	validation-mlogloss:1.10756
[36m(train_xgb_ray_tune pid=2298197)[0m [470]	train-mlogloss:0.95333	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298181)[0m [377]	train-mlogloss:1.02344	validation-mlogloss:1.03098
[36m(train_xgb_ray_tune pid=2298213)[0m [443]	train-mlogloss:1.03430	validation-mlogloss:1.03502
[36m(train_xgb_ray_tune pid=2298199)[0m [466]	train-mlogloss:1.02628	validation-mlogloss:1.02724
[36m(train_xgb_ray_tune pid=2298200)[0m [507]	train-mlogloss:1.01102	validation-mlogloss:1.01739
[36m(train_xgb_ray_tune pid=2298199)[0m [467]	train-mlogloss:1.02615	validation-mlogloss:1.02715
[36m(train_xgb_ray_tune pid=2298214)[0m [464]	train-mlogloss:1.11166	validation-mlogloss:1.10741
[36m(train_xgb_ray_tune pid=2298197)[0m [471]	train-mlogloss:0.95330	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298181)[0m [378]	train-mlogloss:1.02312	validation-mlogloss:1.03078
[36m(train_xgb_ray_tune pid=2298200)[0m [508]	train-mlogloss:1.01093	validation-mlogloss:1.01724
[36m(train_xgb_ray_tune pid=2298213)[0m [444]	train-mlogloss:1.03413	validation-mlogloss:1.03483
[36m(train_xgb_ray_tune pid=2298197)[0m [472]	train-mlogloss:0.95320	validation-mlogloss:0.97382
[36m(train_xgb_ray_tune pid=2298213)[0m [445]	train-mlogloss:1.03393	validation-mlogloss:1.03467

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:14. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.36966 │
│ time_total_s                 9.36966 │
│ training_iteration                 1 │
│ validation_accuracy          0.62219 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=2298199)[0m [468]	train-mlogloss:1.02599	validation-mlogloss:1.02697
[36m(train_xgb_ray_tune pid=2298214)[0m [465]	train-mlogloss:1.11152	validation-mlogloss:1.10730
[36m(train_xgb_ray_tune pid=2298200)[0m [509]	train-mlogloss:1.01079	validation-mlogloss:1.01718
[36m(train_xgb_ray_tune pid=2298197)[0m [473]	train-mlogloss:0.95320	validation-mlogloss:0.97382
[36m(train_xgb_ray_tune pid=2298181)[0m [379]	train-mlogloss:1.02281	validation-mlogloss:1.03051

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:14. Total running time: 12s
[36m(train_xgb_ray_tune pid=2298213)[0m [446]	train-mlogloss:1.03376	validation-mlogloss:1.03451
[36m(train_xgb_ray_tune pid=2298199)[0m [469]	train-mlogloss:1.02578	validation-mlogloss:1.02677
[36m(train_xgb_ray_tune pid=2298214)[0m [466]	train-mlogloss:1.11127	validation-mlogloss:1.10702
[36m(train_xgb_ray_tune pid=2298197)[0m [474]	train-mlogloss:0.95316	validation-mlogloss:0.97384
[36m(train_xgb_ray_tune pid=2298200)[0m [510]	train-mlogloss:1.01070	validation-mlogloss:1.01703
[36m(train_xgb_ray_tune pid=2298214)[0m [467]	train-mlogloss:1.11113	validation-mlogloss:1.10687
[36m(train_xgb_ray_tune pid=2298197)[0m [475]	train-mlogloss:0.95316	validation-mlogloss:0.97384
[36m(train_xgb_ray_tune pid=2298181)[0m [380]	train-mlogloss:1.02248	validation-mlogloss:1.03020
[36m(train_xgb_ray_tune pid=2298200)[0m [511]	train-mlogloss:1.01064	validation-mlogloss:1.01704
[36m(train_xgb_ray_tune pid=2298213)[0m [447]	train-mlogloss:1.03353	validation-mlogloss:1.03429
[36m(train_xgb_ray_tune pid=2298199)[0m [470]	train-mlogloss:1.02561	validation-mlogloss:1.02657
[36m(train_xgb_ray_tune pid=2298197)[0m [476]	train-mlogloss:0.95313	validation-mlogloss:0.97383
[36m(train_xgb_ray_tune pid=2298200)[0m [512]	train-mlogloss:1.01060	validation-mlogloss:1.01702
[36m(train_xgb_ray_tune pid=2298213)[0m [448]	train-mlogloss:1.03334	validation-mlogloss:1.03417
[36m(train_xgb_ray_tune pid=2298199)[0m [471]	train-mlogloss:1.02546	validation-mlogloss:1.02639
[36m(train_xgb_ray_tune pid=2298214)[0m [468]	train-mlogloss:1.11092	validation-mlogloss:1.10666
[36m(train_xgb_ray_tune pid=2298181)[0m [381]	train-mlogloss:1.02211	validation-mlogloss:1.02987
[36m(train_xgb_ray_tune pid=2298197)[0m [477]	train-mlogloss:0.95310	validation-mlogloss:0.97381
[36m(train_xgb_ray_tune pid=2298200)[0m [513]	train-mlogloss:1.01050	validation-mlogloss:1.01700
[36m(train_xgb_ray_tune pid=2298213)[0m [449]	train-mlogloss:1.03322	validation-mlogloss:1.03404
[36m(train_xgb_ray_tune pid=2298199)[0m [472]	train-mlogloss:1.02537	validation-mlogloss:1.02633
[36m(train_xgb_ray_tune pid=2298214)[0m [469]	train-mlogloss:1.11069	validation-mlogloss:1.10642
[36m(train_xgb_ray_tune pid=2298197)[0m [478]	train-mlogloss:0.95306	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298181)[0m [382]	train-mlogloss:1.02173	validation-mlogloss:1.02959
[36m(train_xgb_ray_tune pid=2298200)[0m [514]	train-mlogloss:1.01041	validation-mlogloss:1.01684
[36m(train_xgb_ray_tune pid=2298213)[0m [450]	train-mlogloss:1.03303	validation-mlogloss:1.03388
[36m(train_xgb_ray_tune pid=2298199)[0m [473]	train-mlogloss:1.02517	validation-mlogloss:1.02611
[36m(train_xgb_ray_tune pid=2298197)[0m [479]	train-mlogloss:0.95306	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298214)[0m [470]	train-mlogloss:1.11051	validation-mlogloss:1.10620
[36m(train_xgb_ray_tune pid=2298181)[0m [383]	train-mlogloss:1.02140	validation-mlogloss:1.02932
[36m(train_xgb_ray_tune pid=2298200)[0m [515]	train-mlogloss:1.01032	validation-mlogloss:1.01680
[36m(train_xgb_ray_tune pid=2298213)[0m [451]	train-mlogloss:1.03290	validation-mlogloss:1.03381
[36m(train_xgb_ray_tune pid=2298199)[0m [474]	train-mlogloss:1.02508	validation-mlogloss:1.02604
[36m(train_xgb_ray_tune pid=2298197)[0m [480]	train-mlogloss:0.95306	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298200)[0m [516]	train-mlogloss:1.01024	validation-mlogloss:1.01666
[36m(train_xgb_ray_tune pid=2298199)[0m [475]	train-mlogloss:1.02499	validation-mlogloss:1.02598
[36m(train_xgb_ray_tune pid=2298214)[0m [471]	train-mlogloss:1.11026	validation-mlogloss:1.10596
[36m(train_xgb_ray_tune pid=2298197)[0m [481]	train-mlogloss:0.95306	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298181)[0m [384]	train-mlogloss:1.02107	validation-mlogloss:1.02893
[36m(train_xgb_ray_tune pid=2298213)[0m [452]	train-mlogloss:1.03277	validation-mlogloss:1.03369
[36m(train_xgb_ray_tune pid=2298200)[0m [517]	train-mlogloss:1.01014	validation-mlogloss:1.01656
[36m(train_xgb_ray_tune pid=2298213)[0m [453]	train-mlogloss:1.03263	validation-mlogloss:1.03358
[36m(train_xgb_ray_tune pid=2298199)[0m [476]	train-mlogloss:1.02476	validation-mlogloss:1.02576
[36m(train_xgb_ray_tune pid=2298214)[0m [472]	train-mlogloss:1.11003	validation-mlogloss:1.10570
[36m(train_xgb_ray_tune pid=2298197)[0m [482]	train-mlogloss:0.95303	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298200)[0m [518]	train-mlogloss:1.01005	validation-mlogloss:1.01642
[36m(train_xgb_ray_tune pid=2298181)[0m [385]	train-mlogloss:1.02075	validation-mlogloss:1.02867
[36m(train_xgb_ray_tune pid=2298213)[0m [454]	train-mlogloss:1.03244	validation-mlogloss:1.03348
[36m(train_xgb_ray_tune pid=2298199)[0m [477]	train-mlogloss:1.02456	validation-mlogloss:1.02554
[36m(train_xgb_ray_tune pid=2298214)[0m [473]	train-mlogloss:1.10990	validation-mlogloss:1.10559
[36m(train_xgb_ray_tune pid=2298197)[0m [483]	train-mlogloss:0.95295	validation-mlogloss:0.97374
[36m(train_xgb_ray_tune pid=2298200)[0m [519]	train-mlogloss:1.00998	validation-mlogloss:1.01635
[36m(train_xgb_ray_tune pid=2298199)[0m [478]	train-mlogloss:1.02440	validation-mlogloss:1.02550
[36m(train_xgb_ray_tune pid=2298214)[0m [474]	train-mlogloss:1.10968	validation-mlogloss:1.10536
[36m(train_xgb_ray_tune pid=2298197)[0m [484]	train-mlogloss:0.95295	validation-mlogloss:0.97374
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[36m(train_xgb_ray_tune pid=2298200)[0m [582]	train-mlogloss:1.00539	validation-mlogloss:1.01291
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[36m(train_xgb_ray_tune pid=2298197)[0m [563]	train-mlogloss:0.95049	validation-mlogloss:0.97237
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[36m(train_xgb_ray_tune pid=2298197)[0m [569]	train-mlogloss:0.95037	validation-mlogloss:0.97216
[36m(train_xgb_ray_tune pid=2298197)[0m [570]	train-mlogloss:0.95025	validation-mlogloss:0.97213
[36m(train_xgb_ray_tune pid=2298197)[0m [571]	train-mlogloss:0.95025	validation-mlogloss:0.97213
[36m(train_xgb_ray_tune pid=2298197)[0m [572]	train-mlogloss:0.95017	validation-mlogloss:0.97200
[36m(train_xgb_ray_tune pid=2298200)[0m [603]	train-mlogloss:1.00401	validation-mlogloss:1.01189
[36m(train_xgb_ray_tune pid=2298199)[0m [557]	train-mlogloss:1.01503	validation-mlogloss:1.01719
[36m(train_xgb_ray_tune pid=2298214)[0m [553]	train-mlogloss:1.09985	validation-mlogloss:1.09630
[36m(train_xgb_ray_tune pid=2298181)[0m [443]	train-mlogloss:1.00363	validation-mlogloss:1.01438
[36m(train_xgb_ray_tune pid=2298213)[0m [531]	train-mlogloss:1.02081	validation-mlogloss:1.02416
[36m(train_xgb_ray_tune pid=2298197)[0m [573]	train-mlogloss:0.95017	validation-mlogloss:0.97201
[36m(train_xgb_ray_tune pid=2298200)[0m [604]	train-mlogloss:1.00398	validation-mlogloss:1.01187
[36m(train_xgb_ray_tune pid=2298199)[0m [558]	train-mlogloss:1.01496	validation-mlogloss:1.01715
[36m(train_xgb_ray_tune pid=2298214)[0m [554]	train-mlogloss:1.09979	validation-mlogloss:1.09625
[36m(train_xgb_ray_tune pid=2298197)[0m [574]	train-mlogloss:0.95017	validation-mlogloss:0.97201
[36m(train_xgb_ray_tune pid=2298213)[0m [532]	train-mlogloss:1.02071	validation-mlogloss:1.02408
[36m(train_xgb_ray_tune pid=2298181)[0m [444]	train-mlogloss:1.00335	validation-mlogloss:1.01410
[36m(train_xgb_ray_tune pid=2298200)[0m [605]	train-mlogloss:1.00391	validation-mlogloss:1.01175
[36m(train_xgb_ray_tune pid=2298214)[0m [555]	train-mlogloss:1.09963	validation-mlogloss:1.09605
[36m(train_xgb_ray_tune pid=2298199)[0m [559]	train-mlogloss:1.01482	validation-mlogloss:1.01710
[36m(train_xgb_ray_tune pid=2298197)[0m [575]	train-mlogloss:0.95017	validation-mlogloss:0.97202
[36m(train_xgb_ray_tune pid=2298213)[0m [533]	train-mlogloss:1.02060	validation-mlogloss:1.02403
[36m(train_xgb_ray_tune pid=2298200)[0m [606]	train-mlogloss:1.00388	validation-mlogloss:1.01176
[36m(train_xgb_ray_tune pid=2298214)[0m [556]	train-mlogloss:1.09963	validation-mlogloss:1.09605
[36m(train_xgb_ray_tune pid=2298197)[0m [576]	train-mlogloss:0.95017	validation-mlogloss:0.97202
[36m(train_xgb_ray_tune pid=2298181)[0m [445]	train-mlogloss:1.00309	validation-mlogloss:1.01385
[36m(train_xgb_ray_tune pid=2298199)[0m [560]	train-mlogloss:1.01469	validation-mlogloss:1.01694
[36m(train_xgb_ray_tune pid=2298200)[0m [607]	train-mlogloss:1.00388	validation-mlogloss:1.01176
[36m(train_xgb_ray_tune pid=2298213)[0m [534]	train-mlogloss:1.02050	validation-mlogloss:1.02393
[36m(train_xgb_ray_tune pid=2298214)[0m [557]	train-mlogloss:1.09950	validation-mlogloss:1.09592
[36m(train_xgb_ray_tune pid=2298197)[0m [577]	train-mlogloss:0.95017	validation-mlogloss:0.97202
[36m(train_xgb_ray_tune pid=2298199)[0m [561]	train-mlogloss:1.01465	validation-mlogloss:1.01692
[36m(train_xgb_ray_tune pid=2298181)[0m [446]	train-mlogloss:1.00283	validation-mlogloss:1.01361
[36m(train_xgb_ray_tune pid=2298213)[0m [535]	train-mlogloss:1.02037	validation-mlogloss:1.02388
[36m(train_xgb_ray_tune pid=2298214)[0m [558]	train-mlogloss:1.09944	validation-mlogloss:1.09590
[36m(train_xgb_ray_tune pid=2298197)[0m [578]	train-mlogloss:0.95017	validation-mlogloss:0.97202
[36m(train_xgb_ray_tune pid=2298200)[0m [608]	train-mlogloss:1.00388	validation-mlogloss:1.01176
[36m(train_xgb_ray_tune pid=2298199)[0m [562]	train-mlogloss:1.01452	validation-mlogloss:1.01674

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:15. Total running time: 12s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             9.59441 │
│ time_total_s                 9.59441 │
│ training_iteration                 1 │
│ validation_accuracy          0.55302 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:15. Total running time: 12s
[36m(train_xgb_ray_tune pid=2298181)[0m [447]	train-mlogloss:1.00260	validation-mlogloss:1.01342
[36m(train_xgb_ray_tune pid=2298181)[0m [448]	train-mlogloss:1.00235	validation-mlogloss:1.01325
[36m(train_xgb_ray_tune pid=2298181)[0m [449]	train-mlogloss:1.00211	validation-mlogloss:1.01302
[36m(train_xgb_ray_tune pid=2298181)[0m [450]	train-mlogloss:1.00185	validation-mlogloss:1.01276
[36m(train_xgb_ray_tune pid=2298181)[0m [451]	train-mlogloss:1.00162	validation-mlogloss:1.01260
[36m(train_xgb_ray_tune pid=2298181)[0m [452]	train-mlogloss:1.00136	validation-mlogloss:1.01235
[36m(train_xgb_ray_tune pid=2298181)[0m [453]	train-mlogloss:1.00111	validation-mlogloss:1.01214
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[36m(train_xgb_ray_tune pid=2298199)[0m [639]	train-mlogloss:1.00997	validation-mlogloss:1.01265
[36m(train_xgb_ray_tune pid=2298199)[0m [640]	train-mlogloss:1.00997	validation-mlogloss:1.01265
[36m(train_xgb_ray_tune pid=2298199)[0m [641]	train-mlogloss:1.00989	validation-mlogloss:1.01254
[36m(train_xgb_ray_tune pid=2298199)[0m [642]	train-mlogloss:1.00985	validation-mlogloss:1.01252
[36m(train_xgb_ray_tune pid=2298199)[0m [643]	train-mlogloss:1.00985	validation-mlogloss:1.01253
[36m(train_xgb_ray_tune pid=2298199)[0m [644]	train-mlogloss:1.00982	validation-mlogloss:1.01250
[36m(train_xgb_ray_tune pid=2298199)[0m [645]	train-mlogloss:1.00982	validation-mlogloss:1.01251
[36m(train_xgb_ray_tune pid=2298197)[0m [639]	train-mlogloss:0.94912	validation-mlogloss:0.97117
[36m(train_xgb_ray_tune pid=2298197)[0m [640]	train-mlogloss:0.94912	validation-mlogloss:0.97117
[36m(train_xgb_ray_tune pid=2298197)[0m [641]	train-mlogloss:0.94912	validation-mlogloss:0.97118
[36m(train_xgb_ray_tune pid=2298197)[0m [642]	train-mlogloss:0.94912	validation-mlogloss:0.97117
[36m(train_xgb_ray_tune pid=2298197)[0m [643]	train-mlogloss:0.94912	validation-mlogloss:0.97117
[36m(train_xgb_ray_tune pid=2298197)[0m [644]	train-mlogloss:0.94912	validation-mlogloss:0.97117
[36m(train_xgb_ray_tune pid=2298197)[0m [645]	train-mlogloss:0.94912	validation-mlogloss:0.97116
[36m(train_xgb_ray_tune pid=2298197)[0m [646]	train-mlogloss:0.94912	validation-mlogloss:0.97116
[36m(train_xgb_ray_tune pid=2298197)[0m [647]	train-mlogloss:0.94912	validation-mlogloss:0.97115
[36m(train_xgb_ray_tune pid=2298197)[0m [648]	train-mlogloss:0.94912	validation-mlogloss:0.97115
[36m(train_xgb_ray_tune pid=2298197)[0m [649]	train-mlogloss:0.94912	validation-mlogloss:0.97115
[36m(train_xgb_ray_tune pid=2298197)[0m [650]	train-mlogloss:0.94911	validation-mlogloss:0.97115
[36m(train_xgb_ray_tune pid=2298197)[0m [651]	train-mlogloss:0.94911	validation-mlogloss:0.97114
[36m(train_xgb_ray_tune pid=2298197)[0m [652]	train-mlogloss:0.94911	validation-mlogloss:0.97114
[36m(train_xgb_ray_tune pid=2298197)[0m [653]	train-mlogloss:0.94911	validation-mlogloss:0.97113
[36m(train_xgb_ray_tune pid=2298197)[0m [654]	train-mlogloss:0.94911	validation-mlogloss:0.97113
[36m(train_xgb_ray_tune pid=2298197)[0m [655]	train-mlogloss:0.94911	validation-mlogloss:0.97113
[36m(train_xgb_ray_tune pid=2298197)[0m [656]	train-mlogloss:0.94911	validation-mlogloss:0.97113
[36m(train_xgb_ray_tune pid=2298197)[0m [657]	train-mlogloss:0.94911	validation-mlogloss:0.97112
[36m(train_xgb_ray_tune pid=2298197)[0m [658]	train-mlogloss:0.94911	validation-mlogloss:0.97112
[36m(train_xgb_ray_tune pid=2298197)[0m [659]	train-mlogloss:0.94911	validation-mlogloss:0.97112
[36m(train_xgb_ray_tune pid=2298197)[0m [660]	train-mlogloss:0.94911	validation-mlogloss:0.97112
[36m(train_xgb_ray_tune pid=2298197)[0m [661]	train-mlogloss:0.94909	validation-mlogloss:0.97111
[36m(train_xgb_ray_tune pid=2298197)[0m [662]	train-mlogloss:0.94909	validation-mlogloss:0.97111
[36m(train_xgb_ray_tune pid=2298197)[0m [663]	train-mlogloss:0.94909	validation-mlogloss:0.97110
[36m(train_xgb_ray_tune pid=2298197)[0m [664]	train-mlogloss:0.94909	validation-mlogloss:0.97110
[36m(train_xgb_ray_tune pid=2298197)[0m [665]	train-mlogloss:0.94909	validation-mlogloss:0.97111
[36m(train_xgb_ray_tune pid=2298197)[0m [666]	train-mlogloss:0.94909	validation-mlogloss:0.97111
[36m(train_xgb_ray_tune pid=2298197)[0m [667]	train-mlogloss:0.94909	validation-mlogloss:0.97110
[36m(train_xgb_ray_tune pid=2298197)[0m [668]	train-mlogloss:0.94905	validation-mlogloss:0.97110
[36m(train_xgb_ray_tune pid=2298200)[0m [694]	train-mlogloss:1.00107	validation-mlogloss:1.00956
[36m(train_xgb_ray_tune pid=2298199)[0m [646]	train-mlogloss:1.00982	validation-mlogloss:1.01251
[36m(train_xgb_ray_tune pid=2298197)[0m [669]	train-mlogloss:0.94905	validation-mlogloss:0.97110
[36m(train_xgb_ray_tune pid=2298213)[0m [612]	train-mlogloss:1.01112	validation-mlogloss:1.01650
[36m(train_xgb_ray_tune pid=2298199)[0m [647]	train-mlogloss:1.00982	validation-mlogloss:1.01251
[36m(train_xgb_ray_tune pid=2298200)[0m [695]	train-mlogloss:1.00107	validation-mlogloss:1.00956
[36m(train_xgb_ray_tune pid=2298213)[0m [613]	train-mlogloss:1.01095	validation-mlogloss:1.01634
[36m(train_xgb_ray_tune pid=2298197)[0m [670]	train-mlogloss:0.94905	validation-mlogloss:0.97111
[36m(train_xgb_ray_tune pid=2298199)[0m [648]	train-mlogloss:1.00982	validation-mlogloss:1.01251
[36m(train_xgb_ray_tune pid=2298200)[0m [696]	train-mlogloss:1.00105	validation-mlogloss:1.00954
[36m(train_xgb_ray_tune pid=2298197)[0m [671]	train-mlogloss:0.94898	validation-mlogloss:0.97101
[36m(train_xgb_ray_tune pid=2298213)[0m [614]	train-mlogloss:1.01084	validation-mlogloss:1.01623
[36m(train_xgb_ray_tune pid=2298199)[0m [649]	train-mlogloss:1.00979	validation-mlogloss:1.01250
[36m(train_xgb_ray_tune pid=2298200)[0m [697]	train-mlogloss:1.00105	validation-mlogloss:1.00954
[36m(train_xgb_ray_tune pid=2298197)[0m [672]	train-mlogloss:0.94898	validation-mlogloss:0.97101

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:15. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.1953 │
│ time_total_s                 10.1953 │
│ training_iteration                 1 │
│ validation_accuracy          0.61903 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:15. Total running time: 13s
[36m(train_xgb_ray_tune pid=2298200)[0m [698]	train-mlogloss:1.00105	validation-mlogloss:1.00954
[36m(train_xgb_ray_tune pid=2298200)[0m [699]	train-mlogloss:1.00095	validation-mlogloss:1.00953
[36m(train_xgb_ray_tune pid=2298200)[0m [700]	train-mlogloss:1.00095	validation-mlogloss:1.00954
[36m(train_xgb_ray_tune pid=2298200)[0m [701]	train-mlogloss:1.00095	validation-mlogloss:1.00954
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[36m(train_xgb_ray_tune pid=2298200)[0m [706]	train-mlogloss:1.00086	validation-mlogloss:1.00948
[36m(train_xgb_ray_tune pid=2298200)[0m [707]	train-mlogloss:1.00078	validation-mlogloss:1.00934
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[36m(train_xgb_ray_tune pid=2298200)[0m [715]	train-mlogloss:1.00062	validation-mlogloss:1.00910
[36m(train_xgb_ray_tune pid=2298200)[0m [716]	train-mlogloss:1.00062	validation-mlogloss:1.00910
[36m(train_xgb_ray_tune pid=2298200)[0m [717]	train-mlogloss:1.00062	validation-mlogloss:1.00910
[36m(train_xgb_ray_tune pid=2298200)[0m [718]	train-mlogloss:1.00056	validation-mlogloss:1.00903
[36m(train_xgb_ray_tune pid=2298200)[0m [719]	train-mlogloss:1.00056	validation-mlogloss:1.00903
[36m(train_xgb_ray_tune pid=2298200)[0m [720]	train-mlogloss:1.00049	validation-mlogloss:1.00897
[36m(train_xgb_ray_tune pid=2298200)[0m [721]	train-mlogloss:1.00040	validation-mlogloss:1.00891
[36m(train_xgb_ray_tune pid=2298200)[0m [722]	train-mlogloss:1.00034	validation-mlogloss:1.00885
[36m(train_xgb_ray_tune pid=2298200)[0m [723]	train-mlogloss:1.00034	validation-mlogloss:1.00886
[36m(train_xgb_ray_tune pid=2298213)[0m [615]	train-mlogloss:1.01075	validation-mlogloss:1.01619
[36m(train_xgb_ray_tune pid=2298213)[0m [616]	train-mlogloss:1.01061	validation-mlogloss:1.01602
[36m(train_xgb_ray_tune pid=2298213)[0m [617]	train-mlogloss:1.01053	validation-mlogloss:1.01600
[36m(train_xgb_ray_tune pid=2298213)[0m [618]	train-mlogloss:1.01036	validation-mlogloss:1.01584
[36m(train_xgb_ray_tune pid=2298213)[0m [619]	train-mlogloss:1.01031	validation-mlogloss:1.01580
[36m(train_xgb_ray_tune pid=2298213)[0m [620]	train-mlogloss:1.01015	validation-mlogloss:1.01565
[36m(train_xgb_ray_tune pid=2298213)[0m [621]	train-mlogloss:1.01001	validation-mlogloss:1.01561
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[36m(train_xgb_ray_tune pid=2298213)[0m [625]	train-mlogloss:1.00944	validation-mlogloss:1.01514
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[36m(train_xgb_ray_tune pid=2298213)[0m [628]	train-mlogloss:1.00917	validation-mlogloss:1.01481
[36m(train_xgb_ray_tune pid=2298213)[0m [629]	train-mlogloss:1.00907	validation-mlogloss:1.01472
[36m(train_xgb_ray_tune pid=2298213)[0m [630]	train-mlogloss:1.00899	validation-mlogloss:1.01470
[36m(train_xgb_ray_tune pid=2298213)[0m [631]	train-mlogloss:1.00885	validation-mlogloss:1.01454
[36m(train_xgb_ray_tune pid=2298213)[0m [632]	train-mlogloss:1.00872	validation-mlogloss:1.01438
[36m(train_xgb_ray_tune pid=2298213)[0m [633]	train-mlogloss:1.00859	validation-mlogloss:1.01423
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[36m(train_xgb_ray_tune pid=2298213)[0m [635]	train-mlogloss:1.00835	validation-mlogloss:1.01401
[36m(train_xgb_ray_tune pid=2298213)[0m [636]	train-mlogloss:1.00829	validation-mlogloss:1.01397
[36m(train_xgb_ray_tune pid=2298213)[0m [637]	train-mlogloss:1.00813	validation-mlogloss:1.01386
[36m(train_xgb_ray_tune pid=2298213)[0m [638]	train-mlogloss:1.00799	validation-mlogloss:1.01371
[36m(train_xgb_ray_tune pid=2298199)[0m [650]	train-mlogloss:1.00971	validation-mlogloss:1.01240
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[36m(train_xgb_ray_tune pid=2298197)[0m [748]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [749]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [750]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [751]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [752]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [753]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [754]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [755]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [756]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [757]	train-mlogloss:0.94834	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [758]	train-mlogloss:0.94831	validation-mlogloss:0.97053
[36m(train_xgb_ray_tune pid=2298197)[0m [759]	train-mlogloss:0.94831	validation-mlogloss:0.97054
[36m(train_xgb_ray_tune pid=2298197)[0m [760]	train-mlogloss:0.94831	validation-mlogloss:0.97054
[36m(train_xgb_ray_tune pid=2298197)[0m [761]	train-mlogloss:0.94831	validation-mlogloss:0.97053
[36m(train_xgb_ray_tune pid=2298197)[0m [762]	train-mlogloss:0.94831	validation-mlogloss:0.97053
[36m(train_xgb_ray_tune pid=2298197)[0m [763]	train-mlogloss:0.94831	validation-mlogloss:0.97053
[36m(train_xgb_ray_tune pid=2298197)[0m [764]	train-mlogloss:0.94831	validation-mlogloss:0.97053
[36m(train_xgb_ray_tune pid=2298213)[0m [692]	train-mlogloss:1.00328	validation-mlogloss:1.01001
[36m(train_xgb_ray_tune pid=2298197)[0m [765]	train-mlogloss:0.94828	validation-mlogloss:0.97052

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:15. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.5281 │
│ time_total_s                 10.5281 │
│ training_iteration                 1 │
│ validation_accuracy          0.60709 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:15. Total running time: 13s

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:16. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.4458 │
│ time_total_s                 10.4458 │
│ training_iteration                 1 │
│ validation_accuracy          0.60709 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:16. Total running time: 13s
[36m(train_xgb_ray_tune pid=2298213)[0m [693]	train-mlogloss:1.00323	validation-mlogloss:1.00997
[36m(train_xgb_ray_tune pid=2298213)[0m [694]	train-mlogloss:1.00311	validation-mlogloss:1.00983
[36m(train_xgb_ray_tune pid=2298213)[0m [695]	train-mlogloss:1.00305	validation-mlogloss:1.00978
[36m(train_xgb_ray_tune pid=2298213)[0m [696]	train-mlogloss:1.00303	validation-mlogloss:1.00976
[36m(train_xgb_ray_tune pid=2298213)[0m [697]	train-mlogloss:1.00297	validation-mlogloss:1.00971
[36m(train_xgb_ray_tune pid=2298213)[0m [698]	train-mlogloss:1.00291	validation-mlogloss:1.00961
[36m(train_xgb_ray_tune pid=2298213)[0m [699]	train-mlogloss:1.00281	validation-mlogloss:1.00953
[36m(train_xgb_ray_tune pid=2298213)[0m [700]	train-mlogloss:1.00274	validation-mlogloss:1.00945
[36m(train_xgb_ray_tune pid=2298213)[0m [701]	train-mlogloss:1.00269	validation-mlogloss:1.00942
[36m(train_xgb_ray_tune pid=2298213)[0m [702]	train-mlogloss:1.00266	validation-mlogloss:1.00940
[36m(train_xgb_ray_tune pid=2298213)[0m [703]	train-mlogloss:1.00255	validation-mlogloss:1.00931
[36m(train_xgb_ray_tune pid=2298213)[0m [704]	train-mlogloss:1.00250	validation-mlogloss:1.00929
[36m(train_xgb_ray_tune pid=2298213)[0m [705]	train-mlogloss:1.00245	validation-mlogloss:1.00923
[36m(train_xgb_ray_tune pid=2298213)[0m [706]	train-mlogloss:1.00234	validation-mlogloss:1.00911
[36m(train_xgb_ray_tune pid=2298213)[0m [707]	train-mlogloss:1.00229	validation-mlogloss:1.00911
[36m(train_xgb_ray_tune pid=2298213)[0m [708]	train-mlogloss:1.00221	validation-mlogloss:1.00908
[36m(train_xgb_ray_tune pid=2298213)[0m [709]	train-mlogloss:1.00214	validation-mlogloss:1.00902
[36m(train_xgb_ray_tune pid=2298213)[0m [710]	train-mlogloss:1.00211	validation-mlogloss:1.00902
[36m(train_xgb_ray_tune pid=2298213)[0m [711]	train-mlogloss:1.00207	validation-mlogloss:1.00904
[36m(train_xgb_ray_tune pid=2298213)[0m [712]	train-mlogloss:1.00200	validation-mlogloss:1.00894
[36m(train_xgb_ray_tune pid=2298213)[0m [713]	train-mlogloss:1.00195	validation-mlogloss:1.00891
[36m(train_xgb_ray_tune pid=2298213)[0m [714]	train-mlogloss:1.00190	validation-mlogloss:1.00886
[36m(train_xgb_ray_tune pid=2298213)[0m [715]	train-mlogloss:1.00187	validation-mlogloss:1.00884
[36m(train_xgb_ray_tune pid=2298213)[0m [716]	train-mlogloss:1.00182	validation-mlogloss:1.00880
[36m(train_xgb_ray_tune pid=2298213)[0m [717]	train-mlogloss:1.00179	validation-mlogloss:1.00878
[36m(train_xgb_ray_tune pid=2298197)[0m [766]	train-mlogloss:0.94828	validation-mlogloss:0.97052
[36m(train_xgb_ray_tune pid=2298197)[0m [767]	train-mlogloss:0.94825	validation-mlogloss:0.97056
[36m(train_xgb_ray_tune pid=2298197)[0m [768]	train-mlogloss:0.94825	validation-mlogloss:0.97057
[36m(train_xgb_ray_tune pid=2298197)[0m [769]	train-mlogloss:0.94825	validation-mlogloss:0.97057
[36m(train_xgb_ray_tune pid=2298197)[0m [770]	train-mlogloss:0.94825	validation-mlogloss:0.97057
[36m(train_xgb_ray_tune pid=2298213)[0m [718]	train-mlogloss:1.00166	validation-mlogloss:1.00871
[36m(train_xgb_ray_tune pid=2298213)[0m [719]	train-mlogloss:1.00152	validation-mlogloss:1.00857

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:16. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             10.4668 │
│ time_total_s                 10.4668 │
│ training_iteration                 1 │
│ validation_accuracy          0.61657 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:16. Total running time: 13s
[36m(train_xgb_ray_tune pid=2298213)[0m [720]	train-mlogloss:1.00149	validation-mlogloss:1.00855
[36m(train_xgb_ray_tune pid=2298213)[0m [721]	train-mlogloss:1.00147	validation-mlogloss:1.00855
[36m(train_xgb_ray_tune pid=2298213)[0m [722]	train-mlogloss:1.00137	validation-mlogloss:1.00853
[36m(train_xgb_ray_tune pid=2298213)[0m [723]	train-mlogloss:1.00134	validation-mlogloss:1.00851
[36m(train_xgb_ray_tune pid=2298213)[0m [724]	train-mlogloss:1.00125	validation-mlogloss:1.00840
[36m(train_xgb_ray_tune pid=2298213)[0m [725]	train-mlogloss:1.00119	validation-mlogloss:1.00840
[36m(train_xgb_ray_tune pid=2298213)[0m [726]	train-mlogloss:1.00110	validation-mlogloss:1.00830
[36m(train_xgb_ray_tune pid=2298213)[0m [727]	train-mlogloss:1.00101	validation-mlogloss:1.00818
[36m(train_xgb_ray_tune pid=2298213)[0m [728]	train-mlogloss:1.00092	validation-mlogloss:1.00806
[36m(train_xgb_ray_tune pid=2298213)[0m [729]	train-mlogloss:1.00086	validation-mlogloss:1.00804
[36m(train_xgb_ray_tune pid=2298213)[0m [730]	train-mlogloss:1.00084	validation-mlogloss:1.00802
[36m(train_xgb_ray_tune pid=2298213)[0m [731]	train-mlogloss:1.00079	validation-mlogloss:1.00799
[36m(train_xgb_ray_tune pid=2298213)[0m [732]	train-mlogloss:1.00074	validation-mlogloss:1.00795
[36m(train_xgb_ray_tune pid=2298213)[0m [733]	train-mlogloss:1.00067	validation-mlogloss:1.00787
[36m(train_xgb_ray_tune pid=2298213)[0m [734]	train-mlogloss:1.00060	validation-mlogloss:1.00779
[36m(train_xgb_ray_tune pid=2298213)[0m [735]	train-mlogloss:1.00051	validation-mlogloss:1.00768
[36m(train_xgb_ray_tune pid=2298213)[0m [736]	train-mlogloss:1.00046	validation-mlogloss:1.00764
[36m(train_xgb_ray_tune pid=2298213)[0m [737]	train-mlogloss:1.00040	validation-mlogloss:1.00755
[36m(train_xgb_ray_tune pid=2298213)[0m [738]	train-mlogloss:1.00032	validation-mlogloss:1.00751
[36m(train_xgb_ray_tune pid=2298213)[0m [739]	train-mlogloss:1.00024	validation-mlogloss:1.00744
[36m(train_xgb_ray_tune pid=2298213)[0m [740]	train-mlogloss:1.00021	validation-mlogloss:1.00743
[36m(train_xgb_ray_tune pid=2298213)[0m [741]	train-mlogloss:1.00018	validation-mlogloss:1.00741
[36m(train_xgb_ray_tune pid=2298213)[0m [742]	train-mlogloss:1.00007	validation-mlogloss:1.00726
[36m(train_xgb_ray_tune pid=2298213)[0m [743]	train-mlogloss:1.00004	validation-mlogloss:1.00725
[36m(train_xgb_ray_tune pid=2298213)[0m [744]	train-mlogloss:0.99995	validation-mlogloss:1.00714
[36m(train_xgb_ray_tune pid=2298213)[0m [745]	train-mlogloss:0.99984	validation-mlogloss:1.00698
[36m(train_xgb_ray_tune pid=2298213)[0m [746]	train-mlogloss:0.99981	validation-mlogloss:1.00696
[36m(train_xgb_ray_tune pid=2298213)[0m [747]	train-mlogloss:0.99973	validation-mlogloss:1.00686
[36m(train_xgb_ray_tune pid=2298213)[0m [748]	train-mlogloss:0.99966	validation-mlogloss:1.00685
[36m(train_xgb_ray_tune pid=2298213)[0m [749]	train-mlogloss:0.99959	validation-mlogloss:1.00682
[36m(train_xgb_ray_tune pid=2298213)[0m [750]	train-mlogloss:0.99953	validation-mlogloss:1.00673
[36m(train_xgb_ray_tune pid=2298213)[0m [751]	train-mlogloss:0.99946	validation-mlogloss:1.00666
[36m(train_xgb_ray_tune pid=2298213)[0m [752]	train-mlogloss:0.99942	validation-mlogloss:1.00664
[36m(train_xgb_ray_tune pid=2298213)[0m [753]	train-mlogloss:0.99931	validation-mlogloss:1.00650
[36m(train_xgb_ray_tune pid=2298213)[0m [754]	train-mlogloss:0.99928	validation-mlogloss:1.00648
[36m(train_xgb_ray_tune pid=2298213)[0m [755]	train-mlogloss:0.99917	validation-mlogloss:1.00635
[36m(train_xgb_ray_tune pid=2298213)[0m [756]	train-mlogloss:0.99910	validation-mlogloss:1.00626
[36m(train_xgb_ray_tune pid=2298213)[0m [757]	train-mlogloss:0.99908	validation-mlogloss:1.00625
[36m(train_xgb_ray_tune pid=2298213)[0m [758]	train-mlogloss:0.99903	validation-mlogloss:1.00625
[36m(train_xgb_ray_tune pid=2298213)[0m [759]	train-mlogloss:0.99898	validation-mlogloss:1.00622
[36m(train_xgb_ray_tune pid=2298213)[0m [760]	train-mlogloss:0.99889	validation-mlogloss:1.00611
[36m(train_xgb_ray_tune pid=2298213)[0m [761]	train-mlogloss:0.99881	validation-mlogloss:1.00602
[36m(train_xgb_ray_tune pid=2298213)[0m [762]	train-mlogloss:0.99879	validation-mlogloss:1.00602
[36m(train_xgb_ray_tune pid=2298213)[0m [763]	train-mlogloss:0.99876	validation-mlogloss:1.00600
[36m(train_xgb_ray_tune pid=2298213)[0m [764]	train-mlogloss:0.99868	validation-mlogloss:1.00591
[36m(train_xgb_ray_tune pid=2298213)[0m [765]	train-mlogloss:0.99866	validation-mlogloss:1.00590
[36m(train_xgb_ray_tune pid=2298213)[0m [766]	train-mlogloss:0.99866	validation-mlogloss:1.00590
[36m(train_xgb_ray_tune pid=2298213)[0m [767]	train-mlogloss:0.99863	validation-mlogloss:1.00590
[36m(train_xgb_ray_tune pid=2298213)[0m [768]	train-mlogloss:0.99857	validation-mlogloss:1.00582
[36m(train_xgb_ray_tune pid=2298213)[0m [769]	train-mlogloss:0.99855	validation-mlogloss:1.00580
2025-11-07 09:09:16,436	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_M/case_M_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning' in 0.0176s.
[36m(train_xgb_ray_tune pid=2298213)[0m [770]	train-mlogloss:0.99850	validation-mlogloss:1.00579

Trial trial_058ee finished iteration 1 at 2025-11-07 09:09:16. Total running time: 13s
╭──────────────────────────────────────╮
│ Trial trial_058ee result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              10.752 │
│ time_total_s                  10.752 │
│ training_iteration                 1 │
│ validation_accuracy          0.60955 │
╰──────────────────────────────────────╯

Trial trial_058ee completed after 1 iterations at 2025-11-07 09:09:16. Total running time: 13s

Trial status: 20 TERMINATED
Current time: 2025-11-07 09:09:16. Total running time: 13s
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_058ee    TERMINATED                 621             3        0.0104234       0.68198              0.743372   27.6832                   112     335.116           9.5097             8462        1            6.97828                0.469803 │
│ trial_058ee    TERMINATED                 492             3        0.00658327      0.521562             0.683922    7.32494                   75      15.788          50.09               7643        1           10.1953                 0.619031 │
│ trial_058ee    TERMINATED                 227             3        0.0183834       0.838165             0.531072   10.9353                   195      11.616         173.499               763        1            7.56428                0.625    │
│ trial_058ee    TERMINATED                 521             2        0.010624        0.701867             0.520519   12.2543                   187       1.43729       363.444              7530        1            9.26444                0.603933 │
│ trial_058ee    TERMINATED                 266             3        0.0177658       0.630764             0.530072   21.8123                    76      18.1055         51.5492             3212        1            7.37062                0.609199 │
│ trial_058ee    TERMINATED                 717             3        0.010262        0.738484             0.785851   26.263                    171       3.74015       274.428              6852        1           10.4458                 0.607093 │
│ trial_058ee    TERMINATED                 685             3        0.0189437       0.771624             0.838815   13.745                     93     258.664         189.372              4192        1            7.36374                0.513343 │
│ trial_058ee    TERMINATED                 757             2        0.0191456       0.545694             0.69183     7.19457                   74      21.9955        503.337              6297        1           10.5281                 0.607093 │
│ trial_058ee    TERMINATED                 461             2        0.00989554      0.608665             0.752347   10.461                     84     136.318          20.5145             9289        1            8.62565                0.555478 │
│ trial_058ee    TERMINATED                 324             2        0.0155108       0.507982             0.754558   27.2507                    56       4.11649         5.7307             3093        1            7.58074                0.606039 │
│ trial_058ee    TERMINATED                 484             3        0.0151901       0.822172             0.579085   15.217                    163      31.6981        124.122              9054        1            9.01923                0.619031 │
│ trial_058ee    TERMINATED                 560             3        0.0131194       0.539132             0.723549   25.8805                    61       1.09879       886.468              3789        1            9.59441                0.55302  │
│ trial_058ee    TERMINATED                 405             2        0.018755        0.593212             0.817912   15.351                    101       2.08594       427.295               548        1            8.40997                0.598315 │
│ trial_058ee    TERMINATED                 551             2        0.0162149       0.527195             0.841028   21.4175                    98     524.883         170.086              4444        1            4.2166                 0.263343 │
│ trial_058ee    TERMINATED                 771             3        0.00943499      0.764955             0.693125   18.9043                   172       6.02648       379.568              4155        1           10.752                  0.609551 │
│ trial_058ee    TERMINATED                 477             3        0.0134239       0.723686             0.581329   16.1079                   180       2.97998        83.3862             3731        1            9.36966                0.622191 │
│ trial_058ee    TERMINATED                 790             3        0.0151156       0.548469             0.522697   13.6975                   102       5.10953        37.975              1568        1           10.4668                 0.616573 │
│ trial_058ee    TERMINATED                 563             3        0.0161824       0.794606             0.621849   19.5791                   179     501.993         295.636              4842        1            5.9491                 0.441713 │
│ trial_058ee    TERMINATED                 471             3        0.0187873       0.761082             0.64704    13.7462                   160       5.14055        48.5749             7712        1            9.0597                 0.623244 │
│ trial_058ee    TERMINATED                 313             3        0.0117822       0.839312             0.549124   29.9886                   166      12.6786         35.095              1418        1            7.72168                0.61868  │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Mejores hiperparámetros XGBoost: {'num_boost_round': 227, 'max_depth': 3, 'learning_rate': 0.01838335318127782, 'subsample': 0.8381649800958038, 'colsample_bytree': 0.5310718042306738, 'gamma': 10.935338023566908, 'min_child_weight': 195, 'reg_alpha': 11.615982622184852, 'reg_lambda': 173.49856963428365, 'random_state': 763}
[0]	train-mlogloss:1.38060	validation-mlogloss:1.38060
[1]	train-mlogloss:1.37528	validation-mlogloss:1.37558
[2]	train-mlogloss:1.36960	validation-mlogloss:1.36965
[3]	train-mlogloss:1.36413	validation-mlogloss:1.36415
[4]	train-mlogloss:1.35907	validation-mlogloss:1.35909
[5]	train-mlogloss:1.35370	validation-mlogloss:1.35332
[6]	train-mlogloss:1.34854	validation-mlogloss:1.34803
[7]	train-mlogloss:1.34371	validation-mlogloss:1.34318
[8]	train-mlogloss:1.33885	validation-mlogloss:1.33858
[9]	train-mlogloss:1.33385	validation-mlogloss:1.33330
[10]	train-mlogloss:1.32923	validation-mlogloss:1.32868
[11]	train-mlogloss:1.32467	validation-mlogloss:1.32410
[12]	train-mlogloss:1.32001	validation-mlogloss:1.31950
[13]	train-mlogloss:1.31541	validation-mlogloss:1.31458
[14]	train-mlogloss:1.31074	validation-mlogloss:1.30983
[15]	train-mlogloss:1.30609	validation-mlogloss:1.30491
[16]	train-mlogloss:1.30172	validation-mlogloss:1.30058
[17]	train-mlogloss:1.29730	validation-mlogloss:1.29598
[18]	train-mlogloss:1.29310	validation-mlogloss:1.29162
[19]	train-mlogloss:1.28891	validation-mlogloss:1.28736
[20]	train-mlogloss:1.28485	validation-mlogloss:1.28321
[21]	train-mlogloss:1.28085	validation-mlogloss:1.27909
[22]	train-mlogloss:1.27684	validation-mlogloss:1.27497
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[224]	train-mlogloss:0.98421	validation-mlogloss:0.99835
[225]	train-mlogloss:0.98385	validation-mlogloss:0.99810
[226]	train-mlogloss:0.98340	validation-mlogloss:0.99780
Saved model to disk.
[36m(train_xgb_ray_tune pid=2298213)[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 6x across cluster][0m
[36m(train_xgb_ray_tune pid=2298213)[0m   _log_deprecation_warning([32m [repeated 6x across cluster][0m
2025-11-07 09:09:26.865797: 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 09:09:26.877042: 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 00:00:1762502966.890090 2299910 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762502966.894203 2299910 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762502966.904330 2299910 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502966.904350 2299910 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502966.904353 2299910 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502966.904354 2299910 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:09:26.907525: 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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[21]	train-mlogloss:1.27812	validation-mlogloss:1.27649
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[155]	train-mlogloss:1.02024	validation-mlogloss:1.02601
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[158]	train-mlogloss:1.01785	validation-mlogloss:1.02428
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[160]	train-mlogloss:1.01616	validation-mlogloss:1.02302
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[167]	train-mlogloss:1.01079	validation-mlogloss:1.01879
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[169]	train-mlogloss:1.00939	validation-mlogloss:1.01780
[170]	train-mlogloss:1.00882	validation-mlogloss:1.01715
[171]	train-mlogloss:1.00815	validation-mlogloss:1.01660
[172]	train-mlogloss:1.00743	validation-mlogloss:1.01597
[173]	train-mlogloss:1.00679	validation-mlogloss:1.01526
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[175]	train-mlogloss:1.00532	validation-mlogloss:1.01403
[176]	train-mlogloss:1.00460	validation-mlogloss:1.01337
[177]	train-mlogloss:1.00397	validation-mlogloss:1.01280
[178]	train-mlogloss:1.00341	validation-mlogloss:1.01246
[179]	train-mlogloss:1.00262	validation-mlogloss:1.01184
[180]	train-mlogloss:1.00189	validation-mlogloss:1.01127
[181]	train-mlogloss:1.00132	validation-mlogloss:1.01076
[182]	train-mlogloss:1.00068	validation-mlogloss:1.01018
[183]	train-mlogloss:0.99998	validation-mlogloss:1.00967
[184]	train-mlogloss:0.99947	validation-mlogloss:1.00927
[185]	train-mlogloss:0.99895	validation-mlogloss:1.00897
[186]	train-mlogloss:0.99826	validation-mlogloss:1.00828
[187]	train-mlogloss:0.99773	validation-mlogloss:1.00786
[188]	train-mlogloss:0.99720	validation-mlogloss:1.00767
[189]	train-mlogloss:0.99664	validation-mlogloss:1.00732
[190]	train-mlogloss:0.99617	validation-mlogloss:1.00681
[191]	train-mlogloss:0.99560	validation-mlogloss:1.00633
[192]	train-mlogloss:0.99505	validation-mlogloss:1.00593
[193]	train-mlogloss:0.99441	validation-mlogloss:1.00534
[194]	train-mlogloss:0.99373	validation-mlogloss:1.00475
[195]	train-mlogloss:0.99321	validation-mlogloss:1.00432
[196]	train-mlogloss:0.99275	validation-mlogloss:1.00401
[197]	train-mlogloss:0.99232	validation-mlogloss:1.00374
[198]	train-mlogloss:0.99188	validation-mlogloss:1.00336
[199]	train-mlogloss:0.99144	validation-mlogloss:1.00295
[200]	train-mlogloss:0.99092	validation-mlogloss:1.00245
[201]	train-mlogloss:0.99060	validation-mlogloss:1.00225
[202]	train-mlogloss:0.99001	validation-mlogloss:1.00178
[203]	train-mlogloss:0.98948	validation-mlogloss:1.00130
[204]	train-mlogloss:0.98904	validation-mlogloss:1.00111
[205]	train-mlogloss:0.98855	validation-mlogloss:1.00078
[206]	train-mlogloss:0.98821	validation-mlogloss:1.00051
[207]	train-mlogloss:0.98767	validation-mlogloss:1.00026
[208]	train-mlogloss:0.98717	validation-mlogloss:0.99985
[209]	train-mlogloss:0.98668	validation-mlogloss:0.99942
[210]	train-mlogloss:0.98634	validation-mlogloss:0.99928
[211]	train-mlogloss:0.98586	validation-mlogloss:0.99900
[212]	train-mlogloss:0.98536	validation-mlogloss:0.99875
[213]	train-mlogloss:0.98490	validation-mlogloss:0.99830
[214]	train-mlogloss:0.98439	validation-mlogloss:0.99785
[215]	train-mlogloss:0.98400	validation-mlogloss:0.99750
[216]	train-mlogloss:0.98351	validation-mlogloss:0.99715
[217]	train-mlogloss:0.98314	validation-mlogloss:0.99684
[218]	train-mlogloss:0.98270	validation-mlogloss:0.99636
[219]	train-mlogloss:0.98226	validation-mlogloss:0.99612
[220]	train-mlogloss:0.98192	validation-mlogloss:0.99590
[221]	train-mlogloss:0.98157	validation-mlogloss:0.99563
[222]	train-mlogloss:0.98121	validation-mlogloss:0.99541
[223]	train-mlogloss:0.98087	validation-mlogloss:0.99518
[224]	train-mlogloss:0.98038	validation-mlogloss:0.99490
[225]	train-mlogloss:0.97997	validation-mlogloss:0.99450
[226]	train-mlogloss:0.97935	validation-mlogloss:0.99399
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 0 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.39 [%]
Global accuracy score (test) = 58.58 [%]
Global F1 score (train) = 60.35 [%]
Global F1 score (test) = 58.74 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.44      0.39      0.41       400
MODERATE-INTENSITY       0.55      0.66      0.60       400
         SEDENTARY       0.63      0.71      0.67       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.60      0.59      0.59      1545
      weighted avg       0.59      0.59      0.58      1545


Accuracy capturado en la ejecución 1: 58.58 [%]
F1-score capturado en la ejecución 1: 58.74 [%]

=== EJECUCIÓN 2 ===

--- TRAIN (ejecución 2) ---

--- TEST (ejecución 2) ---
2025-11-07 09:09:37.801321: 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 09:09:37.812726: 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 00:00:1762502977.825853 2300160 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762502977.830067 2300160 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762502977.840016 2300160 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502977.840038 2300160 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502977.840040 2300160 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502977.840041 2300160 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:09:37.843146: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.38050	validation-mlogloss:1.38029
[1]	train-mlogloss:1.37492	validation-mlogloss:1.37468
[2]	train-mlogloss:1.36942	validation-mlogloss:1.36895
[3]	train-mlogloss:1.36387	validation-mlogloss:1.36325
[4]	train-mlogloss:1.35856	validation-mlogloss:1.35768
[5]	train-mlogloss:1.35337	validation-mlogloss:1.35246
[6]	train-mlogloss:1.34823	validation-mlogloss:1.34712
[7]	train-mlogloss:1.34294	validation-mlogloss:1.34171
[8]	train-mlogloss:1.33797	validation-mlogloss:1.33647
[9]	train-mlogloss:1.33312	validation-mlogloss:1.33155
[10]	train-mlogloss:1.32860	validation-mlogloss:1.32686
[11]	train-mlogloss:1.32370	validation-mlogloss:1.32184
[12]	train-mlogloss:1.31882	validation-mlogloss:1.31654
[13]	train-mlogloss:1.31393	validation-mlogloss:1.31137
[14]	train-mlogloss:1.30975	validation-mlogloss:1.30721
[15]	train-mlogloss:1.30542	validation-mlogloss:1.30292
[16]	train-mlogloss:1.30096	validation-mlogloss:1.29824
[17]	train-mlogloss:1.29648	validation-mlogloss:1.29366
[18]	train-mlogloss:1.29241	validation-mlogloss:1.28944
[19]	train-mlogloss:1.28859	validation-mlogloss:1.28518
[20]	train-mlogloss:1.28439	validation-mlogloss:1.28086
[21]	train-mlogloss:1.28049	validation-mlogloss:1.27685
[22]	train-mlogloss:1.27640	validation-mlogloss:1.27265
[23]	train-mlogloss:1.27240	validation-mlogloss:1.26843
[24]	train-mlogloss:1.26857	validation-mlogloss:1.26444
[25]	train-mlogloss:1.26481	validation-mlogloss:1.26055
[26]	train-mlogloss:1.26105	validation-mlogloss:1.25673
[27]	train-mlogloss:1.25750	validation-mlogloss:1.25341
[28]	train-mlogloss:1.25395	validation-mlogloss:1.24986
[29]	train-mlogloss:1.25024	validation-mlogloss:1.24603
[30]	train-mlogloss:1.24666	validation-mlogloss:1.24268
[31]	train-mlogloss:1.24305	validation-mlogloss:1.23896
[32]	train-mlogloss:1.23962	validation-mlogloss:1.23566
[33]	train-mlogloss:1.23628	validation-mlogloss:1.23235
[34]	train-mlogloss:1.23271	validation-mlogloss:1.22854
[35]	train-mlogloss:1.22943	validation-mlogloss:1.22512
[36]	train-mlogloss:1.22586	validation-mlogloss:1.22151
[37]	train-mlogloss:1.22281	validation-mlogloss:1.21852
[38]	train-mlogloss:1.21940	validation-mlogloss:1.21506
[39]	train-mlogloss:1.21631	validation-mlogloss:1.21215
[40]	train-mlogloss:1.21327	validation-mlogloss:1.20916
[41]	train-mlogloss:1.21023	validation-mlogloss:1.20634
[42]	train-mlogloss:1.20725	validation-mlogloss:1.20346
[43]	train-mlogloss:1.20439	validation-mlogloss:1.20062
[44]	train-mlogloss:1.20126	validation-mlogloss:1.19743
[45]	train-mlogloss:1.19832	validation-mlogloss:1.19443
[46]	train-mlogloss:1.19558	validation-mlogloss:1.19167
[47]	train-mlogloss:1.19277	validation-mlogloss:1.18871
[48]	train-mlogloss:1.19019	validation-mlogloss:1.18628
[49]	train-mlogloss:1.18718	validation-mlogloss:1.18327
[50]	train-mlogloss:1.18456	validation-mlogloss:1.18061
[51]	train-mlogloss:1.18190	validation-mlogloss:1.17800
[52]	train-mlogloss:1.17941	validation-mlogloss:1.17572
[53]	train-mlogloss:1.17687	validation-mlogloss:1.17337
[54]	train-mlogloss:1.17443	validation-mlogloss:1.17118
[55]	train-mlogloss:1.17201	validation-mlogloss:1.16862
[56]	train-mlogloss:1.16951	validation-mlogloss:1.16605
[57]	train-mlogloss:1.16717	validation-mlogloss:1.16368
[58]	train-mlogloss:1.16448	validation-mlogloss:1.16082
[59]	train-mlogloss:1.16214	validation-mlogloss:1.15840
[60]	train-mlogloss:1.15961	validation-mlogloss:1.15578
[61]	train-mlogloss:1.15733	validation-mlogloss:1.15352
[62]	train-mlogloss:1.15507	validation-mlogloss:1.15110
[63]	train-mlogloss:1.15255	validation-mlogloss:1.14864
[64]	train-mlogloss:1.15018	validation-mlogloss:1.14619
[65]	train-mlogloss:1.14810	validation-mlogloss:1.14424
[66]	train-mlogloss:1.14600	validation-mlogloss:1.14216
[67]	train-mlogloss:1.14392	validation-mlogloss:1.14003
[68]	train-mlogloss:1.14193	validation-mlogloss:1.13806
[69]	train-mlogloss:1.13991	validation-mlogloss:1.13631
[70]	train-mlogloss:1.13781	validation-mlogloss:1.13425
[71]	train-mlogloss:1.13552	validation-mlogloss:1.13196
[72]	train-mlogloss:1.13335	validation-mlogloss:1.12972
[73]	train-mlogloss:1.13140	validation-mlogloss:1.12788
[74]	train-mlogloss:1.12953	validation-mlogloss:1.12630
[75]	train-mlogloss:1.12730	validation-mlogloss:1.12395
[76]	train-mlogloss:1.12553	validation-mlogloss:1.12235
[77]	train-mlogloss:1.12383	validation-mlogloss:1.12058
[78]	train-mlogloss:1.12201	validation-mlogloss:1.11876
[79]	train-mlogloss:1.12032	validation-mlogloss:1.11724
[80]	train-mlogloss:1.11835	validation-mlogloss:1.11541
[81]	train-mlogloss:1.11665	validation-mlogloss:1.11385
[82]	train-mlogloss:1.11480	validation-mlogloss:1.11201
[83]	train-mlogloss:1.11314	validation-mlogloss:1.11043
[84]	train-mlogloss:1.11128	validation-mlogloss:1.10861
[85]	train-mlogloss:1.10950	validation-mlogloss:1.10690
[86]	train-mlogloss:1.10789	validation-mlogloss:1.10530
[87]	train-mlogloss:1.10616	validation-mlogloss:1.10373
[88]	train-mlogloss:1.10442	validation-mlogloss:1.10198
[89]	train-mlogloss:1.10283	validation-mlogloss:1.10055
[90]	train-mlogloss:1.10120	validation-mlogloss:1.09896
[91]	train-mlogloss:1.09965	validation-mlogloss:1.09745
[92]	train-mlogloss:1.09816	validation-mlogloss:1.09605
[93]	train-mlogloss:1.09653	validation-mlogloss:1.09432
[94]	train-mlogloss:1.09516	validation-mlogloss:1.09294
[95]	train-mlogloss:1.09360	validation-mlogloss:1.09142
[96]	train-mlogloss:1.09191	validation-mlogloss:1.08982
[97]	train-mlogloss:1.09051	validation-mlogloss:1.08866
[98]	train-mlogloss:1.08894	validation-mlogloss:1.08690
[99]	train-mlogloss:1.08765	validation-mlogloss:1.08568
[100]	train-mlogloss:1.08630	validation-mlogloss:1.08435
[101]	train-mlogloss:1.08496	validation-mlogloss:1.08308
[102]	train-mlogloss:1.08358	validation-mlogloss:1.08186
[103]	train-mlogloss:1.08217	validation-mlogloss:1.08047
[104]	train-mlogloss:1.08058	validation-mlogloss:1.07893
[105]	train-mlogloss:1.07916	validation-mlogloss:1.07742
[106]	train-mlogloss:1.07781	validation-mlogloss:1.07623
[107]	train-mlogloss:1.07649	validation-mlogloss:1.07499
[108]	train-mlogloss:1.07518	validation-mlogloss:1.07380
[109]	train-mlogloss:1.07388	validation-mlogloss:1.07263
[110]	train-mlogloss:1.07248	validation-mlogloss:1.07127
[111]	train-mlogloss:1.07117	validation-mlogloss:1.07004
[112]	train-mlogloss:1.06996	validation-mlogloss:1.06904
[113]	train-mlogloss:1.06868	validation-mlogloss:1.06787
[114]	train-mlogloss:1.06740	validation-mlogloss:1.06658
[115]	train-mlogloss:1.06614	validation-mlogloss:1.06543
[116]	train-mlogloss:1.06493	validation-mlogloss:1.06417
[117]	train-mlogloss:1.06378	validation-mlogloss:1.06317
[118]	train-mlogloss:1.06249	validation-mlogloss:1.06211
[119]	train-mlogloss:1.06139	validation-mlogloss:1.06102
[120]	train-mlogloss:1.06021	validation-mlogloss:1.06000
[121]	train-mlogloss:1.05905	validation-mlogloss:1.05895
[122]	train-mlogloss:1.05793	validation-mlogloss:1.05794
[123]	train-mlogloss:1.05665	validation-mlogloss:1.05676
[124]	train-mlogloss:1.05557	validation-mlogloss:1.05574
[125]	train-mlogloss:1.05443	validation-mlogloss:1.05465
[126]	train-mlogloss:1.05326	validation-mlogloss:1.05365
[127]	train-mlogloss:1.05212	validation-mlogloss:1.05253
[128]	train-mlogloss:1.05118	validation-mlogloss:1.05163
[129]	train-mlogloss:1.05033	validation-mlogloss:1.05096
[130]	train-mlogloss:1.04938	validation-mlogloss:1.05018
[131]	train-mlogloss:1.04839	validation-mlogloss:1.04920
[132]	train-mlogloss:1.04749	validation-mlogloss:1.04834
[133]	train-mlogloss:1.04641	validation-mlogloss:1.04746
[134]	train-mlogloss:1.04538	validation-mlogloss:1.04641
[135]	train-mlogloss:1.04442	validation-mlogloss:1.04557
[136]	train-mlogloss:1.04335	validation-mlogloss:1.04467
[137]	train-mlogloss:1.04242	validation-mlogloss:1.04369
[138]	train-mlogloss:1.04143	validation-mlogloss:1.04282
[139]	train-mlogloss:1.04029	validation-mlogloss:1.04172
[140]	train-mlogloss:1.03927	validation-mlogloss:1.04085
[141]	train-mlogloss:1.03812	validation-mlogloss:1.03978
[142]	train-mlogloss:1.03724	validation-mlogloss:1.03910
[143]	train-mlogloss:1.03650	validation-mlogloss:1.03858
[144]	train-mlogloss:1.03551	validation-mlogloss:1.03747
[145]	train-mlogloss:1.03456	validation-mlogloss:1.03654
[146]	train-mlogloss:1.03362	validation-mlogloss:1.03570
[147]	train-mlogloss:1.03270	validation-mlogloss:1.03486
[148]	train-mlogloss:1.03178	validation-mlogloss:1.03392
[149]	train-mlogloss:1.03090	validation-mlogloss:1.03301
[150]	train-mlogloss:1.03004	validation-mlogloss:1.03212
[151]	train-mlogloss:1.02929	validation-mlogloss:1.03122
[152]	train-mlogloss:1.02847	validation-mlogloss:1.03040
[153]	train-mlogloss:1.02757	validation-mlogloss:1.02974
[154]	train-mlogloss:1.02684	validation-mlogloss:1.02931
[155]	train-mlogloss:1.02606	validation-mlogloss:1.02858
[156]	train-mlogloss:1.02532	validation-mlogloss:1.02798
[157]	train-mlogloss:1.02458	validation-mlogloss:1.02724
[158]	train-mlogloss:1.02375	validation-mlogloss:1.02659
[159]	train-mlogloss:1.02294	validation-mlogloss:1.02595
[160]	train-mlogloss:1.02222	validation-mlogloss:1.02524
[161]	train-mlogloss:1.02152	validation-mlogloss:1.02446
[162]	train-mlogloss:1.02075	validation-mlogloss:1.02393
[163]	train-mlogloss:1.01995	validation-mlogloss:1.02322
[164]	train-mlogloss:1.01918	validation-mlogloss:1.02266
[165]	train-mlogloss:1.01852	validation-mlogloss:1.02209
[166]	train-mlogloss:1.01777	validation-mlogloss:1.02150
[167]	train-mlogloss:1.01706	validation-mlogloss:1.02096
[168]	train-mlogloss:1.01636	validation-mlogloss:1.02037
[169]	train-mlogloss:1.01566	validation-mlogloss:1.01973
[170]	train-mlogloss:1.01500	validation-mlogloss:1.01904
[171]	train-mlogloss:1.01437	validation-mlogloss:1.01845
[172]	train-mlogloss:1.01376	validation-mlogloss:1.01784
[173]	train-mlogloss:1.01315	validation-mlogloss:1.01724
[174]	train-mlogloss:1.01252	validation-mlogloss:1.01660
[175]	train-mlogloss:1.01191	validation-mlogloss:1.01615
[176]	train-mlogloss:1.01132	validation-mlogloss:1.01571
[177]	train-mlogloss:1.01059	validation-mlogloss:1.01517
[178]	train-mlogloss:1.00989	validation-mlogloss:1.01460
[179]	train-mlogloss:1.00926	validation-mlogloss:1.01403
[180]	train-mlogloss:1.00860	validation-mlogloss:1.01347
[181]	train-mlogloss:1.00789	validation-mlogloss:1.01290
[182]	train-mlogloss:1.00732	validation-mlogloss:1.01247
[183]	train-mlogloss:1.00672	validation-mlogloss:1.01200
[184]	train-mlogloss:1.00615	validation-mlogloss:1.01152
[185]	train-mlogloss:1.00562	validation-mlogloss:1.01114
[186]	train-mlogloss:1.00507	validation-mlogloss:1.01071
[187]	train-mlogloss:1.00439	validation-mlogloss:1.01003
[188]	train-mlogloss:1.00383	validation-mlogloss:1.00957
[189]	train-mlogloss:1.00333	validation-mlogloss:1.00925
[190]	train-mlogloss:1.00273	validation-mlogloss:1.00865
[191]	train-mlogloss:1.00226	validation-mlogloss:1.00831
[192]	train-mlogloss:1.00175	validation-mlogloss:1.00789
[193]	train-mlogloss:1.00127	validation-mlogloss:1.00760
[194]	train-mlogloss:1.00058	validation-mlogloss:1.00709
[195]	train-mlogloss:1.00004	validation-mlogloss:1.00651
[196]	train-mlogloss:0.99951	validation-mlogloss:1.00619
[197]	train-mlogloss:0.99883	validation-mlogloss:1.00552
[198]	train-mlogloss:0.99846	validation-mlogloss:1.00532
[199]	train-mlogloss:0.99796	validation-mlogloss:1.00491
[200]	train-mlogloss:0.99748	validation-mlogloss:1.00454
[201]	train-mlogloss:0.99691	validation-mlogloss:1.00405
[202]	train-mlogloss:0.99625	validation-mlogloss:1.00359
[203]	train-mlogloss:0.99555	validation-mlogloss:1.00304
[204]	train-mlogloss:0.99498	validation-mlogloss:1.00259
[205]	train-mlogloss:0.99445	validation-mlogloss:1.00205
[206]	train-mlogloss:0.99401	validation-mlogloss:1.00158
[207]	train-mlogloss:0.99358	validation-mlogloss:1.00133
[208]	train-mlogloss:0.99314	validation-mlogloss:1.00095
[209]	train-mlogloss:0.99267	validation-mlogloss:1.00063
[210]	train-mlogloss:0.99222	validation-mlogloss:1.00056
[211]	train-mlogloss:0.99175	validation-mlogloss:1.00010
[212]	train-mlogloss:0.99124	validation-mlogloss:0.99974
[213]	train-mlogloss:0.99079	validation-mlogloss:0.99938
[214]	train-mlogloss:0.99029	validation-mlogloss:0.99899
[215]	train-mlogloss:0.98969	validation-mlogloss:0.99849
[216]	train-mlogloss:0.98925	validation-mlogloss:0.99819
[217]	train-mlogloss:0.98878	validation-mlogloss:0.99779
[218]	train-mlogloss:0.98837	validation-mlogloss:0.99742
[219]	train-mlogloss:0.98792	validation-mlogloss:0.99698
[220]	train-mlogloss:0.98747	validation-mlogloss:0.99650
[221]	train-mlogloss:0.98707	validation-mlogloss:0.99609
[222]	train-mlogloss:0.98654	validation-mlogloss:0.99575
[223]	train-mlogloss:0.98608	validation-mlogloss:0.99541
[224]	train-mlogloss:0.98567	validation-mlogloss:0.99516
[225]	train-mlogloss:0.98526	validation-mlogloss:0.99499
[226]	train-mlogloss:0.98485	validation-mlogloss:0.99478
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)
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.91 [%]
Global accuracy score (test) = 58.38 [%]
Global F1 score (train) = 60.98 [%]
Global F1 score (test) = 58.76 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.41      0.42       400
MODERATE-INTENSITY       0.54      0.62      0.58       400
         SEDENTARY       0.63      0.72      0.67       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.58      1545
         macro avg       0.60      0.58      0.59      1545
      weighted avg       0.60      0.58      0.58      1545


Accuracy capturado en la ejecución 2: 58.38 [%]
F1-score capturado en la ejecución 2: 58.76 [%]

=== EJECUCIÓN 3 ===

--- TRAIN (ejecución 3) ---

--- TEST (ejecución 3) ---
2025-11-07 09:09:48.782126: 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 09:09:48.793948: 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 00:00:1762502988.807782 2300407 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762502988.812117 2300407 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762502988.822624 2300407 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502988.822647 2300407 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502988.822650 2300407 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502988.822652 2300407 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:09:48.825960: 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)
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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)
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Training a non-convolutional model.
[0]	train-mlogloss:1.38042	validation-mlogloss:1.38027
[1]	train-mlogloss:1.37469	validation-mlogloss:1.37462
[2]	train-mlogloss:1.36933	validation-mlogloss:1.36954
[3]	train-mlogloss:1.36399	validation-mlogloss:1.36416
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[6]	train-mlogloss:1.34856	validation-mlogloss:1.34891
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[9]	train-mlogloss:1.33376	validation-mlogloss:1.33399
[10]	train-mlogloss:1.32890	validation-mlogloss:1.32923
[11]	train-mlogloss:1.32426	validation-mlogloss:1.32462
[12]	train-mlogloss:1.31956	validation-mlogloss:1.31971
[13]	train-mlogloss:1.31500	validation-mlogloss:1.31530
[14]	train-mlogloss:1.31027	validation-mlogloss:1.31056
[15]	train-mlogloss:1.30590	validation-mlogloss:1.30642
[16]	train-mlogloss:1.30160	validation-mlogloss:1.30220
[17]	train-mlogloss:1.29726	validation-mlogloss:1.29776
[18]	train-mlogloss:1.29275	validation-mlogloss:1.29325
[19]	train-mlogloss:1.28858	validation-mlogloss:1.28889
[20]	train-mlogloss:1.28452	validation-mlogloss:1.28457
[21]	train-mlogloss:1.28041	validation-mlogloss:1.28026
[22]	train-mlogloss:1.27634	validation-mlogloss:1.27611
[23]	train-mlogloss:1.27229	validation-mlogloss:1.27198
[24]	train-mlogloss:1.26822	validation-mlogloss:1.26778
[25]	train-mlogloss:1.26451	validation-mlogloss:1.26418
[26]	train-mlogloss:1.26062	validation-mlogloss:1.26026
[27]	train-mlogloss:1.25695	validation-mlogloss:1.25651
[28]	train-mlogloss:1.25328	validation-mlogloss:1.25311
[29]	train-mlogloss:1.24996	validation-mlogloss:1.24996
[30]	train-mlogloss:1.24622	validation-mlogloss:1.24617
[31]	train-mlogloss:1.24275	validation-mlogloss:1.24276
[32]	train-mlogloss:1.23921	validation-mlogloss:1.23932
[33]	train-mlogloss:1.23560	validation-mlogloss:1.23562
[34]	train-mlogloss:1.23202	validation-mlogloss:1.23196
[35]	train-mlogloss:1.22879	validation-mlogloss:1.22868
[36]	train-mlogloss:1.22533	validation-mlogloss:1.22528
[37]	train-mlogloss:1.22217	validation-mlogloss:1.22239
[38]	train-mlogloss:1.21898	validation-mlogloss:1.21932
[39]	train-mlogloss:1.21593	validation-mlogloss:1.21628
[40]	train-mlogloss:1.21275	validation-mlogloss:1.21296
[41]	train-mlogloss:1.20968	validation-mlogloss:1.20973
[42]	train-mlogloss:1.20672	validation-mlogloss:1.20675
[43]	train-mlogloss:1.20382	validation-mlogloss:1.20392
[44]	train-mlogloss:1.20100	validation-mlogloss:1.20136
[45]	train-mlogloss:1.19834	validation-mlogloss:1.19891
[46]	train-mlogloss:1.19559	validation-mlogloss:1.19618
[47]	train-mlogloss:1.19289	validation-mlogloss:1.19359
[48]	train-mlogloss:1.19023	validation-mlogloss:1.19102
[49]	train-mlogloss:1.18750	validation-mlogloss:1.18835
[50]	train-mlogloss:1.18489	validation-mlogloss:1.18587
[51]	train-mlogloss:1.18243	validation-mlogloss:1.18331
[52]	train-mlogloss:1.17964	validation-mlogloss:1.18052
[53]	train-mlogloss:1.17716	validation-mlogloss:1.17830
[54]	train-mlogloss:1.17468	validation-mlogloss:1.17589
[55]	train-mlogloss:1.17224	validation-mlogloss:1.17339
[56]	train-mlogloss:1.16977	validation-mlogloss:1.17112
[57]	train-mlogloss:1.16741	validation-mlogloss:1.16889
[58]	train-mlogloss:1.16510	validation-mlogloss:1.16652
[59]	train-mlogloss:1.16284	validation-mlogloss:1.16462
[60]	train-mlogloss:1.16064	validation-mlogloss:1.16241
[61]	train-mlogloss:1.15845	validation-mlogloss:1.16006
[62]	train-mlogloss:1.15621	validation-mlogloss:1.15800
[63]	train-mlogloss:1.15398	validation-mlogloss:1.15589
[64]	train-mlogloss:1.15185	validation-mlogloss:1.15384
[65]	train-mlogloss:1.14937	validation-mlogloss:1.15144
[66]	train-mlogloss:1.14724	validation-mlogloss:1.14948
[67]	train-mlogloss:1.14515	validation-mlogloss:1.14743
[68]	train-mlogloss:1.14279	validation-mlogloss:1.14514
[69]	train-mlogloss:1.14084	validation-mlogloss:1.14326
[70]	train-mlogloss:1.13893	validation-mlogloss:1.14139
[71]	train-mlogloss:1.13690	validation-mlogloss:1.13937
[72]	train-mlogloss:1.13493	validation-mlogloss:1.13739
[73]	train-mlogloss:1.13277	validation-mlogloss:1.13533
[74]	train-mlogloss:1.13052	validation-mlogloss:1.13306
[75]	train-mlogloss:1.12842	validation-mlogloss:1.13100
[76]	train-mlogloss:1.12654	validation-mlogloss:1.12945
[77]	train-mlogloss:1.12448	validation-mlogloss:1.12746
[78]	train-mlogloss:1.12258	validation-mlogloss:1.12559
[79]	train-mlogloss:1.12079	validation-mlogloss:1.12373
[80]	train-mlogloss:1.11890	validation-mlogloss:1.12183
[81]	train-mlogloss:1.11715	validation-mlogloss:1.12024
[82]	train-mlogloss:1.11537	validation-mlogloss:1.11838
[83]	train-mlogloss:1.11364	validation-mlogloss:1.11663
[84]	train-mlogloss:1.11167	validation-mlogloss:1.11463
[85]	train-mlogloss:1.11000	validation-mlogloss:1.11304
[86]	train-mlogloss:1.10814	validation-mlogloss:1.11117
[87]	train-mlogloss:1.10642	validation-mlogloss:1.10954
[88]	train-mlogloss:1.10480	validation-mlogloss:1.10796
[89]	train-mlogloss:1.10299	validation-mlogloss:1.10620
[90]	train-mlogloss:1.10151	validation-mlogloss:1.10491
[91]	train-mlogloss:1.09999	validation-mlogloss:1.10360
[92]	train-mlogloss:1.09832	validation-mlogloss:1.10199
[93]	train-mlogloss:1.09682	validation-mlogloss:1.10062
[94]	train-mlogloss:1.09530	validation-mlogloss:1.09920
[95]	train-mlogloss:1.09366	validation-mlogloss:1.09759
[96]	train-mlogloss:1.09228	validation-mlogloss:1.09634
[97]	train-mlogloss:1.09083	validation-mlogloss:1.09520
[98]	train-mlogloss:1.08937	validation-mlogloss:1.09376
[99]	train-mlogloss:1.08771	validation-mlogloss:1.09200
[100]	train-mlogloss:1.08630	validation-mlogloss:1.09066
[101]	train-mlogloss:1.08506	validation-mlogloss:1.08957
[102]	train-mlogloss:1.08365	validation-mlogloss:1.08829
[103]	train-mlogloss:1.08222	validation-mlogloss:1.08694
[104]	train-mlogloss:1.08073	validation-mlogloss:1.08558
[105]	train-mlogloss:1.07927	validation-mlogloss:1.08407
[106]	train-mlogloss:1.07792	validation-mlogloss:1.08287
[107]	train-mlogloss:1.07666	validation-mlogloss:1.08174
[108]	train-mlogloss:1.07539	validation-mlogloss:1.08049
[109]	train-mlogloss:1.07397	validation-mlogloss:1.07924
[110]	train-mlogloss:1.07260	validation-mlogloss:1.07782
[111]	train-mlogloss:1.07128	validation-mlogloss:1.07658
[112]	train-mlogloss:1.06992	validation-mlogloss:1.07536
[113]	train-mlogloss:1.06862	validation-mlogloss:1.07409
[114]	train-mlogloss:1.06733	validation-mlogloss:1.07266
[115]	train-mlogloss:1.06608	validation-mlogloss:1.07142
[116]	train-mlogloss:1.06475	validation-mlogloss:1.07034
[117]	train-mlogloss:1.06349	validation-mlogloss:1.06922
[118]	train-mlogloss:1.06225	validation-mlogloss:1.06822
[119]	train-mlogloss:1.06108	validation-mlogloss:1.06703
[120]	train-mlogloss:1.05984	validation-mlogloss:1.06589
[121]	train-mlogloss:1.05877	validation-mlogloss:1.06487
[122]	train-mlogloss:1.05775	validation-mlogloss:1.06411
[123]	train-mlogloss:1.05665	validation-mlogloss:1.06323
[124]	train-mlogloss:1.05557	validation-mlogloss:1.06219
[125]	train-mlogloss:1.05439	validation-mlogloss:1.06119
[126]	train-mlogloss:1.05336	validation-mlogloss:1.06017
[127]	train-mlogloss:1.05211	validation-mlogloss:1.05908
[128]	train-mlogloss:1.05105	validation-mlogloss:1.05798
[129]	train-mlogloss:1.04989	validation-mlogloss:1.05696
[130]	train-mlogloss:1.04877	validation-mlogloss:1.05593
[131]	train-mlogloss:1.04773	validation-mlogloss:1.05506
[132]	train-mlogloss:1.04659	validation-mlogloss:1.05405
[133]	train-mlogloss:1.04563	validation-mlogloss:1.05328
[134]	train-mlogloss:1.04454	validation-mlogloss:1.05216
[135]	train-mlogloss:1.04357	validation-mlogloss:1.05130
[136]	train-mlogloss:1.04265	validation-mlogloss:1.05049
[137]	train-mlogloss:1.04179	validation-mlogloss:1.04963
[138]	train-mlogloss:1.04087	validation-mlogloss:1.04891
[139]	train-mlogloss:1.03980	validation-mlogloss:1.04794
[140]	train-mlogloss:1.03878	validation-mlogloss:1.04688
[141]	train-mlogloss:1.03795	validation-mlogloss:1.04620
[142]	train-mlogloss:1.03698	validation-mlogloss:1.04533
[143]	train-mlogloss:1.03616	validation-mlogloss:1.04466
[144]	train-mlogloss:1.03538	validation-mlogloss:1.04400
[145]	train-mlogloss:1.03439	validation-mlogloss:1.04323
[146]	train-mlogloss:1.03341	validation-mlogloss:1.04229
[147]	train-mlogloss:1.03256	validation-mlogloss:1.04154
[148]	train-mlogloss:1.03177	validation-mlogloss:1.04081
[149]	train-mlogloss:1.03075	validation-mlogloss:1.03972
[150]	train-mlogloss:1.02990	validation-mlogloss:1.03894
[151]	train-mlogloss:1.02912	validation-mlogloss:1.03821
[152]	train-mlogloss:1.02834	validation-mlogloss:1.03763
[153]	train-mlogloss:1.02751	validation-mlogloss:1.03705
[154]	train-mlogloss:1.02670	validation-mlogloss:1.03638
[155]	train-mlogloss:1.02589	validation-mlogloss:1.03570
[156]	train-mlogloss:1.02503	validation-mlogloss:1.03499
[157]	train-mlogloss:1.02427	validation-mlogloss:1.03438
[158]	train-mlogloss:1.02339	validation-mlogloss:1.03366
[159]	train-mlogloss:1.02265	validation-mlogloss:1.03296
[160]	train-mlogloss:1.02180	validation-mlogloss:1.03222
[161]	train-mlogloss:1.02099	validation-mlogloss:1.03177
[162]	train-mlogloss:1.02022	validation-mlogloss:1.03096
[163]	train-mlogloss:1.01955	validation-mlogloss:1.03037
[164]	train-mlogloss:1.01891	validation-mlogloss:1.02991
[165]	train-mlogloss:1.01800	validation-mlogloss:1.02918
[166]	train-mlogloss:1.01735	validation-mlogloss:1.02890
[167]	train-mlogloss:1.01658	validation-mlogloss:1.02825
[168]	train-mlogloss:1.01590	validation-mlogloss:1.02770
[169]	train-mlogloss:1.01527	validation-mlogloss:1.02724
[170]	train-mlogloss:1.01458	validation-mlogloss:1.02655
[171]	train-mlogloss:1.01392	validation-mlogloss:1.02614
[172]	train-mlogloss:1.01330	validation-mlogloss:1.02564
[173]	train-mlogloss:1.01273	validation-mlogloss:1.02539
[174]	train-mlogloss:1.01192	validation-mlogloss:1.02491
[175]	train-mlogloss:1.01117	validation-mlogloss:1.02435
[176]	train-mlogloss:1.01055	validation-mlogloss:1.02400
[177]	train-mlogloss:1.00987	validation-mlogloss:1.02345
[178]	train-mlogloss:1.00936	validation-mlogloss:1.02290
[179]	train-mlogloss:1.00882	validation-mlogloss:1.02254
[180]	train-mlogloss:1.00830	validation-mlogloss:1.02206
[181]	train-mlogloss:1.00774	validation-mlogloss:1.02162
[182]	train-mlogloss:1.00708	validation-mlogloss:1.02113
[183]	train-mlogloss:1.00642	validation-mlogloss:1.02074
[184]	train-mlogloss:1.00569	validation-mlogloss:1.02016
[185]	train-mlogloss:1.00505	validation-mlogloss:1.01971
[186]	train-mlogloss:1.00460	validation-mlogloss:1.01940
[187]	train-mlogloss:1.00397	validation-mlogloss:1.01879
[188]	train-mlogloss:1.00338	validation-mlogloss:1.01846
[189]	train-mlogloss:1.00282	validation-mlogloss:1.01807
[190]	train-mlogloss:1.00230	validation-mlogloss:1.01761
[191]	train-mlogloss:1.00173	validation-mlogloss:1.01728
[192]	train-mlogloss:1.00127	validation-mlogloss:1.01698
[193]	train-mlogloss:1.00076	validation-mlogloss:1.01671
[194]	train-mlogloss:1.00025	validation-mlogloss:1.01626
[195]	train-mlogloss:0.99964	validation-mlogloss:1.01591
[196]	train-mlogloss:0.99911	validation-mlogloss:1.01552
[197]	train-mlogloss:0.99868	validation-mlogloss:1.01535
[198]	train-mlogloss:0.99809	validation-mlogloss:1.01481
[199]	train-mlogloss:0.99752	validation-mlogloss:1.01438
[200]	train-mlogloss:0.99706	validation-mlogloss:1.01397
[201]	train-mlogloss:0.99658	validation-mlogloss:1.01363
[202]	train-mlogloss:0.99604	validation-mlogloss:1.01332
[203]	train-mlogloss:0.99567	validation-mlogloss:1.01304
[204]	train-mlogloss:0.99519	validation-mlogloss:1.01265
[205]	train-mlogloss:0.99467	validation-mlogloss:1.01230
[206]	train-mlogloss:0.99424	validation-mlogloss:1.01208
[207]	train-mlogloss:0.99386	validation-mlogloss:1.01189
[208]	train-mlogloss:0.99349	validation-mlogloss:1.01164
[209]	train-mlogloss:0.99301	validation-mlogloss:1.01134
[210]	train-mlogloss:0.99265	validation-mlogloss:1.01111
[211]	train-mlogloss:0.99229	validation-mlogloss:1.01095
[212]	train-mlogloss:0.99193	validation-mlogloss:1.01074
[213]	train-mlogloss:0.99148	validation-mlogloss:1.01044
[214]	train-mlogloss:0.99108	validation-mlogloss:1.01005
[215]	train-mlogloss:0.99063	validation-mlogloss:1.00973
[216]	train-mlogloss:0.99030	validation-mlogloss:1.00954
[217]	train-mlogloss:0.98990	validation-mlogloss:1.00907
[218]	train-mlogloss:0.98947	validation-mlogloss:1.00876
[219]	train-mlogloss:0.98903	validation-mlogloss:1.00846
[220]	train-mlogloss:0.98857	validation-mlogloss:1.00804
[221]	train-mlogloss:0.98815	validation-mlogloss:1.00770
[222]	train-mlogloss:0.98776	validation-mlogloss:1.00759
[223]	train-mlogloss:0.98732	validation-mlogloss:1.00720
[224]	train-mlogloss:0.98689	validation-mlogloss:1.00694
[225]	train-mlogloss:0.98637	validation-mlogloss:1.00640
[226]	train-mlogloss:0.98598	validation-mlogloss:1.00618
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.42 [%]
Global accuracy score (test) = 61.1 [%]
Global F1 score (train) = 60.28 [%]
Global F1 score (test) = 60.89 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.50      0.40      0.44       400
MODERATE-INTENSITY       0.56      0.73      0.63       400
         SEDENTARY       0.64      0.73      0.68       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.61      1545
         macro avg       0.63      0.61      0.61      1545
      weighted avg       0.62      0.61      0.61      1545


Accuracy capturado en la ejecución 3: 61.1 [%]
F1-score capturado en la ejecución 3: 60.89 [%]

=== EJECUCIÓN 4 ===

--- TRAIN (ejecución 4) ---

--- TEST (ejecución 4) ---
2025-11-07 09:09:59.705135: 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 09:09:59.716467: 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 00:00:1762502999.729460 2300654 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762502999.733472 2300654 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762502999.743247 2300654 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502999.743266 2300654 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502999.743268 2300654 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762502999.743269 2300654 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:09:59.746417: 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:1.38066	validation-mlogloss:1.38067
[1]	train-mlogloss:1.37506	validation-mlogloss:1.37501
[2]	train-mlogloss:1.36965	validation-mlogloss:1.36939
[3]	train-mlogloss:1.36429	validation-mlogloss:1.36392
[4]	train-mlogloss:1.35896	validation-mlogloss:1.35843
[5]	train-mlogloss:1.35361	validation-mlogloss:1.35320
[6]	train-mlogloss:1.34844	validation-mlogloss:1.34813
[7]	train-mlogloss:1.34299	validation-mlogloss:1.34243
[8]	train-mlogloss:1.33826	validation-mlogloss:1.33768
[9]	train-mlogloss:1.33319	validation-mlogloss:1.33245
[10]	train-mlogloss:1.32850	validation-mlogloss:1.32775
[11]	train-mlogloss:1.32391	validation-mlogloss:1.32325
[12]	train-mlogloss:1.31897	validation-mlogloss:1.31819
[13]	train-mlogloss:1.31436	validation-mlogloss:1.31370
[14]	train-mlogloss:1.30977	validation-mlogloss:1.30900
[15]	train-mlogloss:1.30521	validation-mlogloss:1.30435
[16]	train-mlogloss:1.30044	validation-mlogloss:1.29942
[17]	train-mlogloss:1.29587	validation-mlogloss:1.29467
[18]	train-mlogloss:1.29145	validation-mlogloss:1.29026
[19]	train-mlogloss:1.28701	validation-mlogloss:1.28584
[20]	train-mlogloss:1.28282	validation-mlogloss:1.28142
[21]	train-mlogloss:1.27876	validation-mlogloss:1.27737
[22]	train-mlogloss:1.27462	validation-mlogloss:1.27325
[23]	train-mlogloss:1.27063	validation-mlogloss:1.26921
[24]	train-mlogloss:1.26682	validation-mlogloss:1.26533
[25]	train-mlogloss:1.26284	validation-mlogloss:1.26143
[26]	train-mlogloss:1.25896	validation-mlogloss:1.25745
[27]	train-mlogloss:1.25523	validation-mlogloss:1.25372
[28]	train-mlogloss:1.25144	validation-mlogloss:1.25001
[29]	train-mlogloss:1.24783	validation-mlogloss:1.24633
[30]	train-mlogloss:1.24440	validation-mlogloss:1.24278
[31]	train-mlogloss:1.24091	validation-mlogloss:1.23920
[32]	train-mlogloss:1.23756	validation-mlogloss:1.23608
[33]	train-mlogloss:1.23400	validation-mlogloss:1.23240
[34]	train-mlogloss:1.23069	validation-mlogloss:1.22896
[35]	train-mlogloss:1.22747	validation-mlogloss:1.22588
[36]	train-mlogloss:1.22425	validation-mlogloss:1.22271
[37]	train-mlogloss:1.22105	validation-mlogloss:1.21945
[38]	train-mlogloss:1.21787	validation-mlogloss:1.21625
[39]	train-mlogloss:1.21474	validation-mlogloss:1.21296
[40]	train-mlogloss:1.21139	validation-mlogloss:1.20935
[41]	train-mlogloss:1.20818	validation-mlogloss:1.20615
[42]	train-mlogloss:1.20520	validation-mlogloss:1.20322
[43]	train-mlogloss:1.20232	validation-mlogloss:1.20025
[44]	train-mlogloss:1.19945	validation-mlogloss:1.19733
[45]	train-mlogloss:1.19631	validation-mlogloss:1.19423
[46]	train-mlogloss:1.19354	validation-mlogloss:1.19155
[47]	train-mlogloss:1.19082	validation-mlogloss:1.18886
[48]	train-mlogloss:1.18805	validation-mlogloss:1.18620
[49]	train-mlogloss:1.18524	validation-mlogloss:1.18336
[50]	train-mlogloss:1.18228	validation-mlogloss:1.18032
[51]	train-mlogloss:1.17964	validation-mlogloss:1.17775
[52]	train-mlogloss:1.17716	validation-mlogloss:1.17541
[53]	train-mlogloss:1.17444	validation-mlogloss:1.17280
[54]	train-mlogloss:1.17184	validation-mlogloss:1.17020
[55]	train-mlogloss:1.16912	validation-mlogloss:1.16756
[56]	train-mlogloss:1.16678	validation-mlogloss:1.16534
[57]	train-mlogloss:1.16426	validation-mlogloss:1.16264
[58]	train-mlogloss:1.16205	validation-mlogloss:1.16032
[59]	train-mlogloss:1.15973	validation-mlogloss:1.15810
[60]	train-mlogloss:1.15743	validation-mlogloss:1.15571
[61]	train-mlogloss:1.15519	validation-mlogloss:1.15336
[62]	train-mlogloss:1.15300	validation-mlogloss:1.15123
[63]	train-mlogloss:1.15076	validation-mlogloss:1.14895
[64]	train-mlogloss:1.14859	validation-mlogloss:1.14678
[65]	train-mlogloss:1.14641	validation-mlogloss:1.14476
[66]	train-mlogloss:1.14426	validation-mlogloss:1.14285
[67]	train-mlogloss:1.14210	validation-mlogloss:1.14073
[68]	train-mlogloss:1.14002	validation-mlogloss:1.13855
[69]	train-mlogloss:1.13804	validation-mlogloss:1.13671
[70]	train-mlogloss:1.13596	validation-mlogloss:1.13474
[71]	train-mlogloss:1.13400	validation-mlogloss:1.13291
[72]	train-mlogloss:1.13193	validation-mlogloss:1.13090
[73]	train-mlogloss:1.13008	validation-mlogloss:1.12920
[74]	train-mlogloss:1.12820	validation-mlogloss:1.12734
[75]	train-mlogloss:1.12638	validation-mlogloss:1.12579
[76]	train-mlogloss:1.12450	validation-mlogloss:1.12394
[77]	train-mlogloss:1.12271	validation-mlogloss:1.12227
[78]	train-mlogloss:1.12085	validation-mlogloss:1.12063
[79]	train-mlogloss:1.11900	validation-mlogloss:1.11883
[80]	train-mlogloss:1.11688	validation-mlogloss:1.11664
[81]	train-mlogloss:1.11508	validation-mlogloss:1.11509
[82]	train-mlogloss:1.11313	validation-mlogloss:1.11328
[83]	train-mlogloss:1.11148	validation-mlogloss:1.11183
[84]	train-mlogloss:1.10961	validation-mlogloss:1.11006
[85]	train-mlogloss:1.10802	validation-mlogloss:1.10857
[86]	train-mlogloss:1.10614	validation-mlogloss:1.10665
[87]	train-mlogloss:1.10451	validation-mlogloss:1.10511
[88]	train-mlogloss:1.10282	validation-mlogloss:1.10349
[89]	train-mlogloss:1.10103	validation-mlogloss:1.10177
[90]	train-mlogloss:1.09944	validation-mlogloss:1.10001
[91]	train-mlogloss:1.09786	validation-mlogloss:1.09863
[92]	train-mlogloss:1.09633	validation-mlogloss:1.09736
[93]	train-mlogloss:1.09452	validation-mlogloss:1.09565
[94]	train-mlogloss:1.09303	validation-mlogloss:1.09441
[95]	train-mlogloss:1.09132	validation-mlogloss:1.09262
[96]	train-mlogloss:1.08989	validation-mlogloss:1.09136
[97]	train-mlogloss:1.08822	validation-mlogloss:1.08965
[98]	train-mlogloss:1.08682	validation-mlogloss:1.08818
[99]	train-mlogloss:1.08540	validation-mlogloss:1.08685
[100]	train-mlogloss:1.08405	validation-mlogloss:1.08553
[101]	train-mlogloss:1.08251	validation-mlogloss:1.08410
[102]	train-mlogloss:1.08113	validation-mlogloss:1.08270
[103]	train-mlogloss:1.07981	validation-mlogloss:1.08162
[104]	train-mlogloss:1.07848	validation-mlogloss:1.08042
[105]	train-mlogloss:1.07705	validation-mlogloss:1.07901
[106]	train-mlogloss:1.07575	validation-mlogloss:1.07771
[107]	train-mlogloss:1.07449	validation-mlogloss:1.07667
[108]	train-mlogloss:1.07306	validation-mlogloss:1.07518
[109]	train-mlogloss:1.07179	validation-mlogloss:1.07407
[110]	train-mlogloss:1.07055	validation-mlogloss:1.07298
[111]	train-mlogloss:1.06920	validation-mlogloss:1.07166
[112]	train-mlogloss:1.06791	validation-mlogloss:1.07050
[113]	train-mlogloss:1.06669	validation-mlogloss:1.06933
[114]	train-mlogloss:1.06549	validation-mlogloss:1.06828
[115]	train-mlogloss:1.06421	validation-mlogloss:1.06693
[116]	train-mlogloss:1.06295	validation-mlogloss:1.06590
[117]	train-mlogloss:1.06176	validation-mlogloss:1.06480
[118]	train-mlogloss:1.06062	validation-mlogloss:1.06381
[119]	train-mlogloss:1.05941	validation-mlogloss:1.06255
[120]	train-mlogloss:1.05833	validation-mlogloss:1.06154
[121]	train-mlogloss:1.05718	validation-mlogloss:1.06032
[122]	train-mlogloss:1.05608	validation-mlogloss:1.05931
[123]	train-mlogloss:1.05498	validation-mlogloss:1.05832
[124]	train-mlogloss:1.05378	validation-mlogloss:1.05716
[125]	train-mlogloss:1.05274	validation-mlogloss:1.05611
[126]	train-mlogloss:1.05164	validation-mlogloss:1.05503
[127]	train-mlogloss:1.05055	validation-mlogloss:1.05397
[128]	train-mlogloss:1.04949	validation-mlogloss:1.05314
[129]	train-mlogloss:1.04831	validation-mlogloss:1.05205
[130]	train-mlogloss:1.04721	validation-mlogloss:1.05100
[131]	train-mlogloss:1.04622	validation-mlogloss:1.04998
[132]	train-mlogloss:1.04525	validation-mlogloss:1.04925
[133]	train-mlogloss:1.04427	validation-mlogloss:1.04849
[134]	train-mlogloss:1.04311	validation-mlogloss:1.04739
[135]	train-mlogloss:1.04219	validation-mlogloss:1.04664
[136]	train-mlogloss:1.04121	validation-mlogloss:1.04578
[137]	train-mlogloss:1.04019	validation-mlogloss:1.04493
[138]	train-mlogloss:1.03916	validation-mlogloss:1.04404
[139]	train-mlogloss:1.03815	validation-mlogloss:1.04321
[140]	train-mlogloss:1.03733	validation-mlogloss:1.04237
[141]	train-mlogloss:1.03636	validation-mlogloss:1.04156
[142]	train-mlogloss:1.03554	validation-mlogloss:1.04071
[143]	train-mlogloss:1.03461	validation-mlogloss:1.04002
[144]	train-mlogloss:1.03366	validation-mlogloss:1.03905
[145]	train-mlogloss:1.03277	validation-mlogloss:1.03852
[146]	train-mlogloss:1.03183	validation-mlogloss:1.03759
[147]	train-mlogloss:1.03095	validation-mlogloss:1.03693
[148]	train-mlogloss:1.02997	validation-mlogloss:1.03605
[149]	train-mlogloss:1.02904	validation-mlogloss:1.03515
[150]	train-mlogloss:1.02821	validation-mlogloss:1.03448
[151]	train-mlogloss:1.02737	validation-mlogloss:1.03369
[152]	train-mlogloss:1.02655	validation-mlogloss:1.03293
[153]	train-mlogloss:1.02572	validation-mlogloss:1.03230
[154]	train-mlogloss:1.02492	validation-mlogloss:1.03172
[155]	train-mlogloss:1.02412	validation-mlogloss:1.03107
[156]	train-mlogloss:1.02343	validation-mlogloss:1.03055
[157]	train-mlogloss:1.02259	validation-mlogloss:1.02974
[158]	train-mlogloss:1.02183	validation-mlogloss:1.02920
[159]	train-mlogloss:1.02114	validation-mlogloss:1.02846
[160]	train-mlogloss:1.02035	validation-mlogloss:1.02774
[161]	train-mlogloss:1.01947	validation-mlogloss:1.02699
[162]	train-mlogloss:1.01871	validation-mlogloss:1.02636
[163]	train-mlogloss:1.01801	validation-mlogloss:1.02597
[164]	train-mlogloss:1.01724	validation-mlogloss:1.02515
[165]	train-mlogloss:1.01646	validation-mlogloss:1.02443
[166]	train-mlogloss:1.01557	validation-mlogloss:1.02350
[167]	train-mlogloss:1.01496	validation-mlogloss:1.02292
[168]	train-mlogloss:1.01421	validation-mlogloss:1.02227
[169]	train-mlogloss:1.01346	validation-mlogloss:1.02156
[170]	train-mlogloss:1.01278	validation-mlogloss:1.02092
[171]	train-mlogloss:1.01207	validation-mlogloss:1.02008
[172]	train-mlogloss:1.01128	validation-mlogloss:1.01928
[173]	train-mlogloss:1.01048	validation-mlogloss:1.01860
[174]	train-mlogloss:1.00987	validation-mlogloss:1.01831
[175]	train-mlogloss:1.00920	validation-mlogloss:1.01785
[176]	train-mlogloss:1.00858	validation-mlogloss:1.01742
[177]	train-mlogloss:1.00798	validation-mlogloss:1.01689
[178]	train-mlogloss:1.00739	validation-mlogloss:1.01625
[179]	train-mlogloss:1.00671	validation-mlogloss:1.01565
[180]	train-mlogloss:1.00617	validation-mlogloss:1.01536
[181]	train-mlogloss:1.00545	validation-mlogloss:1.01478
[182]	train-mlogloss:1.00494	validation-mlogloss:1.01437
[183]	train-mlogloss:1.00417	validation-mlogloss:1.01372
[184]	train-mlogloss:1.00363	validation-mlogloss:1.01325
[185]	train-mlogloss:1.00307	validation-mlogloss:1.01277
[186]	train-mlogloss:1.00244	validation-mlogloss:1.01224
[187]	train-mlogloss:1.00182	validation-mlogloss:1.01169
[188]	train-mlogloss:1.00126	validation-mlogloss:1.01129
[189]	train-mlogloss:1.00066	validation-mlogloss:1.01074
[190]	train-mlogloss:1.00003	validation-mlogloss:1.01025
[191]	train-mlogloss:0.99945	validation-mlogloss:1.00987
[192]	train-mlogloss:0.99888	validation-mlogloss:1.00929
[193]	train-mlogloss:0.99834	validation-mlogloss:1.00889
[194]	train-mlogloss:0.99773	validation-mlogloss:1.00840
[195]	train-mlogloss:0.99720	validation-mlogloss:1.00794
[196]	train-mlogloss:0.99665	validation-mlogloss:1.00731
[197]	train-mlogloss:0.99606	validation-mlogloss:1.00685
[198]	train-mlogloss:0.99562	validation-mlogloss:1.00660
[199]	train-mlogloss:0.99522	validation-mlogloss:1.00632
[200]	train-mlogloss:0.99478	validation-mlogloss:1.00601
[201]	train-mlogloss:0.99435	validation-mlogloss:1.00573
[202]	train-mlogloss:0.99381	validation-mlogloss:1.00529
[203]	train-mlogloss:0.99327	validation-mlogloss:1.00488
[204]	train-mlogloss:0.99276	validation-mlogloss:1.00449
[205]	train-mlogloss:0.99223	validation-mlogloss:1.00411
[206]	train-mlogloss:0.99177	validation-mlogloss:1.00381
[207]	train-mlogloss:0.99121	validation-mlogloss:1.00339
[208]	train-mlogloss:0.99066	validation-mlogloss:1.00301
[209]	train-mlogloss:0.99012	validation-mlogloss:1.00247
[210]	train-mlogloss:0.98974	validation-mlogloss:1.00221
[211]	train-mlogloss:0.98940	validation-mlogloss:1.00190
[212]	train-mlogloss:0.98897	validation-mlogloss:1.00160
[213]	train-mlogloss:0.98854	validation-mlogloss:1.00125
[214]	train-mlogloss:0.98813	validation-mlogloss:1.00092
[215]	train-mlogloss:0.98762	validation-mlogloss:1.00056
[216]	train-mlogloss:0.98722	validation-mlogloss:1.00049
[217]	train-mlogloss:0.98678	validation-mlogloss:1.00009
[218]	train-mlogloss:0.98636	validation-mlogloss:0.99962
[219]	train-mlogloss:0.98597	validation-mlogloss:0.99938
[220]	train-mlogloss:0.98549	validation-mlogloss:0.99902
[221]	train-mlogloss:0.98505	validation-mlogloss:0.99864
[222]	train-mlogloss:0.98461	validation-mlogloss:0.99817
[223]	train-mlogloss:0.98416	validation-mlogloss:0.99801
[224]	train-mlogloss:0.98369	validation-mlogloss:0.99749
[225]	train-mlogloss:0.98337	validation-mlogloss:0.99717
[226]	train-mlogloss:0.98301	validation-mlogloss:0.99684
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.12 [%]
Global accuracy score (test) = 60.0 [%]
Global F1 score (train) = 60.18 [%]
Global F1 score (test) = 60.09 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.47      0.41      0.44       400
MODERATE-INTENSITY       0.55      0.67      0.60       400
         SEDENTARY       0.64      0.73      0.68       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 4: 60.0 [%]
F1-score capturado en la ejecución 4: 60.09 [%]

=== EJECUCIÓN 5 ===

--- TRAIN (ejecución 5) ---

--- TEST (ejecución 5) ---
2025-11-07 09:10:10.695481: 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 09:10:10.706659: 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 00:00:1762503010.719612 2300928 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503010.723704 2300928 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503010.733519 2300928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503010.733540 2300928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503010.733542 2300928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503010.733543 2300928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:10:10.736876: 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:1.38048	validation-mlogloss:1.38002
[1]	train-mlogloss:1.37487	validation-mlogloss:1.37445
[2]	train-mlogloss:1.36928	validation-mlogloss:1.36855
[3]	train-mlogloss:1.36368	validation-mlogloss:1.36281
[4]	train-mlogloss:1.35835	validation-mlogloss:1.35748
[5]	train-mlogloss:1.35305	validation-mlogloss:1.35215
[6]	train-mlogloss:1.34764	validation-mlogloss:1.34631
[7]	train-mlogloss:1.34261	validation-mlogloss:1.34124
[8]	train-mlogloss:1.33770	validation-mlogloss:1.33665
[9]	train-mlogloss:1.33278	validation-mlogloss:1.33152
[10]	train-mlogloss:1.32780	validation-mlogloss:1.32646
[11]	train-mlogloss:1.32320	validation-mlogloss:1.32186
[12]	train-mlogloss:1.31837	validation-mlogloss:1.31690
[13]	train-mlogloss:1.31380	validation-mlogloss:1.31242
[14]	train-mlogloss:1.30937	validation-mlogloss:1.30782
[15]	train-mlogloss:1.30480	validation-mlogloss:1.30320
[16]	train-mlogloss:1.30028	validation-mlogloss:1.29855
[17]	train-mlogloss:1.29588	validation-mlogloss:1.29401
[18]	train-mlogloss:1.29197	validation-mlogloss:1.29005
[19]	train-mlogloss:1.28764	validation-mlogloss:1.28558
[20]	train-mlogloss:1.28345	validation-mlogloss:1.28131
[21]	train-mlogloss:1.27892	validation-mlogloss:1.27649
[22]	train-mlogloss:1.27472	validation-mlogloss:1.27216
[23]	train-mlogloss:1.27077	validation-mlogloss:1.26825
[24]	train-mlogloss:1.26694	validation-mlogloss:1.26454
[25]	train-mlogloss:1.26309	validation-mlogloss:1.26074
[26]	train-mlogloss:1.25904	validation-mlogloss:1.25632
[27]	train-mlogloss:1.25514	validation-mlogloss:1.25228
[28]	train-mlogloss:1.25140	validation-mlogloss:1.24829
[29]	train-mlogloss:1.24778	validation-mlogloss:1.24477
[30]	train-mlogloss:1.24430	validation-mlogloss:1.24147
[31]	train-mlogloss:1.24106	validation-mlogloss:1.23823
[32]	train-mlogloss:1.23769	validation-mlogloss:1.23489
[33]	train-mlogloss:1.23393	validation-mlogloss:1.23117
[34]	train-mlogloss:1.23034	validation-mlogloss:1.22755
[35]	train-mlogloss:1.22692	validation-mlogloss:1.22429
[36]	train-mlogloss:1.22373	validation-mlogloss:1.22116
[37]	train-mlogloss:1.22042	validation-mlogloss:1.21771
[38]	train-mlogloss:1.21723	validation-mlogloss:1.21451
[39]	train-mlogloss:1.21406	validation-mlogloss:1.21138
[40]	train-mlogloss:1.21091	validation-mlogloss:1.20829
[41]	train-mlogloss:1.20772	validation-mlogloss:1.20494
[42]	train-mlogloss:1.20473	validation-mlogloss:1.20218
[43]	train-mlogloss:1.20175	validation-mlogloss:1.19915
[44]	train-mlogloss:1.19867	validation-mlogloss:1.19594
[45]	train-mlogloss:1.19553	validation-mlogloss:1.19272
[46]	train-mlogloss:1.19270	validation-mlogloss:1.18992
[47]	train-mlogloss:1.18992	validation-mlogloss:1.18754
[48]	train-mlogloss:1.18683	validation-mlogloss:1.18425
[49]	train-mlogloss:1.18391	validation-mlogloss:1.18109
[50]	train-mlogloss:1.18117	validation-mlogloss:1.17814
[51]	train-mlogloss:1.17848	validation-mlogloss:1.17560
[52]	train-mlogloss:1.17560	validation-mlogloss:1.17271
[53]	train-mlogloss:1.17308	validation-mlogloss:1.17031
[54]	train-mlogloss:1.17050	validation-mlogloss:1.16763
[55]	train-mlogloss:1.16803	validation-mlogloss:1.16521
[56]	train-mlogloss:1.16530	validation-mlogloss:1.16250
[57]	train-mlogloss:1.16283	validation-mlogloss:1.16016
[58]	train-mlogloss:1.16048	validation-mlogloss:1.15793
[59]	train-mlogloss:1.15795	validation-mlogloss:1.15520
[60]	train-mlogloss:1.15572	validation-mlogloss:1.15316
[61]	train-mlogloss:1.15317	validation-mlogloss:1.15063
[62]	train-mlogloss:1.15075	validation-mlogloss:1.14821
[63]	train-mlogloss:1.14855	validation-mlogloss:1.14625
[64]	train-mlogloss:1.14630	validation-mlogloss:1.14412
[65]	train-mlogloss:1.14399	validation-mlogloss:1.14183
[66]	train-mlogloss:1.14192	validation-mlogloss:1.13982
[67]	train-mlogloss:1.13989	validation-mlogloss:1.13780
[68]	train-mlogloss:1.13774	validation-mlogloss:1.13556
[69]	train-mlogloss:1.13571	validation-mlogloss:1.13362
[70]	train-mlogloss:1.13356	validation-mlogloss:1.13135
[71]	train-mlogloss:1.13167	validation-mlogloss:1.12952
[72]	train-mlogloss:1.12969	validation-mlogloss:1.12744
[73]	train-mlogloss:1.12766	validation-mlogloss:1.12549
[74]	train-mlogloss:1.12563	validation-mlogloss:1.12330
[75]	train-mlogloss:1.12364	validation-mlogloss:1.12123
[76]	train-mlogloss:1.12152	validation-mlogloss:1.11898
[77]	train-mlogloss:1.11971	validation-mlogloss:1.11722
[78]	train-mlogloss:1.11766	validation-mlogloss:1.11501
[79]	train-mlogloss:1.11581	validation-mlogloss:1.11308
[80]	train-mlogloss:1.11400	validation-mlogloss:1.11132
[81]	train-mlogloss:1.11224	validation-mlogloss:1.10971
[82]	train-mlogloss:1.11040	validation-mlogloss:1.10796
[83]	train-mlogloss:1.10879	validation-mlogloss:1.10628
[84]	train-mlogloss:1.10700	validation-mlogloss:1.10461
[85]	train-mlogloss:1.10529	validation-mlogloss:1.10299
[86]	train-mlogloss:1.10354	validation-mlogloss:1.10126
[87]	train-mlogloss:1.10190	validation-mlogloss:1.09990
[88]	train-mlogloss:1.10031	validation-mlogloss:1.09847
[89]	train-mlogloss:1.09852	validation-mlogloss:1.09674
[90]	train-mlogloss:1.09671	validation-mlogloss:1.09505
[91]	train-mlogloss:1.09512	validation-mlogloss:1.09341
[92]	train-mlogloss:1.09346	validation-mlogloss:1.09195
[93]	train-mlogloss:1.09187	validation-mlogloss:1.09046
[94]	train-mlogloss:1.09024	validation-mlogloss:1.08885
[95]	train-mlogloss:1.08873	validation-mlogloss:1.08755
[96]	train-mlogloss:1.08722	validation-mlogloss:1.08623
[97]	train-mlogloss:1.08567	validation-mlogloss:1.08458
[98]	train-mlogloss:1.08438	validation-mlogloss:1.08362
[99]	train-mlogloss:1.08299	validation-mlogloss:1.08242
[100]	train-mlogloss:1.08155	validation-mlogloss:1.08109
[101]	train-mlogloss:1.08009	validation-mlogloss:1.07966
[102]	train-mlogloss:1.07872	validation-mlogloss:1.07857
[103]	train-mlogloss:1.07738	validation-mlogloss:1.07738
[104]	train-mlogloss:1.07588	validation-mlogloss:1.07573
[105]	train-mlogloss:1.07440	validation-mlogloss:1.07415
[106]	train-mlogloss:1.07294	validation-mlogloss:1.07274
[107]	train-mlogloss:1.07143	validation-mlogloss:1.07130
[108]	train-mlogloss:1.07008	validation-mlogloss:1.06999
[109]	train-mlogloss:1.06873	validation-mlogloss:1.06871
[110]	train-mlogloss:1.06743	validation-mlogloss:1.06757
[111]	train-mlogloss:1.06613	validation-mlogloss:1.06641
[112]	train-mlogloss:1.06489	validation-mlogloss:1.06526
[113]	train-mlogloss:1.06362	validation-mlogloss:1.06391
[114]	train-mlogloss:1.06237	validation-mlogloss:1.06263
[115]	train-mlogloss:1.06114	validation-mlogloss:1.06131
[116]	train-mlogloss:1.05990	validation-mlogloss:1.06019
[117]	train-mlogloss:1.05853	validation-mlogloss:1.05900
[118]	train-mlogloss:1.05723	validation-mlogloss:1.05772
[119]	train-mlogloss:1.05596	validation-mlogloss:1.05641
[120]	train-mlogloss:1.05483	validation-mlogloss:1.05522
[121]	train-mlogloss:1.05359	validation-mlogloss:1.05402
[122]	train-mlogloss:1.05246	validation-mlogloss:1.05298
[123]	train-mlogloss:1.05135	validation-mlogloss:1.05192
[124]	train-mlogloss:1.05024	validation-mlogloss:1.05062
[125]	train-mlogloss:1.04910	validation-mlogloss:1.04961
[126]	train-mlogloss:1.04801	validation-mlogloss:1.04870
[127]	train-mlogloss:1.04709	validation-mlogloss:1.04789
[128]	train-mlogloss:1.04587	validation-mlogloss:1.04655
[129]	train-mlogloss:1.04473	validation-mlogloss:1.04555
[130]	train-mlogloss:1.04361	validation-mlogloss:1.04445
[131]	train-mlogloss:1.04248	validation-mlogloss:1.04342
[132]	train-mlogloss:1.04142	validation-mlogloss:1.04228
[133]	train-mlogloss:1.04038	validation-mlogloss:1.04135
[134]	train-mlogloss:1.03944	validation-mlogloss:1.04049
[135]	train-mlogloss:1.03846	validation-mlogloss:1.03957
[136]	train-mlogloss:1.03749	validation-mlogloss:1.03893
[137]	train-mlogloss:1.03642	validation-mlogloss:1.03784
[138]	train-mlogloss:1.03541	validation-mlogloss:1.03695
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[141]	train-mlogloss:1.03261	validation-mlogloss:1.03431
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[149]	train-mlogloss:1.02515	validation-mlogloss:1.02747
[150]	train-mlogloss:1.02433	validation-mlogloss:1.02667
[151]	train-mlogloss:1.02334	validation-mlogloss:1.02570
[152]	train-mlogloss:1.02240	validation-mlogloss:1.02493
[153]	train-mlogloss:1.02162	validation-mlogloss:1.02419
[154]	train-mlogloss:1.02078	validation-mlogloss:1.02336
[155]	train-mlogloss:1.01987	validation-mlogloss:1.02248
[156]	train-mlogloss:1.01908	validation-mlogloss:1.02175
[157]	train-mlogloss:1.01835	validation-mlogloss:1.02108
[158]	train-mlogloss:1.01750	validation-mlogloss:1.02027
[159]	train-mlogloss:1.01673	validation-mlogloss:1.01967
[160]	train-mlogloss:1.01597	validation-mlogloss:1.01909
[161]	train-mlogloss:1.01521	validation-mlogloss:1.01849
[162]	train-mlogloss:1.01447	validation-mlogloss:1.01777
[163]	train-mlogloss:1.01360	validation-mlogloss:1.01710
[164]	train-mlogloss:1.01299	validation-mlogloss:1.01658
[165]	train-mlogloss:1.01225	validation-mlogloss:1.01587
[166]	train-mlogloss:1.01143	validation-mlogloss:1.01501
[167]	train-mlogloss:1.01071	validation-mlogloss:1.01453
[168]	train-mlogloss:1.00997	validation-mlogloss:1.01392
[169]	train-mlogloss:1.00934	validation-mlogloss:1.01327
[170]	train-mlogloss:1.00865	validation-mlogloss:1.01277
[171]	train-mlogloss:1.00797	validation-mlogloss:1.01206
[172]	train-mlogloss:1.00731	validation-mlogloss:1.01149
[173]	train-mlogloss:1.00659	validation-mlogloss:1.01102
[174]	train-mlogloss:1.00586	validation-mlogloss:1.01043
[175]	train-mlogloss:1.00516	validation-mlogloss:1.00992
[176]	train-mlogloss:1.00444	validation-mlogloss:1.00932
[177]	train-mlogloss:1.00381	validation-mlogloss:1.00884
[178]	train-mlogloss:1.00325	validation-mlogloss:1.00849
[179]	train-mlogloss:1.00252	validation-mlogloss:1.00783
[180]	train-mlogloss:1.00191	validation-mlogloss:1.00755
[181]	train-mlogloss:1.00121	validation-mlogloss:1.00695
[182]	train-mlogloss:1.00068	validation-mlogloss:1.00639
[183]	train-mlogloss:1.00007	validation-mlogloss:1.00574
[184]	train-mlogloss:0.99940	validation-mlogloss:1.00515
[185]	train-mlogloss:0.99892	validation-mlogloss:1.00482
[186]	train-mlogloss:0.99833	validation-mlogloss:1.00418
[187]	train-mlogloss:0.99776	validation-mlogloss:1.00389
[188]	train-mlogloss:0.99699	validation-mlogloss:1.00335
[189]	train-mlogloss:0.99630	validation-mlogloss:1.00279
[190]	train-mlogloss:0.99575	validation-mlogloss:1.00241
[191]	train-mlogloss:0.99528	validation-mlogloss:1.00191
[192]	train-mlogloss:0.99473	validation-mlogloss:1.00154
[193]	train-mlogloss:0.99416	validation-mlogloss:1.00128
[194]	train-mlogloss:0.99353	validation-mlogloss:1.00073
[195]	train-mlogloss:0.99299	validation-mlogloss:1.00034
[196]	train-mlogloss:0.99251	validation-mlogloss:0.99981
[197]	train-mlogloss:0.99191	validation-mlogloss:0.99921
[198]	train-mlogloss:0.99138	validation-mlogloss:0.99900
[199]	train-mlogloss:0.99082	validation-mlogloss:0.99849
[200]	train-mlogloss:0.99027	validation-mlogloss:0.99800
[201]	train-mlogloss:0.98981	validation-mlogloss:0.99761
[202]	train-mlogloss:0.98936	validation-mlogloss:0.99732
[203]	train-mlogloss:0.98891	validation-mlogloss:0.99703
[204]	train-mlogloss:0.98835	validation-mlogloss:0.99664
[205]	train-mlogloss:0.98789	validation-mlogloss:0.99632
[206]	train-mlogloss:0.98730	validation-mlogloss:0.99582
[207]	train-mlogloss:0.98689	validation-mlogloss:0.99562
[208]	train-mlogloss:0.98642	validation-mlogloss:0.99526
[209]	train-mlogloss:0.98600	validation-mlogloss:0.99505
[210]	train-mlogloss:0.98549	validation-mlogloss:0.99465
[211]	train-mlogloss:0.98509	validation-mlogloss:0.99432
[212]	train-mlogloss:0.98465	validation-mlogloss:0.99412
[213]	train-mlogloss:0.98428	validation-mlogloss:0.99380
[214]	train-mlogloss:0.98390	validation-mlogloss:0.99352
[215]	train-mlogloss:0.98339	validation-mlogloss:0.99304
[216]	train-mlogloss:0.98294	validation-mlogloss:0.99270
[217]	train-mlogloss:0.98258	validation-mlogloss:0.99264
[218]	train-mlogloss:0.98220	validation-mlogloss:0.99254
[219]	train-mlogloss:0.98177	validation-mlogloss:0.99219
[220]	train-mlogloss:0.98147	validation-mlogloss:0.99198
[221]	train-mlogloss:0.98108	validation-mlogloss:0.99182
[222]	train-mlogloss:0.98075	validation-mlogloss:0.99163
[223]	train-mlogloss:0.98040	validation-mlogloss:0.99150
[224]	train-mlogloss:0.97993	validation-mlogloss:0.99118
[225]	train-mlogloss:0.97954	validation-mlogloss:0.99093
[226]	train-mlogloss:0.97921	validation-mlogloss:0.99088
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.22 [%]
Global accuracy score (test) = 60.13 [%]
Global F1 score (train) = 60.01 [%]
Global F1 score (test) = 59.95 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.46      0.38      0.41       400
MODERATE-INTENSITY       0.55      0.70      0.62       400
         SEDENTARY       0.66      0.73      0.69       400
VIGOROUS-INTENSITY       0.78      0.60      0.68       345

          accuracy                           0.60      1545
         macro avg       0.61      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 5: 60.13 [%]
F1-score capturado en la ejecución 5: 59.95 [%]

=== EJECUCIÓN 6 ===

--- TRAIN (ejecución 6) ---

--- TEST (ejecución 6) ---
2025-11-07 09:10:21.642876: 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 09:10:21.653962: 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 00:00:1762503021.666808 2301176 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503021.670740 2301176 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503021.680578 2301176 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503021.680596 2301176 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503021.680598 2301176 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503021.680600 2301176 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:10:21.683559: 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:1.38059	validation-mlogloss:1.38034
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[5]	train-mlogloss:1.35328	validation-mlogloss:1.35250
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[10]	train-mlogloss:1.32798	validation-mlogloss:1.32624
[11]	train-mlogloss:1.32320	validation-mlogloss:1.32154
[12]	train-mlogloss:1.31841	validation-mlogloss:1.31663
[13]	train-mlogloss:1.31384	validation-mlogloss:1.31200
[14]	train-mlogloss:1.30917	validation-mlogloss:1.30729
[15]	train-mlogloss:1.30456	validation-mlogloss:1.30248
[16]	train-mlogloss:1.30024	validation-mlogloss:1.29818
[17]	train-mlogloss:1.29595	validation-mlogloss:1.29396
[18]	train-mlogloss:1.29160	validation-mlogloss:1.28960
[19]	train-mlogloss:1.28744	validation-mlogloss:1.28536
[20]	train-mlogloss:1.28330	validation-mlogloss:1.28102
[21]	train-mlogloss:1.27913	validation-mlogloss:1.27667
[22]	train-mlogloss:1.27514	validation-mlogloss:1.27276
[23]	train-mlogloss:1.27088	validation-mlogloss:1.26846
[24]	train-mlogloss:1.26661	validation-mlogloss:1.26410
[25]	train-mlogloss:1.26289	validation-mlogloss:1.26018
[26]	train-mlogloss:1.25913	validation-mlogloss:1.25647
[27]	train-mlogloss:1.25544	validation-mlogloss:1.25280
[28]	train-mlogloss:1.25175	validation-mlogloss:1.24891
[29]	train-mlogloss:1.24812	validation-mlogloss:1.24517
[30]	train-mlogloss:1.24443	validation-mlogloss:1.24166
[31]	train-mlogloss:1.24089	validation-mlogloss:1.23802
[32]	train-mlogloss:1.23748	validation-mlogloss:1.23475
[33]	train-mlogloss:1.23411	validation-mlogloss:1.23156
[34]	train-mlogloss:1.23084	validation-mlogloss:1.22854
[35]	train-mlogloss:1.22755	validation-mlogloss:1.22520
[36]	train-mlogloss:1.22430	validation-mlogloss:1.22187
[37]	train-mlogloss:1.22096	validation-mlogloss:1.21845
[38]	train-mlogloss:1.21744	validation-mlogloss:1.21468
[39]	train-mlogloss:1.21430	validation-mlogloss:1.21169
[40]	train-mlogloss:1.21123	validation-mlogloss:1.20857
[41]	train-mlogloss:1.20812	validation-mlogloss:1.20546
[42]	train-mlogloss:1.20522	validation-mlogloss:1.20250
[43]	train-mlogloss:1.20231	validation-mlogloss:1.19934
[44]	train-mlogloss:1.19946	validation-mlogloss:1.19665
[45]	train-mlogloss:1.19636	validation-mlogloss:1.19353
[46]	train-mlogloss:1.19320	validation-mlogloss:1.19037
[47]	train-mlogloss:1.19038	validation-mlogloss:1.18746
[48]	train-mlogloss:1.18767	validation-mlogloss:1.18461
[49]	train-mlogloss:1.18472	validation-mlogloss:1.18154
[50]	train-mlogloss:1.18204	validation-mlogloss:1.17880
[51]	train-mlogloss:1.17936	validation-mlogloss:1.17620
[52]	train-mlogloss:1.17668	validation-mlogloss:1.17379
[53]	train-mlogloss:1.17415	validation-mlogloss:1.17094
[54]	train-mlogloss:1.17164	validation-mlogloss:1.16862
[55]	train-mlogloss:1.16914	validation-mlogloss:1.16608
[56]	train-mlogloss:1.16665	validation-mlogloss:1.16366
[57]	train-mlogloss:1.16417	validation-mlogloss:1.16118
[58]	train-mlogloss:1.16151	validation-mlogloss:1.15856
[59]	train-mlogloss:1.15908	validation-mlogloss:1.15636
[60]	train-mlogloss:1.15641	validation-mlogloss:1.15361
[61]	train-mlogloss:1.15383	validation-mlogloss:1.15094
[62]	train-mlogloss:1.15144	validation-mlogloss:1.14849
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[64]	train-mlogloss:1.14690	validation-mlogloss:1.14420
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[68]	train-mlogloss:1.13828	validation-mlogloss:1.13571
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[70]	train-mlogloss:1.13394	validation-mlogloss:1.13141
[71]	train-mlogloss:1.13165	validation-mlogloss:1.12901
[72]	train-mlogloss:1.12959	validation-mlogloss:1.12694
[73]	train-mlogloss:1.12749	validation-mlogloss:1.12489
[74]	train-mlogloss:1.12550	validation-mlogloss:1.12291
[75]	train-mlogloss:1.12361	validation-mlogloss:1.12103
[76]	train-mlogloss:1.12151	validation-mlogloss:1.11883
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[109]	train-mlogloss:1.06823	validation-mlogloss:1.06588
[110]	train-mlogloss:1.06698	validation-mlogloss:1.06462
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[112]	train-mlogloss:1.06437	validation-mlogloss:1.06199
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[114]	train-mlogloss:1.06166	validation-mlogloss:1.05926
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[118]	train-mlogloss:1.05690	validation-mlogloss:1.05487
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[123]	train-mlogloss:1.05105	validation-mlogloss:1.04923
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[126]	train-mlogloss:1.04749	validation-mlogloss:1.04576
[127]	train-mlogloss:1.04642	validation-mlogloss:1.04457
[128]	train-mlogloss:1.04517	validation-mlogloss:1.04319
[129]	train-mlogloss:1.04414	validation-mlogloss:1.04234
[130]	train-mlogloss:1.04298	validation-mlogloss:1.04129
[131]	train-mlogloss:1.04195	validation-mlogloss:1.04030
[132]	train-mlogloss:1.04088	validation-mlogloss:1.03929
[133]	train-mlogloss:1.03985	validation-mlogloss:1.03842
[134]	train-mlogloss:1.03883	validation-mlogloss:1.03771
[135]	train-mlogloss:1.03791	validation-mlogloss:1.03698
[136]	train-mlogloss:1.03691	validation-mlogloss:1.03601
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[150]	train-mlogloss:1.02390	validation-mlogloss:1.02441
[151]	train-mlogloss:1.02301	validation-mlogloss:1.02371
[152]	train-mlogloss:1.02226	validation-mlogloss:1.02299
[153]	train-mlogloss:1.02136	validation-mlogloss:1.02207
[154]	train-mlogloss:1.02050	validation-mlogloss:1.02136
[155]	train-mlogloss:1.01970	validation-mlogloss:1.02060
[156]	train-mlogloss:1.01896	validation-mlogloss:1.02012
[157]	train-mlogloss:1.01821	validation-mlogloss:1.01940
[158]	train-mlogloss:1.01734	validation-mlogloss:1.01885
[159]	train-mlogloss:1.01653	validation-mlogloss:1.01821
[160]	train-mlogloss:1.01570	validation-mlogloss:1.01750
[161]	train-mlogloss:1.01497	validation-mlogloss:1.01678
[162]	train-mlogloss:1.01417	validation-mlogloss:1.01628
[163]	train-mlogloss:1.01349	validation-mlogloss:1.01566
[164]	train-mlogloss:1.01280	validation-mlogloss:1.01522
[165]	train-mlogloss:1.01199	validation-mlogloss:1.01447
[166]	train-mlogloss:1.01126	validation-mlogloss:1.01377
[167]	train-mlogloss:1.01062	validation-mlogloss:1.01325
[168]	train-mlogloss:1.00994	validation-mlogloss:1.01276
[169]	train-mlogloss:1.00927	validation-mlogloss:1.01224
[170]	train-mlogloss:1.00856	validation-mlogloss:1.01154
[171]	train-mlogloss:1.00786	validation-mlogloss:1.01093
[172]	train-mlogloss:1.00716	validation-mlogloss:1.01038
[173]	train-mlogloss:1.00642	validation-mlogloss:1.00976
[174]	train-mlogloss:1.00581	validation-mlogloss:1.00911
[175]	train-mlogloss:1.00502	validation-mlogloss:1.00854
[176]	train-mlogloss:1.00446	validation-mlogloss:1.00802
[177]	train-mlogloss:1.00388	validation-mlogloss:1.00761
[178]	train-mlogloss:1.00332	validation-mlogloss:1.00724
[179]	train-mlogloss:1.00271	validation-mlogloss:1.00670
[180]	train-mlogloss:1.00213	validation-mlogloss:1.00619
[181]	train-mlogloss:1.00155	validation-mlogloss:1.00559
[182]	train-mlogloss:1.00095	validation-mlogloss:1.00500
[183]	train-mlogloss:1.00038	validation-mlogloss:1.00446
[184]	train-mlogloss:0.99973	validation-mlogloss:1.00413
[185]	train-mlogloss:0.99922	validation-mlogloss:1.00379
[186]	train-mlogloss:0.99863	validation-mlogloss:1.00335
[187]	train-mlogloss:0.99811	validation-mlogloss:1.00308
[188]	train-mlogloss:0.99745	validation-mlogloss:1.00257
[189]	train-mlogloss:0.99691	validation-mlogloss:1.00211
[190]	train-mlogloss:0.99637	validation-mlogloss:1.00174
[191]	train-mlogloss:0.99586	validation-mlogloss:1.00117
[192]	train-mlogloss:0.99531	validation-mlogloss:1.00058
[193]	train-mlogloss:0.99478	validation-mlogloss:1.00022
[194]	train-mlogloss:0.99426	validation-mlogloss:0.99977
[195]	train-mlogloss:0.99361	validation-mlogloss:0.99924
[196]	train-mlogloss:0.99311	validation-mlogloss:0.99875
[197]	train-mlogloss:0.99248	validation-mlogloss:0.99823
[198]	train-mlogloss:0.99192	validation-mlogloss:0.99791
[199]	train-mlogloss:0.99134	validation-mlogloss:0.99742
[200]	train-mlogloss:0.99072	validation-mlogloss:0.99683
[201]	train-mlogloss:0.99031	validation-mlogloss:0.99650
[202]	train-mlogloss:0.98984	validation-mlogloss:0.99626
[203]	train-mlogloss:0.98932	validation-mlogloss:0.99577
[204]	train-mlogloss:0.98887	validation-mlogloss:0.99543
[205]	train-mlogloss:0.98842	validation-mlogloss:0.99507
[206]	train-mlogloss:0.98801	validation-mlogloss:0.99485
[207]	train-mlogloss:0.98759	validation-mlogloss:0.99456
[208]	train-mlogloss:0.98716	validation-mlogloss:0.99420
[209]	train-mlogloss:0.98662	validation-mlogloss:0.99373
[210]	train-mlogloss:0.98624	validation-mlogloss:0.99348
[211]	train-mlogloss:0.98580	validation-mlogloss:0.99322
[212]	train-mlogloss:0.98544	validation-mlogloss:0.99298
[213]	train-mlogloss:0.98493	validation-mlogloss:0.99261
[214]	train-mlogloss:0.98455	validation-mlogloss:0.99230
[215]	train-mlogloss:0.98406	validation-mlogloss:0.99193
[216]	train-mlogloss:0.98365	validation-mlogloss:0.99153
[217]	train-mlogloss:0.98308	validation-mlogloss:0.99106
[218]	train-mlogloss:0.98264	validation-mlogloss:0.99086
[219]	train-mlogloss:0.98220	validation-mlogloss:0.99071
[220]	train-mlogloss:0.98182	validation-mlogloss:0.99039
[221]	train-mlogloss:0.98141	validation-mlogloss:0.99010
[222]	train-mlogloss:0.98096	validation-mlogloss:0.98955
[223]	train-mlogloss:0.98048	validation-mlogloss:0.98912
[224]	train-mlogloss:0.98006	validation-mlogloss:0.98886
[225]	train-mlogloss:0.97962	validation-mlogloss:0.98842
[226]	train-mlogloss:0.97919	validation-mlogloss:0.98801
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 0 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.11 [%]
Global accuracy score (test) = 56.96 [%]
Global F1 score (train) = 60.08 [%]
Global F1 score (test) = 57.42 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.41      0.38      0.40       400
MODERATE-INTENSITY       0.51      0.64      0.57       400
         SEDENTARY       0.63      0.68      0.65       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.57      1545
         macro avg       0.59      0.57      0.57      1545
      weighted avg       0.58      0.57      0.57      1545


Accuracy capturado en la ejecución 6: 56.96 [%]
F1-score capturado en la ejecución 6: 57.42 [%]

=== EJECUCIÓN 7 ===

--- TRAIN (ejecución 7) ---

--- TEST (ejecución 7) ---
2025-11-07 09:10:32.596468: 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 09:10:32.607612: 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 00:00:1762503032.620524 2301423 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503032.624653 2301423 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503032.634462 2301423 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503032.634481 2301423 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503032.634483 2301423 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503032.634490 2301423 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:10:32.637570: 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:1.38037	validation-mlogloss:1.37995
[1]	train-mlogloss:1.37452	validation-mlogloss:1.37398
[2]	train-mlogloss:1.36902	validation-mlogloss:1.36830
[3]	train-mlogloss:1.36360	validation-mlogloss:1.36271
[4]	train-mlogloss:1.35805	validation-mlogloss:1.35691
[5]	train-mlogloss:1.35254	validation-mlogloss:1.35126
[6]	train-mlogloss:1.34738	validation-mlogloss:1.34611
[7]	train-mlogloss:1.34235	validation-mlogloss:1.34108
[8]	train-mlogloss:1.33748	validation-mlogloss:1.33622
[9]	train-mlogloss:1.33228	validation-mlogloss:1.33095
[10]	train-mlogloss:1.32727	validation-mlogloss:1.32574
[11]	train-mlogloss:1.32242	validation-mlogloss:1.32095
[12]	train-mlogloss:1.31773	validation-mlogloss:1.31635
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[154]	train-mlogloss:1.02093	validation-mlogloss:1.02976
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[156]	train-mlogloss:1.01933	validation-mlogloss:1.02832
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[176]	train-mlogloss:1.00417	validation-mlogloss:1.01549
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[180]	train-mlogloss:1.00162	validation-mlogloss:1.01335
[181]	train-mlogloss:1.00100	validation-mlogloss:1.01285
[182]	train-mlogloss:1.00046	validation-mlogloss:1.01251
[183]	train-mlogloss:0.99990	validation-mlogloss:1.01201
[184]	train-mlogloss:0.99930	validation-mlogloss:1.01142
[185]	train-mlogloss:0.99855	validation-mlogloss:1.01078
[186]	train-mlogloss:0.99787	validation-mlogloss:1.01012
[187]	train-mlogloss:0.99731	validation-mlogloss:1.00959
[188]	train-mlogloss:0.99667	validation-mlogloss:1.00911
[189]	train-mlogloss:0.99616	validation-mlogloss:1.00874
[190]	train-mlogloss:0.99554	validation-mlogloss:1.00824
[191]	train-mlogloss:0.99487	validation-mlogloss:1.00763
[192]	train-mlogloss:0.99442	validation-mlogloss:1.00730
[193]	train-mlogloss:0.99386	validation-mlogloss:1.00681
[194]	train-mlogloss:0.99343	validation-mlogloss:1.00643
[195]	train-mlogloss:0.99286	validation-mlogloss:1.00582
[196]	train-mlogloss:0.99236	validation-mlogloss:1.00539
[197]	train-mlogloss:0.99187	validation-mlogloss:1.00506
[198]	train-mlogloss:0.99140	validation-mlogloss:1.00470
[199]	train-mlogloss:0.99084	validation-mlogloss:1.00427
[200]	train-mlogloss:0.99037	validation-mlogloss:1.00386
[201]	train-mlogloss:0.98996	validation-mlogloss:1.00354
[202]	train-mlogloss:0.98953	validation-mlogloss:1.00324
[203]	train-mlogloss:0.98910	validation-mlogloss:1.00293
[204]	train-mlogloss:0.98845	validation-mlogloss:1.00236
[205]	train-mlogloss:0.98793	validation-mlogloss:1.00191
[206]	train-mlogloss:0.98724	validation-mlogloss:1.00144
[207]	train-mlogloss:0.98680	validation-mlogloss:1.00099
[208]	train-mlogloss:0.98631	validation-mlogloss:1.00053
[209]	train-mlogloss:0.98583	validation-mlogloss:1.00005
[210]	train-mlogloss:0.98536	validation-mlogloss:0.99957
[211]	train-mlogloss:0.98490	validation-mlogloss:0.99936
[212]	train-mlogloss:0.98447	validation-mlogloss:0.99897
[213]	train-mlogloss:0.98408	validation-mlogloss:0.99861
[214]	train-mlogloss:0.98361	validation-mlogloss:0.99832
[215]	train-mlogloss:0.98315	validation-mlogloss:0.99817
[216]	train-mlogloss:0.98265	validation-mlogloss:0.99791
[217]	train-mlogloss:0.98234	validation-mlogloss:0.99770
[218]	train-mlogloss:0.98183	validation-mlogloss:0.99730
[219]	train-mlogloss:0.98143	validation-mlogloss:0.99687
[220]	train-mlogloss:0.98104	validation-mlogloss:0.99661
[221]	train-mlogloss:0.98069	validation-mlogloss:0.99629
[222]	train-mlogloss:0.98032	validation-mlogloss:0.99604
[223]	train-mlogloss:0.97991	validation-mlogloss:0.99576
[224]	train-mlogloss:0.97945	validation-mlogloss:0.99528
[225]	train-mlogloss:0.97902	validation-mlogloss:0.99494
[226]	train-mlogloss:0.97861	validation-mlogloss:0.99478
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.58 [%]
Global accuracy score (test) = 59.09 [%]
Global F1 score (train) = 60.6 [%]
Global F1 score (test) = 59.61 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.44      0.45      0.44       400
MODERATE-INTENSITY       0.54      0.64      0.59       400
         SEDENTARY       0.65      0.69      0.67       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.61      0.59      0.60      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 7: 59.09 [%]
F1-score capturado en la ejecución 7: 59.61 [%]

=== EJECUCIÓN 8 ===

--- TRAIN (ejecución 8) ---

--- TEST (ejecución 8) ---
2025-11-07 09:10:43.775813: 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 09:10:43.787016: 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 00:00:1762503043.799972 2301670 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503043.803987 2301670 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503043.813834 2301670 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503043.813855 2301670 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503043.813857 2301670 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503043.813859 2301670 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:10:43.816857: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.38060	validation-mlogloss:1.38075
[1]	train-mlogloss:1.37514	validation-mlogloss:1.37521
[2]	train-mlogloss:1.36958	validation-mlogloss:1.36936
[3]	train-mlogloss:1.36417	validation-mlogloss:1.36401
[4]	train-mlogloss:1.35866	validation-mlogloss:1.35839
[5]	train-mlogloss:1.35320	validation-mlogloss:1.35256
[6]	train-mlogloss:1.34781	validation-mlogloss:1.34713
[7]	train-mlogloss:1.34284	validation-mlogloss:1.34217
[8]	train-mlogloss:1.33775	validation-mlogloss:1.33717
[9]	train-mlogloss:1.33284	validation-mlogloss:1.33223
[10]	train-mlogloss:1.32806	validation-mlogloss:1.32717
[11]	train-mlogloss:1.32337	validation-mlogloss:1.32239
[12]	train-mlogloss:1.31878	validation-mlogloss:1.31786
[13]	train-mlogloss:1.31397	validation-mlogloss:1.31303
[14]	train-mlogloss:1.30943	validation-mlogloss:1.30856
[15]	train-mlogloss:1.30513	validation-mlogloss:1.30430
[16]	train-mlogloss:1.30065	validation-mlogloss:1.29977
[17]	train-mlogloss:1.29604	validation-mlogloss:1.29497
[18]	train-mlogloss:1.29168	validation-mlogloss:1.29038
[19]	train-mlogloss:1.28746	validation-mlogloss:1.28587
[20]	train-mlogloss:1.28342	validation-mlogloss:1.28184
[21]	train-mlogloss:1.27936	validation-mlogloss:1.27780
[22]	train-mlogloss:1.27547	validation-mlogloss:1.27400
[23]	train-mlogloss:1.27129	validation-mlogloss:1.26969
[24]	train-mlogloss:1.26741	validation-mlogloss:1.26596
[25]	train-mlogloss:1.26346	validation-mlogloss:1.26198
[26]	train-mlogloss:1.25987	validation-mlogloss:1.25843
[27]	train-mlogloss:1.25609	validation-mlogloss:1.25457
[28]	train-mlogloss:1.25249	validation-mlogloss:1.25093
[29]	train-mlogloss:1.24886	validation-mlogloss:1.24753
[30]	train-mlogloss:1.24505	validation-mlogloss:1.24361
[31]	train-mlogloss:1.24155	validation-mlogloss:1.24021
[32]	train-mlogloss:1.23823	validation-mlogloss:1.23697
[33]	train-mlogloss:1.23480	validation-mlogloss:1.23352
[34]	train-mlogloss:1.23131	validation-mlogloss:1.22995
[35]	train-mlogloss:1.22804	validation-mlogloss:1.22665
[36]	train-mlogloss:1.22477	validation-mlogloss:1.22344
[37]	train-mlogloss:1.22155	validation-mlogloss:1.22034
[38]	train-mlogloss:1.21838	validation-mlogloss:1.21737
[39]	train-mlogloss:1.21524	validation-mlogloss:1.21427
[40]	train-mlogloss:1.21218	validation-mlogloss:1.21146
[41]	train-mlogloss:1.20910	validation-mlogloss:1.20828
[42]	train-mlogloss:1.20622	validation-mlogloss:1.20553
[43]	train-mlogloss:1.20334	validation-mlogloss:1.20266
[44]	train-mlogloss:1.20059	validation-mlogloss:1.20009
[45]	train-mlogloss:1.19784	validation-mlogloss:1.19719
[46]	train-mlogloss:1.19501	validation-mlogloss:1.19453
[47]	train-mlogloss:1.19232	validation-mlogloss:1.19186
[48]	train-mlogloss:1.18953	validation-mlogloss:1.18890
[49]	train-mlogloss:1.18685	validation-mlogloss:1.18658
[50]	train-mlogloss:1.18382	validation-mlogloss:1.18344
[51]	train-mlogloss:1.18129	validation-mlogloss:1.18101
[52]	train-mlogloss:1.17878	validation-mlogloss:1.17858
[53]	train-mlogloss:1.17592	validation-mlogloss:1.17564
[54]	train-mlogloss:1.17335	validation-mlogloss:1.17318
[55]	train-mlogloss:1.17093	validation-mlogloss:1.17084
[56]	train-mlogloss:1.16848	validation-mlogloss:1.16829
[57]	train-mlogloss:1.16601	validation-mlogloss:1.16596
[58]	train-mlogloss:1.16355	validation-mlogloss:1.16358
[59]	train-mlogloss:1.16107	validation-mlogloss:1.16116
[60]	train-mlogloss:1.15883	validation-mlogloss:1.15908
[61]	train-mlogloss:1.15665	validation-mlogloss:1.15678
[62]	train-mlogloss:1.15446	validation-mlogloss:1.15474
[63]	train-mlogloss:1.15223	validation-mlogloss:1.15261
[64]	train-mlogloss:1.14992	validation-mlogloss:1.15040
[65]	train-mlogloss:1.14780	validation-mlogloss:1.14828
[66]	train-mlogloss:1.14567	validation-mlogloss:1.14612
[67]	train-mlogloss:1.14341	validation-mlogloss:1.14367
[68]	train-mlogloss:1.14128	validation-mlogloss:1.14162
[69]	train-mlogloss:1.13916	validation-mlogloss:1.13939
[70]	train-mlogloss:1.13713	validation-mlogloss:1.13732
[71]	train-mlogloss:1.13495	validation-mlogloss:1.13514
[72]	train-mlogloss:1.13263	validation-mlogloss:1.13288
[73]	train-mlogloss:1.13067	validation-mlogloss:1.13095
[74]	train-mlogloss:1.12856	validation-mlogloss:1.12891
[75]	train-mlogloss:1.12645	validation-mlogloss:1.12684
[76]	train-mlogloss:1.12458	validation-mlogloss:1.12507
[77]	train-mlogloss:1.12259	validation-mlogloss:1.12305
[78]	train-mlogloss:1.12074	validation-mlogloss:1.12142
[79]	train-mlogloss:1.11876	validation-mlogloss:1.11939
[80]	train-mlogloss:1.11700	validation-mlogloss:1.11796
[81]	train-mlogloss:1.11528	validation-mlogloss:1.11649
[82]	train-mlogloss:1.11335	validation-mlogloss:1.11451
[83]	train-mlogloss:1.11130	validation-mlogloss:1.11263
[84]	train-mlogloss:1.10969	validation-mlogloss:1.11129
[85]	train-mlogloss:1.10783	validation-mlogloss:1.10943
[86]	train-mlogloss:1.10593	validation-mlogloss:1.10758
[87]	train-mlogloss:1.10413	validation-mlogloss:1.10580
[88]	train-mlogloss:1.10246	validation-mlogloss:1.10419
[89]	train-mlogloss:1.10087	validation-mlogloss:1.10261
[90]	train-mlogloss:1.09911	validation-mlogloss:1.10078
[91]	train-mlogloss:1.09752	validation-mlogloss:1.09947
[92]	train-mlogloss:1.09595	validation-mlogloss:1.09805
[93]	train-mlogloss:1.09441	validation-mlogloss:1.09638
[94]	train-mlogloss:1.09282	validation-mlogloss:1.09473
[95]	train-mlogloss:1.09104	validation-mlogloss:1.09304
[96]	train-mlogloss:1.08939	validation-mlogloss:1.09143
[97]	train-mlogloss:1.08781	validation-mlogloss:1.08987
[98]	train-mlogloss:1.08629	validation-mlogloss:1.08853
[99]	train-mlogloss:1.08480	validation-mlogloss:1.08697
[100]	train-mlogloss:1.08325	validation-mlogloss:1.08537
[101]	train-mlogloss:1.08174	validation-mlogloss:1.08411
[102]	train-mlogloss:1.08032	validation-mlogloss:1.08264
[103]	train-mlogloss:1.07901	validation-mlogloss:1.08140
[104]	train-mlogloss:1.07759	validation-mlogloss:1.08019
[105]	train-mlogloss:1.07605	validation-mlogloss:1.07871
[106]	train-mlogloss:1.07470	validation-mlogloss:1.07740
[107]	train-mlogloss:1.07330	validation-mlogloss:1.07596
[108]	train-mlogloss:1.07191	validation-mlogloss:1.07452
[109]	train-mlogloss:1.07066	validation-mlogloss:1.07340
[110]	train-mlogloss:1.06938	validation-mlogloss:1.07204
[111]	train-mlogloss:1.06821	validation-mlogloss:1.07091
[112]	train-mlogloss:1.06672	validation-mlogloss:1.06949
[113]	train-mlogloss:1.06561	validation-mlogloss:1.06845
[114]	train-mlogloss:1.06446	validation-mlogloss:1.06741
[115]	train-mlogloss:1.06326	validation-mlogloss:1.06616
[116]	train-mlogloss:1.06211	validation-mlogloss:1.06535
[117]	train-mlogloss:1.06094	validation-mlogloss:1.06428
[118]	train-mlogloss:1.05982	validation-mlogloss:1.06323
[119]	train-mlogloss:1.05859	validation-mlogloss:1.06208
[120]	train-mlogloss:1.05738	validation-mlogloss:1.06087
[121]	train-mlogloss:1.05630	validation-mlogloss:1.05993
[122]	train-mlogloss:1.05522	validation-mlogloss:1.05892
[123]	train-mlogloss:1.05407	validation-mlogloss:1.05785
[124]	train-mlogloss:1.05279	validation-mlogloss:1.05654
[125]	train-mlogloss:1.05184	validation-mlogloss:1.05569
[126]	train-mlogloss:1.05065	validation-mlogloss:1.05465
[127]	train-mlogloss:1.04957	validation-mlogloss:1.05374
[128]	train-mlogloss:1.04846	validation-mlogloss:1.05255
[129]	train-mlogloss:1.04735	validation-mlogloss:1.05145
[130]	train-mlogloss:1.04616	validation-mlogloss:1.05043
[131]	train-mlogloss:1.04514	validation-mlogloss:1.04956
[132]	train-mlogloss:1.04410	validation-mlogloss:1.04859
[133]	train-mlogloss:1.04304	validation-mlogloss:1.04773
[134]	train-mlogloss:1.04200	validation-mlogloss:1.04674
[135]	train-mlogloss:1.04096	validation-mlogloss:1.04592
[136]	train-mlogloss:1.03983	validation-mlogloss:1.04496
[137]	train-mlogloss:1.03892	validation-mlogloss:1.04421
[138]	train-mlogloss:1.03786	validation-mlogloss:1.04332
[139]	train-mlogloss:1.03703	validation-mlogloss:1.04263
[140]	train-mlogloss:1.03593	validation-mlogloss:1.04168
[141]	train-mlogloss:1.03494	validation-mlogloss:1.04075
[142]	train-mlogloss:1.03394	validation-mlogloss:1.03999
[143]	train-mlogloss:1.03290	validation-mlogloss:1.03895
[144]	train-mlogloss:1.03196	validation-mlogloss:1.03805
[145]	train-mlogloss:1.03101	validation-mlogloss:1.03739
[146]	train-mlogloss:1.03012	validation-mlogloss:1.03655
[147]	train-mlogloss:1.02922	validation-mlogloss:1.03578
[148]	train-mlogloss:1.02849	validation-mlogloss:1.03508
[149]	train-mlogloss:1.02758	validation-mlogloss:1.03428
[150]	train-mlogloss:1.02677	validation-mlogloss:1.03346
[151]	train-mlogloss:1.02580	validation-mlogloss:1.03271
[152]	train-mlogloss:1.02498	validation-mlogloss:1.03226
[153]	train-mlogloss:1.02413	validation-mlogloss:1.03153
[154]	train-mlogloss:1.02319	validation-mlogloss:1.03075
[155]	train-mlogloss:1.02231	validation-mlogloss:1.03002
[156]	train-mlogloss:1.02150	validation-mlogloss:1.02914
[157]	train-mlogloss:1.02072	validation-mlogloss:1.02852
[158]	train-mlogloss:1.01999	validation-mlogloss:1.02785
[159]	train-mlogloss:1.01907	validation-mlogloss:1.02690
[160]	train-mlogloss:1.01821	validation-mlogloss:1.02608
[161]	train-mlogloss:1.01733	validation-mlogloss:1.02527
[162]	train-mlogloss:1.01661	validation-mlogloss:1.02454
[163]	train-mlogloss:1.01584	validation-mlogloss:1.02383
[164]	train-mlogloss:1.01510	validation-mlogloss:1.02339
[165]	train-mlogloss:1.01431	validation-mlogloss:1.02283
[166]	train-mlogloss:1.01346	validation-mlogloss:1.02222
[167]	train-mlogloss:1.01270	validation-mlogloss:1.02147
[168]	train-mlogloss:1.01196	validation-mlogloss:1.02081
[169]	train-mlogloss:1.01137	validation-mlogloss:1.02028
[170]	train-mlogloss:1.01075	validation-mlogloss:1.01972
[171]	train-mlogloss:1.01019	validation-mlogloss:1.01933
[172]	train-mlogloss:1.00952	validation-mlogloss:1.01885
[173]	train-mlogloss:1.00888	validation-mlogloss:1.01860
[174]	train-mlogloss:1.00816	validation-mlogloss:1.01819
[175]	train-mlogloss:1.00745	validation-mlogloss:1.01773
[176]	train-mlogloss:1.00672	validation-mlogloss:1.01707
[177]	train-mlogloss:1.00609	validation-mlogloss:1.01654
[178]	train-mlogloss:1.00534	validation-mlogloss:1.01590
[179]	train-mlogloss:1.00472	validation-mlogloss:1.01546
[180]	train-mlogloss:1.00394	validation-mlogloss:1.01490
[181]	train-mlogloss:1.00319	validation-mlogloss:1.01437
[182]	train-mlogloss:1.00254	validation-mlogloss:1.01375
[183]	train-mlogloss:1.00197	validation-mlogloss:1.01324
[184]	train-mlogloss:1.00133	validation-mlogloss:1.01280
[185]	train-mlogloss:1.00073	validation-mlogloss:1.01230
[186]	train-mlogloss:1.00000	validation-mlogloss:1.01165
[187]	train-mlogloss:0.99940	validation-mlogloss:1.01114
[188]	train-mlogloss:0.99880	validation-mlogloss:1.01068
[189]	train-mlogloss:0.99814	validation-mlogloss:1.01020
[190]	train-mlogloss:0.99763	validation-mlogloss:1.00987
[191]	train-mlogloss:0.99696	validation-mlogloss:1.00939
[192]	train-mlogloss:0.99635	validation-mlogloss:1.00885
[193]	train-mlogloss:0.99579	validation-mlogloss:1.00861
[194]	train-mlogloss:0.99527	validation-mlogloss:1.00812
[195]	train-mlogloss:0.99479	validation-mlogloss:1.00772
[196]	train-mlogloss:0.99438	validation-mlogloss:1.00748
[197]	train-mlogloss:0.99376	validation-mlogloss:1.00700
[198]	train-mlogloss:0.99312	validation-mlogloss:1.00651
[199]	train-mlogloss:0.99257	validation-mlogloss:1.00614
[200]	train-mlogloss:0.99198	validation-mlogloss:1.00572
[201]	train-mlogloss:0.99138	validation-mlogloss:1.00517
[202]	train-mlogloss:0.99088	validation-mlogloss:1.00494
[203]	train-mlogloss:0.99028	validation-mlogloss:1.00437
[204]	train-mlogloss:0.98973	validation-mlogloss:1.00394
[205]	train-mlogloss:0.98922	validation-mlogloss:1.00371
[206]	train-mlogloss:0.98874	validation-mlogloss:1.00325
[207]	train-mlogloss:0.98830	validation-mlogloss:1.00283
[208]	train-mlogloss:0.98782	validation-mlogloss:1.00242
[209]	train-mlogloss:0.98710	validation-mlogloss:1.00192
[210]	train-mlogloss:0.98660	validation-mlogloss:1.00131
[211]	train-mlogloss:0.98618	validation-mlogloss:1.00092
[212]	train-mlogloss:0.98571	validation-mlogloss:1.00050
[213]	train-mlogloss:0.98524	validation-mlogloss:1.00014
[214]	train-mlogloss:0.98476	validation-mlogloss:0.99989
[215]	train-mlogloss:0.98431	validation-mlogloss:0.99963
[216]	train-mlogloss:0.98395	validation-mlogloss:0.99937
[217]	train-mlogloss:0.98354	validation-mlogloss:0.99901
[218]	train-mlogloss:0.98310	validation-mlogloss:0.99853
[219]	train-mlogloss:0.98265	validation-mlogloss:0.99821
[220]	train-mlogloss:0.98234	validation-mlogloss:0.99798
[221]	train-mlogloss:0.98192	validation-mlogloss:0.99765
[222]	train-mlogloss:0.98149	validation-mlogloss:0.99738
[223]	train-mlogloss:0.98099	validation-mlogloss:0.99680
[224]	train-mlogloss:0.98058	validation-mlogloss:0.99657
[225]	train-mlogloss:0.98012	validation-mlogloss:0.99635
[226]	train-mlogloss:0.97964	validation-mlogloss:0.99621
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)
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.15 [%]
Global accuracy score (test) = 58.96 [%]
Global F1 score (train) = 60.22 [%]
Global F1 score (test) = 58.97 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.38      0.41       400
MODERATE-INTENSITY       0.55      0.68      0.61       400
         SEDENTARY       0.63      0.71      0.67       400
VIGOROUS-INTENSITY       0.79      0.59      0.67       345

          accuracy                           0.59      1545
         macro avg       0.60      0.59      0.59      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 8: 58.96 [%]
F1-score capturado en la ejecución 8: 58.97 [%]

=== EJECUCIÓN 9 ===

--- TRAIN (ejecución 9) ---

--- TEST (ejecución 9) ---
2025-11-07 09:10:54.791895: 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 09:10:54.802835: 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 00:00:1762503054.815844 2301919 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503054.819755 2301919 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503054.829672 2301919 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503054.829691 2301919 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503054.829693 2301919 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503054.829695 2301919 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:10:54.832698: 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:1.38040	validation-mlogloss:1.38022
[1]	train-mlogloss:1.37510	validation-mlogloss:1.37521
[2]	train-mlogloss:1.36942	validation-mlogloss:1.36942
[3]	train-mlogloss:1.36413	validation-mlogloss:1.36420
[4]	train-mlogloss:1.35865	validation-mlogloss:1.35837
[5]	train-mlogloss:1.35362	validation-mlogloss:1.35322
[6]	train-mlogloss:1.34867	validation-mlogloss:1.34816
[7]	train-mlogloss:1.34362	validation-mlogloss:1.34301
[8]	train-mlogloss:1.33871	validation-mlogloss:1.33809
[9]	train-mlogloss:1.33389	validation-mlogloss:1.33313
[10]	train-mlogloss:1.32904	validation-mlogloss:1.32811
[11]	train-mlogloss:1.32447	validation-mlogloss:1.32357
[12]	train-mlogloss:1.31984	validation-mlogloss:1.31900
[13]	train-mlogloss:1.31524	validation-mlogloss:1.31430
[14]	train-mlogloss:1.31085	validation-mlogloss:1.30983
[15]	train-mlogloss:1.30615	validation-mlogloss:1.30490
[16]	train-mlogloss:1.30178	validation-mlogloss:1.30046
[17]	train-mlogloss:1.29760	validation-mlogloss:1.29625
[18]	train-mlogloss:1.29358	validation-mlogloss:1.29234
[19]	train-mlogloss:1.28952	validation-mlogloss:1.28828
[20]	train-mlogloss:1.28515	validation-mlogloss:1.28384
[21]	train-mlogloss:1.28102	validation-mlogloss:1.27955
[22]	train-mlogloss:1.27710	validation-mlogloss:1.27551
[23]	train-mlogloss:1.27328	validation-mlogloss:1.27156
[24]	train-mlogloss:1.26942	validation-mlogloss:1.26751
[25]	train-mlogloss:1.26547	validation-mlogloss:1.26361
[26]	train-mlogloss:1.26172	validation-mlogloss:1.25986
[27]	train-mlogloss:1.25784	validation-mlogloss:1.25596
[28]	train-mlogloss:1.25392	validation-mlogloss:1.25176
[29]	train-mlogloss:1.25032	validation-mlogloss:1.24790
[30]	train-mlogloss:1.24681	validation-mlogloss:1.24435
[31]	train-mlogloss:1.24328	validation-mlogloss:1.24076
[32]	train-mlogloss:1.23972	validation-mlogloss:1.23687
[33]	train-mlogloss:1.23619	validation-mlogloss:1.23330
[34]	train-mlogloss:1.23287	validation-mlogloss:1.22997
[35]	train-mlogloss:1.22930	validation-mlogloss:1.22624
[36]	train-mlogloss:1.22605	validation-mlogloss:1.22310
[37]	train-mlogloss:1.22280	validation-mlogloss:1.21986
[38]	train-mlogloss:1.21964	validation-mlogloss:1.21648
[39]	train-mlogloss:1.21632	validation-mlogloss:1.21315
[40]	train-mlogloss:1.21318	validation-mlogloss:1.20991
[41]	train-mlogloss:1.21020	validation-mlogloss:1.20680
[42]	train-mlogloss:1.20737	validation-mlogloss:1.20406
[43]	train-mlogloss:1.20415	validation-mlogloss:1.20066
[44]	train-mlogloss:1.20140	validation-mlogloss:1.19807
[45]	train-mlogloss:1.19853	validation-mlogloss:1.19514
[46]	train-mlogloss:1.19578	validation-mlogloss:1.19226
[47]	train-mlogloss:1.19300	validation-mlogloss:1.18949
[48]	train-mlogloss:1.19033	validation-mlogloss:1.18690
[49]	train-mlogloss:1.18746	validation-mlogloss:1.18373
[50]	train-mlogloss:1.18483	validation-mlogloss:1.18106
[51]	train-mlogloss:1.18228	validation-mlogloss:1.17848
[52]	train-mlogloss:1.17973	validation-mlogloss:1.17589
[53]	train-mlogloss:1.17710	validation-mlogloss:1.17322
[54]	train-mlogloss:1.17455	validation-mlogloss:1.17056
[55]	train-mlogloss:1.17194	validation-mlogloss:1.16808
[56]	train-mlogloss:1.16960	validation-mlogloss:1.16598
[57]	train-mlogloss:1.16706	validation-mlogloss:1.16341
[58]	train-mlogloss:1.16453	validation-mlogloss:1.16088
[59]	train-mlogloss:1.16219	validation-mlogloss:1.15877
[60]	train-mlogloss:1.15972	validation-mlogloss:1.15610
[61]	train-mlogloss:1.15748	validation-mlogloss:1.15397
[62]	train-mlogloss:1.15516	validation-mlogloss:1.15180
[63]	train-mlogloss:1.15295	validation-mlogloss:1.14970
[64]	train-mlogloss:1.15075	validation-mlogloss:1.14749
[65]	train-mlogloss:1.14859	validation-mlogloss:1.14534
[66]	train-mlogloss:1.14655	validation-mlogloss:1.14342
[67]	train-mlogloss:1.14444	validation-mlogloss:1.14121
[68]	train-mlogloss:1.14236	validation-mlogloss:1.13915
[69]	train-mlogloss:1.14020	validation-mlogloss:1.13695
[70]	train-mlogloss:1.13823	validation-mlogloss:1.13493
[71]	train-mlogloss:1.13628	validation-mlogloss:1.13297
[72]	train-mlogloss:1.13438	validation-mlogloss:1.13125
[73]	train-mlogloss:1.13248	validation-mlogloss:1.12931
[74]	train-mlogloss:1.13064	validation-mlogloss:1.12765
[75]	train-mlogloss:1.12866	validation-mlogloss:1.12561
[76]	train-mlogloss:1.12665	validation-mlogloss:1.12354
[77]	train-mlogloss:1.12464	validation-mlogloss:1.12165
[78]	train-mlogloss:1.12302	validation-mlogloss:1.12023
[79]	train-mlogloss:1.12106	validation-mlogloss:1.11830
[80]	train-mlogloss:1.11921	validation-mlogloss:1.11663
[81]	train-mlogloss:1.11747	validation-mlogloss:1.11485
[82]	train-mlogloss:1.11557	validation-mlogloss:1.11272
[83]	train-mlogloss:1.11380	validation-mlogloss:1.11120
[84]	train-mlogloss:1.11213	validation-mlogloss:1.10988
[85]	train-mlogloss:1.11043	validation-mlogloss:1.10825
[86]	train-mlogloss:1.10879	validation-mlogloss:1.10664
[87]	train-mlogloss:1.10718	validation-mlogloss:1.10546
[88]	train-mlogloss:1.10526	validation-mlogloss:1.10366
[89]	train-mlogloss:1.10360	validation-mlogloss:1.10192
[90]	train-mlogloss:1.10194	validation-mlogloss:1.10022
[91]	train-mlogloss:1.10033	validation-mlogloss:1.09887
[92]	train-mlogloss:1.09871	validation-mlogloss:1.09712
[93]	train-mlogloss:1.09706	validation-mlogloss:1.09545
[94]	train-mlogloss:1.09556	validation-mlogloss:1.09404
[95]	train-mlogloss:1.09399	validation-mlogloss:1.09250
[96]	train-mlogloss:1.09231	validation-mlogloss:1.09084
[97]	train-mlogloss:1.09085	validation-mlogloss:1.08963
[98]	train-mlogloss:1.08923	validation-mlogloss:1.08800
[99]	train-mlogloss:1.08772	validation-mlogloss:1.08669
[100]	train-mlogloss:1.08636	validation-mlogloss:1.08556
[101]	train-mlogloss:1.08496	validation-mlogloss:1.08422
[102]	train-mlogloss:1.08343	validation-mlogloss:1.08260
[103]	train-mlogloss:1.08213	validation-mlogloss:1.08149
[104]	train-mlogloss:1.08077	validation-mlogloss:1.08033
[105]	train-mlogloss:1.07945	validation-mlogloss:1.07903
[106]	train-mlogloss:1.07811	validation-mlogloss:1.07779
[107]	train-mlogloss:1.07670	validation-mlogloss:1.07635
[108]	train-mlogloss:1.07548	validation-mlogloss:1.07522
[109]	train-mlogloss:1.07413	validation-mlogloss:1.07398
[110]	train-mlogloss:1.07281	validation-mlogloss:1.07252
[111]	train-mlogloss:1.07150	validation-mlogloss:1.07144
[112]	train-mlogloss:1.07031	validation-mlogloss:1.07037
[113]	train-mlogloss:1.06894	validation-mlogloss:1.06907
[114]	train-mlogloss:1.06770	validation-mlogloss:1.06788
[115]	train-mlogloss:1.06650	validation-mlogloss:1.06679
[116]	train-mlogloss:1.06524	validation-mlogloss:1.06559
[117]	train-mlogloss:1.06405	validation-mlogloss:1.06457
[118]	train-mlogloss:1.06280	validation-mlogloss:1.06333
[119]	train-mlogloss:1.06169	validation-mlogloss:1.06239
[120]	train-mlogloss:1.06043	validation-mlogloss:1.06118
[121]	train-mlogloss:1.05912	validation-mlogloss:1.05987
[122]	train-mlogloss:1.05798	validation-mlogloss:1.05878
[123]	train-mlogloss:1.05666	validation-mlogloss:1.05735
[124]	train-mlogloss:1.05559	validation-mlogloss:1.05652
[125]	train-mlogloss:1.05444	validation-mlogloss:1.05522
[126]	train-mlogloss:1.05323	validation-mlogloss:1.05413
[127]	train-mlogloss:1.05222	validation-mlogloss:1.05323
[128]	train-mlogloss:1.05128	validation-mlogloss:1.05238
[129]	train-mlogloss:1.05022	validation-mlogloss:1.05143
[130]	train-mlogloss:1.04915	validation-mlogloss:1.05033
[131]	train-mlogloss:1.04812	validation-mlogloss:1.04937
[132]	train-mlogloss:1.04704	validation-mlogloss:1.04836
[133]	train-mlogloss:1.04603	validation-mlogloss:1.04753
[134]	train-mlogloss:1.04497	validation-mlogloss:1.04649
[135]	train-mlogloss:1.04387	validation-mlogloss:1.04546
[136]	train-mlogloss:1.04292	validation-mlogloss:1.04450
[137]	train-mlogloss:1.04187	validation-mlogloss:1.04351
[138]	train-mlogloss:1.04087	validation-mlogloss:1.04256
[139]	train-mlogloss:1.03998	validation-mlogloss:1.04173
[140]	train-mlogloss:1.03908	validation-mlogloss:1.04084
[141]	train-mlogloss:1.03816	validation-mlogloss:1.03996
[142]	train-mlogloss:1.03728	validation-mlogloss:1.03938
[143]	train-mlogloss:1.03626	validation-mlogloss:1.03854
[144]	train-mlogloss:1.03540	validation-mlogloss:1.03789
[145]	train-mlogloss:1.03431	validation-mlogloss:1.03712
[146]	train-mlogloss:1.03326	validation-mlogloss:1.03607
[147]	train-mlogloss:1.03242	validation-mlogloss:1.03523
[148]	train-mlogloss:1.03148	validation-mlogloss:1.03434
[149]	train-mlogloss:1.03056	validation-mlogloss:1.03364
[150]	train-mlogloss:1.02962	validation-mlogloss:1.03297
[151]	train-mlogloss:1.02881	validation-mlogloss:1.03232
[152]	train-mlogloss:1.02793	validation-mlogloss:1.03147
[153]	train-mlogloss:1.02714	validation-mlogloss:1.03083
[154]	train-mlogloss:1.02637	validation-mlogloss:1.03024
[155]	train-mlogloss:1.02538	validation-mlogloss:1.02921
[156]	train-mlogloss:1.02447	validation-mlogloss:1.02845
[157]	train-mlogloss:1.02366	validation-mlogloss:1.02770
[158]	train-mlogloss:1.02295	validation-mlogloss:1.02705
[159]	train-mlogloss:1.02212	validation-mlogloss:1.02635
[160]	train-mlogloss:1.02119	validation-mlogloss:1.02552
[161]	train-mlogloss:1.02047	validation-mlogloss:1.02478
[162]	train-mlogloss:1.01957	validation-mlogloss:1.02377
[163]	train-mlogloss:1.01888	validation-mlogloss:1.02323
[164]	train-mlogloss:1.01820	validation-mlogloss:1.02255
[165]	train-mlogloss:1.01746	validation-mlogloss:1.02199
[166]	train-mlogloss:1.01662	validation-mlogloss:1.02140
[167]	train-mlogloss:1.01600	validation-mlogloss:1.02091
[168]	train-mlogloss:1.01528	validation-mlogloss:1.02043
[169]	train-mlogloss:1.01463	validation-mlogloss:1.02000
[170]	train-mlogloss:1.01394	validation-mlogloss:1.01936
[171]	train-mlogloss:1.01313	validation-mlogloss:1.01871
[172]	train-mlogloss:1.01242	validation-mlogloss:1.01798
[173]	train-mlogloss:1.01175	validation-mlogloss:1.01737
[174]	train-mlogloss:1.01105	validation-mlogloss:1.01677
[175]	train-mlogloss:1.01024	validation-mlogloss:1.01603
[176]	train-mlogloss:1.00974	validation-mlogloss:1.01567
[177]	train-mlogloss:1.00921	validation-mlogloss:1.01507
[178]	train-mlogloss:1.00868	validation-mlogloss:1.01474
[179]	train-mlogloss:1.00806	validation-mlogloss:1.01413
[180]	train-mlogloss:1.00745	validation-mlogloss:1.01351
[181]	train-mlogloss:1.00684	validation-mlogloss:1.01295
[182]	train-mlogloss:1.00633	validation-mlogloss:1.01246
[183]	train-mlogloss:1.00580	validation-mlogloss:1.01203
[184]	train-mlogloss:1.00519	validation-mlogloss:1.01147
[185]	train-mlogloss:1.00461	validation-mlogloss:1.01114
[186]	train-mlogloss:1.00412	validation-mlogloss:1.01071
[187]	train-mlogloss:1.00354	validation-mlogloss:1.01026
[188]	train-mlogloss:1.00271	validation-mlogloss:1.00962
[189]	train-mlogloss:1.00204	validation-mlogloss:1.00905
[190]	train-mlogloss:1.00151	validation-mlogloss:1.00863
[191]	train-mlogloss:1.00097	validation-mlogloss:1.00822
[192]	train-mlogloss:1.00041	validation-mlogloss:1.00785
[193]	train-mlogloss:0.99993	validation-mlogloss:1.00757
[194]	train-mlogloss:0.99942	validation-mlogloss:1.00722
[195]	train-mlogloss:0.99890	validation-mlogloss:1.00685
[196]	train-mlogloss:0.99838	validation-mlogloss:1.00627
[197]	train-mlogloss:0.99789	validation-mlogloss:1.00585
[198]	train-mlogloss:0.99743	validation-mlogloss:1.00559
[199]	train-mlogloss:0.99692	validation-mlogloss:1.00522
[200]	train-mlogloss:0.99631	validation-mlogloss:1.00466
[201]	train-mlogloss:0.99576	validation-mlogloss:1.00415
[202]	train-mlogloss:0.99520	validation-mlogloss:1.00368
[203]	train-mlogloss:0.99474	validation-mlogloss:1.00327
[204]	train-mlogloss:0.99431	validation-mlogloss:1.00294
[205]	train-mlogloss:0.99372	validation-mlogloss:1.00240
[206]	train-mlogloss:0.99337	validation-mlogloss:1.00214
[207]	train-mlogloss:0.99290	validation-mlogloss:1.00172
[208]	train-mlogloss:0.99245	validation-mlogloss:1.00147
[209]	train-mlogloss:0.99202	validation-mlogloss:1.00141
[210]	train-mlogloss:0.99157	validation-mlogloss:1.00097
[211]	train-mlogloss:0.99107	validation-mlogloss:1.00040
[212]	train-mlogloss:0.99061	validation-mlogloss:1.00017
[213]	train-mlogloss:0.99022	validation-mlogloss:0.99986
[214]	train-mlogloss:0.98975	validation-mlogloss:0.99945
[215]	train-mlogloss:0.98938	validation-mlogloss:0.99930
[216]	train-mlogloss:0.98888	validation-mlogloss:0.99890
[217]	train-mlogloss:0.98830	validation-mlogloss:0.99845
[218]	train-mlogloss:0.98790	validation-mlogloss:0.99825
[219]	train-mlogloss:0.98743	validation-mlogloss:0.99784
[220]	train-mlogloss:0.98705	validation-mlogloss:0.99760
[221]	train-mlogloss:0.98668	validation-mlogloss:0.99731
[222]	train-mlogloss:0.98631	validation-mlogloss:0.99700
[223]	train-mlogloss:0.98589	validation-mlogloss:0.99656
[224]	train-mlogloss:0.98549	validation-mlogloss:0.99625
[225]	train-mlogloss:0.98505	validation-mlogloss:0.99591
[226]	train-mlogloss:0.98463	validation-mlogloss:0.99549
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 0 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.91 [%]
Global accuracy score (test) = 59.68 [%]
Global F1 score (train) = 59.92 [%]
Global F1 score (test) = 59.63 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.36      0.40       400
MODERATE-INTENSITY       0.54      0.74      0.62       400
         SEDENTARY       0.65      0.70      0.68       400
VIGOROUS-INTENSITY       0.83      0.59      0.69       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.59      1545


Accuracy capturado en la ejecución 9: 59.68 [%]
F1-score capturado en la ejecución 9: 59.63 [%]

=== EJECUCIÓN 10 ===

--- TRAIN (ejecución 10) ---

--- TEST (ejecución 10) ---
2025-11-07 09:11:05.919796: 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 09:11:05.931466: 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 00:00:1762503065.945073 2302189 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503065.949160 2302189 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503065.959285 2302189 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503065.959307 2302189 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503065.959309 2302189 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503065.959311 2302189 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:11:05.962519: 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:1.38058	validation-mlogloss:1.38048
[1]	train-mlogloss:1.37485	validation-mlogloss:1.37441
[2]	train-mlogloss:1.36931	validation-mlogloss:1.36856
[3]	train-mlogloss:1.36379	validation-mlogloss:1.36296
[4]	train-mlogloss:1.35822	validation-mlogloss:1.35708
[5]	train-mlogloss:1.35276	validation-mlogloss:1.35136
[6]	train-mlogloss:1.34765	validation-mlogloss:1.34635
[7]	train-mlogloss:1.34253	validation-mlogloss:1.34121
[8]	train-mlogloss:1.33717	validation-mlogloss:1.33561
[9]	train-mlogloss:1.33193	validation-mlogloss:1.33023
[10]	train-mlogloss:1.32727	validation-mlogloss:1.32562
[11]	train-mlogloss:1.32243	validation-mlogloss:1.32087
[12]	train-mlogloss:1.31749	validation-mlogloss:1.31563
[13]	train-mlogloss:1.31287	validation-mlogloss:1.31074
[14]	train-mlogloss:1.30813	validation-mlogloss:1.30570
[15]	train-mlogloss:1.30365	validation-mlogloss:1.30101
[16]	train-mlogloss:1.29927	validation-mlogloss:1.29654
[17]	train-mlogloss:1.29480	validation-mlogloss:1.29189
[18]	train-mlogloss:1.29011	validation-mlogloss:1.28720
[19]	train-mlogloss:1.28589	validation-mlogloss:1.28306
[20]	train-mlogloss:1.28185	validation-mlogloss:1.27904
[21]	train-mlogloss:1.27755	validation-mlogloss:1.27460
[22]	train-mlogloss:1.27343	validation-mlogloss:1.27045
[23]	train-mlogloss:1.26931	validation-mlogloss:1.26622
[24]	train-mlogloss:1.26533	validation-mlogloss:1.26227
[25]	train-mlogloss:1.26127	validation-mlogloss:1.25808
[26]	train-mlogloss:1.25747	validation-mlogloss:1.25427
[27]	train-mlogloss:1.25368	validation-mlogloss:1.24998
[28]	train-mlogloss:1.25007	validation-mlogloss:1.24655
[29]	train-mlogloss:1.24629	validation-mlogloss:1.24262
[30]	train-mlogloss:1.24269	validation-mlogloss:1.23887
[31]	train-mlogloss:1.23892	validation-mlogloss:1.23498
[32]	train-mlogloss:1.23559	validation-mlogloss:1.23183
[33]	train-mlogloss:1.23197	validation-mlogloss:1.22788
[34]	train-mlogloss:1.22856	validation-mlogloss:1.22457
[35]	train-mlogloss:1.22534	validation-mlogloss:1.22099
[36]	train-mlogloss:1.22207	validation-mlogloss:1.21769
[37]	train-mlogloss:1.21864	validation-mlogloss:1.21420
[38]	train-mlogloss:1.21524	validation-mlogloss:1.21093
[39]	train-mlogloss:1.21193	validation-mlogloss:1.20752
[40]	train-mlogloss:1.20878	validation-mlogloss:1.20420
[41]	train-mlogloss:1.20578	validation-mlogloss:1.20117
[42]	train-mlogloss:1.20281	validation-mlogloss:1.19855
[43]	train-mlogloss:1.19989	validation-mlogloss:1.19547
[44]	train-mlogloss:1.19670	validation-mlogloss:1.19231
[45]	train-mlogloss:1.19382	validation-mlogloss:1.18952
[46]	train-mlogloss:1.19096	validation-mlogloss:1.18645
[47]	train-mlogloss:1.18796	validation-mlogloss:1.18328
[48]	train-mlogloss:1.18515	validation-mlogloss:1.18050
[49]	train-mlogloss:1.18230	validation-mlogloss:1.17763
[50]	train-mlogloss:1.17957	validation-mlogloss:1.17498
[51]	train-mlogloss:1.17705	validation-mlogloss:1.17261
[52]	train-mlogloss:1.17436	validation-mlogloss:1.16999
[53]	train-mlogloss:1.17161	validation-mlogloss:1.16710
[54]	train-mlogloss:1.16910	validation-mlogloss:1.16478
[55]	train-mlogloss:1.16671	validation-mlogloss:1.16261
[56]	train-mlogloss:1.16411	validation-mlogloss:1.16003
[57]	train-mlogloss:1.16157	validation-mlogloss:1.15755
[58]	train-mlogloss:1.15906	validation-mlogloss:1.15500
[59]	train-mlogloss:1.15670	validation-mlogloss:1.15257
[60]	train-mlogloss:1.15438	validation-mlogloss:1.15027
[61]	train-mlogloss:1.15187	validation-mlogloss:1.14770
[62]	train-mlogloss:1.14956	validation-mlogloss:1.14541
[63]	train-mlogloss:1.14711	validation-mlogloss:1.14287
[64]	train-mlogloss:1.14485	validation-mlogloss:1.14089
[65]	train-mlogloss:1.14266	validation-mlogloss:1.13872
[66]	train-mlogloss:1.14046	validation-mlogloss:1.13655
[67]	train-mlogloss:1.13830	validation-mlogloss:1.13423
[68]	train-mlogloss:1.13619	validation-mlogloss:1.13220
[69]	train-mlogloss:1.13415	validation-mlogloss:1.13024
[70]	train-mlogloss:1.13215	validation-mlogloss:1.12815
[71]	train-mlogloss:1.12981	validation-mlogloss:1.12589
[72]	train-mlogloss:1.12778	validation-mlogloss:1.12400
[73]	train-mlogloss:1.12583	validation-mlogloss:1.12218
[74]	train-mlogloss:1.12407	validation-mlogloss:1.12049
[75]	train-mlogloss:1.12227	validation-mlogloss:1.11881
[76]	train-mlogloss:1.12014	validation-mlogloss:1.11678
[77]	train-mlogloss:1.11828	validation-mlogloss:1.11522
[78]	train-mlogloss:1.11629	validation-mlogloss:1.11324
[79]	train-mlogloss:1.11453	validation-mlogloss:1.11167
[80]	train-mlogloss:1.11271	validation-mlogloss:1.10983
[81]	train-mlogloss:1.11070	validation-mlogloss:1.10786
[82]	train-mlogloss:1.10903	validation-mlogloss:1.10631
[83]	train-mlogloss:1.10734	validation-mlogloss:1.10458
[84]	train-mlogloss:1.10557	validation-mlogloss:1.10294
[85]	train-mlogloss:1.10390	validation-mlogloss:1.10114
[86]	train-mlogloss:1.10204	validation-mlogloss:1.09932
[87]	train-mlogloss:1.10029	validation-mlogloss:1.09775
[88]	train-mlogloss:1.09851	validation-mlogloss:1.09602
[89]	train-mlogloss:1.09682	validation-mlogloss:1.09441
[90]	train-mlogloss:1.09500	validation-mlogloss:1.09255
[91]	train-mlogloss:1.09335	validation-mlogloss:1.09108
[92]	train-mlogloss:1.09162	validation-mlogloss:1.08936
[93]	train-mlogloss:1.08993	validation-mlogloss:1.08764
[94]	train-mlogloss:1.08833	validation-mlogloss:1.08585
[95]	train-mlogloss:1.08662	validation-mlogloss:1.08430
[96]	train-mlogloss:1.08514	validation-mlogloss:1.08282
[97]	train-mlogloss:1.08366	validation-mlogloss:1.08146
[98]	train-mlogloss:1.08205	validation-mlogloss:1.07987
[99]	train-mlogloss:1.08061	validation-mlogloss:1.07856
[100]	train-mlogloss:1.07918	validation-mlogloss:1.07713
[101]	train-mlogloss:1.07774	validation-mlogloss:1.07581
[102]	train-mlogloss:1.07634	validation-mlogloss:1.07443
[103]	train-mlogloss:1.07492	validation-mlogloss:1.07300
[104]	train-mlogloss:1.07342	validation-mlogloss:1.07136
[105]	train-mlogloss:1.07195	validation-mlogloss:1.07004
[106]	train-mlogloss:1.07064	validation-mlogloss:1.06896
[107]	train-mlogloss:1.06939	validation-mlogloss:1.06783
[108]	train-mlogloss:1.06793	validation-mlogloss:1.06649
[109]	train-mlogloss:1.06653	validation-mlogloss:1.06518
[110]	train-mlogloss:1.06519	validation-mlogloss:1.06394
[111]	train-mlogloss:1.06388	validation-mlogloss:1.06262
[112]	train-mlogloss:1.06256	validation-mlogloss:1.06149
[113]	train-mlogloss:1.06139	validation-mlogloss:1.06061
[114]	train-mlogloss:1.06014	validation-mlogloss:1.05924
[115]	train-mlogloss:1.05889	validation-mlogloss:1.05802
[116]	train-mlogloss:1.05765	validation-mlogloss:1.05682
[117]	train-mlogloss:1.05655	validation-mlogloss:1.05580
[118]	train-mlogloss:1.05527	validation-mlogloss:1.05460
[119]	train-mlogloss:1.05395	validation-mlogloss:1.05335
[120]	train-mlogloss:1.05286	validation-mlogloss:1.05238
[121]	train-mlogloss:1.05165	validation-mlogloss:1.05129
[122]	train-mlogloss:1.05044	validation-mlogloss:1.05016
[123]	train-mlogloss:1.04936	validation-mlogloss:1.04913
[124]	train-mlogloss:1.04828	validation-mlogloss:1.04813
[125]	train-mlogloss:1.04708	validation-mlogloss:1.04696
[126]	train-mlogloss:1.04605	validation-mlogloss:1.04595
[127]	train-mlogloss:1.04502	validation-mlogloss:1.04504
[128]	train-mlogloss:1.04392	validation-mlogloss:1.04406
[129]	train-mlogloss:1.04282	validation-mlogloss:1.04314
[130]	train-mlogloss:1.04178	validation-mlogloss:1.04218
[131]	train-mlogloss:1.04075	validation-mlogloss:1.04112
[132]	train-mlogloss:1.03979	validation-mlogloss:1.04015
[133]	train-mlogloss:1.03864	validation-mlogloss:1.03897
[134]	train-mlogloss:1.03765	validation-mlogloss:1.03806
[135]	train-mlogloss:1.03659	validation-mlogloss:1.03707
[136]	train-mlogloss:1.03572	validation-mlogloss:1.03635
[137]	train-mlogloss:1.03488	validation-mlogloss:1.03572
[138]	train-mlogloss:1.03395	validation-mlogloss:1.03495
[139]	train-mlogloss:1.03294	validation-mlogloss:1.03413
[140]	train-mlogloss:1.03202	validation-mlogloss:1.03354
[141]	train-mlogloss:1.03101	validation-mlogloss:1.03263
[142]	train-mlogloss:1.03008	validation-mlogloss:1.03181
[143]	train-mlogloss:1.02907	validation-mlogloss:1.03093
[144]	train-mlogloss:1.02822	validation-mlogloss:1.03021
[145]	train-mlogloss:1.02735	validation-mlogloss:1.02943
[146]	train-mlogloss:1.02640	validation-mlogloss:1.02858
[147]	train-mlogloss:1.02540	validation-mlogloss:1.02758
[148]	train-mlogloss:1.02460	validation-mlogloss:1.02676
[149]	train-mlogloss:1.02372	validation-mlogloss:1.02584
[150]	train-mlogloss:1.02291	validation-mlogloss:1.02500
[151]	train-mlogloss:1.02197	validation-mlogloss:1.02428
[152]	train-mlogloss:1.02113	validation-mlogloss:1.02340
[153]	train-mlogloss:1.02022	validation-mlogloss:1.02256
[154]	train-mlogloss:1.01944	validation-mlogloss:1.02207
[155]	train-mlogloss:1.01873	validation-mlogloss:1.02154
[156]	train-mlogloss:1.01806	validation-mlogloss:1.02099
[157]	train-mlogloss:1.01726	validation-mlogloss:1.02031
[158]	train-mlogloss:1.01650	validation-mlogloss:1.01966
[159]	train-mlogloss:1.01580	validation-mlogloss:1.01906
[160]	train-mlogloss:1.01500	validation-mlogloss:1.01846
[161]	train-mlogloss:1.01421	validation-mlogloss:1.01777
[162]	train-mlogloss:1.01338	validation-mlogloss:1.01718
[163]	train-mlogloss:1.01269	validation-mlogloss:1.01683
[164]	train-mlogloss:1.01197	validation-mlogloss:1.01625
[165]	train-mlogloss:1.01121	validation-mlogloss:1.01571
[166]	train-mlogloss:1.01047	validation-mlogloss:1.01495
[167]	train-mlogloss:1.00974	validation-mlogloss:1.01436
[168]	train-mlogloss:1.00901	validation-mlogloss:1.01376
[169]	train-mlogloss:1.00832	validation-mlogloss:1.01303
[170]	train-mlogloss:1.00759	validation-mlogloss:1.01264
[171]	train-mlogloss:1.00672	validation-mlogloss:1.01176
[172]	train-mlogloss:1.00610	validation-mlogloss:1.01141
[173]	train-mlogloss:1.00547	validation-mlogloss:1.01084
[174]	train-mlogloss:1.00489	validation-mlogloss:1.01010
[175]	train-mlogloss:1.00433	validation-mlogloss:1.00952
[176]	train-mlogloss:1.00363	validation-mlogloss:1.00877
[177]	train-mlogloss:1.00293	validation-mlogloss:1.00807
[178]	train-mlogloss:1.00230	validation-mlogloss:1.00756
[179]	train-mlogloss:1.00162	validation-mlogloss:1.00708
[180]	train-mlogloss:1.00109	validation-mlogloss:1.00682
[181]	train-mlogloss:1.00050	validation-mlogloss:1.00638
[182]	train-mlogloss:0.99993	validation-mlogloss:1.00588
[183]	train-mlogloss:0.99916	validation-mlogloss:1.00524
[184]	train-mlogloss:0.99862	validation-mlogloss:1.00480
[185]	train-mlogloss:0.99809	validation-mlogloss:1.00450
[186]	train-mlogloss:0.99740	validation-mlogloss:1.00399
[187]	train-mlogloss:0.99688	validation-mlogloss:1.00367
[188]	train-mlogloss:0.99646	validation-mlogloss:1.00324
[189]	train-mlogloss:0.99590	validation-mlogloss:1.00293
[190]	train-mlogloss:0.99544	validation-mlogloss:1.00254
[191]	train-mlogloss:0.99492	validation-mlogloss:1.00205
[192]	train-mlogloss:0.99432	validation-mlogloss:1.00148
[193]	train-mlogloss:0.99379	validation-mlogloss:1.00099
[194]	train-mlogloss:0.99319	validation-mlogloss:1.00043
[195]	train-mlogloss:0.99260	validation-mlogloss:0.99996
[196]	train-mlogloss:0.99206	validation-mlogloss:0.99964
[197]	train-mlogloss:0.99147	validation-mlogloss:0.99918
[198]	train-mlogloss:0.99092	validation-mlogloss:0.99890
[199]	train-mlogloss:0.99030	validation-mlogloss:0.99831
[200]	train-mlogloss:0.98966	validation-mlogloss:0.99788
[201]	train-mlogloss:0.98913	validation-mlogloss:0.99740
[202]	train-mlogloss:0.98869	validation-mlogloss:0.99715
[203]	train-mlogloss:0.98820	validation-mlogloss:0.99678
[204]	train-mlogloss:0.98785	validation-mlogloss:0.99656
[205]	train-mlogloss:0.98735	validation-mlogloss:0.99627
[206]	train-mlogloss:0.98679	validation-mlogloss:0.99587
[207]	train-mlogloss:0.98633	validation-mlogloss:0.99547
[208]	train-mlogloss:0.98594	validation-mlogloss:0.99528
[209]	train-mlogloss:0.98553	validation-mlogloss:0.99496
[210]	train-mlogloss:0.98511	validation-mlogloss:0.99463
[211]	train-mlogloss:0.98468	validation-mlogloss:0.99427
[212]	train-mlogloss:0.98416	validation-mlogloss:0.99394
[213]	train-mlogloss:0.98376	validation-mlogloss:0.99369
[214]	train-mlogloss:0.98325	validation-mlogloss:0.99346
[215]	train-mlogloss:0.98268	validation-mlogloss:0.99309
[216]	train-mlogloss:0.98214	validation-mlogloss:0.99258
[217]	train-mlogloss:0.98178	validation-mlogloss:0.99234
[218]	train-mlogloss:0.98130	validation-mlogloss:0.99201
[219]	train-mlogloss:0.98086	validation-mlogloss:0.99157
[220]	train-mlogloss:0.98052	validation-mlogloss:0.99135
[221]	train-mlogloss:0.97999	validation-mlogloss:0.99088
[222]	train-mlogloss:0.97958	validation-mlogloss:0.99052
[223]	train-mlogloss:0.97924	validation-mlogloss:0.99026
[224]	train-mlogloss:0.97880	validation-mlogloss:0.99004
[225]	train-mlogloss:0.97844	validation-mlogloss:0.98977
[226]	train-mlogloss:0.97801	validation-mlogloss:0.98933
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.34 [%]
Global accuracy score (test) = 58.71 [%]
Global F1 score (train) = 60.31 [%]
Global F1 score (test) = 58.77 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.38      0.40       400
MODERATE-INTENSITY       0.55      0.66      0.60       400
         SEDENTARY       0.65      0.71      0.68       400
VIGOROUS-INTENSITY       0.76      0.60      0.67       345

          accuracy                           0.59      1545
         macro avg       0.60      0.59      0.59      1545
      weighted avg       0.59      0.59      0.58      1545


Accuracy capturado en la ejecución 10: 58.71 [%]
F1-score capturado en la ejecución 10: 58.77 [%]

=== EJECUCIÓN 11 ===

--- TRAIN (ejecución 11) ---

--- TEST (ejecución 11) ---
2025-11-07 09:11:16.828787: 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 09:11:16.840626: 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 00:00:1762503076.854072 2302436 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503076.858038 2302436 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503076.867888 2302436 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503076.867907 2302436 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503076.867910 2302436 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503076.867912 2302436 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:11:16.870938: 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:1.38047	validation-mlogloss:1.38060
[1]	train-mlogloss:1.37492	validation-mlogloss:1.37518
[2]	train-mlogloss:1.36915	validation-mlogloss:1.36949
[3]	train-mlogloss:1.36379	validation-mlogloss:1.36409
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[5]	train-mlogloss:1.35270	validation-mlogloss:1.35313
[6]	train-mlogloss:1.34754	validation-mlogloss:1.34810
[7]	train-mlogloss:1.34226	validation-mlogloss:1.34289
[8]	train-mlogloss:1.33721	validation-mlogloss:1.33793
[9]	train-mlogloss:1.33206	validation-mlogloss:1.33292
[10]	train-mlogloss:1.32699	validation-mlogloss:1.32787
[11]	train-mlogloss:1.32203	validation-mlogloss:1.32287
[12]	train-mlogloss:1.31735	validation-mlogloss:1.31849
[13]	train-mlogloss:1.31244	validation-mlogloss:1.31359
[14]	train-mlogloss:1.30756	validation-mlogloss:1.30848
[15]	train-mlogloss:1.30324	validation-mlogloss:1.30400
[16]	train-mlogloss:1.29878	validation-mlogloss:1.29965
[17]	train-mlogloss:1.29413	validation-mlogloss:1.29498
[18]	train-mlogloss:1.28968	validation-mlogloss:1.29076
[19]	train-mlogloss:1.28518	validation-mlogloss:1.28610
[20]	train-mlogloss:1.28106	validation-mlogloss:1.28218
[21]	train-mlogloss:1.27677	validation-mlogloss:1.27811
[22]	train-mlogloss:1.27277	validation-mlogloss:1.27429
[23]	train-mlogloss:1.26859	validation-mlogloss:1.26988
[24]	train-mlogloss:1.26457	validation-mlogloss:1.26585
[25]	train-mlogloss:1.26069	validation-mlogloss:1.26205
[26]	train-mlogloss:1.25678	validation-mlogloss:1.25824
[27]	train-mlogloss:1.25280	validation-mlogloss:1.25426
[28]	train-mlogloss:1.24887	validation-mlogloss:1.25027
[29]	train-mlogloss:1.24511	validation-mlogloss:1.24675
[30]	train-mlogloss:1.24142	validation-mlogloss:1.24286
[31]	train-mlogloss:1.23770	validation-mlogloss:1.23912
[32]	train-mlogloss:1.23416	validation-mlogloss:1.23552
[33]	train-mlogloss:1.23068	validation-mlogloss:1.23191
[34]	train-mlogloss:1.22706	validation-mlogloss:1.22824
[35]	train-mlogloss:1.22349	validation-mlogloss:1.22452
[36]	train-mlogloss:1.22019	validation-mlogloss:1.22128
[37]	train-mlogloss:1.21691	validation-mlogloss:1.21809
[38]	train-mlogloss:1.21357	validation-mlogloss:1.21491
[39]	train-mlogloss:1.21005	validation-mlogloss:1.21132
[40]	train-mlogloss:1.20701	validation-mlogloss:1.20842
[41]	train-mlogloss:1.20377	validation-mlogloss:1.20508
[42]	train-mlogloss:1.20074	validation-mlogloss:1.20204
[43]	train-mlogloss:1.19777	validation-mlogloss:1.19906
[44]	train-mlogloss:1.19457	validation-mlogloss:1.19599
[45]	train-mlogloss:1.19159	validation-mlogloss:1.19323
[46]	train-mlogloss:1.18856	validation-mlogloss:1.19016
[47]	train-mlogloss:1.18590	validation-mlogloss:1.18773
[48]	train-mlogloss:1.18301	validation-mlogloss:1.18482
[49]	train-mlogloss:1.18003	validation-mlogloss:1.18185
[50]	train-mlogloss:1.17715	validation-mlogloss:1.17893
[51]	train-mlogloss:1.17445	validation-mlogloss:1.17629
[52]	train-mlogloss:1.17187	validation-mlogloss:1.17377
[53]	train-mlogloss:1.16945	validation-mlogloss:1.17141
[54]	train-mlogloss:1.16686	validation-mlogloss:1.16897
[55]	train-mlogloss:1.16430	validation-mlogloss:1.16642
[56]	train-mlogloss:1.16174	validation-mlogloss:1.16395
[57]	train-mlogloss:1.15925	validation-mlogloss:1.16169
[58]	train-mlogloss:1.15678	validation-mlogloss:1.15919
[59]	train-mlogloss:1.15427	validation-mlogloss:1.15705
[60]	train-mlogloss:1.15196	validation-mlogloss:1.15474
[61]	train-mlogloss:1.14955	validation-mlogloss:1.15247
[62]	train-mlogloss:1.14737	validation-mlogloss:1.15057
[63]	train-mlogloss:1.14507	validation-mlogloss:1.14826
[64]	train-mlogloss:1.14288	validation-mlogloss:1.14621
[65]	train-mlogloss:1.14073	validation-mlogloss:1.14395
[66]	train-mlogloss:1.13854	validation-mlogloss:1.14195
[67]	train-mlogloss:1.13625	validation-mlogloss:1.13969
[68]	train-mlogloss:1.13402	validation-mlogloss:1.13753
[69]	train-mlogloss:1.13185	validation-mlogloss:1.13529
[70]	train-mlogloss:1.12963	validation-mlogloss:1.13315
[71]	train-mlogloss:1.12750	validation-mlogloss:1.13109
[72]	train-mlogloss:1.12554	validation-mlogloss:1.12928
[73]	train-mlogloss:1.12351	validation-mlogloss:1.12752
[74]	train-mlogloss:1.12140	validation-mlogloss:1.12545
[75]	train-mlogloss:1.11956	validation-mlogloss:1.12369
[76]	train-mlogloss:1.11739	validation-mlogloss:1.12143
[77]	train-mlogloss:1.11540	validation-mlogloss:1.11955
[78]	train-mlogloss:1.11343	validation-mlogloss:1.11763
[79]	train-mlogloss:1.11152	validation-mlogloss:1.11573
[80]	train-mlogloss:1.10961	validation-mlogloss:1.11385
[81]	train-mlogloss:1.10758	validation-mlogloss:1.11189
[82]	train-mlogloss:1.10561	validation-mlogloss:1.10985
[83]	train-mlogloss:1.10371	validation-mlogloss:1.10787
[84]	train-mlogloss:1.10199	validation-mlogloss:1.10619
[85]	train-mlogloss:1.10038	validation-mlogloss:1.10470
[86]	train-mlogloss:1.09854	validation-mlogloss:1.10281
[87]	train-mlogloss:1.09692	validation-mlogloss:1.10130
[88]	train-mlogloss:1.09530	validation-mlogloss:1.09997
[89]	train-mlogloss:1.09375	validation-mlogloss:1.09863
[90]	train-mlogloss:1.09193	validation-mlogloss:1.09680
[91]	train-mlogloss:1.09010	validation-mlogloss:1.09519
[92]	train-mlogloss:1.08835	validation-mlogloss:1.09359
[93]	train-mlogloss:1.08663	validation-mlogloss:1.09197
[94]	train-mlogloss:1.08505	validation-mlogloss:1.09032
[95]	train-mlogloss:1.08363	validation-mlogloss:1.08918
[96]	train-mlogloss:1.08195	validation-mlogloss:1.08750
[97]	train-mlogloss:1.08048	validation-mlogloss:1.08594
[98]	train-mlogloss:1.07898	validation-mlogloss:1.08445
[99]	train-mlogloss:1.07735	validation-mlogloss:1.08279
[100]	train-mlogloss:1.07596	validation-mlogloss:1.08163
[101]	train-mlogloss:1.07458	validation-mlogloss:1.08024
[102]	train-mlogloss:1.07322	validation-mlogloss:1.07903
[103]	train-mlogloss:1.07167	validation-mlogloss:1.07745
[104]	train-mlogloss:1.07034	validation-mlogloss:1.07633
[105]	train-mlogloss:1.06893	validation-mlogloss:1.07484
[106]	train-mlogloss:1.06765	validation-mlogloss:1.07357
[107]	train-mlogloss:1.06629	validation-mlogloss:1.07249
[108]	train-mlogloss:1.06483	validation-mlogloss:1.07096
[109]	train-mlogloss:1.06355	validation-mlogloss:1.06981
[110]	train-mlogloss:1.06225	validation-mlogloss:1.06861
[111]	train-mlogloss:1.06101	validation-mlogloss:1.06746
[112]	train-mlogloss:1.05982	validation-mlogloss:1.06626
[113]	train-mlogloss:1.05852	validation-mlogloss:1.06496
[114]	train-mlogloss:1.05729	validation-mlogloss:1.06385
[115]	train-mlogloss:1.05609	validation-mlogloss:1.06270
[116]	train-mlogloss:1.05483	validation-mlogloss:1.06159
[117]	train-mlogloss:1.05361	validation-mlogloss:1.06044
[118]	train-mlogloss:1.05249	validation-mlogloss:1.05953
[119]	train-mlogloss:1.05141	validation-mlogloss:1.05862
[120]	train-mlogloss:1.05030	validation-mlogloss:1.05753
[121]	train-mlogloss:1.04910	validation-mlogloss:1.05648
[122]	train-mlogloss:1.04804	validation-mlogloss:1.05548
[123]	train-mlogloss:1.04687	validation-mlogloss:1.05442
[124]	train-mlogloss:1.04580	validation-mlogloss:1.05341
[125]	train-mlogloss:1.04476	validation-mlogloss:1.05241
[126]	train-mlogloss:1.04371	validation-mlogloss:1.05165
[127]	train-mlogloss:1.04258	validation-mlogloss:1.05070
[128]	train-mlogloss:1.04156	validation-mlogloss:1.04980
[129]	train-mlogloss:1.04048	validation-mlogloss:1.04893
[130]	train-mlogloss:1.03941	validation-mlogloss:1.04793
[131]	train-mlogloss:1.03842	validation-mlogloss:1.04696
[132]	train-mlogloss:1.03729	validation-mlogloss:1.04580
[133]	train-mlogloss:1.03638	validation-mlogloss:1.04498
[134]	train-mlogloss:1.03541	validation-mlogloss:1.04420
[135]	train-mlogloss:1.03452	validation-mlogloss:1.04345
[136]	train-mlogloss:1.03337	validation-mlogloss:1.04232
[137]	train-mlogloss:1.03241	validation-mlogloss:1.04153
[138]	train-mlogloss:1.03135	validation-mlogloss:1.04040
[139]	train-mlogloss:1.03032	validation-mlogloss:1.03945
[140]	train-mlogloss:1.02946	validation-mlogloss:1.03862
[141]	train-mlogloss:1.02854	validation-mlogloss:1.03790
[142]	train-mlogloss:1.02763	validation-mlogloss:1.03697
[143]	train-mlogloss:1.02661	validation-mlogloss:1.03612
[144]	train-mlogloss:1.02556	validation-mlogloss:1.03535
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[146]	train-mlogloss:1.02402	validation-mlogloss:1.03404
[147]	train-mlogloss:1.02316	validation-mlogloss:1.03344
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[149]	train-mlogloss:1.02145	validation-mlogloss:1.03175
[150]	train-mlogloss:1.02061	validation-mlogloss:1.03101
[151]	train-mlogloss:1.01976	validation-mlogloss:1.03029
[152]	train-mlogloss:1.01890	validation-mlogloss:1.02970
[153]	train-mlogloss:1.01811	validation-mlogloss:1.02904
[154]	train-mlogloss:1.01734	validation-mlogloss:1.02841
[155]	train-mlogloss:1.01649	validation-mlogloss:1.02754
[156]	train-mlogloss:1.01566	validation-mlogloss:1.02698
[157]	train-mlogloss:1.01483	validation-mlogloss:1.02624
[158]	train-mlogloss:1.01411	validation-mlogloss:1.02548
[159]	train-mlogloss:1.01343	validation-mlogloss:1.02486
[160]	train-mlogloss:1.01255	validation-mlogloss:1.02394
[161]	train-mlogloss:1.01180	validation-mlogloss:1.02326
[162]	train-mlogloss:1.01112	validation-mlogloss:1.02272
[163]	train-mlogloss:1.01045	validation-mlogloss:1.02207
[164]	train-mlogloss:1.00963	validation-mlogloss:1.02140
[165]	train-mlogloss:1.00895	validation-mlogloss:1.02069
[166]	train-mlogloss:1.00825	validation-mlogloss:1.02015
[167]	train-mlogloss:1.00757	validation-mlogloss:1.01966
[168]	train-mlogloss:1.00685	validation-mlogloss:1.01891
[169]	train-mlogloss:1.00618	validation-mlogloss:1.01858
[170]	train-mlogloss:1.00556	validation-mlogloss:1.01818
[171]	train-mlogloss:1.00483	validation-mlogloss:1.01751
[172]	train-mlogloss:1.00419	validation-mlogloss:1.01697
[173]	train-mlogloss:1.00355	validation-mlogloss:1.01644
[174]	train-mlogloss:1.00271	validation-mlogloss:1.01558
[175]	train-mlogloss:1.00217	validation-mlogloss:1.01532
[176]	train-mlogloss:1.00148	validation-mlogloss:1.01481
[177]	train-mlogloss:1.00082	validation-mlogloss:1.01428
[178]	train-mlogloss:1.00014	validation-mlogloss:1.01362
[179]	train-mlogloss:0.99939	validation-mlogloss:1.01300
[180]	train-mlogloss:0.99878	validation-mlogloss:1.01249
[181]	train-mlogloss:0.99803	validation-mlogloss:1.01186
[182]	train-mlogloss:0.99736	validation-mlogloss:1.01122
[183]	train-mlogloss:0.99675	validation-mlogloss:1.01060
[184]	train-mlogloss:0.99616	validation-mlogloss:1.01014
[185]	train-mlogloss:0.99563	validation-mlogloss:1.00951
[186]	train-mlogloss:0.99506	validation-mlogloss:1.00895
[187]	train-mlogloss:0.99451	validation-mlogloss:1.00848
[188]	train-mlogloss:0.99395	validation-mlogloss:1.00797
[189]	train-mlogloss:0.99344	validation-mlogloss:1.00762
[190]	train-mlogloss:0.99284	validation-mlogloss:1.00716
[191]	train-mlogloss:0.99220	validation-mlogloss:1.00659
[192]	train-mlogloss:0.99167	validation-mlogloss:1.00613
[193]	train-mlogloss:0.99106	validation-mlogloss:1.00554
[194]	train-mlogloss:0.99058	validation-mlogloss:1.00515
[195]	train-mlogloss:0.98982	validation-mlogloss:1.00460
[196]	train-mlogloss:0.98923	validation-mlogloss:1.00433
[197]	train-mlogloss:0.98872	validation-mlogloss:1.00403
[198]	train-mlogloss:0.98819	validation-mlogloss:1.00364
[199]	train-mlogloss:0.98780	validation-mlogloss:1.00333
[200]	train-mlogloss:0.98729	validation-mlogloss:1.00295
[201]	train-mlogloss:0.98660	validation-mlogloss:1.00250
[202]	train-mlogloss:0.98612	validation-mlogloss:1.00202
[203]	train-mlogloss:0.98566	validation-mlogloss:1.00174
[204]	train-mlogloss:0.98502	validation-mlogloss:1.00124
[205]	train-mlogloss:0.98452	validation-mlogloss:1.00092
[206]	train-mlogloss:0.98405	validation-mlogloss:1.00055
[207]	train-mlogloss:0.98360	validation-mlogloss:1.00021
[208]	train-mlogloss:0.98301	validation-mlogloss:0.99981
[209]	train-mlogloss:0.98260	validation-mlogloss:0.99955
[210]	train-mlogloss:0.98212	validation-mlogloss:0.99916
[211]	train-mlogloss:0.98176	validation-mlogloss:0.99881
[212]	train-mlogloss:0.98135	validation-mlogloss:0.99858
[213]	train-mlogloss:0.98096	validation-mlogloss:0.99836
[214]	train-mlogloss:0.98059	validation-mlogloss:0.99800
[215]	train-mlogloss:0.98011	validation-mlogloss:0.99755
[216]	train-mlogloss:0.97959	validation-mlogloss:0.99716
[217]	train-mlogloss:0.97900	validation-mlogloss:0.99664
[218]	train-mlogloss:0.97851	validation-mlogloss:0.99636
[219]	train-mlogloss:0.97803	validation-mlogloss:0.99605
[220]	train-mlogloss:0.97755	validation-mlogloss:0.99566
[221]	train-mlogloss:0.97707	validation-mlogloss:0.99531
[222]	train-mlogloss:0.97662	validation-mlogloss:0.99504
[223]	train-mlogloss:0.97614	validation-mlogloss:0.99457
[224]	train-mlogloss:0.97575	validation-mlogloss:0.99432
[225]	train-mlogloss:0.97522	validation-mlogloss:0.99386
[226]	train-mlogloss:0.97485	validation-mlogloss:0.99361
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.91 [%]
Global accuracy score (test) = 58.19 [%]
Global F1 score (train) = 60.03 [%]
Global F1 score (test) = 58.49 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.42      0.39      0.41       400
MODERATE-INTENSITY       0.53      0.67      0.59       400
         SEDENTARY       0.66      0.68      0.67       400
VIGOROUS-INTENSITY       0.78      0.59      0.67       345

          accuracy                           0.58      1545
         macro avg       0.60      0.58      0.58      1545
      weighted avg       0.59      0.58      0.58      1545


Accuracy capturado en la ejecución 11: 58.19 [%]
F1-score capturado en la ejecución 11: 58.49 [%]

=== EJECUCIÓN 12 ===

--- TRAIN (ejecución 12) ---

--- TEST (ejecución 12) ---
2025-11-07 09:11:27.739075: 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 09:11:27.750152: 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 00:00:1762503087.763418 2302676 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503087.767570 2302676 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503087.777581 2302676 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503087.777606 2302676 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503087.777609 2302676 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503087.777611 2302676 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:11:27.780909: 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:1.38037	validation-mlogloss:1.38007
[1]	train-mlogloss:1.37462	validation-mlogloss:1.37427
[2]	train-mlogloss:1.36896	validation-mlogloss:1.36838
[3]	train-mlogloss:1.36363	validation-mlogloss:1.36307
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[5]	train-mlogloss:1.35302	validation-mlogloss:1.35247
[6]	train-mlogloss:1.34740	validation-mlogloss:1.34665
[7]	train-mlogloss:1.34235	validation-mlogloss:1.34148
[8]	train-mlogloss:1.33727	validation-mlogloss:1.33629
[9]	train-mlogloss:1.33234	validation-mlogloss:1.33158
[10]	train-mlogloss:1.32764	validation-mlogloss:1.32697
[11]	train-mlogloss:1.32285	validation-mlogloss:1.32194
[12]	train-mlogloss:1.31799	validation-mlogloss:1.31690
[13]	train-mlogloss:1.31332	validation-mlogloss:1.31226
[14]	train-mlogloss:1.30891	validation-mlogloss:1.30778
[15]	train-mlogloss:1.30439	validation-mlogloss:1.30330
[16]	train-mlogloss:1.30001	validation-mlogloss:1.29871
[17]	train-mlogloss:1.29566	validation-mlogloss:1.29423
[18]	train-mlogloss:1.29131	validation-mlogloss:1.28968
[19]	train-mlogloss:1.28706	validation-mlogloss:1.28556
[20]	train-mlogloss:1.28264	validation-mlogloss:1.28119
[21]	train-mlogloss:1.27834	validation-mlogloss:1.27699
[22]	train-mlogloss:1.27418	validation-mlogloss:1.27274
[23]	train-mlogloss:1.27032	validation-mlogloss:1.26906
[24]	train-mlogloss:1.26650	validation-mlogloss:1.26530
[25]	train-mlogloss:1.26279	validation-mlogloss:1.26151
[26]	train-mlogloss:1.25922	validation-mlogloss:1.25807
[27]	train-mlogloss:1.25564	validation-mlogloss:1.25475
[28]	train-mlogloss:1.25194	validation-mlogloss:1.25102
[29]	train-mlogloss:1.24853	validation-mlogloss:1.24774
[30]	train-mlogloss:1.24504	validation-mlogloss:1.24450
[31]	train-mlogloss:1.24149	validation-mlogloss:1.24109
[32]	train-mlogloss:1.23794	validation-mlogloss:1.23748
[33]	train-mlogloss:1.23453	validation-mlogloss:1.23402
[34]	train-mlogloss:1.23117	validation-mlogloss:1.23055
[35]	train-mlogloss:1.22776	validation-mlogloss:1.22717
[36]	train-mlogloss:1.22458	validation-mlogloss:1.22402
[37]	train-mlogloss:1.22166	validation-mlogloss:1.22101
[38]	train-mlogloss:1.21852	validation-mlogloss:1.21798
[39]	train-mlogloss:1.21548	validation-mlogloss:1.21492
[40]	train-mlogloss:1.21229	validation-mlogloss:1.21171
[41]	train-mlogloss:1.20941	validation-mlogloss:1.20887
[42]	train-mlogloss:1.20642	validation-mlogloss:1.20589
[43]	train-mlogloss:1.20342	validation-mlogloss:1.20287
[44]	train-mlogloss:1.20056	validation-mlogloss:1.20019
[45]	train-mlogloss:1.19763	validation-mlogloss:1.19733
[46]	train-mlogloss:1.19488	validation-mlogloss:1.19460
[47]	train-mlogloss:1.19205	validation-mlogloss:1.19170
[48]	train-mlogloss:1.18912	validation-mlogloss:1.18875
[49]	train-mlogloss:1.18660	validation-mlogloss:1.18605
[50]	train-mlogloss:1.18394	validation-mlogloss:1.18350
[51]	train-mlogloss:1.18103	validation-mlogloss:1.18062
[52]	train-mlogloss:1.17845	validation-mlogloss:1.17816
[53]	train-mlogloss:1.17591	validation-mlogloss:1.17553
[54]	train-mlogloss:1.17344	validation-mlogloss:1.17299
[55]	train-mlogloss:1.17100	validation-mlogloss:1.17061
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[112]	train-mlogloss:1.06775	validation-mlogloss:1.06898
[113]	train-mlogloss:1.06648	validation-mlogloss:1.06772
[114]	train-mlogloss:1.06532	validation-mlogloss:1.06659
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[119]	train-mlogloss:1.05939	validation-mlogloss:1.06087
[120]	train-mlogloss:1.05829	validation-mlogloss:1.05991
[121]	train-mlogloss:1.05702	validation-mlogloss:1.05866
[122]	train-mlogloss:1.05592	validation-mlogloss:1.05752
[123]	train-mlogloss:1.05482	validation-mlogloss:1.05631
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[127]	train-mlogloss:1.05069	validation-mlogloss:1.05263
[128]	train-mlogloss:1.04972	validation-mlogloss:1.05173
[129]	train-mlogloss:1.04880	validation-mlogloss:1.05096
[130]	train-mlogloss:1.04767	validation-mlogloss:1.04982
[131]	train-mlogloss:1.04656	validation-mlogloss:1.04876
[132]	train-mlogloss:1.04547	validation-mlogloss:1.04771
[133]	train-mlogloss:1.04449	validation-mlogloss:1.04684
[134]	train-mlogloss:1.04353	validation-mlogloss:1.04597
[135]	train-mlogloss:1.04257	validation-mlogloss:1.04501
[136]	train-mlogloss:1.04165	validation-mlogloss:1.04424
[137]	train-mlogloss:1.04075	validation-mlogloss:1.04345
[138]	train-mlogloss:1.03959	validation-mlogloss:1.04250
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[149]	train-mlogloss:1.02939	validation-mlogloss:1.03322
[150]	train-mlogloss:1.02851	validation-mlogloss:1.03250
[151]	train-mlogloss:1.02767	validation-mlogloss:1.03178
[152]	train-mlogloss:1.02674	validation-mlogloss:1.03101
[153]	train-mlogloss:1.02578	validation-mlogloss:1.03026
[154]	train-mlogloss:1.02503	validation-mlogloss:1.02953
[155]	train-mlogloss:1.02423	validation-mlogloss:1.02883
[156]	train-mlogloss:1.02337	validation-mlogloss:1.02811
[157]	train-mlogloss:1.02241	validation-mlogloss:1.02729
[158]	train-mlogloss:1.02180	validation-mlogloss:1.02673
[159]	train-mlogloss:1.02094	validation-mlogloss:1.02586
[160]	train-mlogloss:1.02008	validation-mlogloss:1.02508
[161]	train-mlogloss:1.01940	validation-mlogloss:1.02437
[162]	train-mlogloss:1.01868	validation-mlogloss:1.02369
[163]	train-mlogloss:1.01792	validation-mlogloss:1.02323
[164]	train-mlogloss:1.01714	validation-mlogloss:1.02248
[165]	train-mlogloss:1.01636	validation-mlogloss:1.02175
[166]	train-mlogloss:1.01576	validation-mlogloss:1.02129
[167]	train-mlogloss:1.01496	validation-mlogloss:1.02062
[168]	train-mlogloss:1.01434	validation-mlogloss:1.02012
[169]	train-mlogloss:1.01370	validation-mlogloss:1.01974
[170]	train-mlogloss:1.01299	validation-mlogloss:1.01913
[171]	train-mlogloss:1.01237	validation-mlogloss:1.01876
[172]	train-mlogloss:1.01167	validation-mlogloss:1.01823
[173]	train-mlogloss:1.01090	validation-mlogloss:1.01768
[174]	train-mlogloss:1.01024	validation-mlogloss:1.01703
[175]	train-mlogloss:1.00942	validation-mlogloss:1.01649
[176]	train-mlogloss:1.00876	validation-mlogloss:1.01591
[177]	train-mlogloss:1.00801	validation-mlogloss:1.01535
[178]	train-mlogloss:1.00728	validation-mlogloss:1.01475
[179]	train-mlogloss:1.00659	validation-mlogloss:1.01409
[180]	train-mlogloss:1.00599	validation-mlogloss:1.01345
[181]	train-mlogloss:1.00538	validation-mlogloss:1.01276
[182]	train-mlogloss:1.00478	validation-mlogloss:1.01225
[183]	train-mlogloss:1.00430	validation-mlogloss:1.01196
[184]	train-mlogloss:1.00356	validation-mlogloss:1.01139
[185]	train-mlogloss:1.00301	validation-mlogloss:1.01088
[186]	train-mlogloss:1.00245	validation-mlogloss:1.01048
[187]	train-mlogloss:1.00200	validation-mlogloss:1.01011
[188]	train-mlogloss:1.00151	validation-mlogloss:1.00979
[189]	train-mlogloss:1.00104	validation-mlogloss:1.00929
[190]	train-mlogloss:1.00059	validation-mlogloss:1.00897
[191]	train-mlogloss:1.00014	validation-mlogloss:1.00865
[192]	train-mlogloss:0.99959	validation-mlogloss:1.00832
[193]	train-mlogloss:0.99904	validation-mlogloss:1.00779
[194]	train-mlogloss:0.99833	validation-mlogloss:1.00736
[195]	train-mlogloss:0.99787	validation-mlogloss:1.00703
[196]	train-mlogloss:0.99717	validation-mlogloss:1.00634
[197]	train-mlogloss:0.99666	validation-mlogloss:1.00593
[198]	train-mlogloss:0.99615	validation-mlogloss:1.00558
[199]	train-mlogloss:0.99556	validation-mlogloss:1.00514
[200]	train-mlogloss:0.99503	validation-mlogloss:1.00473
[201]	train-mlogloss:0.99448	validation-mlogloss:1.00427
[202]	train-mlogloss:0.99396	validation-mlogloss:1.00384
[203]	train-mlogloss:0.99354	validation-mlogloss:1.00353
[204]	train-mlogloss:0.99296	validation-mlogloss:1.00295
[205]	train-mlogloss:0.99240	validation-mlogloss:1.00246
[206]	train-mlogloss:0.99187	validation-mlogloss:1.00204
[207]	train-mlogloss:0.99137	validation-mlogloss:1.00176
[208]	train-mlogloss:0.99089	validation-mlogloss:1.00139
[209]	train-mlogloss:0.99037	validation-mlogloss:1.00093
[210]	train-mlogloss:0.98973	validation-mlogloss:1.00043
[211]	train-mlogloss:0.98936	validation-mlogloss:1.00020
[212]	train-mlogloss:0.98896	validation-mlogloss:0.99982
[213]	train-mlogloss:0.98851	validation-mlogloss:0.99951
[214]	train-mlogloss:0.98801	validation-mlogloss:0.99915
[215]	train-mlogloss:0.98755	validation-mlogloss:0.99875
[216]	train-mlogloss:0.98718	validation-mlogloss:0.99848
[217]	train-mlogloss:0.98680	validation-mlogloss:0.99823
[218]	train-mlogloss:0.98642	validation-mlogloss:0.99789
[219]	train-mlogloss:0.98594	validation-mlogloss:0.99761
[220]	train-mlogloss:0.98549	validation-mlogloss:0.99731
[221]	train-mlogloss:0.98512	validation-mlogloss:0.99705
[222]	train-mlogloss:0.98477	validation-mlogloss:0.99681
[223]	train-mlogloss:0.98427	validation-mlogloss:0.99652
[224]	train-mlogloss:0.98386	validation-mlogloss:0.99618
[225]	train-mlogloss:0.98345	validation-mlogloss:0.99588
[226]	train-mlogloss:0.98311	validation-mlogloss:0.99576
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[1 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.67 [%]
Global accuracy score (test) = 60.32 [%]
Global F1 score (train) = 59.66 [%]
Global F1 score (test) = 60.52 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.46      0.42      0.44       400
MODERATE-INTENSITY       0.57      0.67      0.62       400
         SEDENTARY       0.64      0.72      0.68       400
VIGOROUS-INTENSITY       0.81      0.60      0.69       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.61      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 12: 60.32 [%]
F1-score capturado en la ejecución 12: 60.52 [%]

=== EJECUCIÓN 13 ===

--- TRAIN (ejecución 13) ---

--- TEST (ejecución 13) ---
2025-11-07 09:11:38.660657: 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 09:11:38.672139: 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 00:00:1762503098.685061 2302924 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503098.689056 2302924 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503098.698983 2302924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503098.699001 2302924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503098.699003 2302924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503098.699005 2302924 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:11:38.702046: 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:1.38061	validation-mlogloss:1.38044
[1]	train-mlogloss:1.37517	validation-mlogloss:1.37470
[2]	train-mlogloss:1.36985	validation-mlogloss:1.36906
[3]	train-mlogloss:1.36422	validation-mlogloss:1.36359
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[122]	train-mlogloss:1.05217	validation-mlogloss:1.05440
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[125]	train-mlogloss:1.04886	validation-mlogloss:1.05113
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[151]	train-mlogloss:1.02314	validation-mlogloss:1.02780
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[153]	train-mlogloss:1.02146	validation-mlogloss:1.02650
[154]	train-mlogloss:1.02065	validation-mlogloss:1.02576
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[156]	train-mlogloss:1.01909	validation-mlogloss:1.02434
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[158]	train-mlogloss:1.01769	validation-mlogloss:1.02311
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[160]	train-mlogloss:1.01592	validation-mlogloss:1.02163
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[164]	train-mlogloss:1.01313	validation-mlogloss:1.01950
[165]	train-mlogloss:1.01236	validation-mlogloss:1.01887
[166]	train-mlogloss:1.01161	validation-mlogloss:1.01829
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[169]	train-mlogloss:1.00936	validation-mlogloss:1.01657
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[171]	train-mlogloss:1.00796	validation-mlogloss:1.01528
[172]	train-mlogloss:1.00731	validation-mlogloss:1.01473
[173]	train-mlogloss:1.00654	validation-mlogloss:1.01409
[174]	train-mlogloss:1.00581	validation-mlogloss:1.01346
[175]	train-mlogloss:1.00515	validation-mlogloss:1.01312
[176]	train-mlogloss:1.00463	validation-mlogloss:1.01259
[177]	train-mlogloss:1.00395	validation-mlogloss:1.01192
[178]	train-mlogloss:1.00326	validation-mlogloss:1.01126
[179]	train-mlogloss:1.00264	validation-mlogloss:1.01078
[180]	train-mlogloss:1.00192	validation-mlogloss:1.01007
[181]	train-mlogloss:1.00143	validation-mlogloss:1.00954
[182]	train-mlogloss:1.00079	validation-mlogloss:1.00904
[183]	train-mlogloss:1.00018	validation-mlogloss:1.00858
[184]	train-mlogloss:0.99950	validation-mlogloss:1.00822
[185]	train-mlogloss:0.99886	validation-mlogloss:1.00762
[186]	train-mlogloss:0.99830	validation-mlogloss:1.00714
[187]	train-mlogloss:0.99784	validation-mlogloss:1.00698
[188]	train-mlogloss:0.99728	validation-mlogloss:1.00642
[189]	train-mlogloss:0.99672	validation-mlogloss:1.00596
[190]	train-mlogloss:0.99607	validation-mlogloss:1.00545
[191]	train-mlogloss:0.99555	validation-mlogloss:1.00502
[192]	train-mlogloss:0.99501	validation-mlogloss:1.00465
[193]	train-mlogloss:0.99443	validation-mlogloss:1.00415
[194]	train-mlogloss:0.99389	validation-mlogloss:1.00376
[195]	train-mlogloss:0.99348	validation-mlogloss:1.00353
[196]	train-mlogloss:0.99287	validation-mlogloss:1.00302
[197]	train-mlogloss:0.99231	validation-mlogloss:1.00260
[198]	train-mlogloss:0.99171	validation-mlogloss:1.00232
[199]	train-mlogloss:0.99120	validation-mlogloss:1.00191
[200]	train-mlogloss:0.99073	validation-mlogloss:1.00154
[201]	train-mlogloss:0.99017	validation-mlogloss:1.00100
[202]	train-mlogloss:0.98958	validation-mlogloss:1.00065
[203]	train-mlogloss:0.98897	validation-mlogloss:1.00030
[204]	train-mlogloss:0.98839	validation-mlogloss:0.99988
[205]	train-mlogloss:0.98786	validation-mlogloss:0.99953
[206]	train-mlogloss:0.98734	validation-mlogloss:0.99902
[207]	train-mlogloss:0.98694	validation-mlogloss:0.99877
[208]	train-mlogloss:0.98652	validation-mlogloss:0.99835
[209]	train-mlogloss:0.98605	validation-mlogloss:0.99801
[210]	train-mlogloss:0.98564	validation-mlogloss:0.99786
[211]	train-mlogloss:0.98522	validation-mlogloss:0.99749
[212]	train-mlogloss:0.98476	validation-mlogloss:0.99724
[213]	train-mlogloss:0.98439	validation-mlogloss:0.99705
[214]	train-mlogloss:0.98395	validation-mlogloss:0.99672
[215]	train-mlogloss:0.98356	validation-mlogloss:0.99642
[216]	train-mlogloss:0.98310	validation-mlogloss:0.99611
[217]	train-mlogloss:0.98277	validation-mlogloss:0.99586
[218]	train-mlogloss:0.98232	validation-mlogloss:0.99555
[219]	train-mlogloss:0.98182	validation-mlogloss:0.99518
[220]	train-mlogloss:0.98146	validation-mlogloss:0.99507
[221]	train-mlogloss:0.98114	validation-mlogloss:0.99479
[222]	train-mlogloss:0.98076	validation-mlogloss:0.99462
[223]	train-mlogloss:0.98037	validation-mlogloss:0.99448
[224]	train-mlogloss:0.97992	validation-mlogloss:0.99397
[225]	train-mlogloss:0.97956	validation-mlogloss:0.99367
[226]	train-mlogloss:0.97922	validation-mlogloss:0.99353
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 0 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.18 [%]
Global accuracy score (test) = 57.86 [%]
Global F1 score (train) = 60.25 [%]
Global F1 score (test) = 58.1 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.41      0.36      0.39       400
MODERATE-INTENSITY       0.53      0.66      0.58       400
         SEDENTARY       0.65      0.70      0.68       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.58      1545
         macro avg       0.60      0.58      0.58      1545
      weighted avg       0.59      0.58      0.58      1545


Accuracy capturado en la ejecución 13: 57.86 [%]
F1-score capturado en la ejecución 13: 58.1 [%]

=== EJECUCIÓN 14 ===

--- TRAIN (ejecución 14) ---

--- TEST (ejecución 14) ---
2025-11-07 09:11:49.613635: 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 09:11:49.624815: 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 00:00:1762503109.638040 2303172 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503109.642048 2303172 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503109.652152 2303172 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503109.652171 2303172 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503109.652173 2303172 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503109.652175 2303172 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:11:49.655419: 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:1.38075	validation-mlogloss:1.38097
[1]	train-mlogloss:1.37520	validation-mlogloss:1.37535
[2]	train-mlogloss:1.36948	validation-mlogloss:1.36939
[3]	train-mlogloss:1.36407	validation-mlogloss:1.36413
[4]	train-mlogloss:1.35852	validation-mlogloss:1.35843
[5]	train-mlogloss:1.35324	validation-mlogloss:1.35330
[6]	train-mlogloss:1.34806	validation-mlogloss:1.34809
[7]	train-mlogloss:1.34281	validation-mlogloss:1.34271
[8]	train-mlogloss:1.33784	validation-mlogloss:1.33790
[9]	train-mlogloss:1.33283	validation-mlogloss:1.33316
[10]	train-mlogloss:1.32802	validation-mlogloss:1.32830
[11]	train-mlogloss:1.32309	validation-mlogloss:1.32325
[12]	train-mlogloss:1.31812	validation-mlogloss:1.31813
[13]	train-mlogloss:1.31331	validation-mlogloss:1.31343
[14]	train-mlogloss:1.30868	validation-mlogloss:1.30885
[15]	train-mlogloss:1.30404	validation-mlogloss:1.30418
[16]	train-mlogloss:1.29939	validation-mlogloss:1.29955
[17]	train-mlogloss:1.29508	validation-mlogloss:1.29541
[18]	train-mlogloss:1.29074	validation-mlogloss:1.29114
[19]	train-mlogloss:1.28642	validation-mlogloss:1.28662
[20]	train-mlogloss:1.28235	validation-mlogloss:1.28233
[21]	train-mlogloss:1.27789	validation-mlogloss:1.27773
[22]	train-mlogloss:1.27389	validation-mlogloss:1.27385
[23]	train-mlogloss:1.26990	validation-mlogloss:1.26969
[24]	train-mlogloss:1.26586	validation-mlogloss:1.26556
[25]	train-mlogloss:1.26173	validation-mlogloss:1.26142
[26]	train-mlogloss:1.25801	validation-mlogloss:1.25785
[27]	train-mlogloss:1.25388	validation-mlogloss:1.25363
[28]	train-mlogloss:1.25024	validation-mlogloss:1.25002
[29]	train-mlogloss:1.24663	validation-mlogloss:1.24638
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[31]	train-mlogloss:1.23940	validation-mlogloss:1.23909
[32]	train-mlogloss:1.23588	validation-mlogloss:1.23571
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[34]	train-mlogloss:1.22865	validation-mlogloss:1.22859
[35]	train-mlogloss:1.22527	validation-mlogloss:1.22542
[36]	train-mlogloss:1.22197	validation-mlogloss:1.22219
[37]	train-mlogloss:1.21872	validation-mlogloss:1.21893
[38]	train-mlogloss:1.21539	validation-mlogloss:1.21545
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[40]	train-mlogloss:1.20904	validation-mlogloss:1.20913
[41]	train-mlogloss:1.20571	validation-mlogloss:1.20583
[42]	train-mlogloss:1.20240	validation-mlogloss:1.20270
[43]	train-mlogloss:1.19930	validation-mlogloss:1.19959
[44]	train-mlogloss:1.19621	validation-mlogloss:1.19651
[45]	train-mlogloss:1.19319	validation-mlogloss:1.19366
[46]	train-mlogloss:1.19033	validation-mlogloss:1.19081
[47]	train-mlogloss:1.18768	validation-mlogloss:1.18819
[48]	train-mlogloss:1.18484	validation-mlogloss:1.18521
[49]	train-mlogloss:1.18200	validation-mlogloss:1.18224
[50]	train-mlogloss:1.17914	validation-mlogloss:1.17951
[51]	train-mlogloss:1.17643	validation-mlogloss:1.17677
[52]	train-mlogloss:1.17355	validation-mlogloss:1.17411
[53]	train-mlogloss:1.17095	validation-mlogloss:1.17173
[54]	train-mlogloss:1.16844	validation-mlogloss:1.16924
[55]	train-mlogloss:1.16582	validation-mlogloss:1.16673
[56]	train-mlogloss:1.16325	validation-mlogloss:1.16420
[57]	train-mlogloss:1.16087	validation-mlogloss:1.16215
[58]	train-mlogloss:1.15834	validation-mlogloss:1.15954
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[60]	train-mlogloss:1.15345	validation-mlogloss:1.15519
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[64]	train-mlogloss:1.14433	validation-mlogloss:1.14608
[65]	train-mlogloss:1.14212	validation-mlogloss:1.14398
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[67]	train-mlogloss:1.13775	validation-mlogloss:1.13965
[68]	train-mlogloss:1.13565	validation-mlogloss:1.13772
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[71]	train-mlogloss:1.12918	validation-mlogloss:1.13160
[72]	train-mlogloss:1.12703	validation-mlogloss:1.12959
[73]	train-mlogloss:1.12497	validation-mlogloss:1.12754
[74]	train-mlogloss:1.12310	validation-mlogloss:1.12593
[75]	train-mlogloss:1.12113	validation-mlogloss:1.12399
[76]	train-mlogloss:1.11919	validation-mlogloss:1.12222
[77]	train-mlogloss:1.11732	validation-mlogloss:1.12064
[78]	train-mlogloss:1.11519	validation-mlogloss:1.11850
[79]	train-mlogloss:1.11308	validation-mlogloss:1.11642
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[83]	train-mlogloss:1.10591	validation-mlogloss:1.10947
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[85]	train-mlogloss:1.10210	validation-mlogloss:1.10568
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[88]	train-mlogloss:1.09683	validation-mlogloss:1.10051
[89]	train-mlogloss:1.09516	validation-mlogloss:1.09905
[90]	train-mlogloss:1.09352	validation-mlogloss:1.09748
[91]	train-mlogloss:1.09179	validation-mlogloss:1.09571
[92]	train-mlogloss:1.09016	validation-mlogloss:1.09420
[93]	train-mlogloss:1.08840	validation-mlogloss:1.09252
[94]	train-mlogloss:1.08672	validation-mlogloss:1.09079
[95]	train-mlogloss:1.08516	validation-mlogloss:1.08926
[96]	train-mlogloss:1.08358	validation-mlogloss:1.08763
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[99]	train-mlogloss:1.07912	validation-mlogloss:1.08346
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[102]	train-mlogloss:1.07478	validation-mlogloss:1.07944
[103]	train-mlogloss:1.07327	validation-mlogloss:1.07794
[104]	train-mlogloss:1.07188	validation-mlogloss:1.07669
[105]	train-mlogloss:1.07048	validation-mlogloss:1.07534
[106]	train-mlogloss:1.06916	validation-mlogloss:1.07425
[107]	train-mlogloss:1.06790	validation-mlogloss:1.07324
[108]	train-mlogloss:1.06640	validation-mlogloss:1.07183
[109]	train-mlogloss:1.06509	validation-mlogloss:1.07063
[110]	train-mlogloss:1.06376	validation-mlogloss:1.06939
[111]	train-mlogloss:1.06245	validation-mlogloss:1.06813
[112]	train-mlogloss:1.06107	validation-mlogloss:1.06684
[113]	train-mlogloss:1.05963	validation-mlogloss:1.06534
[114]	train-mlogloss:1.05842	validation-mlogloss:1.06431
[115]	train-mlogloss:1.05728	validation-mlogloss:1.06326
[116]	train-mlogloss:1.05597	validation-mlogloss:1.06206
[117]	train-mlogloss:1.05480	validation-mlogloss:1.06110
[118]	train-mlogloss:1.05364	validation-mlogloss:1.06001
[119]	train-mlogloss:1.05233	validation-mlogloss:1.05886
[120]	train-mlogloss:1.05108	validation-mlogloss:1.05773
[121]	train-mlogloss:1.04989	validation-mlogloss:1.05676
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[131]	train-mlogloss:1.03870	validation-mlogloss:1.04694
[132]	train-mlogloss:1.03762	validation-mlogloss:1.04599
[133]	train-mlogloss:1.03648	validation-mlogloss:1.04499
[134]	train-mlogloss:1.03552	validation-mlogloss:1.04409
[135]	train-mlogloss:1.03441	validation-mlogloss:1.04302
[136]	train-mlogloss:1.03331	validation-mlogloss:1.04201
[137]	train-mlogloss:1.03233	validation-mlogloss:1.04124
[138]	train-mlogloss:1.03122	validation-mlogloss:1.04026
[139]	train-mlogloss:1.03031	validation-mlogloss:1.03944
[140]	train-mlogloss:1.02923	validation-mlogloss:1.03853
[141]	train-mlogloss:1.02836	validation-mlogloss:1.03788
[142]	train-mlogloss:1.02746	validation-mlogloss:1.03706
[143]	train-mlogloss:1.02650	validation-mlogloss:1.03625
[144]	train-mlogloss:1.02565	validation-mlogloss:1.03574
[145]	train-mlogloss:1.02471	validation-mlogloss:1.03495
[146]	train-mlogloss:1.02362	validation-mlogloss:1.03391
[147]	train-mlogloss:1.02271	validation-mlogloss:1.03302
[148]	train-mlogloss:1.02183	validation-mlogloss:1.03216
[149]	train-mlogloss:1.02090	validation-mlogloss:1.03134
[150]	train-mlogloss:1.02008	validation-mlogloss:1.03056
[151]	train-mlogloss:1.01922	validation-mlogloss:1.02978
[152]	train-mlogloss:1.01838	validation-mlogloss:1.02900
[153]	train-mlogloss:1.01747	validation-mlogloss:1.02813
[154]	train-mlogloss:1.01658	validation-mlogloss:1.02739
[155]	train-mlogloss:1.01574	validation-mlogloss:1.02667
[156]	train-mlogloss:1.01491	validation-mlogloss:1.02594
[157]	train-mlogloss:1.01422	validation-mlogloss:1.02535
[158]	train-mlogloss:1.01345	validation-mlogloss:1.02468
[159]	train-mlogloss:1.01269	validation-mlogloss:1.02401
[160]	train-mlogloss:1.01185	validation-mlogloss:1.02329
[161]	train-mlogloss:1.01096	validation-mlogloss:1.02247
[162]	train-mlogloss:1.01012	validation-mlogloss:1.02176
[163]	train-mlogloss:1.00936	validation-mlogloss:1.02126
[164]	train-mlogloss:1.00866	validation-mlogloss:1.02087
[165]	train-mlogloss:1.00789	validation-mlogloss:1.02023
[166]	train-mlogloss:1.00722	validation-mlogloss:1.01962
[167]	train-mlogloss:1.00644	validation-mlogloss:1.01895
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[169]	train-mlogloss:1.00490	validation-mlogloss:1.01758
[170]	train-mlogloss:1.00426	validation-mlogloss:1.01706
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[172]	train-mlogloss:1.00300	validation-mlogloss:1.01602
[173]	train-mlogloss:1.00224	validation-mlogloss:1.01527
[174]	train-mlogloss:1.00154	validation-mlogloss:1.01464
[175]	train-mlogloss:1.00097	validation-mlogloss:1.01410
[176]	train-mlogloss:1.00031	validation-mlogloss:1.01363
[177]	train-mlogloss:0.99965	validation-mlogloss:1.01328
[178]	train-mlogloss:0.99880	validation-mlogloss:1.01264
[179]	train-mlogloss:0.99817	validation-mlogloss:1.01208
[180]	train-mlogloss:0.99753	validation-mlogloss:1.01158
[181]	train-mlogloss:0.99688	validation-mlogloss:1.01096
[182]	train-mlogloss:0.99624	validation-mlogloss:1.01060
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[191]	train-mlogloss:0.99086	validation-mlogloss:1.00612
[192]	train-mlogloss:0.99019	validation-mlogloss:1.00550
[193]	train-mlogloss:0.98971	validation-mlogloss:1.00518
[194]	train-mlogloss:0.98923	validation-mlogloss:1.00466
[195]	train-mlogloss:0.98861	validation-mlogloss:1.00426
[196]	train-mlogloss:0.98808	validation-mlogloss:1.00397
[197]	train-mlogloss:0.98751	validation-mlogloss:1.00342
[198]	train-mlogloss:0.98712	validation-mlogloss:1.00315
[199]	train-mlogloss:0.98657	validation-mlogloss:1.00287
[200]	train-mlogloss:0.98612	validation-mlogloss:1.00240
[201]	train-mlogloss:0.98564	validation-mlogloss:1.00193
[202]	train-mlogloss:0.98507	validation-mlogloss:1.00139
[203]	train-mlogloss:0.98445	validation-mlogloss:1.00100
[204]	train-mlogloss:0.98395	validation-mlogloss:1.00068
[205]	train-mlogloss:0.98344	validation-mlogloss:1.00020
[206]	train-mlogloss:0.98307	validation-mlogloss:1.00004
[207]	train-mlogloss:0.98258	validation-mlogloss:0.99970
[208]	train-mlogloss:0.98218	validation-mlogloss:0.99944
[209]	train-mlogloss:0.98174	validation-mlogloss:0.99916
[210]	train-mlogloss:0.98139	validation-mlogloss:0.99884
[211]	train-mlogloss:0.98099	validation-mlogloss:0.99856
[212]	train-mlogloss:0.98046	validation-mlogloss:0.99818
[213]	train-mlogloss:0.97994	validation-mlogloss:0.99768
[214]	train-mlogloss:0.97940	validation-mlogloss:0.99729
[215]	train-mlogloss:0.97907	validation-mlogloss:0.99697
[216]	train-mlogloss:0.97871	validation-mlogloss:0.99667
[217]	train-mlogloss:0.97825	validation-mlogloss:0.99620
[218]	train-mlogloss:0.97784	validation-mlogloss:0.99589
[219]	train-mlogloss:0.97736	validation-mlogloss:0.99564
[220]	train-mlogloss:0.97692	validation-mlogloss:0.99521
[221]	train-mlogloss:0.97651	validation-mlogloss:0.99487
[222]	train-mlogloss:0.97621	validation-mlogloss:0.99456
[223]	train-mlogloss:0.97586	validation-mlogloss:0.99426
[224]	train-mlogloss:0.97550	validation-mlogloss:0.99394
[225]	train-mlogloss:0.97500	validation-mlogloss:0.99365
[226]	train-mlogloss:0.97454	validation-mlogloss:0.99328
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)
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)
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This activity can't be balanced (in a downsampling way)
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)
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This activity can't be balanced (in a downsampling way)
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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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[0 2 1 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.89 [%]
Global accuracy score (test) = 59.94 [%]
Global F1 score (train) = 59.81 [%]
Global F1 score (test) = 60.36 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.46      0.43      0.45       400
MODERATE-INTENSITY       0.55      0.65      0.59       400
         SEDENTARY       0.64      0.72      0.68       400
VIGOROUS-INTENSITY       0.84      0.60      0.70       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 14: 59.94 [%]
F1-score capturado en la ejecución 14: 60.36 [%]

=== EJECUCIÓN 15 ===

--- TRAIN (ejecución 15) ---

--- TEST (ejecución 15) ---
2025-11-07 09:12:00.577246: 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 09:12:00.588477: 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 00:00:1762503120.601330 2303421 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503120.605470 2303421 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503120.615270 2303421 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503120.615289 2303421 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503120.615291 2303421 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503120.615293 2303421 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:00.618449: 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:1.38062	validation-mlogloss:1.38032
[1]	train-mlogloss:1.37521	validation-mlogloss:1.37495
[2]	train-mlogloss:1.36975	validation-mlogloss:1.36943
[3]	train-mlogloss:1.36422	validation-mlogloss:1.36390
[4]	train-mlogloss:1.35869	validation-mlogloss:1.35824
[5]	train-mlogloss:1.35339	validation-mlogloss:1.35286
[6]	train-mlogloss:1.34839	validation-mlogloss:1.34783
[7]	train-mlogloss:1.34319	validation-mlogloss:1.34244
[8]	train-mlogloss:1.33823	validation-mlogloss:1.33746
[9]	train-mlogloss:1.33330	validation-mlogloss:1.33250
[10]	train-mlogloss:1.32857	validation-mlogloss:1.32779
[11]	train-mlogloss:1.32376	validation-mlogloss:1.32289
[12]	train-mlogloss:1.31893	validation-mlogloss:1.31782
[13]	train-mlogloss:1.31407	validation-mlogloss:1.31288
[14]	train-mlogloss:1.30951	validation-mlogloss:1.30833
[15]	train-mlogloss:1.30499	validation-mlogloss:1.30381
[16]	train-mlogloss:1.30063	validation-mlogloss:1.29934
[17]	train-mlogloss:1.29649	validation-mlogloss:1.29524
[18]	train-mlogloss:1.29246	validation-mlogloss:1.29136
[19]	train-mlogloss:1.28829	validation-mlogloss:1.28701
[20]	train-mlogloss:1.28420	validation-mlogloss:1.28311
[21]	train-mlogloss:1.28003	validation-mlogloss:1.27877
[22]	train-mlogloss:1.27617	validation-mlogloss:1.27492
[23]	train-mlogloss:1.27263	validation-mlogloss:1.27128
[24]	train-mlogloss:1.26875	validation-mlogloss:1.26749
[25]	train-mlogloss:1.26475	validation-mlogloss:1.26308
[26]	train-mlogloss:1.26098	validation-mlogloss:1.25930
[27]	train-mlogloss:1.25755	validation-mlogloss:1.25584
[28]	train-mlogloss:1.25380	validation-mlogloss:1.25222
[29]	train-mlogloss:1.25003	validation-mlogloss:1.24849
[30]	train-mlogloss:1.24646	validation-mlogloss:1.24499
[31]	train-mlogloss:1.24296	validation-mlogloss:1.24152
[32]	train-mlogloss:1.23960	validation-mlogloss:1.23813
[33]	train-mlogloss:1.23639	validation-mlogloss:1.23481
[34]	train-mlogloss:1.23303	validation-mlogloss:1.23145
[35]	train-mlogloss:1.22987	validation-mlogloss:1.22850
[36]	train-mlogloss:1.22668	validation-mlogloss:1.22557
[37]	train-mlogloss:1.22344	validation-mlogloss:1.22227
[38]	train-mlogloss:1.22015	validation-mlogloss:1.21900
[39]	train-mlogloss:1.21730	validation-mlogloss:1.21639
[40]	train-mlogloss:1.21426	validation-mlogloss:1.21323
[41]	train-mlogloss:1.21095	validation-mlogloss:1.20991
[42]	train-mlogloss:1.20801	validation-mlogloss:1.20696
[43]	train-mlogloss:1.20497	validation-mlogloss:1.20398
[44]	train-mlogloss:1.20204	validation-mlogloss:1.20093
[45]	train-mlogloss:1.19916	validation-mlogloss:1.19824
[46]	train-mlogloss:1.19633	validation-mlogloss:1.19543
[47]	train-mlogloss:1.19364	validation-mlogloss:1.19261
[48]	train-mlogloss:1.19103	validation-mlogloss:1.19020
[49]	train-mlogloss:1.18825	validation-mlogloss:1.18742
[50]	train-mlogloss:1.18565	validation-mlogloss:1.18483
[51]	train-mlogloss:1.18309	validation-mlogloss:1.18233
[52]	train-mlogloss:1.18047	validation-mlogloss:1.17988
[53]	train-mlogloss:1.17786	validation-mlogloss:1.17725
[54]	train-mlogloss:1.17538	validation-mlogloss:1.17472
[55]	train-mlogloss:1.17287	validation-mlogloss:1.17206
[56]	train-mlogloss:1.17032	validation-mlogloss:1.16934
[57]	train-mlogloss:1.16761	validation-mlogloss:1.16656
[58]	train-mlogloss:1.16518	validation-mlogloss:1.16414
[59]	train-mlogloss:1.16255	validation-mlogloss:1.16155
[60]	train-mlogloss:1.16023	validation-mlogloss:1.15930
[61]	train-mlogloss:1.15774	validation-mlogloss:1.15683
[62]	train-mlogloss:1.15542	validation-mlogloss:1.15464
[63]	train-mlogloss:1.15326	validation-mlogloss:1.15257
[64]	train-mlogloss:1.15105	validation-mlogloss:1.15052
[65]	train-mlogloss:1.14889	validation-mlogloss:1.14850
[66]	train-mlogloss:1.14677	validation-mlogloss:1.14653
[67]	train-mlogloss:1.14473	validation-mlogloss:1.14450
[68]	train-mlogloss:1.14254	validation-mlogloss:1.14235
[69]	train-mlogloss:1.14022	validation-mlogloss:1.13998
[70]	train-mlogloss:1.13823	validation-mlogloss:1.13804
[71]	train-mlogloss:1.13620	validation-mlogloss:1.13596
[72]	train-mlogloss:1.13410	validation-mlogloss:1.13379
[73]	train-mlogloss:1.13214	validation-mlogloss:1.13204
[74]	train-mlogloss:1.13002	validation-mlogloss:1.12983
[75]	train-mlogloss:1.12800	validation-mlogloss:1.12786
[76]	train-mlogloss:1.12608	validation-mlogloss:1.12600
[77]	train-mlogloss:1.12422	validation-mlogloss:1.12427
[78]	train-mlogloss:1.12239	validation-mlogloss:1.12235
[79]	train-mlogloss:1.12040	validation-mlogloss:1.12031
[80]	train-mlogloss:1.11860	validation-mlogloss:1.11858
[81]	train-mlogloss:1.11670	validation-mlogloss:1.11663
[82]	train-mlogloss:1.11499	validation-mlogloss:1.11496
[83]	train-mlogloss:1.11331	validation-mlogloss:1.11347
[84]	train-mlogloss:1.11161	validation-mlogloss:1.11191
[85]	train-mlogloss:1.10988	validation-mlogloss:1.11008
[86]	train-mlogloss:1.10815	validation-mlogloss:1.10853
[87]	train-mlogloss:1.10648	validation-mlogloss:1.10698
[88]	train-mlogloss:1.10477	validation-mlogloss:1.10522
[89]	train-mlogloss:1.10296	validation-mlogloss:1.10330
[90]	train-mlogloss:1.10131	validation-mlogloss:1.10158
[91]	train-mlogloss:1.09968	validation-mlogloss:1.10015
[92]	train-mlogloss:1.09817	validation-mlogloss:1.09876
[93]	train-mlogloss:1.09668	validation-mlogloss:1.09734
[94]	train-mlogloss:1.09504	validation-mlogloss:1.09585
[95]	train-mlogloss:1.09325	validation-mlogloss:1.09426
[96]	train-mlogloss:1.09174	validation-mlogloss:1.09275
[97]	train-mlogloss:1.09026	validation-mlogloss:1.09139
[98]	train-mlogloss:1.08881	validation-mlogloss:1.09007
[99]	train-mlogloss:1.08736	validation-mlogloss:1.08857
[100]	train-mlogloss:1.08578	validation-mlogloss:1.08715
[101]	train-mlogloss:1.08421	validation-mlogloss:1.08557
[102]	train-mlogloss:1.08283	validation-mlogloss:1.08445
[103]	train-mlogloss:1.08119	validation-mlogloss:1.08275
[104]	train-mlogloss:1.07968	validation-mlogloss:1.08146
[105]	train-mlogloss:1.07819	validation-mlogloss:1.07989
[106]	train-mlogloss:1.07681	validation-mlogloss:1.07849
[107]	train-mlogloss:1.07553	validation-mlogloss:1.07732
[108]	train-mlogloss:1.07419	validation-mlogloss:1.07605
[109]	train-mlogloss:1.07280	validation-mlogloss:1.07485
[110]	train-mlogloss:1.07139	validation-mlogloss:1.07363
[111]	train-mlogloss:1.07003	validation-mlogloss:1.07244
[112]	train-mlogloss:1.06880	validation-mlogloss:1.07118
[113]	train-mlogloss:1.06762	validation-mlogloss:1.07016
[114]	train-mlogloss:1.06649	validation-mlogloss:1.06903
[115]	train-mlogloss:1.06518	validation-mlogloss:1.06770
[116]	train-mlogloss:1.06384	validation-mlogloss:1.06648
[117]	train-mlogloss:1.06261	validation-mlogloss:1.06519
[118]	train-mlogloss:1.06135	validation-mlogloss:1.06398
[119]	train-mlogloss:1.06024	validation-mlogloss:1.06292
[120]	train-mlogloss:1.05895	validation-mlogloss:1.06166
[121]	train-mlogloss:1.05778	validation-mlogloss:1.06061
[122]	train-mlogloss:1.05676	validation-mlogloss:1.05975
[123]	train-mlogloss:1.05572	validation-mlogloss:1.05874
[124]	train-mlogloss:1.05450	validation-mlogloss:1.05759
[125]	train-mlogloss:1.05337	validation-mlogloss:1.05641
[126]	train-mlogloss:1.05212	validation-mlogloss:1.05521
[127]	train-mlogloss:1.05111	validation-mlogloss:1.05435
[128]	train-mlogloss:1.04995	validation-mlogloss:1.05337
[129]	train-mlogloss:1.04889	validation-mlogloss:1.05244
[130]	train-mlogloss:1.04776	validation-mlogloss:1.05144
[131]	train-mlogloss:1.04675	validation-mlogloss:1.05049
[132]	train-mlogloss:1.04570	validation-mlogloss:1.04960
[133]	train-mlogloss:1.04468	validation-mlogloss:1.04876
[134]	train-mlogloss:1.04370	validation-mlogloss:1.04800
[135]	train-mlogloss:1.04267	validation-mlogloss:1.04710
[136]	train-mlogloss:1.04172	validation-mlogloss:1.04621
[137]	train-mlogloss:1.04086	validation-mlogloss:1.04552
[138]	train-mlogloss:1.03982	validation-mlogloss:1.04456
[139]	train-mlogloss:1.03886	validation-mlogloss:1.04377
[140]	train-mlogloss:1.03797	validation-mlogloss:1.04311
[141]	train-mlogloss:1.03708	validation-mlogloss:1.04239
[142]	train-mlogloss:1.03612	validation-mlogloss:1.04147
[143]	train-mlogloss:1.03528	validation-mlogloss:1.04082
[144]	train-mlogloss:1.03432	validation-mlogloss:1.03992
[145]	train-mlogloss:1.03356	validation-mlogloss:1.03914
[146]	train-mlogloss:1.03266	validation-mlogloss:1.03831
[147]	train-mlogloss:1.03163	validation-mlogloss:1.03739
[148]	train-mlogloss:1.03070	validation-mlogloss:1.03645
[149]	train-mlogloss:1.02979	validation-mlogloss:1.03579
[150]	train-mlogloss:1.02897	validation-mlogloss:1.03515
[151]	train-mlogloss:1.02808	validation-mlogloss:1.03421
[152]	train-mlogloss:1.02717	validation-mlogloss:1.03342
[153]	train-mlogloss:1.02633	validation-mlogloss:1.03276
[154]	train-mlogloss:1.02545	validation-mlogloss:1.03209
[155]	train-mlogloss:1.02469	validation-mlogloss:1.03139
[156]	train-mlogloss:1.02390	validation-mlogloss:1.03089
[157]	train-mlogloss:1.02316	validation-mlogloss:1.03024
[158]	train-mlogloss:1.02236	validation-mlogloss:1.02947
[159]	train-mlogloss:1.02154	validation-mlogloss:1.02860
[160]	train-mlogloss:1.02077	validation-mlogloss:1.02796
[161]	train-mlogloss:1.01992	validation-mlogloss:1.02715
[162]	train-mlogloss:1.01932	validation-mlogloss:1.02685
[163]	train-mlogloss:1.01859	validation-mlogloss:1.02628
[164]	train-mlogloss:1.01787	validation-mlogloss:1.02565
[165]	train-mlogloss:1.01719	validation-mlogloss:1.02508
[166]	train-mlogloss:1.01643	validation-mlogloss:1.02454
[167]	train-mlogloss:1.01570	validation-mlogloss:1.02406
[168]	train-mlogloss:1.01497	validation-mlogloss:1.02349
[169]	train-mlogloss:1.01428	validation-mlogloss:1.02284
[170]	train-mlogloss:1.01359	validation-mlogloss:1.02230
[171]	train-mlogloss:1.01291	validation-mlogloss:1.02179
[172]	train-mlogloss:1.01230	validation-mlogloss:1.02132
[173]	train-mlogloss:1.01157	validation-mlogloss:1.02065
[174]	train-mlogloss:1.01090	validation-mlogloss:1.02006
[175]	train-mlogloss:1.01022	validation-mlogloss:1.01979
[176]	train-mlogloss:1.00949	validation-mlogloss:1.01917
[177]	train-mlogloss:1.00886	validation-mlogloss:1.01879
[178]	train-mlogloss:1.00819	validation-mlogloss:1.01816
[179]	train-mlogloss:1.00757	validation-mlogloss:1.01751
[180]	train-mlogloss:1.00692	validation-mlogloss:1.01686
[181]	train-mlogloss:1.00621	validation-mlogloss:1.01634
[182]	train-mlogloss:1.00568	validation-mlogloss:1.01593
[183]	train-mlogloss:1.00511	validation-mlogloss:1.01564
[184]	train-mlogloss:1.00462	validation-mlogloss:1.01547
[185]	train-mlogloss:1.00404	validation-mlogloss:1.01511
[186]	train-mlogloss:1.00345	validation-mlogloss:1.01460
[187]	train-mlogloss:1.00286	validation-mlogloss:1.01411
[188]	train-mlogloss:1.00232	validation-mlogloss:1.01384
[189]	train-mlogloss:1.00173	validation-mlogloss:1.01345
[190]	train-mlogloss:1.00113	validation-mlogloss:1.01293
[191]	train-mlogloss:1.00061	validation-mlogloss:1.01245
[192]	train-mlogloss:0.99996	validation-mlogloss:1.01200
[193]	train-mlogloss:0.99938	validation-mlogloss:1.01167
[194]	train-mlogloss:0.99883	validation-mlogloss:1.01120
[195]	train-mlogloss:0.99830	validation-mlogloss:1.01088
[196]	train-mlogloss:0.99784	validation-mlogloss:1.01058
[197]	train-mlogloss:0.99734	validation-mlogloss:1.01020
[198]	train-mlogloss:0.99682	validation-mlogloss:1.00972
[199]	train-mlogloss:0.99619	validation-mlogloss:1.00929
[200]	train-mlogloss:0.99559	validation-mlogloss:1.00876
[201]	train-mlogloss:0.99512	validation-mlogloss:1.00827
[202]	train-mlogloss:0.99461	validation-mlogloss:1.00808
[203]	train-mlogloss:0.99416	validation-mlogloss:1.00779
[204]	train-mlogloss:0.99350	validation-mlogloss:1.00720
[205]	train-mlogloss:0.99302	validation-mlogloss:1.00671
[206]	train-mlogloss:0.99255	validation-mlogloss:1.00638
[207]	train-mlogloss:0.99212	validation-mlogloss:1.00604
[208]	train-mlogloss:0.99164	validation-mlogloss:1.00566
[209]	train-mlogloss:0.99115	validation-mlogloss:1.00540
[210]	train-mlogloss:0.99075	validation-mlogloss:1.00514
[211]	train-mlogloss:0.99036	validation-mlogloss:1.00479
[212]	train-mlogloss:0.98989	validation-mlogloss:1.00428
[213]	train-mlogloss:0.98949	validation-mlogloss:1.00396
[214]	train-mlogloss:0.98898	validation-mlogloss:1.00364
[215]	train-mlogloss:0.98860	validation-mlogloss:1.00325
[216]	train-mlogloss:0.98814	validation-mlogloss:1.00287
[217]	train-mlogloss:0.98773	validation-mlogloss:1.00272
[218]	train-mlogloss:0.98729	validation-mlogloss:1.00244
[219]	train-mlogloss:0.98684	validation-mlogloss:1.00213
[220]	train-mlogloss:0.98653	validation-mlogloss:1.00194
[221]	train-mlogloss:0.98609	validation-mlogloss:1.00173
[222]	train-mlogloss:0.98560	validation-mlogloss:1.00148
[223]	train-mlogloss:0.98513	validation-mlogloss:1.00132
[224]	train-mlogloss:0.98470	validation-mlogloss:1.00106
[225]	train-mlogloss:0.98430	validation-mlogloss:1.00057
[226]	train-mlogloss:0.98386	validation-mlogloss:1.00005
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.41 [%]
Global accuracy score (test) = 60.13 [%]
Global F1 score (train) = 60.29 [%]
Global F1 score (test) = 60.17 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.46      0.41      0.43       400
MODERATE-INTENSITY       0.55      0.68      0.61       400
         SEDENTARY       0.66      0.73      0.69       400
VIGOROUS-INTENSITY       0.79      0.59      0.67       345

          accuracy                           0.60      1545
         macro avg       0.61      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 15: 60.13 [%]
F1-score capturado en la ejecución 15: 60.17 [%]

=== EJECUCIÓN 16 ===

--- TRAIN (ejecución 16) ---

--- TEST (ejecución 16) ---
2025-11-07 09:12:11.529137: 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 09:12:11.540455: 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 00:00:1762503131.553567 2303690 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503131.557576 2303690 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503131.567386 2303690 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503131.567403 2303690 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503131.567405 2303690 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503131.567406 2303690 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:11.570512: 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:1.38048	validation-mlogloss:1.38028
[1]	train-mlogloss:1.37470	validation-mlogloss:1.37412
[2]	train-mlogloss:1.36895	validation-mlogloss:1.36797
[3]	train-mlogloss:1.36340	validation-mlogloss:1.36214
[4]	train-mlogloss:1.35805	validation-mlogloss:1.35678
[5]	train-mlogloss:1.35289	validation-mlogloss:1.35182
[6]	train-mlogloss:1.34774	validation-mlogloss:1.34651
[7]	train-mlogloss:1.34243	validation-mlogloss:1.34073
[8]	train-mlogloss:1.33756	validation-mlogloss:1.33603
[9]	train-mlogloss:1.33263	validation-mlogloss:1.33076
[10]	train-mlogloss:1.32781	validation-mlogloss:1.32570
[11]	train-mlogloss:1.32304	validation-mlogloss:1.32071
[12]	train-mlogloss:1.31810	validation-mlogloss:1.31560
[13]	train-mlogloss:1.31323	validation-mlogloss:1.31040
[14]	train-mlogloss:1.30843	validation-mlogloss:1.30528
[15]	train-mlogloss:1.30398	validation-mlogloss:1.30093
[16]	train-mlogloss:1.29962	validation-mlogloss:1.29655
[17]	train-mlogloss:1.29542	validation-mlogloss:1.29225
[18]	train-mlogloss:1.29122	validation-mlogloss:1.28785
[19]	train-mlogloss:1.28692	validation-mlogloss:1.28334
[20]	train-mlogloss:1.28285	validation-mlogloss:1.27932
[21]	train-mlogloss:1.27862	validation-mlogloss:1.27517
[22]	train-mlogloss:1.27433	validation-mlogloss:1.27073
[23]	train-mlogloss:1.27016	validation-mlogloss:1.26661
[24]	train-mlogloss:1.26623	validation-mlogloss:1.26245
[25]	train-mlogloss:1.26238	validation-mlogloss:1.25826
[26]	train-mlogloss:1.25854	validation-mlogloss:1.25428
[27]	train-mlogloss:1.25485	validation-mlogloss:1.25056
[28]	train-mlogloss:1.25127	validation-mlogloss:1.24689
[29]	train-mlogloss:1.24738	validation-mlogloss:1.24292
[30]	train-mlogloss:1.24395	validation-mlogloss:1.23965
[31]	train-mlogloss:1.24061	validation-mlogloss:1.23605
[32]	train-mlogloss:1.23716	validation-mlogloss:1.23250
[33]	train-mlogloss:1.23349	validation-mlogloss:1.22883
[34]	train-mlogloss:1.23006	validation-mlogloss:1.22531
[35]	train-mlogloss:1.22688	validation-mlogloss:1.22217
[36]	train-mlogloss:1.22346	validation-mlogloss:1.21855
[37]	train-mlogloss:1.22034	validation-mlogloss:1.21560
[38]	train-mlogloss:1.21685	validation-mlogloss:1.21208
[39]	train-mlogloss:1.21379	validation-mlogloss:1.20918
[40]	train-mlogloss:1.21072	validation-mlogloss:1.20601
[41]	train-mlogloss:1.20748	validation-mlogloss:1.20273
[42]	train-mlogloss:1.20467	validation-mlogloss:1.19998
[43]	train-mlogloss:1.20169	validation-mlogloss:1.19686
[44]	train-mlogloss:1.19892	validation-mlogloss:1.19404
[45]	train-mlogloss:1.19610	validation-mlogloss:1.19121
[46]	train-mlogloss:1.19329	validation-mlogloss:1.18831
[47]	train-mlogloss:1.19055	validation-mlogloss:1.18537
[48]	train-mlogloss:1.18776	validation-mlogloss:1.18254
[49]	train-mlogloss:1.18501	validation-mlogloss:1.17984
[50]	train-mlogloss:1.18228	validation-mlogloss:1.17731
[51]	train-mlogloss:1.17958	validation-mlogloss:1.17452
[52]	train-mlogloss:1.17688	validation-mlogloss:1.17153
[53]	train-mlogloss:1.17439	validation-mlogloss:1.16907
[54]	train-mlogloss:1.17187	validation-mlogloss:1.16668
[55]	train-mlogloss:1.16922	validation-mlogloss:1.16415
[56]	train-mlogloss:1.16677	validation-mlogloss:1.16175
[57]	train-mlogloss:1.16433	validation-mlogloss:1.15921
[58]	train-mlogloss:1.16202	validation-mlogloss:1.15689
[59]	train-mlogloss:1.15963	validation-mlogloss:1.15437
[60]	train-mlogloss:1.15733	validation-mlogloss:1.15232
[61]	train-mlogloss:1.15518	validation-mlogloss:1.15030
[62]	train-mlogloss:1.15299	validation-mlogloss:1.14822
[63]	train-mlogloss:1.15075	validation-mlogloss:1.14580
[64]	train-mlogloss:1.14852	validation-mlogloss:1.14347
[65]	train-mlogloss:1.14643	validation-mlogloss:1.14138
[66]	train-mlogloss:1.14434	validation-mlogloss:1.13957
[67]	train-mlogloss:1.14190	validation-mlogloss:1.13722
[68]	train-mlogloss:1.13960	validation-mlogloss:1.13488
[69]	train-mlogloss:1.13763	validation-mlogloss:1.13298
[70]	train-mlogloss:1.13569	validation-mlogloss:1.13100
[71]	train-mlogloss:1.13361	validation-mlogloss:1.12913
[72]	train-mlogloss:1.13160	validation-mlogloss:1.12698
[73]	train-mlogloss:1.12959	validation-mlogloss:1.12511
[74]	train-mlogloss:1.12767	validation-mlogloss:1.12312
[75]	train-mlogloss:1.12588	validation-mlogloss:1.12144
[76]	train-mlogloss:1.12395	validation-mlogloss:1.11952
[77]	train-mlogloss:1.12225	validation-mlogloss:1.11798
[78]	train-mlogloss:1.12044	validation-mlogloss:1.11632
[79]	train-mlogloss:1.11844	validation-mlogloss:1.11420
[80]	train-mlogloss:1.11658	validation-mlogloss:1.11236
[81]	train-mlogloss:1.11490	validation-mlogloss:1.11084
[82]	train-mlogloss:1.11322	validation-mlogloss:1.10919
[83]	train-mlogloss:1.11126	validation-mlogloss:1.10718
[84]	train-mlogloss:1.10952	validation-mlogloss:1.10546
[85]	train-mlogloss:1.10781	validation-mlogloss:1.10375
[86]	train-mlogloss:1.10613	validation-mlogloss:1.10205
[87]	train-mlogloss:1.10444	validation-mlogloss:1.10041
[88]	train-mlogloss:1.10262	validation-mlogloss:1.09873
[89]	train-mlogloss:1.10089	validation-mlogloss:1.09705
[90]	train-mlogloss:1.09929	validation-mlogloss:1.09550
[91]	train-mlogloss:1.09765	validation-mlogloss:1.09370
[92]	train-mlogloss:1.09596	validation-mlogloss:1.09212
[93]	train-mlogloss:1.09444	validation-mlogloss:1.09053
[94]	train-mlogloss:1.09275	validation-mlogloss:1.08875
[95]	train-mlogloss:1.09126	validation-mlogloss:1.08722
[96]	train-mlogloss:1.08961	validation-mlogloss:1.08563
[97]	train-mlogloss:1.08815	validation-mlogloss:1.08415
[98]	train-mlogloss:1.08672	validation-mlogloss:1.08293
[99]	train-mlogloss:1.08537	validation-mlogloss:1.08170
[100]	train-mlogloss:1.08387	validation-mlogloss:1.08025
[101]	train-mlogloss:1.08226	validation-mlogloss:1.07853
[102]	train-mlogloss:1.08077	validation-mlogloss:1.07703
[103]	train-mlogloss:1.07935	validation-mlogloss:1.07567
[104]	train-mlogloss:1.07793	validation-mlogloss:1.07442
[105]	train-mlogloss:1.07655	validation-mlogloss:1.07296
[106]	train-mlogloss:1.07523	validation-mlogloss:1.07176
[107]	train-mlogloss:1.07369	validation-mlogloss:1.07019
[108]	train-mlogloss:1.07216	validation-mlogloss:1.06859
[109]	train-mlogloss:1.07073	validation-mlogloss:1.06734
[110]	train-mlogloss:1.06943	validation-mlogloss:1.06600
[111]	train-mlogloss:1.06811	validation-mlogloss:1.06463
[112]	train-mlogloss:1.06688	validation-mlogloss:1.06334
[113]	train-mlogloss:1.06548	validation-mlogloss:1.06197
[114]	train-mlogloss:1.06426	validation-mlogloss:1.06083
[115]	train-mlogloss:1.06295	validation-mlogloss:1.05952
[116]	train-mlogloss:1.06179	validation-mlogloss:1.05851
[117]	train-mlogloss:1.06066	validation-mlogloss:1.05739
[118]	train-mlogloss:1.05940	validation-mlogloss:1.05629
[119]	train-mlogloss:1.05827	validation-mlogloss:1.05503
[120]	train-mlogloss:1.05711	validation-mlogloss:1.05392
[121]	train-mlogloss:1.05605	validation-mlogloss:1.05293
[122]	train-mlogloss:1.05497	validation-mlogloss:1.05185
[123]	train-mlogloss:1.05370	validation-mlogloss:1.05067
[124]	train-mlogloss:1.05248	validation-mlogloss:1.04924
[125]	train-mlogloss:1.05142	validation-mlogloss:1.04819
[126]	train-mlogloss:1.05032	validation-mlogloss:1.04720
[127]	train-mlogloss:1.04933	validation-mlogloss:1.04621
[128]	train-mlogloss:1.04840	validation-mlogloss:1.04535
[129]	train-mlogloss:1.04749	validation-mlogloss:1.04450
[130]	train-mlogloss:1.04631	validation-mlogloss:1.04331
[131]	train-mlogloss:1.04534	validation-mlogloss:1.04255
[132]	train-mlogloss:1.04425	validation-mlogloss:1.04133
[133]	train-mlogloss:1.04321	validation-mlogloss:1.04045
[134]	train-mlogloss:1.04212	validation-mlogloss:1.03942
[135]	train-mlogloss:1.04110	validation-mlogloss:1.03848
[136]	train-mlogloss:1.04011	validation-mlogloss:1.03764
[137]	train-mlogloss:1.03914	validation-mlogloss:1.03667
[138]	train-mlogloss:1.03820	validation-mlogloss:1.03562
[139]	train-mlogloss:1.03711	validation-mlogloss:1.03460
[140]	train-mlogloss:1.03593	validation-mlogloss:1.03361
[141]	train-mlogloss:1.03482	validation-mlogloss:1.03264
[142]	train-mlogloss:1.03374	validation-mlogloss:1.03171
[143]	train-mlogloss:1.03280	validation-mlogloss:1.03085
[144]	train-mlogloss:1.03174	validation-mlogloss:1.02983
[145]	train-mlogloss:1.03079	validation-mlogloss:1.02909
[146]	train-mlogloss:1.02984	validation-mlogloss:1.02836
[147]	train-mlogloss:1.02903	validation-mlogloss:1.02774
[148]	train-mlogloss:1.02827	validation-mlogloss:1.02709
[149]	train-mlogloss:1.02748	validation-mlogloss:1.02654
[150]	train-mlogloss:1.02654	validation-mlogloss:1.02569
[151]	train-mlogloss:1.02562	validation-mlogloss:1.02483
[152]	train-mlogloss:1.02468	validation-mlogloss:1.02400
[153]	train-mlogloss:1.02392	validation-mlogloss:1.02321
[154]	train-mlogloss:1.02311	validation-mlogloss:1.02248
[155]	train-mlogloss:1.02232	validation-mlogloss:1.02164
[156]	train-mlogloss:1.02141	validation-mlogloss:1.02081
[157]	train-mlogloss:1.02052	validation-mlogloss:1.02006
[158]	train-mlogloss:1.01980	validation-mlogloss:1.01944
[159]	train-mlogloss:1.01908	validation-mlogloss:1.01884
[160]	train-mlogloss:1.01837	validation-mlogloss:1.01822
[161]	train-mlogloss:1.01762	validation-mlogloss:1.01761
[162]	train-mlogloss:1.01688	validation-mlogloss:1.01694
[163]	train-mlogloss:1.01604	validation-mlogloss:1.01606
[164]	train-mlogloss:1.01538	validation-mlogloss:1.01549
[165]	train-mlogloss:1.01466	validation-mlogloss:1.01480
[166]	train-mlogloss:1.01403	validation-mlogloss:1.01436
[167]	train-mlogloss:1.01336	validation-mlogloss:1.01401
[168]	train-mlogloss:1.01260	validation-mlogloss:1.01324
[169]	train-mlogloss:1.01191	validation-mlogloss:1.01250
[170]	train-mlogloss:1.01130	validation-mlogloss:1.01188
[171]	train-mlogloss:1.01063	validation-mlogloss:1.01114
[172]	train-mlogloss:1.00998	validation-mlogloss:1.01083
[173]	train-mlogloss:1.00919	validation-mlogloss:1.01000
[174]	train-mlogloss:1.00851	validation-mlogloss:1.00937
[175]	train-mlogloss:1.00784	validation-mlogloss:1.00865
[176]	train-mlogloss:1.00720	validation-mlogloss:1.00803
[177]	train-mlogloss:1.00654	validation-mlogloss:1.00758
[178]	train-mlogloss:1.00580	validation-mlogloss:1.00695
[179]	train-mlogloss:1.00516	validation-mlogloss:1.00629
[180]	train-mlogloss:1.00465	validation-mlogloss:1.00591
[181]	train-mlogloss:1.00404	validation-mlogloss:1.00539
[182]	train-mlogloss:1.00342	validation-mlogloss:1.00489
[183]	train-mlogloss:1.00277	validation-mlogloss:1.00434
[184]	train-mlogloss:1.00225	validation-mlogloss:1.00394
[185]	train-mlogloss:1.00166	validation-mlogloss:1.00350
[186]	train-mlogloss:1.00104	validation-mlogloss:1.00300
[187]	train-mlogloss:1.00037	validation-mlogloss:1.00242
[188]	train-mlogloss:0.99972	validation-mlogloss:1.00186
[189]	train-mlogloss:0.99916	validation-mlogloss:1.00157
[190]	train-mlogloss:0.99859	validation-mlogloss:1.00116
[191]	train-mlogloss:0.99809	validation-mlogloss:1.00076
[192]	train-mlogloss:0.99749	validation-mlogloss:1.00035
[193]	train-mlogloss:0.99690	validation-mlogloss:1.00009
[194]	train-mlogloss:0.99627	validation-mlogloss:0.99941
[195]	train-mlogloss:0.99584	validation-mlogloss:0.99897
[196]	train-mlogloss:0.99529	validation-mlogloss:0.99844
[197]	train-mlogloss:0.99482	validation-mlogloss:0.99804
[198]	train-mlogloss:0.99434	validation-mlogloss:0.99759
[199]	train-mlogloss:0.99370	validation-mlogloss:0.99707
[200]	train-mlogloss:0.99319	validation-mlogloss:0.99667
[201]	train-mlogloss:0.99252	validation-mlogloss:0.99610
[202]	train-mlogloss:0.99218	validation-mlogloss:0.99573
[203]	train-mlogloss:0.99165	validation-mlogloss:0.99532
[204]	train-mlogloss:0.99112	validation-mlogloss:0.99479
[205]	train-mlogloss:0.99066	validation-mlogloss:0.99446
[206]	train-mlogloss:0.99015	validation-mlogloss:0.99404
[207]	train-mlogloss:0.98953	validation-mlogloss:0.99341
[208]	train-mlogloss:0.98887	validation-mlogloss:0.99302
[209]	train-mlogloss:0.98828	validation-mlogloss:0.99260
[210]	train-mlogloss:0.98782	validation-mlogloss:0.99232
[211]	train-mlogloss:0.98741	validation-mlogloss:0.99192
[212]	train-mlogloss:0.98701	validation-mlogloss:0.99179
[213]	train-mlogloss:0.98645	validation-mlogloss:0.99132
[214]	train-mlogloss:0.98601	validation-mlogloss:0.99099
[215]	train-mlogloss:0.98556	validation-mlogloss:0.99066
[216]	train-mlogloss:0.98507	validation-mlogloss:0.99037
[217]	train-mlogloss:0.98462	validation-mlogloss:0.99008
[218]	train-mlogloss:0.98425	validation-mlogloss:0.98978
[219]	train-mlogloss:0.98372	validation-mlogloss:0.98930
[220]	train-mlogloss:0.98333	validation-mlogloss:0.98907
[221]	train-mlogloss:0.98282	validation-mlogloss:0.98859
[222]	train-mlogloss:0.98247	validation-mlogloss:0.98836
[223]	train-mlogloss:0.98204	validation-mlogloss:0.98805
[224]	train-mlogloss:0.98153	validation-mlogloss:0.98754
[225]	train-mlogloss:0.98101	validation-mlogloss:0.98703
[226]	train-mlogloss:0.98046	validation-mlogloss:0.98664
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[1 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.15 [%]
Global accuracy score (test) = 59.29 [%]
Global F1 score (train) = 60.16 [%]
Global F1 score (test) = 59.55 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.41      0.43       400
MODERATE-INTENSITY       0.55      0.67      0.60       400
         SEDENTARY       0.64      0.70      0.67       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.61      0.59      0.60      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 16: 59.29 [%]
F1-score capturado en la ejecución 16: 59.55 [%]

=== EJECUCIÓN 17 ===

--- TRAIN (ejecución 17) ---

--- TEST (ejecución 17) ---
2025-11-07 09:12:22.523663: 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 09:12:22.535054: 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 00:00:1762503142.548129 2303939 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503142.552156 2303939 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503142.562130 2303939 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503142.562149 2303939 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503142.562152 2303939 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503142.562153 2303939 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:22.565248: 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:1.38050	validation-mlogloss:1.38053
[1]	train-mlogloss:1.37476	validation-mlogloss:1.37445
[2]	train-mlogloss:1.36913	validation-mlogloss:1.36852
[3]	train-mlogloss:1.36381	validation-mlogloss:1.36325
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[5]	train-mlogloss:1.35302	validation-mlogloss:1.35223
[6]	train-mlogloss:1.34782	validation-mlogloss:1.34724
[7]	train-mlogloss:1.34267	validation-mlogloss:1.34218
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[9]	train-mlogloss:1.33273	validation-mlogloss:1.33228
[10]	train-mlogloss:1.32790	validation-mlogloss:1.32757
[11]	train-mlogloss:1.32280	validation-mlogloss:1.32225
[12]	train-mlogloss:1.31809	validation-mlogloss:1.31771
[13]	train-mlogloss:1.31325	validation-mlogloss:1.31267
[14]	train-mlogloss:1.30840	validation-mlogloss:1.30770
[15]	train-mlogloss:1.30391	validation-mlogloss:1.30304
[16]	train-mlogloss:1.29970	validation-mlogloss:1.29872
[17]	train-mlogloss:1.29539	validation-mlogloss:1.29440
[18]	train-mlogloss:1.29108	validation-mlogloss:1.29020
[19]	train-mlogloss:1.28640	validation-mlogloss:1.28543
[20]	train-mlogloss:1.28197	validation-mlogloss:1.28088
[21]	train-mlogloss:1.27788	validation-mlogloss:1.27689
[22]	train-mlogloss:1.27406	validation-mlogloss:1.27307
[23]	train-mlogloss:1.27024	validation-mlogloss:1.26938
[24]	train-mlogloss:1.26620	validation-mlogloss:1.26520
[25]	train-mlogloss:1.26249	validation-mlogloss:1.26159
[26]	train-mlogloss:1.25872	validation-mlogloss:1.25791
[27]	train-mlogloss:1.25490	validation-mlogloss:1.25441
[28]	train-mlogloss:1.25129	validation-mlogloss:1.25095
[29]	train-mlogloss:1.24772	validation-mlogloss:1.24739
[30]	train-mlogloss:1.24425	validation-mlogloss:1.24382
[31]	train-mlogloss:1.24093	validation-mlogloss:1.24048
[32]	train-mlogloss:1.23714	validation-mlogloss:1.23659
[33]	train-mlogloss:1.23368	validation-mlogloss:1.23308
[34]	train-mlogloss:1.23019	validation-mlogloss:1.22949
[35]	train-mlogloss:1.22682	validation-mlogloss:1.22605
[36]	train-mlogloss:1.22365	validation-mlogloss:1.22294
[37]	train-mlogloss:1.22063	validation-mlogloss:1.22005
[38]	train-mlogloss:1.21751	validation-mlogloss:1.21689
[39]	train-mlogloss:1.21410	validation-mlogloss:1.21354
[40]	train-mlogloss:1.21099	validation-mlogloss:1.21029
[41]	train-mlogloss:1.20779	validation-mlogloss:1.20682
[42]	train-mlogloss:1.20492	validation-mlogloss:1.20407
[43]	train-mlogloss:1.20208	validation-mlogloss:1.20118
[44]	train-mlogloss:1.19907	validation-mlogloss:1.19823
[45]	train-mlogloss:1.19611	validation-mlogloss:1.19544
[46]	train-mlogloss:1.19343	validation-mlogloss:1.19282
[47]	train-mlogloss:1.19062	validation-mlogloss:1.18993
[48]	train-mlogloss:1.18800	validation-mlogloss:1.18721
[49]	train-mlogloss:1.18527	validation-mlogloss:1.18443
[50]	train-mlogloss:1.18265	validation-mlogloss:1.18179
[51]	train-mlogloss:1.17985	validation-mlogloss:1.17904
[52]	train-mlogloss:1.17718	validation-mlogloss:1.17623
[53]	train-mlogloss:1.17465	validation-mlogloss:1.17390
[54]	train-mlogloss:1.17211	validation-mlogloss:1.17132
[55]	train-mlogloss:1.16961	validation-mlogloss:1.16883
[56]	train-mlogloss:1.16726	validation-mlogloss:1.16663
[57]	train-mlogloss:1.16452	validation-mlogloss:1.16399
[58]	train-mlogloss:1.16210	validation-mlogloss:1.16156
[59]	train-mlogloss:1.15963	validation-mlogloss:1.15915
[60]	train-mlogloss:1.15717	validation-mlogloss:1.15670
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[63]	train-mlogloss:1.15021	validation-mlogloss:1.14985
[64]	train-mlogloss:1.14791	validation-mlogloss:1.14752
[65]	train-mlogloss:1.14573	validation-mlogloss:1.14555
[66]	train-mlogloss:1.14349	validation-mlogloss:1.14339
[67]	train-mlogloss:1.14155	validation-mlogloss:1.14144
[68]	train-mlogloss:1.13954	validation-mlogloss:1.13948
[69]	train-mlogloss:1.13749	validation-mlogloss:1.13749
[70]	train-mlogloss:1.13548	validation-mlogloss:1.13570
[71]	train-mlogloss:1.13350	validation-mlogloss:1.13372
[72]	train-mlogloss:1.13141	validation-mlogloss:1.13172
[73]	train-mlogloss:1.12927	validation-mlogloss:1.12964
[74]	train-mlogloss:1.12734	validation-mlogloss:1.12798
[75]	train-mlogloss:1.12521	validation-mlogloss:1.12588
[76]	train-mlogloss:1.12334	validation-mlogloss:1.12406
[77]	train-mlogloss:1.12142	validation-mlogloss:1.12208
[78]	train-mlogloss:1.11957	validation-mlogloss:1.12031
[79]	train-mlogloss:1.11776	validation-mlogloss:1.11859
[80]	train-mlogloss:1.11593	validation-mlogloss:1.11665
[81]	train-mlogloss:1.11416	validation-mlogloss:1.11506
[82]	train-mlogloss:1.11213	validation-mlogloss:1.11292
[83]	train-mlogloss:1.11043	validation-mlogloss:1.11117
[84]	train-mlogloss:1.10874	validation-mlogloss:1.10953
[85]	train-mlogloss:1.10687	validation-mlogloss:1.10776
[86]	train-mlogloss:1.10498	validation-mlogloss:1.10591
[87]	train-mlogloss:1.10312	validation-mlogloss:1.10422
[88]	train-mlogloss:1.10132	validation-mlogloss:1.10244
[89]	train-mlogloss:1.09950	validation-mlogloss:1.10054
[90]	train-mlogloss:1.09807	validation-mlogloss:1.09942
[91]	train-mlogloss:1.09645	validation-mlogloss:1.09790
[92]	train-mlogloss:1.09502	validation-mlogloss:1.09647
[93]	train-mlogloss:1.09338	validation-mlogloss:1.09485
[94]	train-mlogloss:1.09176	validation-mlogloss:1.09334
[95]	train-mlogloss:1.09024	validation-mlogloss:1.09183
[96]	train-mlogloss:1.08865	validation-mlogloss:1.09035
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[107]	train-mlogloss:1.07255	validation-mlogloss:1.07569
[108]	train-mlogloss:1.07108	validation-mlogloss:1.07426
[109]	train-mlogloss:1.06971	validation-mlogloss:1.07302
[110]	train-mlogloss:1.06837	validation-mlogloss:1.07179
[111]	train-mlogloss:1.06710	validation-mlogloss:1.07054
[112]	train-mlogloss:1.06571	validation-mlogloss:1.06914
[113]	train-mlogloss:1.06441	validation-mlogloss:1.06782
[114]	train-mlogloss:1.06326	validation-mlogloss:1.06676
[115]	train-mlogloss:1.06204	validation-mlogloss:1.06559
[116]	train-mlogloss:1.06074	validation-mlogloss:1.06416
[117]	train-mlogloss:1.05951	validation-mlogloss:1.06304
[118]	train-mlogloss:1.05840	validation-mlogloss:1.06230
[119]	train-mlogloss:1.05718	validation-mlogloss:1.06128
[120]	train-mlogloss:1.05593	validation-mlogloss:1.06013
[121]	train-mlogloss:1.05475	validation-mlogloss:1.05895
[122]	train-mlogloss:1.05353	validation-mlogloss:1.05776
[123]	train-mlogloss:1.05237	validation-mlogloss:1.05661
[124]	train-mlogloss:1.05109	validation-mlogloss:1.05537
[125]	train-mlogloss:1.04996	validation-mlogloss:1.05432
[126]	train-mlogloss:1.04867	validation-mlogloss:1.05312
[127]	train-mlogloss:1.04764	validation-mlogloss:1.05223
[128]	train-mlogloss:1.04646	validation-mlogloss:1.05121
[129]	train-mlogloss:1.04538	validation-mlogloss:1.05029
[130]	train-mlogloss:1.04436	validation-mlogloss:1.04938
[131]	train-mlogloss:1.04330	validation-mlogloss:1.04842
[132]	train-mlogloss:1.04219	validation-mlogloss:1.04743
[133]	train-mlogloss:1.04123	validation-mlogloss:1.04658
[134]	train-mlogloss:1.04010	validation-mlogloss:1.04554
[135]	train-mlogloss:1.03908	validation-mlogloss:1.04467
[136]	train-mlogloss:1.03820	validation-mlogloss:1.04382
[137]	train-mlogloss:1.03726	validation-mlogloss:1.04320
[138]	train-mlogloss:1.03623	validation-mlogloss:1.04228
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[149]	train-mlogloss:1.02621	validation-mlogloss:1.03354
[150]	train-mlogloss:1.02543	validation-mlogloss:1.03275
[151]	train-mlogloss:1.02462	validation-mlogloss:1.03193
[152]	train-mlogloss:1.02383	validation-mlogloss:1.03118
[153]	train-mlogloss:1.02303	validation-mlogloss:1.03053
[154]	train-mlogloss:1.02213	validation-mlogloss:1.02984
[155]	train-mlogloss:1.02129	validation-mlogloss:1.02916
[156]	train-mlogloss:1.02040	validation-mlogloss:1.02834
[157]	train-mlogloss:1.01964	validation-mlogloss:1.02776
[158]	train-mlogloss:1.01887	validation-mlogloss:1.02702
[159]	train-mlogloss:1.01805	validation-mlogloss:1.02652
[160]	train-mlogloss:1.01730	validation-mlogloss:1.02579
[161]	train-mlogloss:1.01648	validation-mlogloss:1.02483
[162]	train-mlogloss:1.01555	validation-mlogloss:1.02411
[163]	train-mlogloss:1.01472	validation-mlogloss:1.02350
[164]	train-mlogloss:1.01404	validation-mlogloss:1.02295
[165]	train-mlogloss:1.01334	validation-mlogloss:1.02227
[166]	train-mlogloss:1.01265	validation-mlogloss:1.02172
[167]	train-mlogloss:1.01185	validation-mlogloss:1.02103
[168]	train-mlogloss:1.01115	validation-mlogloss:1.02044
[169]	train-mlogloss:1.01038	validation-mlogloss:1.01979
[170]	train-mlogloss:1.00963	validation-mlogloss:1.01916
[171]	train-mlogloss:1.00889	validation-mlogloss:1.01863
[172]	train-mlogloss:1.00815	validation-mlogloss:1.01772
[173]	train-mlogloss:1.00755	validation-mlogloss:1.01713
[174]	train-mlogloss:1.00694	validation-mlogloss:1.01658
[175]	train-mlogloss:1.00613	validation-mlogloss:1.01585
[176]	train-mlogloss:1.00546	validation-mlogloss:1.01510
[177]	train-mlogloss:1.00462	validation-mlogloss:1.01445
[178]	train-mlogloss:1.00397	validation-mlogloss:1.01398
[179]	train-mlogloss:1.00327	validation-mlogloss:1.01357
[180]	train-mlogloss:1.00255	validation-mlogloss:1.01298
[181]	train-mlogloss:1.00206	validation-mlogloss:1.01269
[182]	train-mlogloss:1.00151	validation-mlogloss:1.01241
[183]	train-mlogloss:1.00083	validation-mlogloss:1.01179
[184]	train-mlogloss:1.00029	validation-mlogloss:1.01138
[185]	train-mlogloss:0.99972	validation-mlogloss:1.01087
[186]	train-mlogloss:0.99913	validation-mlogloss:1.01028
[187]	train-mlogloss:0.99851	validation-mlogloss:1.00982
[188]	train-mlogloss:0.99787	validation-mlogloss:1.00934
[189]	train-mlogloss:0.99730	validation-mlogloss:1.00896
[190]	train-mlogloss:0.99679	validation-mlogloss:1.00851
[191]	train-mlogloss:0.99622	validation-mlogloss:1.00811
[192]	train-mlogloss:0.99571	validation-mlogloss:1.00783
[193]	train-mlogloss:0.99502	validation-mlogloss:1.00715
[194]	train-mlogloss:0.99446	validation-mlogloss:1.00686
[195]	train-mlogloss:0.99397	validation-mlogloss:1.00636
[196]	train-mlogloss:0.99353	validation-mlogloss:1.00595
[197]	train-mlogloss:0.99311	validation-mlogloss:1.00583
[198]	train-mlogloss:0.99256	validation-mlogloss:1.00549
[199]	train-mlogloss:0.99201	validation-mlogloss:1.00505
[200]	train-mlogloss:0.99148	validation-mlogloss:1.00469
[201]	train-mlogloss:0.99092	validation-mlogloss:1.00443
[202]	train-mlogloss:0.99037	validation-mlogloss:1.00387
[203]	train-mlogloss:0.98989	validation-mlogloss:1.00340
[204]	train-mlogloss:0.98941	validation-mlogloss:1.00321
[205]	train-mlogloss:0.98885	validation-mlogloss:1.00266
[206]	train-mlogloss:0.98841	validation-mlogloss:1.00233
[207]	train-mlogloss:0.98798	validation-mlogloss:1.00192
[208]	train-mlogloss:0.98749	validation-mlogloss:1.00170
[209]	train-mlogloss:0.98695	validation-mlogloss:1.00115
[210]	train-mlogloss:0.98654	validation-mlogloss:1.00093
[211]	train-mlogloss:0.98601	validation-mlogloss:1.00054
[212]	train-mlogloss:0.98560	validation-mlogloss:1.00019
[213]	train-mlogloss:0.98511	validation-mlogloss:0.99987
[214]	train-mlogloss:0.98462	validation-mlogloss:0.99958
[215]	train-mlogloss:0.98416	validation-mlogloss:0.99906
[216]	train-mlogloss:0.98363	validation-mlogloss:0.99862
[217]	train-mlogloss:0.98326	validation-mlogloss:0.99826
[218]	train-mlogloss:0.98274	validation-mlogloss:0.99783
[219]	train-mlogloss:0.98235	validation-mlogloss:0.99762
[220]	train-mlogloss:0.98196	validation-mlogloss:0.99743
[221]	train-mlogloss:0.98158	validation-mlogloss:0.99707
[222]	train-mlogloss:0.98119	validation-mlogloss:0.99682
[223]	train-mlogloss:0.98080	validation-mlogloss:0.99673
[224]	train-mlogloss:0.98038	validation-mlogloss:0.99644
[225]	train-mlogloss:0.97998	validation-mlogloss:0.99600
[226]	train-mlogloss:0.97962	validation-mlogloss:0.99560
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[1 2 0 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.4 [%]
Global accuracy score (test) = 60.0 [%]
Global F1 score (train) = 60.37 [%]
Global F1 score (test) = 60.16 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.40      0.42       400
MODERATE-INTENSITY       0.54      0.68      0.60       400
         SEDENTARY       0.67      0.73      0.70       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 17: 60.0 [%]
F1-score capturado en la ejecución 17: 60.16 [%]

=== EJECUCIÓN 18 ===

--- TRAIN (ejecución 18) ---

--- TEST (ejecución 18) ---
2025-11-07 09:12:33.776171: 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 09:12:33.787242: 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 00:00:1762503153.800221 2304185 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503153.804205 2304185 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503153.813912 2304185 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503153.813931 2304185 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503153.813933 2304185 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503153.813935 2304185 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:33.816858: 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:1.38059	validation-mlogloss:1.38028
[1]	train-mlogloss:1.37512	validation-mlogloss:1.37460
[2]	train-mlogloss:1.36979	validation-mlogloss:1.36901
[3]	train-mlogloss:1.36448	validation-mlogloss:1.36352
[4]	train-mlogloss:1.35898	validation-mlogloss:1.35776
[5]	train-mlogloss:1.35384	validation-mlogloss:1.35261
[6]	train-mlogloss:1.34866	validation-mlogloss:1.34720
[7]	train-mlogloss:1.34372	validation-mlogloss:1.34209
[8]	train-mlogloss:1.33871	validation-mlogloss:1.33696
[9]	train-mlogloss:1.33378	validation-mlogloss:1.33197
[10]	train-mlogloss:1.32902	validation-mlogloss:1.32700
[11]	train-mlogloss:1.32437	validation-mlogloss:1.32225
[12]	train-mlogloss:1.31957	validation-mlogloss:1.31692
[13]	train-mlogloss:1.31515	validation-mlogloss:1.31247
[14]	train-mlogloss:1.31055	validation-mlogloss:1.30775
[15]	train-mlogloss:1.30608	validation-mlogloss:1.30299
[16]	train-mlogloss:1.30179	validation-mlogloss:1.29860
[17]	train-mlogloss:1.29749	validation-mlogloss:1.29426
[18]	train-mlogloss:1.29340	validation-mlogloss:1.29018
[19]	train-mlogloss:1.28955	validation-mlogloss:1.28620
[20]	train-mlogloss:1.28567	validation-mlogloss:1.28223
[21]	train-mlogloss:1.28179	validation-mlogloss:1.27822
[22]	train-mlogloss:1.27756	validation-mlogloss:1.27371
[23]	train-mlogloss:1.27370	validation-mlogloss:1.27000
[24]	train-mlogloss:1.26993	validation-mlogloss:1.26624
[25]	train-mlogloss:1.26615	validation-mlogloss:1.26237
[26]	train-mlogloss:1.26258	validation-mlogloss:1.25865
[27]	train-mlogloss:1.25875	validation-mlogloss:1.25468
[28]	train-mlogloss:1.25502	validation-mlogloss:1.25061
[29]	train-mlogloss:1.25145	validation-mlogloss:1.24661
[30]	train-mlogloss:1.24783	validation-mlogloss:1.24290
[31]	train-mlogloss:1.24430	validation-mlogloss:1.23914
[32]	train-mlogloss:1.24062	validation-mlogloss:1.23538
[33]	train-mlogloss:1.23693	validation-mlogloss:1.23152
[34]	train-mlogloss:1.23369	validation-mlogloss:1.22841
[35]	train-mlogloss:1.23010	validation-mlogloss:1.22458
[36]	train-mlogloss:1.22691	validation-mlogloss:1.22144
[37]	train-mlogloss:1.22369	validation-mlogloss:1.21819
[38]	train-mlogloss:1.22068	validation-mlogloss:1.21487
[39]	train-mlogloss:1.21774	validation-mlogloss:1.21187
[40]	train-mlogloss:1.21464	validation-mlogloss:1.20882
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[42]	train-mlogloss:1.20871	validation-mlogloss:1.20312
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[180]	train-mlogloss:1.00842	validation-mlogloss:1.01130
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[182]	train-mlogloss:1.00730	validation-mlogloss:1.01055
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[184]	train-mlogloss:1.00607	validation-mlogloss:1.00949
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[189]	train-mlogloss:1.00330	validation-mlogloss:1.00712
[190]	train-mlogloss:1.00272	validation-mlogloss:1.00663
[191]	train-mlogloss:1.00204	validation-mlogloss:1.00608
[192]	train-mlogloss:1.00160	validation-mlogloss:1.00571
[193]	train-mlogloss:1.00106	validation-mlogloss:1.00532
[194]	train-mlogloss:1.00051	validation-mlogloss:1.00487
[195]	train-mlogloss:0.99990	validation-mlogloss:1.00430
[196]	train-mlogloss:0.99925	validation-mlogloss:1.00377
[197]	train-mlogloss:0.99877	validation-mlogloss:1.00338
[198]	train-mlogloss:0.99829	validation-mlogloss:1.00317
[199]	train-mlogloss:0.99769	validation-mlogloss:1.00277
[200]	train-mlogloss:0.99707	validation-mlogloss:1.00216
[201]	train-mlogloss:0.99649	validation-mlogloss:1.00175
[202]	train-mlogloss:0.99595	validation-mlogloss:1.00129
[203]	train-mlogloss:0.99548	validation-mlogloss:1.00096
[204]	train-mlogloss:0.99494	validation-mlogloss:1.00053
[205]	train-mlogloss:0.99449	validation-mlogloss:1.00026
[206]	train-mlogloss:0.99404	validation-mlogloss:0.99987
[207]	train-mlogloss:0.99351	validation-mlogloss:0.99951
[208]	train-mlogloss:0.99306	validation-mlogloss:0.99908
[209]	train-mlogloss:0.99264	validation-mlogloss:0.99864
[210]	train-mlogloss:0.99205	validation-mlogloss:0.99821
[211]	train-mlogloss:0.99164	validation-mlogloss:0.99793
[212]	train-mlogloss:0.99117	validation-mlogloss:0.99768
[213]	train-mlogloss:0.99076	validation-mlogloss:0.99733
[214]	train-mlogloss:0.99015	validation-mlogloss:0.99668
[215]	train-mlogloss:0.98958	validation-mlogloss:0.99618
[216]	train-mlogloss:0.98911	validation-mlogloss:0.99581
[217]	train-mlogloss:0.98869	validation-mlogloss:0.99550
[218]	train-mlogloss:0.98833	validation-mlogloss:0.99521
[219]	train-mlogloss:0.98791	validation-mlogloss:0.99506
[220]	train-mlogloss:0.98759	validation-mlogloss:0.99471
[221]	train-mlogloss:0.98710	validation-mlogloss:0.99439
[222]	train-mlogloss:0.98655	validation-mlogloss:0.99408
[223]	train-mlogloss:0.98619	validation-mlogloss:0.99384
[224]	train-mlogloss:0.98583	validation-mlogloss:0.99339
[225]	train-mlogloss:0.98532	validation-mlogloss:0.99294
[226]	train-mlogloss:0.98500	validation-mlogloss:0.99261
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[0 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.84 [%]
Global accuracy score (test) = 59.68 [%]
Global F1 score (train) = 59.98 [%]
Global F1 score (test) = 59.93 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.46      0.43      0.44       400
MODERATE-INTENSITY       0.56      0.64      0.59       400
         SEDENTARY       0.65      0.73      0.68       400
VIGOROUS-INTENSITY       0.79      0.59      0.67       345

          accuracy                           0.60      1545
         macro avg       0.61      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 18: 59.68 [%]
F1-score capturado en la ejecución 18: 59.93 [%]

=== EJECUCIÓN 19 ===

--- TRAIN (ejecución 19) ---

--- TEST (ejecución 19) ---
2025-11-07 09:12:44.712723: 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 09:12:44.724158: 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 00:00:1762503164.737766 2304435 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503164.741969 2304435 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503164.751751 2304435 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503164.751773 2304435 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503164.751775 2304435 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503164.751776 2304435 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:44.755015: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.38091	validation-mlogloss:1.38065
[1]	train-mlogloss:1.37521	validation-mlogloss:1.37450
[2]	train-mlogloss:1.36968	validation-mlogloss:1.36884
[3]	train-mlogloss:1.36405	validation-mlogloss:1.36279
[4]	train-mlogloss:1.35872	validation-mlogloss:1.35743
[5]	train-mlogloss:1.35349	validation-mlogloss:1.35209
[6]	train-mlogloss:1.34829	validation-mlogloss:1.34692
[7]	train-mlogloss:1.34316	validation-mlogloss:1.34160
[8]	train-mlogloss:1.33817	validation-mlogloss:1.33652
[9]	train-mlogloss:1.33326	validation-mlogloss:1.33148
[10]	train-mlogloss:1.32855	validation-mlogloss:1.32675
[11]	train-mlogloss:1.32387	validation-mlogloss:1.32209
[12]	train-mlogloss:1.31942	validation-mlogloss:1.31769
[13]	train-mlogloss:1.31476	validation-mlogloss:1.31295
[14]	train-mlogloss:1.31026	validation-mlogloss:1.30827
[15]	train-mlogloss:1.30563	validation-mlogloss:1.30329
[16]	train-mlogloss:1.30130	validation-mlogloss:1.29900
[17]	train-mlogloss:1.29692	validation-mlogloss:1.29447
[18]	train-mlogloss:1.29278	validation-mlogloss:1.29057
[19]	train-mlogloss:1.28869	validation-mlogloss:1.28635
[20]	train-mlogloss:1.28460	validation-mlogloss:1.28246
[21]	train-mlogloss:1.28052	validation-mlogloss:1.27822
[22]	train-mlogloss:1.27636	validation-mlogloss:1.27409
[23]	train-mlogloss:1.27237	validation-mlogloss:1.27003
[24]	train-mlogloss:1.26855	validation-mlogloss:1.26639
[25]	train-mlogloss:1.26461	validation-mlogloss:1.26216
[26]	train-mlogloss:1.26074	validation-mlogloss:1.25819
[27]	train-mlogloss:1.25696	validation-mlogloss:1.25440
[28]	train-mlogloss:1.25331	validation-mlogloss:1.25073
[29]	train-mlogloss:1.24953	validation-mlogloss:1.24687
[30]	train-mlogloss:1.24607	validation-mlogloss:1.24336
[31]	train-mlogloss:1.24236	validation-mlogloss:1.23955
[32]	train-mlogloss:1.23889	validation-mlogloss:1.23604
[33]	train-mlogloss:1.23531	validation-mlogloss:1.23224
[34]	train-mlogloss:1.23198	validation-mlogloss:1.22902
[35]	train-mlogloss:1.22863	validation-mlogloss:1.22564
[36]	train-mlogloss:1.22551	validation-mlogloss:1.22253
[37]	train-mlogloss:1.22221	validation-mlogloss:1.21907
[38]	train-mlogloss:1.21909	validation-mlogloss:1.21605
[39]	train-mlogloss:1.21599	validation-mlogloss:1.21299
[40]	train-mlogloss:1.21305	validation-mlogloss:1.21019
[41]	train-mlogloss:1.21006	validation-mlogloss:1.20733
[42]	train-mlogloss:1.20711	validation-mlogloss:1.20454
[43]	train-mlogloss:1.20429	validation-mlogloss:1.20176
[44]	train-mlogloss:1.20141	validation-mlogloss:1.19876
[45]	train-mlogloss:1.19848	validation-mlogloss:1.19574
[46]	train-mlogloss:1.19569	validation-mlogloss:1.19292
[47]	train-mlogloss:1.19296	validation-mlogloss:1.19005
[48]	train-mlogloss:1.19031	validation-mlogloss:1.18751
[49]	train-mlogloss:1.18753	validation-mlogloss:1.18465
[50]	train-mlogloss:1.18483	validation-mlogloss:1.18194
[51]	train-mlogloss:1.18229	validation-mlogloss:1.17945
[52]	train-mlogloss:1.17975	validation-mlogloss:1.17675
[53]	train-mlogloss:1.17695	validation-mlogloss:1.17383
[54]	train-mlogloss:1.17429	validation-mlogloss:1.17121
[55]	train-mlogloss:1.17184	validation-mlogloss:1.16872
[56]	train-mlogloss:1.16914	validation-mlogloss:1.16599
[57]	train-mlogloss:1.16688	validation-mlogloss:1.16394
[58]	train-mlogloss:1.16431	validation-mlogloss:1.16136
[59]	train-mlogloss:1.16189	validation-mlogloss:1.15875
[60]	train-mlogloss:1.15962	validation-mlogloss:1.15658
[61]	train-mlogloss:1.15738	validation-mlogloss:1.15421
[62]	train-mlogloss:1.15513	validation-mlogloss:1.15196
[63]	train-mlogloss:1.15289	validation-mlogloss:1.14976
[64]	train-mlogloss:1.15067	validation-mlogloss:1.14755
[65]	train-mlogloss:1.14860	validation-mlogloss:1.14544
[66]	train-mlogloss:1.14639	validation-mlogloss:1.14303
[67]	train-mlogloss:1.14426	validation-mlogloss:1.14097
[68]	train-mlogloss:1.14219	validation-mlogloss:1.13901
[69]	train-mlogloss:1.14010	validation-mlogloss:1.13676
[70]	train-mlogloss:1.13818	validation-mlogloss:1.13499
[71]	train-mlogloss:1.13622	validation-mlogloss:1.13317
[72]	train-mlogloss:1.13423	validation-mlogloss:1.13127
[73]	train-mlogloss:1.13219	validation-mlogloss:1.12915
[74]	train-mlogloss:1.13001	validation-mlogloss:1.12702
[75]	train-mlogloss:1.12819	validation-mlogloss:1.12546
[76]	train-mlogloss:1.12624	validation-mlogloss:1.12335
[77]	train-mlogloss:1.12422	validation-mlogloss:1.12133
[78]	train-mlogloss:1.12233	validation-mlogloss:1.11960
[79]	train-mlogloss:1.12029	validation-mlogloss:1.11761
[80]	train-mlogloss:1.11840	validation-mlogloss:1.11579
[81]	train-mlogloss:1.11664	validation-mlogloss:1.11405
[82]	train-mlogloss:1.11490	validation-mlogloss:1.11220
[83]	train-mlogloss:1.11313	validation-mlogloss:1.11041
[84]	train-mlogloss:1.11149	validation-mlogloss:1.10879
[85]	train-mlogloss:1.10974	validation-mlogloss:1.10703
[86]	train-mlogloss:1.10792	validation-mlogloss:1.10512
[87]	train-mlogloss:1.10605	validation-mlogloss:1.10332
[88]	train-mlogloss:1.10441	validation-mlogloss:1.10162
[89]	train-mlogloss:1.10257	validation-mlogloss:1.09976
[90]	train-mlogloss:1.10085	validation-mlogloss:1.09816
[91]	train-mlogloss:1.09930	validation-mlogloss:1.09664
[92]	train-mlogloss:1.09780	validation-mlogloss:1.09530
[93]	train-mlogloss:1.09608	validation-mlogloss:1.09353
[94]	train-mlogloss:1.09467	validation-mlogloss:1.09232
[95]	train-mlogloss:1.09306	validation-mlogloss:1.09060
[96]	train-mlogloss:1.09162	validation-mlogloss:1.08915
[97]	train-mlogloss:1.09023	validation-mlogloss:1.08764
[98]	train-mlogloss:1.08883	validation-mlogloss:1.08601
[99]	train-mlogloss:1.08724	validation-mlogloss:1.08441
[100]	train-mlogloss:1.08576	validation-mlogloss:1.08291
[101]	train-mlogloss:1.08431	validation-mlogloss:1.08141
[102]	train-mlogloss:1.08276	validation-mlogloss:1.07984
[103]	train-mlogloss:1.08135	validation-mlogloss:1.07830
[104]	train-mlogloss:1.07989	validation-mlogloss:1.07717
[105]	train-mlogloss:1.07833	validation-mlogloss:1.07550
[106]	train-mlogloss:1.07708	validation-mlogloss:1.07447
[107]	train-mlogloss:1.07558	validation-mlogloss:1.07312
[108]	train-mlogloss:1.07423	validation-mlogloss:1.07162
[109]	train-mlogloss:1.07287	validation-mlogloss:1.07022
[110]	train-mlogloss:1.07150	validation-mlogloss:1.06871
[111]	train-mlogloss:1.07027	validation-mlogloss:1.06756
[112]	train-mlogloss:1.06891	validation-mlogloss:1.06619
[113]	train-mlogloss:1.06768	validation-mlogloss:1.06503
[114]	train-mlogloss:1.06648	validation-mlogloss:1.06378
[115]	train-mlogloss:1.06518	validation-mlogloss:1.06250
[116]	train-mlogloss:1.06396	validation-mlogloss:1.06135
[117]	train-mlogloss:1.06270	validation-mlogloss:1.06007
[118]	train-mlogloss:1.06161	validation-mlogloss:1.05923
[119]	train-mlogloss:1.06043	validation-mlogloss:1.05810
[120]	train-mlogloss:1.05928	validation-mlogloss:1.05707
[121]	train-mlogloss:1.05812	validation-mlogloss:1.05592
[122]	train-mlogloss:1.05711	validation-mlogloss:1.05488
[123]	train-mlogloss:1.05598	validation-mlogloss:1.05374
[124]	train-mlogloss:1.05490	validation-mlogloss:1.05270
[125]	train-mlogloss:1.05370	validation-mlogloss:1.05158
[126]	train-mlogloss:1.05244	validation-mlogloss:1.05029
[127]	train-mlogloss:1.05131	validation-mlogloss:1.04922
[128]	train-mlogloss:1.05036	validation-mlogloss:1.04839
[129]	train-mlogloss:1.04941	validation-mlogloss:1.04767
[130]	train-mlogloss:1.04837	validation-mlogloss:1.04675
[131]	train-mlogloss:1.04740	validation-mlogloss:1.04581
[132]	train-mlogloss:1.04641	validation-mlogloss:1.04488
[133]	train-mlogloss:1.04527	validation-mlogloss:1.04379
[134]	train-mlogloss:1.04434	validation-mlogloss:1.04308
[135]	train-mlogloss:1.04326	validation-mlogloss:1.04188
[136]	train-mlogloss:1.04236	validation-mlogloss:1.04094
[137]	train-mlogloss:1.04138	validation-mlogloss:1.03996
[138]	train-mlogloss:1.04040	validation-mlogloss:1.03899
[139]	train-mlogloss:1.03931	validation-mlogloss:1.03805
[140]	train-mlogloss:1.03819	validation-mlogloss:1.03701
[141]	train-mlogloss:1.03717	validation-mlogloss:1.03601
[142]	train-mlogloss:1.03614	validation-mlogloss:1.03507
[143]	train-mlogloss:1.03513	validation-mlogloss:1.03425
[144]	train-mlogloss:1.03418	validation-mlogloss:1.03343
[145]	train-mlogloss:1.03331	validation-mlogloss:1.03258
[146]	train-mlogloss:1.03243	validation-mlogloss:1.03208
[147]	train-mlogloss:1.03145	validation-mlogloss:1.03125
[148]	train-mlogloss:1.03058	validation-mlogloss:1.03053
[149]	train-mlogloss:1.02962	validation-mlogloss:1.02975
[150]	train-mlogloss:1.02880	validation-mlogloss:1.02895
[151]	train-mlogloss:1.02792	validation-mlogloss:1.02820
[152]	train-mlogloss:1.02714	validation-mlogloss:1.02755
[153]	train-mlogloss:1.02630	validation-mlogloss:1.02677
[154]	train-mlogloss:1.02556	validation-mlogloss:1.02622
[155]	train-mlogloss:1.02478	validation-mlogloss:1.02557
[156]	train-mlogloss:1.02413	validation-mlogloss:1.02498
[157]	train-mlogloss:1.02343	validation-mlogloss:1.02430
[158]	train-mlogloss:1.02261	validation-mlogloss:1.02369
[159]	train-mlogloss:1.02187	validation-mlogloss:1.02294
[160]	train-mlogloss:1.02111	validation-mlogloss:1.02237
[161]	train-mlogloss:1.02020	validation-mlogloss:1.02136
[162]	train-mlogloss:1.01952	validation-mlogloss:1.02065
[163]	train-mlogloss:1.01867	validation-mlogloss:1.01981
[164]	train-mlogloss:1.01792	validation-mlogloss:1.01915
[165]	train-mlogloss:1.01710	validation-mlogloss:1.01854
[166]	train-mlogloss:1.01636	validation-mlogloss:1.01768
[167]	train-mlogloss:1.01563	validation-mlogloss:1.01711
[168]	train-mlogloss:1.01487	validation-mlogloss:1.01640
[169]	train-mlogloss:1.01420	validation-mlogloss:1.01583
[170]	train-mlogloss:1.01352	validation-mlogloss:1.01510
[171]	train-mlogloss:1.01283	validation-mlogloss:1.01458
[172]	train-mlogloss:1.01210	validation-mlogloss:1.01385
[173]	train-mlogloss:1.01124	validation-mlogloss:1.01302
[174]	train-mlogloss:1.01063	validation-mlogloss:1.01255
[175]	train-mlogloss:1.00996	validation-mlogloss:1.01203
[176]	train-mlogloss:1.00909	validation-mlogloss:1.01137
[177]	train-mlogloss:1.00848	validation-mlogloss:1.01095
[178]	train-mlogloss:1.00776	validation-mlogloss:1.01043
[179]	train-mlogloss:1.00719	validation-mlogloss:1.00997
[180]	train-mlogloss:1.00657	validation-mlogloss:1.00948
[181]	train-mlogloss:1.00593	validation-mlogloss:1.00894
[182]	train-mlogloss:1.00528	validation-mlogloss:1.00832
[183]	train-mlogloss:1.00463	validation-mlogloss:1.00774
[184]	train-mlogloss:1.00410	validation-mlogloss:1.00739
[185]	train-mlogloss:1.00360	validation-mlogloss:1.00707
[186]	train-mlogloss:1.00299	validation-mlogloss:1.00659
[187]	train-mlogloss:1.00236	validation-mlogloss:1.00609
[188]	train-mlogloss:1.00164	validation-mlogloss:1.00550
[189]	train-mlogloss:1.00105	validation-mlogloss:1.00484
[190]	train-mlogloss:1.00039	validation-mlogloss:1.00426
[191]	train-mlogloss:0.99970	validation-mlogloss:1.00362
[192]	train-mlogloss:0.99917	validation-mlogloss:1.00311
[193]	train-mlogloss:0.99866	validation-mlogloss:1.00280
[194]	train-mlogloss:0.99812	validation-mlogloss:1.00242
[195]	train-mlogloss:0.99759	validation-mlogloss:1.00203
[196]	train-mlogloss:0.99699	validation-mlogloss:1.00155
[197]	train-mlogloss:0.99652	validation-mlogloss:1.00125
[198]	train-mlogloss:0.99592	validation-mlogloss:1.00081
[199]	train-mlogloss:0.99540	validation-mlogloss:1.00032
[200]	train-mlogloss:0.99480	validation-mlogloss:0.99986
[201]	train-mlogloss:0.99438	validation-mlogloss:0.99960
[202]	train-mlogloss:0.99391	validation-mlogloss:0.99918
[203]	train-mlogloss:0.99340	validation-mlogloss:0.99892
[204]	train-mlogloss:0.99302	validation-mlogloss:0.99881
[205]	train-mlogloss:0.99265	validation-mlogloss:0.99870
[206]	train-mlogloss:0.99220	validation-mlogloss:0.99828
[207]	train-mlogloss:0.99173	validation-mlogloss:0.99802
[208]	train-mlogloss:0.99129	validation-mlogloss:0.99767
[209]	train-mlogloss:0.99090	validation-mlogloss:0.99730
[210]	train-mlogloss:0.99041	validation-mlogloss:0.99693
[211]	train-mlogloss:0.98999	validation-mlogloss:0.99652
[212]	train-mlogloss:0.98957	validation-mlogloss:0.99628
[213]	train-mlogloss:0.98915	validation-mlogloss:0.99591
[214]	train-mlogloss:0.98877	validation-mlogloss:0.99567
[215]	train-mlogloss:0.98839	validation-mlogloss:0.99553
[216]	train-mlogloss:0.98794	validation-mlogloss:0.99507
[217]	train-mlogloss:0.98750	validation-mlogloss:0.99472
[218]	train-mlogloss:0.98709	validation-mlogloss:0.99447
[219]	train-mlogloss:0.98666	validation-mlogloss:0.99422
[220]	train-mlogloss:0.98626	validation-mlogloss:0.99383
[221]	train-mlogloss:0.98590	validation-mlogloss:0.99355
[222]	train-mlogloss:0.98561	validation-mlogloss:0.99326
[223]	train-mlogloss:0.98520	validation-mlogloss:0.99295
[224]	train-mlogloss:0.98472	validation-mlogloss:0.99256
[225]	train-mlogloss:0.98434	validation-mlogloss:0.99223
[226]	train-mlogloss:0.98394	validation-mlogloss:0.99181
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)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[0 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.55 [%]
Global accuracy score (test) = 59.35 [%]
Global F1 score (train) = 60.35 [%]
Global F1 score (test) = 59.73 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.44      0.41      0.42       400
MODERATE-INTENSITY       0.54      0.67      0.60       400
         SEDENTARY       0.65      0.70      0.68       400
VIGOROUS-INTENSITY       0.83      0.59      0.69       345

          accuracy                           0.59      1545
         macro avg       0.62      0.59      0.60      1545
      weighted avg       0.61      0.59      0.59      1545


Accuracy capturado en la ejecución 19: 59.35 [%]
F1-score capturado en la ejecución 19: 59.73 [%]

=== EJECUCIÓN 20 ===

--- TRAIN (ejecución 20) ---

--- TEST (ejecución 20) ---
2025-11-07 09:12:55.698314: 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 09:12:55.709886: 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 00:00:1762503175.723448 2304683 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503175.727569 2304683 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503175.737526 2304683 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503175.737549 2304683 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503175.737551 2304683 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503175.737560 2304683 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:12:55.740582: 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:1.38066	validation-mlogloss:1.38056
[1]	train-mlogloss:1.37516	validation-mlogloss:1.37504
[2]	train-mlogloss:1.36984	validation-mlogloss:1.36969
[3]	train-mlogloss:1.36453	validation-mlogloss:1.36401
[4]	train-mlogloss:1.35927	validation-mlogloss:1.35875
[5]	train-mlogloss:1.35408	validation-mlogloss:1.35338
[6]	train-mlogloss:1.34911	validation-mlogloss:1.34836
[7]	train-mlogloss:1.34383	validation-mlogloss:1.34276
[8]	train-mlogloss:1.33879	validation-mlogloss:1.33747
[9]	train-mlogloss:1.33397	validation-mlogloss:1.33253
[10]	train-mlogloss:1.32892	validation-mlogloss:1.32709
[11]	train-mlogloss:1.32416	validation-mlogloss:1.32227
[12]	train-mlogloss:1.31945	validation-mlogloss:1.31743
[13]	train-mlogloss:1.31487	validation-mlogloss:1.31288
[14]	train-mlogloss:1.31052	validation-mlogloss:1.30852
[15]	train-mlogloss:1.30605	validation-mlogloss:1.30393
[16]	train-mlogloss:1.30189	validation-mlogloss:1.29976
[17]	train-mlogloss:1.29772	validation-mlogloss:1.29547
[18]	train-mlogloss:1.29336	validation-mlogloss:1.29094
[19]	train-mlogloss:1.28918	validation-mlogloss:1.28634
[20]	train-mlogloss:1.28525	validation-mlogloss:1.28227
[21]	train-mlogloss:1.28143	validation-mlogloss:1.27842
[22]	train-mlogloss:1.27750	validation-mlogloss:1.27444
[23]	train-mlogloss:1.27353	validation-mlogloss:1.27024
[24]	train-mlogloss:1.26973	validation-mlogloss:1.26648
[25]	train-mlogloss:1.26603	validation-mlogloss:1.26250
[26]	train-mlogloss:1.26222	validation-mlogloss:1.25856
[27]	train-mlogloss:1.25873	validation-mlogloss:1.25512
[28]	train-mlogloss:1.25527	validation-mlogloss:1.25162
[29]	train-mlogloss:1.25154	validation-mlogloss:1.24778
[30]	train-mlogloss:1.24796	validation-mlogloss:1.24421
[31]	train-mlogloss:1.24454	validation-mlogloss:1.24071
[32]	train-mlogloss:1.24127	validation-mlogloss:1.23733
[33]	train-mlogloss:1.23783	validation-mlogloss:1.23393
[34]	train-mlogloss:1.23437	validation-mlogloss:1.23016
[35]	train-mlogloss:1.23083	validation-mlogloss:1.22641
[36]	train-mlogloss:1.22731	validation-mlogloss:1.22272
[37]	train-mlogloss:1.22427	validation-mlogloss:1.21964
[38]	train-mlogloss:1.22121	validation-mlogloss:1.21656
[39]	train-mlogloss:1.21802	validation-mlogloss:1.21327
[40]	train-mlogloss:1.21512	validation-mlogloss:1.21035
[41]	train-mlogloss:1.21217	validation-mlogloss:1.20733
[42]	train-mlogloss:1.20908	validation-mlogloss:1.20416
[43]	train-mlogloss:1.20613	validation-mlogloss:1.20112
[44]	train-mlogloss:1.20308	validation-mlogloss:1.19789
[45]	train-mlogloss:1.20014	validation-mlogloss:1.19485
[46]	train-mlogloss:1.19743	validation-mlogloss:1.19221
[47]	train-mlogloss:1.19471	validation-mlogloss:1.18948
[48]	train-mlogloss:1.19204	validation-mlogloss:1.18688
[49]	train-mlogloss:1.18939	validation-mlogloss:1.18432
[50]	train-mlogloss:1.18678	validation-mlogloss:1.18172
[51]	train-mlogloss:1.18429	validation-mlogloss:1.17923
[52]	train-mlogloss:1.18164	validation-mlogloss:1.17668
[53]	train-mlogloss:1.17911	validation-mlogloss:1.17414
[54]	train-mlogloss:1.17669	validation-mlogloss:1.17153
[55]	train-mlogloss:1.17423	validation-mlogloss:1.16906
[56]	train-mlogloss:1.17178	validation-mlogloss:1.16691
[57]	train-mlogloss:1.16924	validation-mlogloss:1.16414
[58]	train-mlogloss:1.16669	validation-mlogloss:1.16136
[59]	train-mlogloss:1.16405	validation-mlogloss:1.15868
[60]	train-mlogloss:1.16181	validation-mlogloss:1.15648
[61]	train-mlogloss:1.15949	validation-mlogloss:1.15434
[62]	train-mlogloss:1.15729	validation-mlogloss:1.15221
[63]	train-mlogloss:1.15505	validation-mlogloss:1.14986
[64]	train-mlogloss:1.15282	validation-mlogloss:1.14763
[65]	train-mlogloss:1.15061	validation-mlogloss:1.14556
[66]	train-mlogloss:1.14846	validation-mlogloss:1.14336
[67]	train-mlogloss:1.14636	validation-mlogloss:1.14107
[68]	train-mlogloss:1.14430	validation-mlogloss:1.13898
[69]	train-mlogloss:1.14225	validation-mlogloss:1.13685
[70]	train-mlogloss:1.14009	validation-mlogloss:1.13478
[71]	train-mlogloss:1.13808	validation-mlogloss:1.13266
[72]	train-mlogloss:1.13609	validation-mlogloss:1.13066
[73]	train-mlogloss:1.13423	validation-mlogloss:1.12893
[74]	train-mlogloss:1.13239	validation-mlogloss:1.12712
[75]	train-mlogloss:1.13030	validation-mlogloss:1.12496
[76]	train-mlogloss:1.12844	validation-mlogloss:1.12307
[77]	train-mlogloss:1.12647	validation-mlogloss:1.12092
[78]	train-mlogloss:1.12467	validation-mlogloss:1.11933
[79]	train-mlogloss:1.12295	validation-mlogloss:1.11765
[80]	train-mlogloss:1.12107	validation-mlogloss:1.11577
[81]	train-mlogloss:1.11923	validation-mlogloss:1.11389
[82]	train-mlogloss:1.11752	validation-mlogloss:1.11205
[83]	train-mlogloss:1.11595	validation-mlogloss:1.11072
[84]	train-mlogloss:1.11435	validation-mlogloss:1.10949
[85]	train-mlogloss:1.11255	validation-mlogloss:1.10775
[86]	train-mlogloss:1.11080	validation-mlogloss:1.10617
[87]	train-mlogloss:1.10922	validation-mlogloss:1.10467
[88]	train-mlogloss:1.10742	validation-mlogloss:1.10281
[89]	train-mlogloss:1.10582	validation-mlogloss:1.10124
[90]	train-mlogloss:1.10425	validation-mlogloss:1.09989
[91]	train-mlogloss:1.10252	validation-mlogloss:1.09818
[92]	train-mlogloss:1.10077	validation-mlogloss:1.09642
[93]	train-mlogloss:1.09915	validation-mlogloss:1.09485
[94]	train-mlogloss:1.09755	validation-mlogloss:1.09329
[95]	train-mlogloss:1.09582	validation-mlogloss:1.09153
[96]	train-mlogloss:1.09433	validation-mlogloss:1.09015
[97]	train-mlogloss:1.09275	validation-mlogloss:1.08852
[98]	train-mlogloss:1.09116	validation-mlogloss:1.08675
[99]	train-mlogloss:1.08983	validation-mlogloss:1.08574
[100]	train-mlogloss:1.08841	validation-mlogloss:1.08452
[101]	train-mlogloss:1.08717	validation-mlogloss:1.08353
[102]	train-mlogloss:1.08566	validation-mlogloss:1.08195
[103]	train-mlogloss:1.08432	validation-mlogloss:1.08077
[104]	train-mlogloss:1.08284	validation-mlogloss:1.07924
[105]	train-mlogloss:1.08133	validation-mlogloss:1.07772
[106]	train-mlogloss:1.08004	validation-mlogloss:1.07632
[107]	train-mlogloss:1.07861	validation-mlogloss:1.07481
[108]	train-mlogloss:1.07733	validation-mlogloss:1.07353
[109]	train-mlogloss:1.07601	validation-mlogloss:1.07213
[110]	train-mlogloss:1.07484	validation-mlogloss:1.07114
[111]	train-mlogloss:1.07350	validation-mlogloss:1.06963
[112]	train-mlogloss:1.07238	validation-mlogloss:1.06853
[113]	train-mlogloss:1.07122	validation-mlogloss:1.06736
[114]	train-mlogloss:1.07002	validation-mlogloss:1.06634
[115]	train-mlogloss:1.06891	validation-mlogloss:1.06524
[116]	train-mlogloss:1.06779	validation-mlogloss:1.06417
[117]	train-mlogloss:1.06652	validation-mlogloss:1.06300
[118]	train-mlogloss:1.06525	validation-mlogloss:1.06180
[119]	train-mlogloss:1.06408	validation-mlogloss:1.06075
[120]	train-mlogloss:1.06294	validation-mlogloss:1.05987
[121]	train-mlogloss:1.06177	validation-mlogloss:1.05867
[122]	train-mlogloss:1.06061	validation-mlogloss:1.05754
[123]	train-mlogloss:1.05937	validation-mlogloss:1.05646
[124]	train-mlogloss:1.05818	validation-mlogloss:1.05549
[125]	train-mlogloss:1.05712	validation-mlogloss:1.05440
[126]	train-mlogloss:1.05592	validation-mlogloss:1.05324
[127]	train-mlogloss:1.05477	validation-mlogloss:1.05219
[128]	train-mlogloss:1.05372	validation-mlogloss:1.05117
[129]	train-mlogloss:1.05259	validation-mlogloss:1.05023
[130]	train-mlogloss:1.05154	validation-mlogloss:1.04929
[131]	train-mlogloss:1.05052	validation-mlogloss:1.04836
[132]	train-mlogloss:1.04942	validation-mlogloss:1.04726
[133]	train-mlogloss:1.04849	validation-mlogloss:1.04635
[134]	train-mlogloss:1.04762	validation-mlogloss:1.04553
[135]	train-mlogloss:1.04653	validation-mlogloss:1.04452
[136]	train-mlogloss:1.04556	validation-mlogloss:1.04365
[137]	train-mlogloss:1.04457	validation-mlogloss:1.04285
[138]	train-mlogloss:1.04365	validation-mlogloss:1.04201
[139]	train-mlogloss:1.04261	validation-mlogloss:1.04098
[140]	train-mlogloss:1.04159	validation-mlogloss:1.04009
[141]	train-mlogloss:1.04051	validation-mlogloss:1.03930
[142]	train-mlogloss:1.03959	validation-mlogloss:1.03848
[143]	train-mlogloss:1.03874	validation-mlogloss:1.03771
[144]	train-mlogloss:1.03789	validation-mlogloss:1.03692
[145]	train-mlogloss:1.03698	validation-mlogloss:1.03629
[146]	train-mlogloss:1.03613	validation-mlogloss:1.03539
[147]	train-mlogloss:1.03521	validation-mlogloss:1.03459
[148]	train-mlogloss:1.03435	validation-mlogloss:1.03363
[149]	train-mlogloss:1.03358	validation-mlogloss:1.03300
[150]	train-mlogloss:1.03277	validation-mlogloss:1.03238
[151]	train-mlogloss:1.03201	validation-mlogloss:1.03178
[152]	train-mlogloss:1.03122	validation-mlogloss:1.03109
[153]	train-mlogloss:1.03036	validation-mlogloss:1.03033
[154]	train-mlogloss:1.02949	validation-mlogloss:1.02951
[155]	train-mlogloss:1.02862	validation-mlogloss:1.02848
[156]	train-mlogloss:1.02773	validation-mlogloss:1.02778
[157]	train-mlogloss:1.02697	validation-mlogloss:1.02699
[158]	train-mlogloss:1.02616	validation-mlogloss:1.02641
[159]	train-mlogloss:1.02536	validation-mlogloss:1.02560
[160]	train-mlogloss:1.02461	validation-mlogloss:1.02474
[161]	train-mlogloss:1.02390	validation-mlogloss:1.02422
[162]	train-mlogloss:1.02318	validation-mlogloss:1.02349
[163]	train-mlogloss:1.02232	validation-mlogloss:1.02285
[164]	train-mlogloss:1.02151	validation-mlogloss:1.02225
[165]	train-mlogloss:1.02079	validation-mlogloss:1.02171
[166]	train-mlogloss:1.01993	validation-mlogloss:1.02086
[167]	train-mlogloss:1.01925	validation-mlogloss:1.02033
[168]	train-mlogloss:1.01854	validation-mlogloss:1.01964
[169]	train-mlogloss:1.01790	validation-mlogloss:1.01908
[170]	train-mlogloss:1.01727	validation-mlogloss:1.01863
[171]	train-mlogloss:1.01656	validation-mlogloss:1.01802
[172]	train-mlogloss:1.01599	validation-mlogloss:1.01753
[173]	train-mlogloss:1.01530	validation-mlogloss:1.01689
[174]	train-mlogloss:1.01463	validation-mlogloss:1.01646
[175]	train-mlogloss:1.01402	validation-mlogloss:1.01599
[176]	train-mlogloss:1.01343	validation-mlogloss:1.01553
[177]	train-mlogloss:1.01279	validation-mlogloss:1.01517
[178]	train-mlogloss:1.01205	validation-mlogloss:1.01443
[179]	train-mlogloss:1.01150	validation-mlogloss:1.01406
[180]	train-mlogloss:1.01100	validation-mlogloss:1.01377
[181]	train-mlogloss:1.01043	validation-mlogloss:1.01345
[182]	train-mlogloss:1.00980	validation-mlogloss:1.01287
[183]	train-mlogloss:1.00914	validation-mlogloss:1.01236
[184]	train-mlogloss:1.00847	validation-mlogloss:1.01176
[185]	train-mlogloss:1.00788	validation-mlogloss:1.01137
[186]	train-mlogloss:1.00732	validation-mlogloss:1.01101
[187]	train-mlogloss:1.00682	validation-mlogloss:1.01058
[188]	train-mlogloss:1.00630	validation-mlogloss:1.01010
[189]	train-mlogloss:1.00561	validation-mlogloss:1.00960
[190]	train-mlogloss:1.00510	validation-mlogloss:1.00916
[191]	train-mlogloss:1.00457	validation-mlogloss:1.00887
[192]	train-mlogloss:1.00411	validation-mlogloss:1.00841
[193]	train-mlogloss:1.00355	validation-mlogloss:1.00790
[194]	train-mlogloss:1.00303	validation-mlogloss:1.00769
[195]	train-mlogloss:1.00260	validation-mlogloss:1.00736
[196]	train-mlogloss:1.00214	validation-mlogloss:1.00698
[197]	train-mlogloss:1.00164	validation-mlogloss:1.00656
[198]	train-mlogloss:1.00113	validation-mlogloss:1.00621
[199]	train-mlogloss:1.00067	validation-mlogloss:1.00585
[200]	train-mlogloss:1.00018	validation-mlogloss:1.00559
[201]	train-mlogloss:0.99974	validation-mlogloss:1.00531
[202]	train-mlogloss:0.99923	validation-mlogloss:1.00483
[203]	train-mlogloss:0.99863	validation-mlogloss:1.00414
[204]	train-mlogloss:0.99816	validation-mlogloss:1.00375
[205]	train-mlogloss:0.99774	validation-mlogloss:1.00351
[206]	train-mlogloss:0.99719	validation-mlogloss:1.00313
[207]	train-mlogloss:0.99664	validation-mlogloss:1.00269
[208]	train-mlogloss:0.99617	validation-mlogloss:1.00233
[209]	train-mlogloss:0.99582	validation-mlogloss:1.00207
[210]	train-mlogloss:0.99527	validation-mlogloss:1.00180
[211]	train-mlogloss:0.99480	validation-mlogloss:1.00142
[212]	train-mlogloss:0.99429	validation-mlogloss:1.00088
[213]	train-mlogloss:0.99386	validation-mlogloss:1.00058
[214]	train-mlogloss:0.99342	validation-mlogloss:1.00038
[215]	train-mlogloss:0.99297	validation-mlogloss:1.00000
[216]	train-mlogloss:0.99250	validation-mlogloss:0.99951
[217]	train-mlogloss:0.99208	validation-mlogloss:0.99926
[218]	train-mlogloss:0.99162	validation-mlogloss:0.99896
[219]	train-mlogloss:0.99125	validation-mlogloss:0.99861
[220]	train-mlogloss:0.99084	validation-mlogloss:0.99820
[221]	train-mlogloss:0.99050	validation-mlogloss:0.99808
[222]	train-mlogloss:0.99018	validation-mlogloss:0.99792
[223]	train-mlogloss:0.98975	validation-mlogloss:0.99755
[224]	train-mlogloss:0.98936	validation-mlogloss:0.99733
[225]	train-mlogloss:0.98897	validation-mlogloss:0.99710
[226]	train-mlogloss:0.98862	validation-mlogloss:0.99679
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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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 1 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.31 [%]
Global accuracy score (test) = 58.58 [%]
Global F1 score (train) = 60.23 [%]
Global F1 score (test) = 58.92 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.40      0.42       400
MODERATE-INTENSITY       0.54      0.64      0.59       400
         SEDENTARY       0.64      0.71      0.67       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.60      0.59      0.59      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 20: 58.58 [%]
F1-score capturado en la ejecución 20: 58.92 [%]

=== EJECUCIÓN 21 ===

--- TRAIN (ejecución 21) ---

--- TEST (ejecución 21) ---
2025-11-07 09:13:06.648899: 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 09:13:06.660122: 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 00:00:1762503186.673450 2304930 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503186.677576 2304930 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503186.687569 2304930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503186.687589 2304930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503186.687597 2304930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503186.687599 2304930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:13:06.690677: 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:1.38028	validation-mlogloss:1.38028
[1]	train-mlogloss:1.37457	validation-mlogloss:1.37435
[2]	train-mlogloss:1.36922	validation-mlogloss:1.36885
[3]	train-mlogloss:1.36366	validation-mlogloss:1.36323
[4]	train-mlogloss:1.35818	validation-mlogloss:1.35769
[5]	train-mlogloss:1.35282	validation-mlogloss:1.35230
[6]	train-mlogloss:1.34780	validation-mlogloss:1.34736
[7]	train-mlogloss:1.34271	validation-mlogloss:1.34247
[8]	train-mlogloss:1.33778	validation-mlogloss:1.33763
[9]	train-mlogloss:1.33280	validation-mlogloss:1.33250
[10]	train-mlogloss:1.32759	validation-mlogloss:1.32716
[11]	train-mlogloss:1.32295	validation-mlogloss:1.32277
[12]	train-mlogloss:1.31833	validation-mlogloss:1.31804
[13]	train-mlogloss:1.31392	validation-mlogloss:1.31385
[14]	train-mlogloss:1.30929	validation-mlogloss:1.30927
[15]	train-mlogloss:1.30458	validation-mlogloss:1.30453
[16]	train-mlogloss:1.30008	validation-mlogloss:1.30001
[17]	train-mlogloss:1.29580	validation-mlogloss:1.29563
[18]	train-mlogloss:1.29156	validation-mlogloss:1.29139
[19]	train-mlogloss:1.28737	validation-mlogloss:1.28732
[20]	train-mlogloss:1.28312	validation-mlogloss:1.28278
[21]	train-mlogloss:1.27929	validation-mlogloss:1.27907
[22]	train-mlogloss:1.27495	validation-mlogloss:1.27481
[23]	train-mlogloss:1.27060	validation-mlogloss:1.27054
[24]	train-mlogloss:1.26644	validation-mlogloss:1.26639
[25]	train-mlogloss:1.26256	validation-mlogloss:1.26267
[26]	train-mlogloss:1.25878	validation-mlogloss:1.25901
[27]	train-mlogloss:1.25483	validation-mlogloss:1.25524
[28]	train-mlogloss:1.25125	validation-mlogloss:1.25163
[29]	train-mlogloss:1.24776	validation-mlogloss:1.24825
[30]	train-mlogloss:1.24432	validation-mlogloss:1.24518
[31]	train-mlogloss:1.24081	validation-mlogloss:1.24170
[32]	train-mlogloss:1.23715	validation-mlogloss:1.23791
[33]	train-mlogloss:1.23373	validation-mlogloss:1.23466
[34]	train-mlogloss:1.23037	validation-mlogloss:1.23118
[35]	train-mlogloss:1.22690	validation-mlogloss:1.22777
[36]	train-mlogloss:1.22354	validation-mlogloss:1.22433
[37]	train-mlogloss:1.22046	validation-mlogloss:1.22150
[38]	train-mlogloss:1.21730	validation-mlogloss:1.21851
[39]	train-mlogloss:1.21424	validation-mlogloss:1.21574
[40]	train-mlogloss:1.21115	validation-mlogloss:1.21289
[41]	train-mlogloss:1.20787	validation-mlogloss:1.20963
[42]	train-mlogloss:1.20482	validation-mlogloss:1.20687
[43]	train-mlogloss:1.20187	validation-mlogloss:1.20378
[44]	train-mlogloss:1.19893	validation-mlogloss:1.20089
[45]	train-mlogloss:1.19612	validation-mlogloss:1.19822
[46]	train-mlogloss:1.19324	validation-mlogloss:1.19548
[47]	train-mlogloss:1.19043	validation-mlogloss:1.19306
[48]	train-mlogloss:1.18761	validation-mlogloss:1.19030
[49]	train-mlogloss:1.18482	validation-mlogloss:1.18755
[50]	train-mlogloss:1.18198	validation-mlogloss:1.18458
[51]	train-mlogloss:1.17926	validation-mlogloss:1.18189
[52]	train-mlogloss:1.17663	validation-mlogloss:1.17955
[53]	train-mlogloss:1.17376	validation-mlogloss:1.17671
[54]	train-mlogloss:1.17110	validation-mlogloss:1.17394
[55]	train-mlogloss:1.16863	validation-mlogloss:1.17159
[56]	train-mlogloss:1.16609	validation-mlogloss:1.16888
[57]	train-mlogloss:1.16371	validation-mlogloss:1.16674
[58]	train-mlogloss:1.16136	validation-mlogloss:1.16467
[59]	train-mlogloss:1.15892	validation-mlogloss:1.16205
[60]	train-mlogloss:1.15669	validation-mlogloss:1.15983
[61]	train-mlogloss:1.15407	validation-mlogloss:1.15730
[62]	train-mlogloss:1.15182	validation-mlogloss:1.15530
[63]	train-mlogloss:1.14957	validation-mlogloss:1.15320
[64]	train-mlogloss:1.14743	validation-mlogloss:1.15112
[65]	train-mlogloss:1.14523	validation-mlogloss:1.14903
[66]	train-mlogloss:1.14306	validation-mlogloss:1.14705
[67]	train-mlogloss:1.14095	validation-mlogloss:1.14509
[68]	train-mlogloss:1.13865	validation-mlogloss:1.14286
[69]	train-mlogloss:1.13632	validation-mlogloss:1.14057
[70]	train-mlogloss:1.13407	validation-mlogloss:1.13832
[71]	train-mlogloss:1.13223	validation-mlogloss:1.13655
[72]	train-mlogloss:1.12998	validation-mlogloss:1.13437
[73]	train-mlogloss:1.12795	validation-mlogloss:1.13249
[74]	train-mlogloss:1.12577	validation-mlogloss:1.13047
[75]	train-mlogloss:1.12384	validation-mlogloss:1.12849
[76]	train-mlogloss:1.12208	validation-mlogloss:1.12678
[77]	train-mlogloss:1.12034	validation-mlogloss:1.12508
[78]	train-mlogloss:1.11847	validation-mlogloss:1.12328
[79]	train-mlogloss:1.11642	validation-mlogloss:1.12115
[80]	train-mlogloss:1.11472	validation-mlogloss:1.11970
[81]	train-mlogloss:1.11280	validation-mlogloss:1.11791
[82]	train-mlogloss:1.11092	validation-mlogloss:1.11596
[83]	train-mlogloss:1.10892	validation-mlogloss:1.11407
[84]	train-mlogloss:1.10702	validation-mlogloss:1.11207
[85]	train-mlogloss:1.10530	validation-mlogloss:1.11050
[86]	train-mlogloss:1.10367	validation-mlogloss:1.10884
[87]	train-mlogloss:1.10185	validation-mlogloss:1.10709
[88]	train-mlogloss:1.10013	validation-mlogloss:1.10540
[89]	train-mlogloss:1.09833	validation-mlogloss:1.10360
[90]	train-mlogloss:1.09657	validation-mlogloss:1.10176
[91]	train-mlogloss:1.09483	validation-mlogloss:1.10029
[92]	train-mlogloss:1.09305	validation-mlogloss:1.09852
[93]	train-mlogloss:1.09121	validation-mlogloss:1.09684
[94]	train-mlogloss:1.08970	validation-mlogloss:1.09549
[95]	train-mlogloss:1.08812	validation-mlogloss:1.09393
[96]	train-mlogloss:1.08676	validation-mlogloss:1.09279
[97]	train-mlogloss:1.08533	validation-mlogloss:1.09131
[98]	train-mlogloss:1.08397	validation-mlogloss:1.09003
[99]	train-mlogloss:1.08243	validation-mlogloss:1.08851
[100]	train-mlogloss:1.08092	validation-mlogloss:1.08691
[101]	train-mlogloss:1.07955	validation-mlogloss:1.08575
[102]	train-mlogloss:1.07821	validation-mlogloss:1.08437
[103]	train-mlogloss:1.07676	validation-mlogloss:1.08300
[104]	train-mlogloss:1.07524	validation-mlogloss:1.08156
[105]	train-mlogloss:1.07373	validation-mlogloss:1.08001
[106]	train-mlogloss:1.07223	validation-mlogloss:1.07858
[107]	train-mlogloss:1.07099	validation-mlogloss:1.07738
[108]	train-mlogloss:1.06968	validation-mlogloss:1.07604
[109]	train-mlogloss:1.06838	validation-mlogloss:1.07487
[110]	train-mlogloss:1.06721	validation-mlogloss:1.07385
[111]	train-mlogloss:1.06592	validation-mlogloss:1.07252
[112]	train-mlogloss:1.06475	validation-mlogloss:1.07139
[113]	train-mlogloss:1.06342	validation-mlogloss:1.06999
[114]	train-mlogloss:1.06220	validation-mlogloss:1.06887
[115]	train-mlogloss:1.06103	validation-mlogloss:1.06781
[116]	train-mlogloss:1.05991	validation-mlogloss:1.06676
[117]	train-mlogloss:1.05877	validation-mlogloss:1.06573
[118]	train-mlogloss:1.05756	validation-mlogloss:1.06449
[119]	train-mlogloss:1.05651	validation-mlogloss:1.06335
[120]	train-mlogloss:1.05538	validation-mlogloss:1.06236
[121]	train-mlogloss:1.05429	validation-mlogloss:1.06138
[122]	train-mlogloss:1.05317	validation-mlogloss:1.06045
[123]	train-mlogloss:1.05201	validation-mlogloss:1.05935
[124]	train-mlogloss:1.05074	validation-mlogloss:1.05819
[125]	train-mlogloss:1.04957	validation-mlogloss:1.05704
[126]	train-mlogloss:1.04843	validation-mlogloss:1.05593
[127]	train-mlogloss:1.04724	validation-mlogloss:1.05483
[128]	train-mlogloss:1.04619	validation-mlogloss:1.05363
[129]	train-mlogloss:1.04527	validation-mlogloss:1.05286
[130]	train-mlogloss:1.04422	validation-mlogloss:1.05190
[131]	train-mlogloss:1.04331	validation-mlogloss:1.05131
[132]	train-mlogloss:1.04225	validation-mlogloss:1.05025
[133]	train-mlogloss:1.04130	validation-mlogloss:1.04938
[134]	train-mlogloss:1.04017	validation-mlogloss:1.04844
[135]	train-mlogloss:1.03921	validation-mlogloss:1.04750
[136]	train-mlogloss:1.03826	validation-mlogloss:1.04653
[137]	train-mlogloss:1.03720	validation-mlogloss:1.04568
[138]	train-mlogloss:1.03636	validation-mlogloss:1.04488
[139]	train-mlogloss:1.03539	validation-mlogloss:1.04387
[140]	train-mlogloss:1.03449	validation-mlogloss:1.04299
[141]	train-mlogloss:1.03347	validation-mlogloss:1.04198
[142]	train-mlogloss:1.03255	validation-mlogloss:1.04099
[143]	train-mlogloss:1.03161	validation-mlogloss:1.04029
[144]	train-mlogloss:1.03070	validation-mlogloss:1.03941
[145]	train-mlogloss:1.02972	validation-mlogloss:1.03862
[146]	train-mlogloss:1.02882	validation-mlogloss:1.03779
[147]	train-mlogloss:1.02790	validation-mlogloss:1.03693
[148]	train-mlogloss:1.02706	validation-mlogloss:1.03620
[149]	train-mlogloss:1.02625	validation-mlogloss:1.03551
[150]	train-mlogloss:1.02539	validation-mlogloss:1.03480
[151]	train-mlogloss:1.02451	validation-mlogloss:1.03424
[152]	train-mlogloss:1.02361	validation-mlogloss:1.03329
[153]	train-mlogloss:1.02277	validation-mlogloss:1.03255
[154]	train-mlogloss:1.02198	validation-mlogloss:1.03172
[155]	train-mlogloss:1.02117	validation-mlogloss:1.03096
[156]	train-mlogloss:1.02037	validation-mlogloss:1.03036
[157]	train-mlogloss:1.01960	validation-mlogloss:1.02986
[158]	train-mlogloss:1.01869	validation-mlogloss:1.02919
[159]	train-mlogloss:1.01798	validation-mlogloss:1.02845
[160]	train-mlogloss:1.01728	validation-mlogloss:1.02799
[161]	train-mlogloss:1.01658	validation-mlogloss:1.02754
[162]	train-mlogloss:1.01570	validation-mlogloss:1.02675
[163]	train-mlogloss:1.01496	validation-mlogloss:1.02607
[164]	train-mlogloss:1.01434	validation-mlogloss:1.02559
[165]	train-mlogloss:1.01356	validation-mlogloss:1.02505
[166]	train-mlogloss:1.01283	validation-mlogloss:1.02445
[167]	train-mlogloss:1.01213	validation-mlogloss:1.02387
[168]	train-mlogloss:1.01140	validation-mlogloss:1.02329
[169]	train-mlogloss:1.01071	validation-mlogloss:1.02266
[170]	train-mlogloss:1.01002	validation-mlogloss:1.02211
[171]	train-mlogloss:1.00920	validation-mlogloss:1.02143
[172]	train-mlogloss:1.00864	validation-mlogloss:1.02090
[173]	train-mlogloss:1.00800	validation-mlogloss:1.02027
[174]	train-mlogloss:1.00744	validation-mlogloss:1.01996
[175]	train-mlogloss:1.00689	validation-mlogloss:1.01954
[176]	train-mlogloss:1.00625	validation-mlogloss:1.01900
[177]	train-mlogloss:1.00567	validation-mlogloss:1.01858
[178]	train-mlogloss:1.00509	validation-mlogloss:1.01815
[179]	train-mlogloss:1.00441	validation-mlogloss:1.01747
[180]	train-mlogloss:1.00367	validation-mlogloss:1.01702
[181]	train-mlogloss:1.00304	validation-mlogloss:1.01642
[182]	train-mlogloss:1.00243	validation-mlogloss:1.01592
[183]	train-mlogloss:1.00188	validation-mlogloss:1.01539
[184]	train-mlogloss:1.00127	validation-mlogloss:1.01477
[185]	train-mlogloss:1.00081	validation-mlogloss:1.01451
[186]	train-mlogloss:1.00020	validation-mlogloss:1.01397
[187]	train-mlogloss:0.99973	validation-mlogloss:1.01382
[188]	train-mlogloss:0.99900	validation-mlogloss:1.01327
[189]	train-mlogloss:0.99849	validation-mlogloss:1.01295
[190]	train-mlogloss:0.99787	validation-mlogloss:1.01231
[191]	train-mlogloss:0.99726	validation-mlogloss:1.01169
[192]	train-mlogloss:0.99661	validation-mlogloss:1.01106
[193]	train-mlogloss:0.99607	validation-mlogloss:1.01053
[194]	train-mlogloss:0.99544	validation-mlogloss:1.00997
[195]	train-mlogloss:0.99489	validation-mlogloss:1.00958
[196]	train-mlogloss:0.99442	validation-mlogloss:1.00908
[197]	train-mlogloss:0.99375	validation-mlogloss:1.00857
[198]	train-mlogloss:0.99317	validation-mlogloss:1.00796
[199]	train-mlogloss:0.99262	validation-mlogloss:1.00759
[200]	train-mlogloss:0.99213	validation-mlogloss:1.00720
[201]	train-mlogloss:0.99169	validation-mlogloss:1.00678
[202]	train-mlogloss:0.99124	validation-mlogloss:1.00633
[203]	train-mlogloss:0.99066	validation-mlogloss:1.00597
[204]	train-mlogloss:0.99009	validation-mlogloss:1.00549
[205]	train-mlogloss:0.98948	validation-mlogloss:1.00486
[206]	train-mlogloss:0.98898	validation-mlogloss:1.00463
[207]	train-mlogloss:0.98851	validation-mlogloss:1.00421
[208]	train-mlogloss:0.98794	validation-mlogloss:1.00382
[209]	train-mlogloss:0.98750	validation-mlogloss:1.00349
[210]	train-mlogloss:0.98695	validation-mlogloss:1.00320
[211]	train-mlogloss:0.98647	validation-mlogloss:1.00285
[212]	train-mlogloss:0.98603	validation-mlogloss:1.00252
[213]	train-mlogloss:0.98561	validation-mlogloss:1.00212
[214]	train-mlogloss:0.98524	validation-mlogloss:1.00173
[215]	train-mlogloss:0.98473	validation-mlogloss:1.00134
[216]	train-mlogloss:0.98435	validation-mlogloss:1.00113
[217]	train-mlogloss:0.98398	validation-mlogloss:1.00087
[218]	train-mlogloss:0.98357	validation-mlogloss:1.00059
[219]	train-mlogloss:0.98317	validation-mlogloss:1.00018
[220]	train-mlogloss:0.98280	validation-mlogloss:0.99981
[221]	train-mlogloss:0.98232	validation-mlogloss:0.99943
[222]	train-mlogloss:0.98197	validation-mlogloss:0.99906
[223]	train-mlogloss:0.98154	validation-mlogloss:0.99875
[224]	train-mlogloss:0.98103	validation-mlogloss:0.99819
[225]	train-mlogloss:0.98045	validation-mlogloss:0.99765
[226]	train-mlogloss:0.98011	validation-mlogloss:0.99744
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 1 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.27 [%]
Global accuracy score (test) = 60.19 [%]
Global F1 score (train) = 60.1 [%]
Global F1 score (test) = 60.4 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.48      0.43      0.45       400
MODERATE-INTENSITY       0.56      0.66      0.61       400
         SEDENTARY       0.64      0.71      0.67       400
VIGOROUS-INTENSITY       0.79      0.60      0.68       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 21: 60.19 [%]
F1-score capturado en la ejecución 21: 60.4 [%]

=== EJECUCIÓN 22 ===

--- TRAIN (ejecución 22) ---

--- TEST (ejecución 22) ---
2025-11-07 09:13:17.638430: 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 09:13:17.649512: 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 00:00:1762503197.662696 2305200 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503197.666906 2305200 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503197.677441 2305200 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503197.677467 2305200 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503197.677469 2305200 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503197.677471 2305200 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:13:17.680693: 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:1.38046	validation-mlogloss:1.38017
[1]	train-mlogloss:1.37481	validation-mlogloss:1.37444
[2]	train-mlogloss:1.36929	validation-mlogloss:1.36898
[3]	train-mlogloss:1.36399	validation-mlogloss:1.36359
[4]	train-mlogloss:1.35858	validation-mlogloss:1.35815
[5]	train-mlogloss:1.35340	validation-mlogloss:1.35306
[6]	train-mlogloss:1.34822	validation-mlogloss:1.34795
[7]	train-mlogloss:1.34298	validation-mlogloss:1.34272
[8]	train-mlogloss:1.33805	validation-mlogloss:1.33792
[9]	train-mlogloss:1.33322	validation-mlogloss:1.33301
[10]	train-mlogloss:1.32848	validation-mlogloss:1.32824
[11]	train-mlogloss:1.32372	validation-mlogloss:1.32333
[12]	train-mlogloss:1.31898	validation-mlogloss:1.31847
[13]	train-mlogloss:1.31424	validation-mlogloss:1.31354
[14]	train-mlogloss:1.30971	validation-mlogloss:1.30884
[15]	train-mlogloss:1.30530	validation-mlogloss:1.30422
[16]	train-mlogloss:1.30080	validation-mlogloss:1.29970
[17]	train-mlogloss:1.29618	validation-mlogloss:1.29512
[18]	train-mlogloss:1.29211	validation-mlogloss:1.29116
[19]	train-mlogloss:1.28755	validation-mlogloss:1.28660
[20]	train-mlogloss:1.28363	validation-mlogloss:1.28272
[21]	train-mlogloss:1.27924	validation-mlogloss:1.27827
[22]	train-mlogloss:1.27495	validation-mlogloss:1.27399
[23]	train-mlogloss:1.27103	validation-mlogloss:1.27004
[24]	train-mlogloss:1.26707	validation-mlogloss:1.26594
[25]	train-mlogloss:1.26305	validation-mlogloss:1.26176
[26]	train-mlogloss:1.25930	validation-mlogloss:1.25781
[27]	train-mlogloss:1.25562	validation-mlogloss:1.25403
[28]	train-mlogloss:1.25202	validation-mlogloss:1.25044
[29]	train-mlogloss:1.24847	validation-mlogloss:1.24714
[30]	train-mlogloss:1.24493	validation-mlogloss:1.24364
[31]	train-mlogloss:1.24136	validation-mlogloss:1.23985
[32]	train-mlogloss:1.23788	validation-mlogloss:1.23650
[33]	train-mlogloss:1.23449	validation-mlogloss:1.23323
[34]	train-mlogloss:1.23098	validation-mlogloss:1.22969
[35]	train-mlogloss:1.22762	validation-mlogloss:1.22626
[36]	train-mlogloss:1.22431	validation-mlogloss:1.22281
[37]	train-mlogloss:1.22122	validation-mlogloss:1.21987
[38]	train-mlogloss:1.21801	validation-mlogloss:1.21669
[39]	train-mlogloss:1.21477	validation-mlogloss:1.21320
[40]	train-mlogloss:1.21175	validation-mlogloss:1.21032
[41]	train-mlogloss:1.20881	validation-mlogloss:1.20744
[42]	train-mlogloss:1.20560	validation-mlogloss:1.20410
[43]	train-mlogloss:1.20278	validation-mlogloss:1.20119
[44]	train-mlogloss:1.19985	validation-mlogloss:1.19813
[45]	train-mlogloss:1.19705	validation-mlogloss:1.19551
[46]	train-mlogloss:1.19421	validation-mlogloss:1.19282
[47]	train-mlogloss:1.19148	validation-mlogloss:1.19013
[48]	train-mlogloss:1.18878	validation-mlogloss:1.18758
[49]	train-mlogloss:1.18620	validation-mlogloss:1.18517
[50]	train-mlogloss:1.18346	validation-mlogloss:1.18236
[51]	train-mlogloss:1.18085	validation-mlogloss:1.17980
[52]	train-mlogloss:1.17793	validation-mlogloss:1.17675
[53]	train-mlogloss:1.17549	validation-mlogloss:1.17441
[54]	train-mlogloss:1.17302	validation-mlogloss:1.17203
[55]	train-mlogloss:1.17013	validation-mlogloss:1.16925
[56]	train-mlogloss:1.16763	validation-mlogloss:1.16660
[57]	train-mlogloss:1.16506	validation-mlogloss:1.16388
[58]	train-mlogloss:1.16291	validation-mlogloss:1.16187
[59]	train-mlogloss:1.16055	validation-mlogloss:1.15957
[60]	train-mlogloss:1.15821	validation-mlogloss:1.15707
[61]	train-mlogloss:1.15589	validation-mlogloss:1.15470
[62]	train-mlogloss:1.15367	validation-mlogloss:1.15254
[63]	train-mlogloss:1.15152	validation-mlogloss:1.15037
[64]	train-mlogloss:1.14938	validation-mlogloss:1.14847
[65]	train-mlogloss:1.14697	validation-mlogloss:1.14606
[66]	train-mlogloss:1.14479	validation-mlogloss:1.14392
[67]	train-mlogloss:1.14241	validation-mlogloss:1.14159
[68]	train-mlogloss:1.14041	validation-mlogloss:1.13981
[69]	train-mlogloss:1.13832	validation-mlogloss:1.13773
[70]	train-mlogloss:1.13631	validation-mlogloss:1.13593
[71]	train-mlogloss:1.13402	validation-mlogloss:1.13355
[72]	train-mlogloss:1.13195	validation-mlogloss:1.13166
[73]	train-mlogloss:1.12987	validation-mlogloss:1.12955
[74]	train-mlogloss:1.12773	validation-mlogloss:1.12720
[75]	train-mlogloss:1.12575	validation-mlogloss:1.12535
[76]	train-mlogloss:1.12361	validation-mlogloss:1.12323
[77]	train-mlogloss:1.12174	validation-mlogloss:1.12131
[78]	train-mlogloss:1.12000	validation-mlogloss:1.11992
[79]	train-mlogloss:1.11818	validation-mlogloss:1.11830
[80]	train-mlogloss:1.11637	validation-mlogloss:1.11662
[81]	train-mlogloss:1.11462	validation-mlogloss:1.11504
[82]	train-mlogloss:1.11271	validation-mlogloss:1.11327
[83]	train-mlogloss:1.11105	validation-mlogloss:1.11150
[84]	train-mlogloss:1.10912	validation-mlogloss:1.10970
[85]	train-mlogloss:1.10734	validation-mlogloss:1.10798
[86]	train-mlogloss:1.10556	validation-mlogloss:1.10618
[87]	train-mlogloss:1.10395	validation-mlogloss:1.10497
[88]	train-mlogloss:1.10226	validation-mlogloss:1.10330
[89]	train-mlogloss:1.10039	validation-mlogloss:1.10151
[90]	train-mlogloss:1.09871	validation-mlogloss:1.09993
[91]	train-mlogloss:1.09689	validation-mlogloss:1.09839
[92]	train-mlogloss:1.09523	validation-mlogloss:1.09677
[93]	train-mlogloss:1.09371	validation-mlogloss:1.09518
[94]	train-mlogloss:1.09209	validation-mlogloss:1.09353
[95]	train-mlogloss:1.09042	validation-mlogloss:1.09210
[96]	train-mlogloss:1.08870	validation-mlogloss:1.09050
[97]	train-mlogloss:1.08714	validation-mlogloss:1.08903
[98]	train-mlogloss:1.08568	validation-mlogloss:1.08753
[99]	train-mlogloss:1.08419	validation-mlogloss:1.08622
[100]	train-mlogloss:1.08267	validation-mlogloss:1.08454
[101]	train-mlogloss:1.08126	validation-mlogloss:1.08333
[102]	train-mlogloss:1.07984	validation-mlogloss:1.08211
[103]	train-mlogloss:1.07841	validation-mlogloss:1.08056
[104]	train-mlogloss:1.07699	validation-mlogloss:1.07933
[105]	train-mlogloss:1.07547	validation-mlogloss:1.07793
[106]	train-mlogloss:1.07421	validation-mlogloss:1.07687
[107]	train-mlogloss:1.07269	validation-mlogloss:1.07544
[108]	train-mlogloss:1.07134	validation-mlogloss:1.07404
[109]	train-mlogloss:1.07007	validation-mlogloss:1.07302
[110]	train-mlogloss:1.06871	validation-mlogloss:1.07195
[111]	train-mlogloss:1.06744	validation-mlogloss:1.07087
[112]	train-mlogloss:1.06604	validation-mlogloss:1.06944
[113]	train-mlogloss:1.06461	validation-mlogloss:1.06806
[114]	train-mlogloss:1.06334	validation-mlogloss:1.06692
[115]	train-mlogloss:1.06197	validation-mlogloss:1.06570
[116]	train-mlogloss:1.06078	validation-mlogloss:1.06480
[117]	train-mlogloss:1.05961	validation-mlogloss:1.06384
[118]	train-mlogloss:1.05840	validation-mlogloss:1.06275
[119]	train-mlogloss:1.05723	validation-mlogloss:1.06160
[120]	train-mlogloss:1.05605	validation-mlogloss:1.06062
[121]	train-mlogloss:1.05474	validation-mlogloss:1.05938
[122]	train-mlogloss:1.05359	validation-mlogloss:1.05833
[123]	train-mlogloss:1.05229	validation-mlogloss:1.05713
[124]	train-mlogloss:1.05094	validation-mlogloss:1.05578
[125]	train-mlogloss:1.04975	validation-mlogloss:1.05464
[126]	train-mlogloss:1.04868	validation-mlogloss:1.05389
[127]	train-mlogloss:1.04766	validation-mlogloss:1.05296
[128]	train-mlogloss:1.04668	validation-mlogloss:1.05204
[129]	train-mlogloss:1.04537	validation-mlogloss:1.05086
[130]	train-mlogloss:1.04432	validation-mlogloss:1.04993
[131]	train-mlogloss:1.04324	validation-mlogloss:1.04884
[132]	train-mlogloss:1.04233	validation-mlogloss:1.04809
[133]	train-mlogloss:1.04126	validation-mlogloss:1.04714
[134]	train-mlogloss:1.04024	validation-mlogloss:1.04623
[135]	train-mlogloss:1.03916	validation-mlogloss:1.04522
[136]	train-mlogloss:1.03814	validation-mlogloss:1.04445
[137]	train-mlogloss:1.03707	validation-mlogloss:1.04345
[138]	train-mlogloss:1.03620	validation-mlogloss:1.04277
[139]	train-mlogloss:1.03523	validation-mlogloss:1.04185
[140]	train-mlogloss:1.03428	validation-mlogloss:1.04112
[141]	train-mlogloss:1.03331	validation-mlogloss:1.04031
[142]	train-mlogloss:1.03246	validation-mlogloss:1.03958
[143]	train-mlogloss:1.03148	validation-mlogloss:1.03861
[144]	train-mlogloss:1.03079	validation-mlogloss:1.03818
[145]	train-mlogloss:1.02994	validation-mlogloss:1.03732
[146]	train-mlogloss:1.02923	validation-mlogloss:1.03647
[147]	train-mlogloss:1.02822	validation-mlogloss:1.03559
[148]	train-mlogloss:1.02746	validation-mlogloss:1.03498
[149]	train-mlogloss:1.02647	validation-mlogloss:1.03416
[150]	train-mlogloss:1.02555	validation-mlogloss:1.03325
[151]	train-mlogloss:1.02472	validation-mlogloss:1.03244
[152]	train-mlogloss:1.02386	validation-mlogloss:1.03180
[153]	train-mlogloss:1.02303	validation-mlogloss:1.03119
[154]	train-mlogloss:1.02227	validation-mlogloss:1.03061
[155]	train-mlogloss:1.02157	validation-mlogloss:1.03008
[156]	train-mlogloss:1.02080	validation-mlogloss:1.02953
[157]	train-mlogloss:1.01992	validation-mlogloss:1.02894
[158]	train-mlogloss:1.01914	validation-mlogloss:1.02833
[159]	train-mlogloss:1.01825	validation-mlogloss:1.02764
[160]	train-mlogloss:1.01740	validation-mlogloss:1.02702
[161]	train-mlogloss:1.01646	validation-mlogloss:1.02606
[162]	train-mlogloss:1.01555	validation-mlogloss:1.02540
[163]	train-mlogloss:1.01488	validation-mlogloss:1.02480
[164]	train-mlogloss:1.01412	validation-mlogloss:1.02415
[165]	train-mlogloss:1.01325	validation-mlogloss:1.02328
[166]	train-mlogloss:1.01248	validation-mlogloss:1.02268
[167]	train-mlogloss:1.01177	validation-mlogloss:1.02213
[168]	train-mlogloss:1.01113	validation-mlogloss:1.02178
[169]	train-mlogloss:1.01056	validation-mlogloss:1.02128
[170]	train-mlogloss:1.00989	validation-mlogloss:1.02051
[171]	train-mlogloss:1.00923	validation-mlogloss:1.01985
[172]	train-mlogloss:1.00833	validation-mlogloss:1.01923
[173]	train-mlogloss:1.00756	validation-mlogloss:1.01863
[174]	train-mlogloss:1.00684	validation-mlogloss:1.01811
[175]	train-mlogloss:1.00600	validation-mlogloss:1.01752
[176]	train-mlogloss:1.00541	validation-mlogloss:1.01709
[177]	train-mlogloss:1.00471	validation-mlogloss:1.01660
[178]	train-mlogloss:1.00406	validation-mlogloss:1.01601
[179]	train-mlogloss:1.00333	validation-mlogloss:1.01538
[180]	train-mlogloss:1.00270	validation-mlogloss:1.01492
[181]	train-mlogloss:1.00200	validation-mlogloss:1.01438
[182]	train-mlogloss:1.00131	validation-mlogloss:1.01375
[183]	train-mlogloss:1.00071	validation-mlogloss:1.01334
[184]	train-mlogloss:1.00017	validation-mlogloss:1.01277
[185]	train-mlogloss:0.99956	validation-mlogloss:1.01221
[186]	train-mlogloss:0.99891	validation-mlogloss:1.01153
[187]	train-mlogloss:0.99824	validation-mlogloss:1.01095
[188]	train-mlogloss:0.99766	validation-mlogloss:1.01048
[189]	train-mlogloss:0.99711	validation-mlogloss:1.01017
[190]	train-mlogloss:0.99654	validation-mlogloss:1.00970
[191]	train-mlogloss:0.99610	validation-mlogloss:1.00945
[192]	train-mlogloss:0.99563	validation-mlogloss:1.00905
[193]	train-mlogloss:0.99521	validation-mlogloss:1.00866
[194]	train-mlogloss:0.99463	validation-mlogloss:1.00827
[195]	train-mlogloss:0.99412	validation-mlogloss:1.00799
[196]	train-mlogloss:0.99362	validation-mlogloss:1.00774
[197]	train-mlogloss:0.99317	validation-mlogloss:1.00731
[198]	train-mlogloss:0.99249	validation-mlogloss:1.00674
[199]	train-mlogloss:0.99201	validation-mlogloss:1.00621
[200]	train-mlogloss:0.99153	validation-mlogloss:1.00598
[201]	train-mlogloss:0.99102	validation-mlogloss:1.00551
[202]	train-mlogloss:0.99042	validation-mlogloss:1.00507
[203]	train-mlogloss:0.98989	validation-mlogloss:1.00460
[204]	train-mlogloss:0.98938	validation-mlogloss:1.00417
[205]	train-mlogloss:0.98886	validation-mlogloss:1.00389
[206]	train-mlogloss:0.98838	validation-mlogloss:1.00353
[207]	train-mlogloss:0.98798	validation-mlogloss:1.00328
[208]	train-mlogloss:0.98748	validation-mlogloss:1.00287
[209]	train-mlogloss:0.98692	validation-mlogloss:1.00227
[210]	train-mlogloss:0.98651	validation-mlogloss:1.00196
[211]	train-mlogloss:0.98594	validation-mlogloss:1.00146
[212]	train-mlogloss:0.98538	validation-mlogloss:1.00114
[213]	train-mlogloss:0.98486	validation-mlogloss:1.00080
[214]	train-mlogloss:0.98438	validation-mlogloss:1.00048
[215]	train-mlogloss:0.98387	validation-mlogloss:1.00006
[216]	train-mlogloss:0.98337	validation-mlogloss:0.99969
[217]	train-mlogloss:0.98300	validation-mlogloss:0.99923
[218]	train-mlogloss:0.98255	validation-mlogloss:0.99885
[219]	train-mlogloss:0.98217	validation-mlogloss:0.99856
[220]	train-mlogloss:0.98170	validation-mlogloss:0.99804
[221]	train-mlogloss:0.98128	validation-mlogloss:0.99759
[222]	train-mlogloss:0.98075	validation-mlogloss:0.99718
[223]	train-mlogloss:0.98036	validation-mlogloss:0.99697
[224]	train-mlogloss:0.98002	validation-mlogloss:0.99675
[225]	train-mlogloss:0.97955	validation-mlogloss:0.99657
[226]	train-mlogloss:0.97917	validation-mlogloss:0.99621
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.62 [%]
Global accuracy score (test) = 59.55 [%]
Global F1 score (train) = 60.72 [%]
Global F1 score (test) = 59.82 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.40      0.41       400
MODERATE-INTENSITY       0.54      0.67      0.60       400
         SEDENTARY       0.66      0.73      0.69       400
VIGOROUS-INTENSITY       0.83      0.59      0.69       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 22: 59.55 [%]
F1-score capturado en la ejecución 22: 59.82 [%]

=== EJECUCIÓN 23 ===

--- TRAIN (ejecución 23) ---

--- TEST (ejecución 23) ---
2025-11-07 09:13:28.855081: 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 09:13:28.866727: 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 00:00:1762503208.880198 2305447 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503208.884281 2305447 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503208.894461 2305447 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503208.894483 2305447 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503208.894526 2305447 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503208.894529 2305447 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:13:28.897731: 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:1.38035	validation-mlogloss:1.38026
[1]	train-mlogloss:1.37465	validation-mlogloss:1.37472
[2]	train-mlogloss:1.36943	validation-mlogloss:1.36937
[3]	train-mlogloss:1.36391	validation-mlogloss:1.36380
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[5]	train-mlogloss:1.35317	validation-mlogloss:1.35303
[6]	train-mlogloss:1.34785	validation-mlogloss:1.34764
[7]	train-mlogloss:1.34259	validation-mlogloss:1.34240
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[9]	train-mlogloss:1.33288	validation-mlogloss:1.33291
[10]	train-mlogloss:1.32818	validation-mlogloss:1.32818
[11]	train-mlogloss:1.32339	validation-mlogloss:1.32346
[12]	train-mlogloss:1.31894	validation-mlogloss:1.31912
[13]	train-mlogloss:1.31419	validation-mlogloss:1.31434
[14]	train-mlogloss:1.30962	validation-mlogloss:1.30975
[15]	train-mlogloss:1.30511	validation-mlogloss:1.30511
[16]	train-mlogloss:1.30062	validation-mlogloss:1.30068
[17]	train-mlogloss:1.29636	validation-mlogloss:1.29642
[18]	train-mlogloss:1.29186	validation-mlogloss:1.29194
[19]	train-mlogloss:1.28765	validation-mlogloss:1.28780
[20]	train-mlogloss:1.28314	validation-mlogloss:1.28341
[21]	train-mlogloss:1.27892	validation-mlogloss:1.27912
[22]	train-mlogloss:1.27493	validation-mlogloss:1.27508
[23]	train-mlogloss:1.27100	validation-mlogloss:1.27099
[24]	train-mlogloss:1.26667	validation-mlogloss:1.26672
[25]	train-mlogloss:1.26255	validation-mlogloss:1.26242
[26]	train-mlogloss:1.25876	validation-mlogloss:1.25893
[27]	train-mlogloss:1.25519	validation-mlogloss:1.25530
[28]	train-mlogloss:1.25160	validation-mlogloss:1.25161
[29]	train-mlogloss:1.24773	validation-mlogloss:1.24767
[30]	train-mlogloss:1.24410	validation-mlogloss:1.24421
[31]	train-mlogloss:1.24060	validation-mlogloss:1.24091
[32]	train-mlogloss:1.23726	validation-mlogloss:1.23757
[33]	train-mlogloss:1.23383	validation-mlogloss:1.23417
[34]	train-mlogloss:1.23017	validation-mlogloss:1.23036
[35]	train-mlogloss:1.22659	validation-mlogloss:1.22670
[36]	train-mlogloss:1.22339	validation-mlogloss:1.22352
[37]	train-mlogloss:1.22009	validation-mlogloss:1.22018
[38]	train-mlogloss:1.21693	validation-mlogloss:1.21737
[39]	train-mlogloss:1.21388	validation-mlogloss:1.21424
[40]	train-mlogloss:1.21094	validation-mlogloss:1.21117
[41]	train-mlogloss:1.20768	validation-mlogloss:1.20787
[42]	train-mlogloss:1.20475	validation-mlogloss:1.20524
[43]	train-mlogloss:1.20193	validation-mlogloss:1.20277
[44]	train-mlogloss:1.19900	validation-mlogloss:1.19998
[45]	train-mlogloss:1.19580	validation-mlogloss:1.19669
[46]	train-mlogloss:1.19295	validation-mlogloss:1.19385
[47]	train-mlogloss:1.18990	validation-mlogloss:1.19076
[48]	train-mlogloss:1.18689	validation-mlogloss:1.18767
[49]	train-mlogloss:1.18413	validation-mlogloss:1.18497
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[51]	train-mlogloss:1.17891	validation-mlogloss:1.17982
[52]	train-mlogloss:1.17625	validation-mlogloss:1.17725
[53]	train-mlogloss:1.17368	validation-mlogloss:1.17484
[54]	train-mlogloss:1.17113	validation-mlogloss:1.17233
[55]	train-mlogloss:1.16861	validation-mlogloss:1.16982
[56]	train-mlogloss:1.16611	validation-mlogloss:1.16739
[57]	train-mlogloss:1.16362	validation-mlogloss:1.16501
[58]	train-mlogloss:1.16125	validation-mlogloss:1.16284
[59]	train-mlogloss:1.15864	validation-mlogloss:1.16018
[60]	train-mlogloss:1.15629	validation-mlogloss:1.15782
[61]	train-mlogloss:1.15395	validation-mlogloss:1.15564
[62]	train-mlogloss:1.15166	validation-mlogloss:1.15347
[63]	train-mlogloss:1.14938	validation-mlogloss:1.15112
[64]	train-mlogloss:1.14711	validation-mlogloss:1.14916
[65]	train-mlogloss:1.14504	validation-mlogloss:1.14708
[66]	train-mlogloss:1.14296	validation-mlogloss:1.14505
[67]	train-mlogloss:1.14088	validation-mlogloss:1.14317
[68]	train-mlogloss:1.13880	validation-mlogloss:1.14115
[69]	train-mlogloss:1.13678	validation-mlogloss:1.13917
[70]	train-mlogloss:1.13475	validation-mlogloss:1.13714
[71]	train-mlogloss:1.13265	validation-mlogloss:1.13497
[72]	train-mlogloss:1.13062	validation-mlogloss:1.13306
[73]	train-mlogloss:1.12856	validation-mlogloss:1.13100
[74]	train-mlogloss:1.12665	validation-mlogloss:1.12930
[75]	train-mlogloss:1.12488	validation-mlogloss:1.12771
[76]	train-mlogloss:1.12289	validation-mlogloss:1.12557
[77]	train-mlogloss:1.12099	validation-mlogloss:1.12375
[78]	train-mlogloss:1.11920	validation-mlogloss:1.12210
[79]	train-mlogloss:1.11719	validation-mlogloss:1.11998
[80]	train-mlogloss:1.11523	validation-mlogloss:1.11810
[81]	train-mlogloss:1.11345	validation-mlogloss:1.11647
[82]	train-mlogloss:1.11159	validation-mlogloss:1.11455
[83]	train-mlogloss:1.10985	validation-mlogloss:1.11280
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[109]	train-mlogloss:1.06996	validation-mlogloss:1.07449
[110]	train-mlogloss:1.06853	validation-mlogloss:1.07315
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[112]	train-mlogloss:1.06579	validation-mlogloss:1.07056
[113]	train-mlogloss:1.06453	validation-mlogloss:1.06942
[114]	train-mlogloss:1.06326	validation-mlogloss:1.06841
[115]	train-mlogloss:1.06196	validation-mlogloss:1.06709
[116]	train-mlogloss:1.06077	validation-mlogloss:1.06601
[117]	train-mlogloss:1.05965	validation-mlogloss:1.06495
[118]	train-mlogloss:1.05838	validation-mlogloss:1.06372
[119]	train-mlogloss:1.05717	validation-mlogloss:1.06269
[120]	train-mlogloss:1.05593	validation-mlogloss:1.06160
[121]	train-mlogloss:1.05477	validation-mlogloss:1.06057
[122]	train-mlogloss:1.05353	validation-mlogloss:1.05954
[123]	train-mlogloss:1.05238	validation-mlogloss:1.05852
[124]	train-mlogloss:1.05131	validation-mlogloss:1.05759
[125]	train-mlogloss:1.05017	validation-mlogloss:1.05647
[126]	train-mlogloss:1.04914	validation-mlogloss:1.05565
[127]	train-mlogloss:1.04806	validation-mlogloss:1.05474
[128]	train-mlogloss:1.04698	validation-mlogloss:1.05372
[129]	train-mlogloss:1.04595	validation-mlogloss:1.05272
[130]	train-mlogloss:1.04492	validation-mlogloss:1.05191
[131]	train-mlogloss:1.04394	validation-mlogloss:1.05103
[132]	train-mlogloss:1.04287	validation-mlogloss:1.04998
[133]	train-mlogloss:1.04188	validation-mlogloss:1.04905
[134]	train-mlogloss:1.04074	validation-mlogloss:1.04803
[135]	train-mlogloss:1.03979	validation-mlogloss:1.04712
[136]	train-mlogloss:1.03887	validation-mlogloss:1.04631
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[150]	train-mlogloss:1.02624	validation-mlogloss:1.03488
[151]	train-mlogloss:1.02534	validation-mlogloss:1.03426
[152]	train-mlogloss:1.02435	validation-mlogloss:1.03349
[153]	train-mlogloss:1.02355	validation-mlogloss:1.03284
[154]	train-mlogloss:1.02265	validation-mlogloss:1.03192
[155]	train-mlogloss:1.02175	validation-mlogloss:1.03099
[156]	train-mlogloss:1.02093	validation-mlogloss:1.03045
[157]	train-mlogloss:1.02024	validation-mlogloss:1.02982
[158]	train-mlogloss:1.01931	validation-mlogloss:1.02899
[159]	train-mlogloss:1.01869	validation-mlogloss:1.02849
[160]	train-mlogloss:1.01797	validation-mlogloss:1.02786
[161]	train-mlogloss:1.01709	validation-mlogloss:1.02716
[162]	train-mlogloss:1.01647	validation-mlogloss:1.02656
[163]	train-mlogloss:1.01570	validation-mlogloss:1.02593
[164]	train-mlogloss:1.01475	validation-mlogloss:1.02520
[165]	train-mlogloss:1.01400	validation-mlogloss:1.02461
[166]	train-mlogloss:1.01325	validation-mlogloss:1.02411
[167]	train-mlogloss:1.01258	validation-mlogloss:1.02344
[168]	train-mlogloss:1.01180	validation-mlogloss:1.02274
[169]	train-mlogloss:1.01114	validation-mlogloss:1.02221
[170]	train-mlogloss:1.01045	validation-mlogloss:1.02163
[171]	train-mlogloss:1.00958	validation-mlogloss:1.02105
[172]	train-mlogloss:1.00881	validation-mlogloss:1.02044
[173]	train-mlogloss:1.00808	validation-mlogloss:1.01986
[174]	train-mlogloss:1.00746	validation-mlogloss:1.01928
[175]	train-mlogloss:1.00688	validation-mlogloss:1.01882
[176]	train-mlogloss:1.00633	validation-mlogloss:1.01830
[177]	train-mlogloss:1.00567	validation-mlogloss:1.01769
[178]	train-mlogloss:1.00507	validation-mlogloss:1.01717
[179]	train-mlogloss:1.00441	validation-mlogloss:1.01645
[180]	train-mlogloss:1.00383	validation-mlogloss:1.01609
[181]	train-mlogloss:1.00318	validation-mlogloss:1.01559
[182]	train-mlogloss:1.00261	validation-mlogloss:1.01494
[183]	train-mlogloss:1.00192	validation-mlogloss:1.01443
[184]	train-mlogloss:1.00136	validation-mlogloss:1.01391
[185]	train-mlogloss:1.00057	validation-mlogloss:1.01316
[186]	train-mlogloss:0.99992	validation-mlogloss:1.01268
[187]	train-mlogloss:0.99926	validation-mlogloss:1.01222
[188]	train-mlogloss:0.99872	validation-mlogloss:1.01174
[189]	train-mlogloss:0.99816	validation-mlogloss:1.01125
[190]	train-mlogloss:0.99754	validation-mlogloss:1.01070
[191]	train-mlogloss:0.99707	validation-mlogloss:1.01038
[192]	train-mlogloss:0.99646	validation-mlogloss:1.00989
[193]	train-mlogloss:0.99593	validation-mlogloss:1.00952
[194]	train-mlogloss:0.99537	validation-mlogloss:1.00897
[195]	train-mlogloss:0.99478	validation-mlogloss:1.00848
[196]	train-mlogloss:0.99427	validation-mlogloss:1.00810
[197]	train-mlogloss:0.99376	validation-mlogloss:1.00773
[198]	train-mlogloss:0.99332	validation-mlogloss:1.00736
[199]	train-mlogloss:0.99276	validation-mlogloss:1.00685
[200]	train-mlogloss:0.99227	validation-mlogloss:1.00639
[201]	train-mlogloss:0.99177	validation-mlogloss:1.00588
[202]	train-mlogloss:0.99132	validation-mlogloss:1.00564
[203]	train-mlogloss:0.99088	validation-mlogloss:1.00534
[204]	train-mlogloss:0.99043	validation-mlogloss:1.00507
[205]	train-mlogloss:0.98981	validation-mlogloss:1.00459
[206]	train-mlogloss:0.98942	validation-mlogloss:1.00425
[207]	train-mlogloss:0.98895	validation-mlogloss:1.00391
[208]	train-mlogloss:0.98849	validation-mlogloss:1.00362
[209]	train-mlogloss:0.98795	validation-mlogloss:1.00309
[210]	train-mlogloss:0.98753	validation-mlogloss:1.00267
[211]	train-mlogloss:0.98706	validation-mlogloss:1.00228
[212]	train-mlogloss:0.98668	validation-mlogloss:1.00196
[213]	train-mlogloss:0.98612	validation-mlogloss:1.00157
[214]	train-mlogloss:0.98571	validation-mlogloss:1.00136
[215]	train-mlogloss:0.98524	validation-mlogloss:1.00097
[216]	train-mlogloss:0.98479	validation-mlogloss:1.00056
[217]	train-mlogloss:0.98430	validation-mlogloss:1.00025
[218]	train-mlogloss:0.98393	validation-mlogloss:0.99995
[219]	train-mlogloss:0.98343	validation-mlogloss:0.99953
[220]	train-mlogloss:0.98300	validation-mlogloss:0.99913
[221]	train-mlogloss:0.98260	validation-mlogloss:0.99880
[222]	train-mlogloss:0.98223	validation-mlogloss:0.99851
[223]	train-mlogloss:0.98184	validation-mlogloss:0.99839
[224]	train-mlogloss:0.98135	validation-mlogloss:0.99801
[225]	train-mlogloss:0.98095	validation-mlogloss:0.99776
[226]	train-mlogloss:0.98047	validation-mlogloss:0.99744
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.22 [%]
Global accuracy score (test) = 59.61 [%]
Global F1 score (train) = 60.23 [%]
Global F1 score (test) = 59.99 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.42      0.44       400
MODERATE-INTENSITY       0.57      0.67      0.61       400
         SEDENTARY       0.62      0.70      0.66       400
VIGOROUS-INTENSITY       0.83      0.59      0.69       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 23: 59.61 [%]
F1-score capturado en la ejecución 23: 59.99 [%]

=== EJECUCIÓN 24 ===

--- TRAIN (ejecución 24) ---

--- TEST (ejecución 24) ---
2025-11-07 09:13:39.794114: 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 09:13:39.805330: 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 00:00:1762503219.819151 2305695 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503219.823476 2305695 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503219.833975 2305695 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503219.834002 2305695 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503219.834004 2305695 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503219.834006 2305695 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:13:39.837292: 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:1.38054	validation-mlogloss:1.38079
[1]	train-mlogloss:1.37459	validation-mlogloss:1.37467
[2]	train-mlogloss:1.36866	validation-mlogloss:1.36878
[3]	train-mlogloss:1.36320	validation-mlogloss:1.36319
[4]	train-mlogloss:1.35780	validation-mlogloss:1.35794
[5]	train-mlogloss:1.35242	validation-mlogloss:1.35254
[6]	train-mlogloss:1.34718	validation-mlogloss:1.34717
[7]	train-mlogloss:1.34191	validation-mlogloss:1.34163
[8]	train-mlogloss:1.33711	validation-mlogloss:1.33666
[9]	train-mlogloss:1.33223	validation-mlogloss:1.33180
[10]	train-mlogloss:1.32720	validation-mlogloss:1.32661
[11]	train-mlogloss:1.32239	validation-mlogloss:1.32162
[12]	train-mlogloss:1.31804	validation-mlogloss:1.31727
[13]	train-mlogloss:1.31330	validation-mlogloss:1.31261
[14]	train-mlogloss:1.30875	validation-mlogloss:1.30820
[15]	train-mlogloss:1.30397	validation-mlogloss:1.30339
[16]	train-mlogloss:1.29950	validation-mlogloss:1.29900
[17]	train-mlogloss:1.29520	validation-mlogloss:1.29483
[18]	train-mlogloss:1.29065	validation-mlogloss:1.29007
[19]	train-mlogloss:1.28647	validation-mlogloss:1.28563
[20]	train-mlogloss:1.28247	validation-mlogloss:1.28172
[21]	train-mlogloss:1.27815	validation-mlogloss:1.27733
[22]	train-mlogloss:1.27394	validation-mlogloss:1.27299
[23]	train-mlogloss:1.26982	validation-mlogloss:1.26875
[24]	train-mlogloss:1.26590	validation-mlogloss:1.26501
[25]	train-mlogloss:1.26212	validation-mlogloss:1.26121
[26]	train-mlogloss:1.25832	validation-mlogloss:1.25729
[27]	train-mlogloss:1.25465	validation-mlogloss:1.25368
[28]	train-mlogloss:1.25063	validation-mlogloss:1.24981
[29]	train-mlogloss:1.24718	validation-mlogloss:1.24647
[30]	train-mlogloss:1.24377	validation-mlogloss:1.24336
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[181]	train-mlogloss:1.00128	validation-mlogloss:1.01298
[182]	train-mlogloss:1.00064	validation-mlogloss:1.01245
[183]	train-mlogloss:0.99998	validation-mlogloss:1.01185
[184]	train-mlogloss:0.99942	validation-mlogloss:1.01133
[185]	train-mlogloss:0.99884	validation-mlogloss:1.01081
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[187]	train-mlogloss:0.99757	validation-mlogloss:1.00991
[188]	train-mlogloss:0.99693	validation-mlogloss:1.00940
[189]	train-mlogloss:0.99640	validation-mlogloss:1.00904
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[191]	train-mlogloss:0.99527	validation-mlogloss:1.00809
[192]	train-mlogloss:0.99466	validation-mlogloss:1.00754
[193]	train-mlogloss:0.99419	validation-mlogloss:1.00716
[194]	train-mlogloss:0.99363	validation-mlogloss:1.00664
[195]	train-mlogloss:0.99304	validation-mlogloss:1.00621
[196]	train-mlogloss:0.99242	validation-mlogloss:1.00559
[197]	train-mlogloss:0.99192	validation-mlogloss:1.00518
[198]	train-mlogloss:0.99149	validation-mlogloss:1.00479
[199]	train-mlogloss:0.99103	validation-mlogloss:1.00438
[200]	train-mlogloss:0.99055	validation-mlogloss:1.00405
[201]	train-mlogloss:0.99001	validation-mlogloss:1.00365
[202]	train-mlogloss:0.98939	validation-mlogloss:1.00322
[203]	train-mlogloss:0.98870	validation-mlogloss:1.00286
[204]	train-mlogloss:0.98830	validation-mlogloss:1.00266
[205]	train-mlogloss:0.98784	validation-mlogloss:1.00229
[206]	train-mlogloss:0.98733	validation-mlogloss:1.00174
[207]	train-mlogloss:0.98686	validation-mlogloss:1.00138
[208]	train-mlogloss:0.98651	validation-mlogloss:1.00118
[209]	train-mlogloss:0.98598	validation-mlogloss:1.00079
[210]	train-mlogloss:0.98558	validation-mlogloss:1.00048
[211]	train-mlogloss:0.98514	validation-mlogloss:1.00013
[212]	train-mlogloss:0.98469	validation-mlogloss:0.99969
[213]	train-mlogloss:0.98419	validation-mlogloss:0.99933
[214]	train-mlogloss:0.98369	validation-mlogloss:0.99898
[215]	train-mlogloss:0.98325	validation-mlogloss:0.99871
[216]	train-mlogloss:0.98280	validation-mlogloss:0.99832
[217]	train-mlogloss:0.98232	validation-mlogloss:0.99790
[218]	train-mlogloss:0.98192	validation-mlogloss:0.99757
[219]	train-mlogloss:0.98152	validation-mlogloss:0.99730
[220]	train-mlogloss:0.98109	validation-mlogloss:0.99706
[221]	train-mlogloss:0.98063	validation-mlogloss:0.99681
[222]	train-mlogloss:0.98028	validation-mlogloss:0.99659
[223]	train-mlogloss:0.97994	validation-mlogloss:0.99627
[224]	train-mlogloss:0.97944	validation-mlogloss:0.99590
[225]	train-mlogloss:0.97899	validation-mlogloss:0.99558
[226]	train-mlogloss:0.97851	validation-mlogloss:0.99521
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.79 [%]
Global accuracy score (test) = 59.74 [%]
Global F1 score (train) = 59.52 [%]
Global F1 score (test) = 59.81 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.37      0.40       400
MODERATE-INTENSITY       0.55      0.70      0.62       400
         SEDENTARY       0.65      0.72      0.68       400
VIGOROUS-INTENSITY       0.83      0.59      0.69       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.59      1545


Accuracy capturado en la ejecución 24: 59.74 [%]
F1-score capturado en la ejecución 24: 59.81 [%]

=== EJECUCIÓN 25 ===

--- TRAIN (ejecución 25) ---

--- TEST (ejecución 25) ---
2025-11-07 09:13:50.834421: 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 09:13:50.845587: 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 00:00:1762503230.858612 2305941 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503230.862619 2305941 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503230.872373 2305941 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503230.872391 2305941 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503230.872393 2305941 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503230.872395 2305941 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:13:50.875435: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.38054	validation-mlogloss:1.38012
[1]	train-mlogloss:1.37504	validation-mlogloss:1.37423
[2]	train-mlogloss:1.36934	validation-mlogloss:1.36844
[3]	train-mlogloss:1.36409	validation-mlogloss:1.36311
[4]	train-mlogloss:1.35863	validation-mlogloss:1.35753
[5]	train-mlogloss:1.35358	validation-mlogloss:1.35211
[6]	train-mlogloss:1.34808	validation-mlogloss:1.34649
[7]	train-mlogloss:1.34292	validation-mlogloss:1.34105
[8]	train-mlogloss:1.33788	validation-mlogloss:1.33576
[9]	train-mlogloss:1.33284	validation-mlogloss:1.33058
[10]	train-mlogloss:1.32807	validation-mlogloss:1.32574
[11]	train-mlogloss:1.32299	validation-mlogloss:1.32040
[12]	train-mlogloss:1.31835	validation-mlogloss:1.31584
[13]	train-mlogloss:1.31378	validation-mlogloss:1.31105
[14]	train-mlogloss:1.30906	validation-mlogloss:1.30613
[15]	train-mlogloss:1.30464	validation-mlogloss:1.30144
[16]	train-mlogloss:1.30034	validation-mlogloss:1.29679
[17]	train-mlogloss:1.29602	validation-mlogloss:1.29207
[18]	train-mlogloss:1.29176	validation-mlogloss:1.28768
[19]	train-mlogloss:1.28765	validation-mlogloss:1.28351
[20]	train-mlogloss:1.28312	validation-mlogloss:1.27874
[21]	train-mlogloss:1.27926	validation-mlogloss:1.27493
[22]	train-mlogloss:1.27540	validation-mlogloss:1.27085
[23]	train-mlogloss:1.27162	validation-mlogloss:1.26704
[24]	train-mlogloss:1.26769	validation-mlogloss:1.26284
[25]	train-mlogloss:1.26382	validation-mlogloss:1.25899
[26]	train-mlogloss:1.26006	validation-mlogloss:1.25527
[27]	train-mlogloss:1.25636	validation-mlogloss:1.25170
[28]	train-mlogloss:1.25267	validation-mlogloss:1.24801
[29]	train-mlogloss:1.24918	validation-mlogloss:1.24449
[30]	train-mlogloss:1.24548	validation-mlogloss:1.24037
[31]	train-mlogloss:1.24214	validation-mlogloss:1.23707
[32]	train-mlogloss:1.23857	validation-mlogloss:1.23346
[33]	train-mlogloss:1.23526	validation-mlogloss:1.23017
[34]	train-mlogloss:1.23185	validation-mlogloss:1.22667
[35]	train-mlogloss:1.22843	validation-mlogloss:1.22294
[36]	train-mlogloss:1.22522	validation-mlogloss:1.21949
[37]	train-mlogloss:1.22205	validation-mlogloss:1.21645
[38]	train-mlogloss:1.21861	validation-mlogloss:1.21297
[39]	train-mlogloss:1.21551	validation-mlogloss:1.20997
[40]	train-mlogloss:1.21251	validation-mlogloss:1.20686
[41]	train-mlogloss:1.20943	validation-mlogloss:1.20348
[42]	train-mlogloss:1.20616	validation-mlogloss:1.19993
[43]	train-mlogloss:1.20306	validation-mlogloss:1.19647
[44]	train-mlogloss:1.20020	validation-mlogloss:1.19367
[45]	train-mlogloss:1.19746	validation-mlogloss:1.19085
[46]	train-mlogloss:1.19455	validation-mlogloss:1.18793
[47]	train-mlogloss:1.19176	validation-mlogloss:1.18546
[48]	train-mlogloss:1.18914	validation-mlogloss:1.18293
[49]	train-mlogloss:1.18636	validation-mlogloss:1.18006
[50]	train-mlogloss:1.18367	validation-mlogloss:1.17743
[51]	train-mlogloss:1.18109	validation-mlogloss:1.17494
[52]	train-mlogloss:1.17854	validation-mlogloss:1.17239
[53]	train-mlogloss:1.17569	validation-mlogloss:1.16932
[54]	train-mlogloss:1.17338	validation-mlogloss:1.16696
[55]	train-mlogloss:1.17092	validation-mlogloss:1.16443
[56]	train-mlogloss:1.16848	validation-mlogloss:1.16201
[57]	train-mlogloss:1.16623	validation-mlogloss:1.15966
[58]	train-mlogloss:1.16379	validation-mlogloss:1.15725
[59]	train-mlogloss:1.16138	validation-mlogloss:1.15492
[60]	train-mlogloss:1.15909	validation-mlogloss:1.15262
[61]	train-mlogloss:1.15678	validation-mlogloss:1.15044
[62]	train-mlogloss:1.15458	validation-mlogloss:1.14818
[63]	train-mlogloss:1.15231	validation-mlogloss:1.14592
[64]	train-mlogloss:1.15017	validation-mlogloss:1.14385
[65]	train-mlogloss:1.14794	validation-mlogloss:1.14163
[66]	train-mlogloss:1.14579	validation-mlogloss:1.13930
[67]	train-mlogloss:1.14383	validation-mlogloss:1.13728
[68]	train-mlogloss:1.14164	validation-mlogloss:1.13505
[69]	train-mlogloss:1.13941	validation-mlogloss:1.13257
[70]	train-mlogloss:1.13738	validation-mlogloss:1.13047
[71]	train-mlogloss:1.13542	validation-mlogloss:1.12857
[72]	train-mlogloss:1.13346	validation-mlogloss:1.12676
[73]	train-mlogloss:1.13131	validation-mlogloss:1.12457
[74]	train-mlogloss:1.12949	validation-mlogloss:1.12304
[75]	train-mlogloss:1.12762	validation-mlogloss:1.12126
[76]	train-mlogloss:1.12587	validation-mlogloss:1.11966
[77]	train-mlogloss:1.12381	validation-mlogloss:1.11741
[78]	train-mlogloss:1.12172	validation-mlogloss:1.11536
[79]	train-mlogloss:1.11991	validation-mlogloss:1.11362
[80]	train-mlogloss:1.11780	validation-mlogloss:1.11149
[81]	train-mlogloss:1.11593	validation-mlogloss:1.10946
[82]	train-mlogloss:1.11417	validation-mlogloss:1.10773
[83]	train-mlogloss:1.11239	validation-mlogloss:1.10584
[84]	train-mlogloss:1.11072	validation-mlogloss:1.10426
[85]	train-mlogloss:1.10908	validation-mlogloss:1.10278
[86]	train-mlogloss:1.10750	validation-mlogloss:1.10121
[87]	train-mlogloss:1.10569	validation-mlogloss:1.09942
[88]	train-mlogloss:1.10411	validation-mlogloss:1.09796
[89]	train-mlogloss:1.10233	validation-mlogloss:1.09625
[90]	train-mlogloss:1.10068	validation-mlogloss:1.09469
[91]	train-mlogloss:1.09899	validation-mlogloss:1.09296
[92]	train-mlogloss:1.09724	validation-mlogloss:1.09131
[93]	train-mlogloss:1.09573	validation-mlogloss:1.08965
[94]	train-mlogloss:1.09401	validation-mlogloss:1.08791
[95]	train-mlogloss:1.09236	validation-mlogloss:1.08640
[96]	train-mlogloss:1.09093	validation-mlogloss:1.08500
[97]	train-mlogloss:1.08935	validation-mlogloss:1.08339
[98]	train-mlogloss:1.08785	validation-mlogloss:1.08203
[99]	train-mlogloss:1.08630	validation-mlogloss:1.08047
[100]	train-mlogloss:1.08483	validation-mlogloss:1.07890
[101]	train-mlogloss:1.08325	validation-mlogloss:1.07732
[102]	train-mlogloss:1.08171	validation-mlogloss:1.07580
[103]	train-mlogloss:1.08039	validation-mlogloss:1.07444
[104]	train-mlogloss:1.07905	validation-mlogloss:1.07297
[105]	train-mlogloss:1.07750	validation-mlogloss:1.07121
[106]	train-mlogloss:1.07619	validation-mlogloss:1.07008
[107]	train-mlogloss:1.07479	validation-mlogloss:1.06872
[108]	train-mlogloss:1.07345	validation-mlogloss:1.06735
[109]	train-mlogloss:1.07203	validation-mlogloss:1.06606
[110]	train-mlogloss:1.07080	validation-mlogloss:1.06498
[111]	train-mlogloss:1.06951	validation-mlogloss:1.06379
[112]	train-mlogloss:1.06813	validation-mlogloss:1.06232
[113]	train-mlogloss:1.06691	validation-mlogloss:1.06130
[114]	train-mlogloss:1.06565	validation-mlogloss:1.05994
[115]	train-mlogloss:1.06446	validation-mlogloss:1.05878
[116]	train-mlogloss:1.06332	validation-mlogloss:1.05777
[117]	train-mlogloss:1.06214	validation-mlogloss:1.05670
[118]	train-mlogloss:1.06099	validation-mlogloss:1.05547
[119]	train-mlogloss:1.05986	validation-mlogloss:1.05436
[120]	train-mlogloss:1.05867	validation-mlogloss:1.05334
[121]	train-mlogloss:1.05744	validation-mlogloss:1.05200
[122]	train-mlogloss:1.05622	validation-mlogloss:1.05093
[123]	train-mlogloss:1.05506	validation-mlogloss:1.04980
[124]	train-mlogloss:1.05385	validation-mlogloss:1.04872
[125]	train-mlogloss:1.05278	validation-mlogloss:1.04780
[126]	train-mlogloss:1.05157	validation-mlogloss:1.04639
[127]	train-mlogloss:1.05049	validation-mlogloss:1.04534
[128]	train-mlogloss:1.04944	validation-mlogloss:1.04429
[129]	train-mlogloss:1.04823	validation-mlogloss:1.04303
[130]	train-mlogloss:1.04714	validation-mlogloss:1.04191
[131]	train-mlogloss:1.04599	validation-mlogloss:1.04089
[132]	train-mlogloss:1.04501	validation-mlogloss:1.03995
[133]	train-mlogloss:1.04399	validation-mlogloss:1.03903
[134]	train-mlogloss:1.04306	validation-mlogloss:1.03803
[135]	train-mlogloss:1.04204	validation-mlogloss:1.03707
[136]	train-mlogloss:1.04115	validation-mlogloss:1.03631
[137]	train-mlogloss:1.04012	validation-mlogloss:1.03540
[138]	train-mlogloss:1.03921	validation-mlogloss:1.03476
[139]	train-mlogloss:1.03837	validation-mlogloss:1.03407
[140]	train-mlogloss:1.03734	validation-mlogloss:1.03323
[141]	train-mlogloss:1.03651	validation-mlogloss:1.03264
[142]	train-mlogloss:1.03570	validation-mlogloss:1.03176
[143]	train-mlogloss:1.03480	validation-mlogloss:1.03103
[144]	train-mlogloss:1.03384	validation-mlogloss:1.03003
[145]	train-mlogloss:1.03284	validation-mlogloss:1.02899
[146]	train-mlogloss:1.03204	validation-mlogloss:1.02851
[147]	train-mlogloss:1.03116	validation-mlogloss:1.02775
[148]	train-mlogloss:1.03035	validation-mlogloss:1.02689
[149]	train-mlogloss:1.02962	validation-mlogloss:1.02637
[150]	train-mlogloss:1.02879	validation-mlogloss:1.02546
[151]	train-mlogloss:1.02792	validation-mlogloss:1.02471
[152]	train-mlogloss:1.02693	validation-mlogloss:1.02372
[153]	train-mlogloss:1.02611	validation-mlogloss:1.02291
[154]	train-mlogloss:1.02527	validation-mlogloss:1.02208
[155]	train-mlogloss:1.02443	validation-mlogloss:1.02121
[156]	train-mlogloss:1.02367	validation-mlogloss:1.02050
[157]	train-mlogloss:1.02291	validation-mlogloss:1.01968
[158]	train-mlogloss:1.02198	validation-mlogloss:1.01884
[159]	train-mlogloss:1.02115	validation-mlogloss:1.01802
[160]	train-mlogloss:1.02039	validation-mlogloss:1.01741
[161]	train-mlogloss:1.01977	validation-mlogloss:1.01694
[162]	train-mlogloss:1.01917	validation-mlogloss:1.01662
[163]	train-mlogloss:1.01837	validation-mlogloss:1.01593
[164]	train-mlogloss:1.01768	validation-mlogloss:1.01547
[165]	train-mlogloss:1.01686	validation-mlogloss:1.01481
[166]	train-mlogloss:1.01614	validation-mlogloss:1.01424
[167]	train-mlogloss:1.01551	validation-mlogloss:1.01352
[168]	train-mlogloss:1.01479	validation-mlogloss:1.01297
[169]	train-mlogloss:1.01399	validation-mlogloss:1.01207
[170]	train-mlogloss:1.01328	validation-mlogloss:1.01148
[171]	train-mlogloss:1.01255	validation-mlogloss:1.01094
[172]	train-mlogloss:1.01191	validation-mlogloss:1.01044
[173]	train-mlogloss:1.01115	validation-mlogloss:1.00968
[174]	train-mlogloss:1.01056	validation-mlogloss:1.00937
[175]	train-mlogloss:1.00992	validation-mlogloss:1.00893
[176]	train-mlogloss:1.00919	validation-mlogloss:1.00833
[177]	train-mlogloss:1.00863	validation-mlogloss:1.00788
[178]	train-mlogloss:1.00803	validation-mlogloss:1.00731
[179]	train-mlogloss:1.00731	validation-mlogloss:1.00663
[180]	train-mlogloss:1.00661	validation-mlogloss:1.00596
[181]	train-mlogloss:1.00599	validation-mlogloss:1.00539
[182]	train-mlogloss:1.00541	validation-mlogloss:1.00487
[183]	train-mlogloss:1.00475	validation-mlogloss:1.00421
[184]	train-mlogloss:1.00412	validation-mlogloss:1.00365
[185]	train-mlogloss:1.00345	validation-mlogloss:1.00308
[186]	train-mlogloss:1.00283	validation-mlogloss:1.00261
[187]	train-mlogloss:1.00228	validation-mlogloss:1.00211
[188]	train-mlogloss:1.00167	validation-mlogloss:1.00155
[189]	train-mlogloss:1.00115	validation-mlogloss:1.00118
[190]	train-mlogloss:1.00057	validation-mlogloss:1.00086
[191]	train-mlogloss:1.00008	validation-mlogloss:1.00041
[192]	train-mlogloss:0.99954	validation-mlogloss:1.00003
[193]	train-mlogloss:0.99894	validation-mlogloss:0.99957
[194]	train-mlogloss:0.99847	validation-mlogloss:0.99906
[195]	train-mlogloss:0.99801	validation-mlogloss:0.99867
[196]	train-mlogloss:0.99744	validation-mlogloss:0.99812
[197]	train-mlogloss:0.99699	validation-mlogloss:0.99766
[198]	train-mlogloss:0.99659	validation-mlogloss:0.99737
[199]	train-mlogloss:0.99604	validation-mlogloss:0.99693
[200]	train-mlogloss:0.99555	validation-mlogloss:0.99641
[201]	train-mlogloss:0.99492	validation-mlogloss:0.99583
[202]	train-mlogloss:0.99438	validation-mlogloss:0.99532
[203]	train-mlogloss:0.99384	validation-mlogloss:0.99489
[204]	train-mlogloss:0.99338	validation-mlogloss:0.99448
[205]	train-mlogloss:0.99291	validation-mlogloss:0.99396
[206]	train-mlogloss:0.99244	validation-mlogloss:0.99350
[207]	train-mlogloss:0.99202	validation-mlogloss:0.99299
[208]	train-mlogloss:0.99141	validation-mlogloss:0.99265
[209]	train-mlogloss:0.99095	validation-mlogloss:0.99239
[210]	train-mlogloss:0.99048	validation-mlogloss:0.99214
[211]	train-mlogloss:0.99010	validation-mlogloss:0.99190
[212]	train-mlogloss:0.98970	validation-mlogloss:0.99154
[213]	train-mlogloss:0.98933	validation-mlogloss:0.99138
[214]	train-mlogloss:0.98886	validation-mlogloss:0.99079
[215]	train-mlogloss:0.98851	validation-mlogloss:0.99043
[216]	train-mlogloss:0.98806	validation-mlogloss:0.99021
[217]	train-mlogloss:0.98766	validation-mlogloss:0.98982
[218]	train-mlogloss:0.98731	validation-mlogloss:0.98963
[219]	train-mlogloss:0.98694	validation-mlogloss:0.98944
[220]	train-mlogloss:0.98654	validation-mlogloss:0.98908
[221]	train-mlogloss:0.98601	validation-mlogloss:0.98869
[222]	train-mlogloss:0.98559	validation-mlogloss:0.98852
[223]	train-mlogloss:0.98519	validation-mlogloss:0.98825
[224]	train-mlogloss:0.98485	validation-mlogloss:0.98790
[225]	train-mlogloss:0.98430	validation-mlogloss:0.98757
[226]	train-mlogloss:0.98380	validation-mlogloss:0.98715
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)
Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 1 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.34 [%]
Global accuracy score (test) = 59.29 [%]
Global F1 score (train) = 60.35 [%]
Global F1 score (test) = 59.36 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.37      0.40       400
MODERATE-INTENSITY       0.55      0.69      0.62       400
         SEDENTARY       0.65      0.71      0.68       400
VIGOROUS-INTENSITY       0.80      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.61      0.59      0.59      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 25: 59.29 [%]
F1-score capturado en la ejecución 25: 59.36 [%]

=== EJECUCIÓN 26 ===

--- TRAIN (ejecución 26) ---

--- TEST (ejecución 26) ---
2025-11-07 09:14:01.768328: 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 09:14:01.779826: 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 00:00:1762503241.792703 2306182 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503241.796629 2306182 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503241.806442 2306182 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503241.806457 2306182 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503241.806460 2306182 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503241.806461 2306182 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:14:01.809408: 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:1.38070	validation-mlogloss:1.38047
[1]	train-mlogloss:1.37500	validation-mlogloss:1.37468
[2]	train-mlogloss:1.36951	validation-mlogloss:1.36893
[3]	train-mlogloss:1.36397	validation-mlogloss:1.36324
[4]	train-mlogloss:1.35894	validation-mlogloss:1.35748
[5]	train-mlogloss:1.35373	validation-mlogloss:1.35204
[6]	train-mlogloss:1.34871	validation-mlogloss:1.34702
[7]	train-mlogloss:1.34363	validation-mlogloss:1.34186
[8]	train-mlogloss:1.33872	validation-mlogloss:1.33689
[9]	train-mlogloss:1.33349	validation-mlogloss:1.33144
[10]	train-mlogloss:1.32856	validation-mlogloss:1.32638
[11]	train-mlogloss:1.32375	validation-mlogloss:1.32128
[12]	train-mlogloss:1.31908	validation-mlogloss:1.31656
[13]	train-mlogloss:1.31428	validation-mlogloss:1.31152
[14]	train-mlogloss:1.30971	validation-mlogloss:1.30682
[15]	train-mlogloss:1.30495	validation-mlogloss:1.30187
[16]	train-mlogloss:1.30069	validation-mlogloss:1.29766
[17]	train-mlogloss:1.29640	validation-mlogloss:1.29344
[18]	train-mlogloss:1.29225	validation-mlogloss:1.28938
[19]	train-mlogloss:1.28772	validation-mlogloss:1.28469
[20]	train-mlogloss:1.28355	validation-mlogloss:1.28053
[21]	train-mlogloss:1.27926	validation-mlogloss:1.27600
[22]	train-mlogloss:1.27530	validation-mlogloss:1.27195
[23]	train-mlogloss:1.27149	validation-mlogloss:1.26807
[24]	train-mlogloss:1.26770	validation-mlogloss:1.26436
[25]	train-mlogloss:1.26394	validation-mlogloss:1.26064
[26]	train-mlogloss:1.25998	validation-mlogloss:1.25648
[27]	train-mlogloss:1.25609	validation-mlogloss:1.25254
[28]	train-mlogloss:1.25237	validation-mlogloss:1.24884
[29]	train-mlogloss:1.24864	validation-mlogloss:1.24502
[30]	train-mlogloss:1.24521	validation-mlogloss:1.24138
[31]	train-mlogloss:1.24171	validation-mlogloss:1.23809
[32]	train-mlogloss:1.23812	validation-mlogloss:1.23437
[33]	train-mlogloss:1.23485	validation-mlogloss:1.23123
[34]	train-mlogloss:1.23115	validation-mlogloss:1.22739
[35]	train-mlogloss:1.22769	validation-mlogloss:1.22376
[36]	train-mlogloss:1.22434	validation-mlogloss:1.22025
[37]	train-mlogloss:1.22112	validation-mlogloss:1.21662
[38]	train-mlogloss:1.21807	validation-mlogloss:1.21349
[39]	train-mlogloss:1.21501	validation-mlogloss:1.21042
[40]	train-mlogloss:1.21191	validation-mlogloss:1.20702
[41]	train-mlogloss:1.20894	validation-mlogloss:1.20404
[42]	train-mlogloss:1.20607	validation-mlogloss:1.20130
[43]	train-mlogloss:1.20312	validation-mlogloss:1.19838
[44]	train-mlogloss:1.20016	validation-mlogloss:1.19547
[45]	train-mlogloss:1.19746	validation-mlogloss:1.19289
[46]	train-mlogloss:1.19444	validation-mlogloss:1.18970
[47]	train-mlogloss:1.19166	validation-mlogloss:1.18692
[48]	train-mlogloss:1.18869	validation-mlogloss:1.18396
[49]	train-mlogloss:1.18583	validation-mlogloss:1.18087
[50]	train-mlogloss:1.18313	validation-mlogloss:1.17817
[51]	train-mlogloss:1.18055	validation-mlogloss:1.17562
[52]	train-mlogloss:1.17801	validation-mlogloss:1.17307
[53]	train-mlogloss:1.17532	validation-mlogloss:1.17040
[54]	train-mlogloss:1.17283	validation-mlogloss:1.16777
[55]	train-mlogloss:1.17030	validation-mlogloss:1.16521
[56]	train-mlogloss:1.16766	validation-mlogloss:1.16232
[57]	train-mlogloss:1.16508	validation-mlogloss:1.15965
[58]	train-mlogloss:1.16260	validation-mlogloss:1.15711
[59]	train-mlogloss:1.16006	validation-mlogloss:1.15445
[60]	train-mlogloss:1.15765	validation-mlogloss:1.15191
[61]	train-mlogloss:1.15552	validation-mlogloss:1.14993
[62]	train-mlogloss:1.15324	validation-mlogloss:1.14767
[63]	train-mlogloss:1.15083	validation-mlogloss:1.14520
[64]	train-mlogloss:1.14865	validation-mlogloss:1.14302
[65]	train-mlogloss:1.14622	validation-mlogloss:1.14057
[66]	train-mlogloss:1.14408	validation-mlogloss:1.13839
[67]	train-mlogloss:1.14201	validation-mlogloss:1.13647
[68]	train-mlogloss:1.13992	validation-mlogloss:1.13446
[69]	train-mlogloss:1.13784	validation-mlogloss:1.13249
[70]	train-mlogloss:1.13579	validation-mlogloss:1.13035
[71]	train-mlogloss:1.13359	validation-mlogloss:1.12791
[72]	train-mlogloss:1.13153	validation-mlogloss:1.12574
[73]	train-mlogloss:1.12960	validation-mlogloss:1.12397
[74]	train-mlogloss:1.12754	validation-mlogloss:1.12191
[75]	train-mlogloss:1.12556	validation-mlogloss:1.11991
[76]	train-mlogloss:1.12366	validation-mlogloss:1.11809
[77]	train-mlogloss:1.12171	validation-mlogloss:1.11617
[78]	train-mlogloss:1.11990	validation-mlogloss:1.11445
[79]	train-mlogloss:1.11812	validation-mlogloss:1.11279
[80]	train-mlogloss:1.11618	validation-mlogloss:1.11079
[81]	train-mlogloss:1.11432	validation-mlogloss:1.10902
[82]	train-mlogloss:1.11251	validation-mlogloss:1.10721
[83]	train-mlogloss:1.11071	validation-mlogloss:1.10529
[84]	train-mlogloss:1.10895	validation-mlogloss:1.10349
[85]	train-mlogloss:1.10715	validation-mlogloss:1.10150
[86]	train-mlogloss:1.10544	validation-mlogloss:1.09967
[87]	train-mlogloss:1.10374	validation-mlogloss:1.09783
[88]	train-mlogloss:1.10207	validation-mlogloss:1.09616
[89]	train-mlogloss:1.10040	validation-mlogloss:1.09453
[90]	train-mlogloss:1.09877	validation-mlogloss:1.09317
[91]	train-mlogloss:1.09706	validation-mlogloss:1.09117
[92]	train-mlogloss:1.09555	validation-mlogloss:1.08946
[93]	train-mlogloss:1.09400	validation-mlogloss:1.08789
[94]	train-mlogloss:1.09250	validation-mlogloss:1.08647
[95]	train-mlogloss:1.09083	validation-mlogloss:1.08473
[96]	train-mlogloss:1.08942	validation-mlogloss:1.08340
[97]	train-mlogloss:1.08802	validation-mlogloss:1.08210
[98]	train-mlogloss:1.08664	validation-mlogloss:1.08074
[99]	train-mlogloss:1.08533	validation-mlogloss:1.07950
[100]	train-mlogloss:1.08390	validation-mlogloss:1.07796
[101]	train-mlogloss:1.08252	validation-mlogloss:1.07673
[102]	train-mlogloss:1.08108	validation-mlogloss:1.07530
[103]	train-mlogloss:1.07959	validation-mlogloss:1.07369
[104]	train-mlogloss:1.07827	validation-mlogloss:1.07239
[105]	train-mlogloss:1.07689	validation-mlogloss:1.07099
[106]	train-mlogloss:1.07557	validation-mlogloss:1.06979
[107]	train-mlogloss:1.07431	validation-mlogloss:1.06847
[108]	train-mlogloss:1.07277	validation-mlogloss:1.06687
[109]	train-mlogloss:1.07147	validation-mlogloss:1.06579
[110]	train-mlogloss:1.07027	validation-mlogloss:1.06470
[111]	train-mlogloss:1.06902	validation-mlogloss:1.06341
[112]	train-mlogloss:1.06779	validation-mlogloss:1.06211
[113]	train-mlogloss:1.06647	validation-mlogloss:1.06101
[114]	train-mlogloss:1.06527	validation-mlogloss:1.05984
[115]	train-mlogloss:1.06403	validation-mlogloss:1.05866
[116]	train-mlogloss:1.06267	validation-mlogloss:1.05738
[117]	train-mlogloss:1.06149	validation-mlogloss:1.05633
[118]	train-mlogloss:1.06026	validation-mlogloss:1.05512
[119]	train-mlogloss:1.05910	validation-mlogloss:1.05400
[120]	train-mlogloss:1.05789	validation-mlogloss:1.05295
[121]	train-mlogloss:1.05678	validation-mlogloss:1.05191
[122]	train-mlogloss:1.05560	validation-mlogloss:1.05085
[123]	train-mlogloss:1.05452	validation-mlogloss:1.04994
[124]	train-mlogloss:1.05335	validation-mlogloss:1.04871
[125]	train-mlogloss:1.05227	validation-mlogloss:1.04767
[126]	train-mlogloss:1.05116	validation-mlogloss:1.04677
[127]	train-mlogloss:1.05018	validation-mlogloss:1.04582
[128]	train-mlogloss:1.04918	validation-mlogloss:1.04491
[129]	train-mlogloss:1.04824	validation-mlogloss:1.04415
[130]	train-mlogloss:1.04702	validation-mlogloss:1.04332
[131]	train-mlogloss:1.04594	validation-mlogloss:1.04209
[132]	train-mlogloss:1.04477	validation-mlogloss:1.04099
[133]	train-mlogloss:1.04375	validation-mlogloss:1.04006
[134]	train-mlogloss:1.04279	validation-mlogloss:1.03936
[135]	train-mlogloss:1.04167	validation-mlogloss:1.03836
[136]	train-mlogloss:1.04070	validation-mlogloss:1.03731
[137]	train-mlogloss:1.03977	validation-mlogloss:1.03636
[138]	train-mlogloss:1.03895	validation-mlogloss:1.03572
[139]	train-mlogloss:1.03800	validation-mlogloss:1.03474
[140]	train-mlogloss:1.03709	validation-mlogloss:1.03396
[141]	train-mlogloss:1.03607	validation-mlogloss:1.03292
[142]	train-mlogloss:1.03504	validation-mlogloss:1.03190
[143]	train-mlogloss:1.03408	validation-mlogloss:1.03122
[144]	train-mlogloss:1.03320	validation-mlogloss:1.03034
[145]	train-mlogloss:1.03223	validation-mlogloss:1.02948
[146]	train-mlogloss:1.03128	validation-mlogloss:1.02852
[147]	train-mlogloss:1.03049	validation-mlogloss:1.02767
[148]	train-mlogloss:1.02956	validation-mlogloss:1.02678
[149]	train-mlogloss:1.02877	validation-mlogloss:1.02597
[150]	train-mlogloss:1.02784	validation-mlogloss:1.02500
[151]	train-mlogloss:1.02687	validation-mlogloss:1.02412
[152]	train-mlogloss:1.02604	validation-mlogloss:1.02339
[153]	train-mlogloss:1.02527	validation-mlogloss:1.02276
[154]	train-mlogloss:1.02445	validation-mlogloss:1.02191
[155]	train-mlogloss:1.02358	validation-mlogloss:1.02094
[156]	train-mlogloss:1.02279	validation-mlogloss:1.02027
[157]	train-mlogloss:1.02201	validation-mlogloss:1.01958
[158]	train-mlogloss:1.02129	validation-mlogloss:1.01905
[159]	train-mlogloss:1.02051	validation-mlogloss:1.01844
[160]	train-mlogloss:1.01972	validation-mlogloss:1.01783
[161]	train-mlogloss:1.01899	validation-mlogloss:1.01717
[162]	train-mlogloss:1.01823	validation-mlogloss:1.01666
[163]	train-mlogloss:1.01750	validation-mlogloss:1.01587
[164]	train-mlogloss:1.01677	validation-mlogloss:1.01527
[165]	train-mlogloss:1.01607	validation-mlogloss:1.01498
[166]	train-mlogloss:1.01538	validation-mlogloss:1.01446
[167]	train-mlogloss:1.01473	validation-mlogloss:1.01379
[168]	train-mlogloss:1.01404	validation-mlogloss:1.01298
[169]	train-mlogloss:1.01330	validation-mlogloss:1.01211
[170]	train-mlogloss:1.01270	validation-mlogloss:1.01166
[171]	train-mlogloss:1.01208	validation-mlogloss:1.01117
[172]	train-mlogloss:1.01147	validation-mlogloss:1.01060
[173]	train-mlogloss:1.01078	validation-mlogloss:1.01007
[174]	train-mlogloss:1.01006	validation-mlogloss:1.00947
[175]	train-mlogloss:1.00933	validation-mlogloss:1.00888
[176]	train-mlogloss:1.00868	validation-mlogloss:1.00828
[177]	train-mlogloss:1.00803	validation-mlogloss:1.00767
[178]	train-mlogloss:1.00740	validation-mlogloss:1.00710
[179]	train-mlogloss:1.00682	validation-mlogloss:1.00654
[180]	train-mlogloss:1.00628	validation-mlogloss:1.00621
[181]	train-mlogloss:1.00571	validation-mlogloss:1.00571
[182]	train-mlogloss:1.00515	validation-mlogloss:1.00523
[183]	train-mlogloss:1.00452	validation-mlogloss:1.00469
[184]	train-mlogloss:1.00388	validation-mlogloss:1.00417
[185]	train-mlogloss:1.00332	validation-mlogloss:1.00354
[186]	train-mlogloss:1.00275	validation-mlogloss:1.00308
[187]	train-mlogloss:1.00228	validation-mlogloss:1.00271
[188]	train-mlogloss:1.00182	validation-mlogloss:1.00239
[189]	train-mlogloss:1.00126	validation-mlogloss:1.00187
[190]	train-mlogloss:1.00072	validation-mlogloss:1.00147
[191]	train-mlogloss:1.00014	validation-mlogloss:1.00095
[192]	train-mlogloss:0.99959	validation-mlogloss:1.00052
[193]	train-mlogloss:0.99894	validation-mlogloss:0.99998
[194]	train-mlogloss:0.99841	validation-mlogloss:0.99950
[195]	train-mlogloss:0.99793	validation-mlogloss:0.99900
[196]	train-mlogloss:0.99733	validation-mlogloss:0.99857
[197]	train-mlogloss:0.99687	validation-mlogloss:0.99825
[198]	train-mlogloss:0.99637	validation-mlogloss:0.99794
[199]	train-mlogloss:0.99588	validation-mlogloss:0.99749
[200]	train-mlogloss:0.99543	validation-mlogloss:0.99712
[201]	train-mlogloss:0.99488	validation-mlogloss:0.99677
[202]	train-mlogloss:0.99446	validation-mlogloss:0.99630
[203]	train-mlogloss:0.99386	validation-mlogloss:0.99583
[204]	train-mlogloss:0.99334	validation-mlogloss:0.99528
[205]	train-mlogloss:0.99290	validation-mlogloss:0.99492
[206]	train-mlogloss:0.99243	validation-mlogloss:0.99457
[207]	train-mlogloss:0.99206	validation-mlogloss:0.99436
[208]	train-mlogloss:0.99158	validation-mlogloss:0.99393
[209]	train-mlogloss:0.99110	validation-mlogloss:0.99353
[210]	train-mlogloss:0.99065	validation-mlogloss:0.99324
[211]	train-mlogloss:0.99016	validation-mlogloss:0.99300
[212]	train-mlogloss:0.98965	validation-mlogloss:0.99280
[213]	train-mlogloss:0.98912	validation-mlogloss:0.99233
[214]	train-mlogloss:0.98866	validation-mlogloss:0.99197
[215]	train-mlogloss:0.98832	validation-mlogloss:0.99161
[216]	train-mlogloss:0.98799	validation-mlogloss:0.99139
[217]	train-mlogloss:0.98768	validation-mlogloss:0.99108
[218]	train-mlogloss:0.98713	validation-mlogloss:0.99054
[219]	train-mlogloss:0.98677	validation-mlogloss:0.99032
[220]	train-mlogloss:0.98640	validation-mlogloss:0.99001
[221]	train-mlogloss:0.98599	validation-mlogloss:0.98970
[222]	train-mlogloss:0.98559	validation-mlogloss:0.98938
[223]	train-mlogloss:0.98513	validation-mlogloss:0.98907
[224]	train-mlogloss:0.98473	validation-mlogloss:0.98885
[225]	train-mlogloss:0.98433	validation-mlogloss:0.98859
[226]	train-mlogloss:0.98389	validation-mlogloss:0.98823
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.32 [%]
Global accuracy score (test) = 60.0 [%]
Global F1 score (train) = 60.32 [%]
Global F1 score (test) = 60.04 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.37      0.40       400
MODERATE-INTENSITY       0.55      0.69      0.62       400
         SEDENTARY       0.64      0.74      0.69       400
VIGOROUS-INTENSITY       0.85      0.59      0.70       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.60      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 26: 60.0 [%]
F1-score capturado en la ejecución 26: 60.04 [%]

=== EJECUCIÓN 27 ===

--- TRAIN (ejecución 27) ---

--- TEST (ejecución 27) ---
2025-11-07 09:14:12.799371: 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 09:14:12.810849: 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 00:00:1762503252.824070 2306430 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503252.828124 2306430 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503252.838128 2306430 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503252.838148 2306430 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503252.838151 2306430 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503252.838153 2306430 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:14:12.841226: 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:1.38058	validation-mlogloss:1.38054
[1]	train-mlogloss:1.37498	validation-mlogloss:1.37463
[2]	train-mlogloss:1.36940	validation-mlogloss:1.36893
[3]	train-mlogloss:1.36409	validation-mlogloss:1.36356
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[5]	train-mlogloss:1.35348	validation-mlogloss:1.35260
[6]	train-mlogloss:1.34834	validation-mlogloss:1.34728
[7]	train-mlogloss:1.34318	validation-mlogloss:1.34220
[8]	train-mlogloss:1.33809	validation-mlogloss:1.33703
[9]	train-mlogloss:1.33344	validation-mlogloss:1.33232
[10]	train-mlogloss:1.32846	validation-mlogloss:1.32727
[11]	train-mlogloss:1.32356	validation-mlogloss:1.32246
[12]	train-mlogloss:1.31879	validation-mlogloss:1.31758
[13]	train-mlogloss:1.31381	validation-mlogloss:1.31223
[14]	train-mlogloss:1.30896	validation-mlogloss:1.30691
[15]	train-mlogloss:1.30458	validation-mlogloss:1.30254
[16]	train-mlogloss:1.30021	validation-mlogloss:1.29811
[17]	train-mlogloss:1.29578	validation-mlogloss:1.29368
[18]	train-mlogloss:1.29133	validation-mlogloss:1.28907
[19]	train-mlogloss:1.28718	validation-mlogloss:1.28479
[20]	train-mlogloss:1.28269	validation-mlogloss:1.28009
[21]	train-mlogloss:1.27859	validation-mlogloss:1.27594
[22]	train-mlogloss:1.27439	validation-mlogloss:1.27150
[23]	train-mlogloss:1.27053	validation-mlogloss:1.26746
[24]	train-mlogloss:1.26648	validation-mlogloss:1.26343
[25]	train-mlogloss:1.26275	validation-mlogloss:1.25974
[26]	train-mlogloss:1.25887	validation-mlogloss:1.25572
[27]	train-mlogloss:1.25517	validation-mlogloss:1.25199
[28]	train-mlogloss:1.25132	validation-mlogloss:1.24790
[29]	train-mlogloss:1.24765	validation-mlogloss:1.24429
[30]	train-mlogloss:1.24372	validation-mlogloss:1.24023
[31]	train-mlogloss:1.24042	validation-mlogloss:1.23699
[32]	train-mlogloss:1.23695	validation-mlogloss:1.23345
[33]	train-mlogloss:1.23344	validation-mlogloss:1.22995
[34]	train-mlogloss:1.23003	validation-mlogloss:1.22673
[35]	train-mlogloss:1.22652	validation-mlogloss:1.22319
[36]	train-mlogloss:1.22334	validation-mlogloss:1.22018
[37]	train-mlogloss:1.21993	validation-mlogloss:1.21655
[38]	train-mlogloss:1.21673	validation-mlogloss:1.21346
[39]	train-mlogloss:1.21345	validation-mlogloss:1.21024
[40]	train-mlogloss:1.21011	validation-mlogloss:1.20689
[41]	train-mlogloss:1.20704	validation-mlogloss:1.20362
[42]	train-mlogloss:1.20419	validation-mlogloss:1.20071
[43]	train-mlogloss:1.20139	validation-mlogloss:1.19804
[44]	train-mlogloss:1.19823	validation-mlogloss:1.19473
[45]	train-mlogloss:1.19526	validation-mlogloss:1.19188
[46]	train-mlogloss:1.19206	validation-mlogloss:1.18868
[47]	train-mlogloss:1.18938	validation-mlogloss:1.18606
[48]	train-mlogloss:1.18633	validation-mlogloss:1.18300
[49]	train-mlogloss:1.18356	validation-mlogloss:1.18010
[50]	train-mlogloss:1.18086	validation-mlogloss:1.17733
[51]	train-mlogloss:1.17807	validation-mlogloss:1.17436
[52]	train-mlogloss:1.17542	validation-mlogloss:1.17196
[53]	train-mlogloss:1.17284	validation-mlogloss:1.16949
[54]	train-mlogloss:1.17011	validation-mlogloss:1.16669
[55]	train-mlogloss:1.16754	validation-mlogloss:1.16407
[56]	train-mlogloss:1.16514	validation-mlogloss:1.16186
[57]	train-mlogloss:1.16271	validation-mlogloss:1.15950
[58]	train-mlogloss:1.16002	validation-mlogloss:1.15659
[59]	train-mlogloss:1.15772	validation-mlogloss:1.15442
[60]	train-mlogloss:1.15542	validation-mlogloss:1.15227
[61]	train-mlogloss:1.15323	validation-mlogloss:1.15034
[62]	train-mlogloss:1.15067	validation-mlogloss:1.14778
[63]	train-mlogloss:1.14842	validation-mlogloss:1.14562
[64]	train-mlogloss:1.14616	validation-mlogloss:1.14351
[65]	train-mlogloss:1.14375	validation-mlogloss:1.14096
[66]	train-mlogloss:1.14169	validation-mlogloss:1.13890
[67]	train-mlogloss:1.13957	validation-mlogloss:1.13676
[68]	train-mlogloss:1.13755	validation-mlogloss:1.13484
[69]	train-mlogloss:1.13541	validation-mlogloss:1.13288
[70]	train-mlogloss:1.13337	validation-mlogloss:1.13092
[71]	train-mlogloss:1.13108	validation-mlogloss:1.12858
[72]	train-mlogloss:1.12909	validation-mlogloss:1.12651
[73]	train-mlogloss:1.12712	validation-mlogloss:1.12464
[74]	train-mlogloss:1.12517	validation-mlogloss:1.12277
[75]	train-mlogloss:1.12329	validation-mlogloss:1.12088
[76]	train-mlogloss:1.12129	validation-mlogloss:1.11888
[77]	train-mlogloss:1.11925	validation-mlogloss:1.11683
[78]	train-mlogloss:1.11739	validation-mlogloss:1.11506
[79]	train-mlogloss:1.11547	validation-mlogloss:1.11307
[80]	train-mlogloss:1.11377	validation-mlogloss:1.11143
[81]	train-mlogloss:1.11189	validation-mlogloss:1.10953
[82]	train-mlogloss:1.11010	validation-mlogloss:1.10798
[83]	train-mlogloss:1.10839	validation-mlogloss:1.10637
[84]	train-mlogloss:1.10674	validation-mlogloss:1.10471
[85]	train-mlogloss:1.10494	validation-mlogloss:1.10291
[86]	train-mlogloss:1.10314	validation-mlogloss:1.10115
[87]	train-mlogloss:1.10130	validation-mlogloss:1.09927
[88]	train-mlogloss:1.09946	validation-mlogloss:1.09742
[89]	train-mlogloss:1.09783	validation-mlogloss:1.09586
[90]	train-mlogloss:1.09629	validation-mlogloss:1.09450
[91]	train-mlogloss:1.09471	validation-mlogloss:1.09306
[92]	train-mlogloss:1.09300	validation-mlogloss:1.09127
[93]	train-mlogloss:1.09149	validation-mlogloss:1.08982
[94]	train-mlogloss:1.08977	validation-mlogloss:1.08832
[95]	train-mlogloss:1.08826	validation-mlogloss:1.08691
[96]	train-mlogloss:1.08678	validation-mlogloss:1.08534
[97]	train-mlogloss:1.08514	validation-mlogloss:1.08381
[98]	train-mlogloss:1.08373	validation-mlogloss:1.08255
[99]	train-mlogloss:1.08220	validation-mlogloss:1.08097
[100]	train-mlogloss:1.08069	validation-mlogloss:1.07954
[101]	train-mlogloss:1.07933	validation-mlogloss:1.07838
[102]	train-mlogloss:1.07792	validation-mlogloss:1.07702
[103]	train-mlogloss:1.07648	validation-mlogloss:1.07573
[104]	train-mlogloss:1.07500	validation-mlogloss:1.07433
[105]	train-mlogloss:1.07363	validation-mlogloss:1.07300
[106]	train-mlogloss:1.07219	validation-mlogloss:1.07146
[107]	train-mlogloss:1.07079	validation-mlogloss:1.07010
[108]	train-mlogloss:1.06956	validation-mlogloss:1.06892
[109]	train-mlogloss:1.06811	validation-mlogloss:1.06747
[110]	train-mlogloss:1.06669	validation-mlogloss:1.06595
[111]	train-mlogloss:1.06537	validation-mlogloss:1.06467
[112]	train-mlogloss:1.06393	validation-mlogloss:1.06332
[113]	train-mlogloss:1.06270	validation-mlogloss:1.06228
[114]	train-mlogloss:1.06151	validation-mlogloss:1.06123
[115]	train-mlogloss:1.06029	validation-mlogloss:1.06012
[116]	train-mlogloss:1.05898	validation-mlogloss:1.05903
[117]	train-mlogloss:1.05788	validation-mlogloss:1.05788
[118]	train-mlogloss:1.05683	validation-mlogloss:1.05707
[119]	train-mlogloss:1.05572	validation-mlogloss:1.05595
[120]	train-mlogloss:1.05440	validation-mlogloss:1.05455
[121]	train-mlogloss:1.05317	validation-mlogloss:1.05346
[122]	train-mlogloss:1.05196	validation-mlogloss:1.05227
[123]	train-mlogloss:1.05078	validation-mlogloss:1.05105
[124]	train-mlogloss:1.04982	validation-mlogloss:1.05030
[125]	train-mlogloss:1.04870	validation-mlogloss:1.04942
[126]	train-mlogloss:1.04765	validation-mlogloss:1.04854
[127]	train-mlogloss:1.04658	validation-mlogloss:1.04768
[128]	train-mlogloss:1.04536	validation-mlogloss:1.04636
[129]	train-mlogloss:1.04424	validation-mlogloss:1.04527
[130]	train-mlogloss:1.04325	validation-mlogloss:1.04447
[131]	train-mlogloss:1.04223	validation-mlogloss:1.04357
[132]	train-mlogloss:1.04115	validation-mlogloss:1.04268
[133]	train-mlogloss:1.04010	validation-mlogloss:1.04175
[134]	train-mlogloss:1.03918	validation-mlogloss:1.04087
[135]	train-mlogloss:1.03823	validation-mlogloss:1.03996
[136]	train-mlogloss:1.03721	validation-mlogloss:1.03909
[137]	train-mlogloss:1.03620	validation-mlogloss:1.03818
[138]	train-mlogloss:1.03523	validation-mlogloss:1.03736
[139]	train-mlogloss:1.03434	validation-mlogloss:1.03659
[140]	train-mlogloss:1.03341	validation-mlogloss:1.03580
[141]	train-mlogloss:1.03251	validation-mlogloss:1.03495
[142]	train-mlogloss:1.03149	validation-mlogloss:1.03404
[143]	train-mlogloss:1.03053	validation-mlogloss:1.03325
[144]	train-mlogloss:1.02965	validation-mlogloss:1.03242
[145]	train-mlogloss:1.02880	validation-mlogloss:1.03162
[146]	train-mlogloss:1.02785	validation-mlogloss:1.03071
[147]	train-mlogloss:1.02705	validation-mlogloss:1.03016
[148]	train-mlogloss:1.02618	validation-mlogloss:1.02926
[149]	train-mlogloss:1.02527	validation-mlogloss:1.02847
[150]	train-mlogloss:1.02430	validation-mlogloss:1.02753
[151]	train-mlogloss:1.02349	validation-mlogloss:1.02693
[152]	train-mlogloss:1.02267	validation-mlogloss:1.02618
[153]	train-mlogloss:1.02178	validation-mlogloss:1.02537
[154]	train-mlogloss:1.02098	validation-mlogloss:1.02491
[155]	train-mlogloss:1.02021	validation-mlogloss:1.02423
[156]	train-mlogloss:1.01929	validation-mlogloss:1.02342
[157]	train-mlogloss:1.01848	validation-mlogloss:1.02274
[158]	train-mlogloss:1.01766	validation-mlogloss:1.02180
[159]	train-mlogloss:1.01679	validation-mlogloss:1.02111
[160]	train-mlogloss:1.01593	validation-mlogloss:1.02050
[161]	train-mlogloss:1.01512	validation-mlogloss:1.01984
[162]	train-mlogloss:1.01423	validation-mlogloss:1.01897
[163]	train-mlogloss:1.01348	validation-mlogloss:1.01816
[164]	train-mlogloss:1.01268	validation-mlogloss:1.01749
[165]	train-mlogloss:1.01200	validation-mlogloss:1.01676
[166]	train-mlogloss:1.01122	validation-mlogloss:1.01597
[167]	train-mlogloss:1.01043	validation-mlogloss:1.01524
[168]	train-mlogloss:1.00971	validation-mlogloss:1.01445
[169]	train-mlogloss:1.00899	validation-mlogloss:1.01375
[170]	train-mlogloss:1.00831	validation-mlogloss:1.01323
[171]	train-mlogloss:1.00760	validation-mlogloss:1.01276
[172]	train-mlogloss:1.00692	validation-mlogloss:1.01218
[173]	train-mlogloss:1.00620	validation-mlogloss:1.01160
[174]	train-mlogloss:1.00555	validation-mlogloss:1.01108
[175]	train-mlogloss:1.00491	validation-mlogloss:1.01055
[176]	train-mlogloss:1.00424	validation-mlogloss:1.00998
[177]	train-mlogloss:1.00364	validation-mlogloss:1.00941
[178]	train-mlogloss:1.00297	validation-mlogloss:1.00893
[179]	train-mlogloss:1.00236	validation-mlogloss:1.00846
[180]	train-mlogloss:1.00176	validation-mlogloss:1.00800
[181]	train-mlogloss:1.00111	validation-mlogloss:1.00748
[182]	train-mlogloss:1.00049	validation-mlogloss:1.00686
[183]	train-mlogloss:0.99994	validation-mlogloss:1.00635
[184]	train-mlogloss:0.99933	validation-mlogloss:1.00586
[185]	train-mlogloss:0.99881	validation-mlogloss:1.00547
[186]	train-mlogloss:0.99818	validation-mlogloss:1.00504
[187]	train-mlogloss:0.99754	validation-mlogloss:1.00451
[188]	train-mlogloss:0.99698	validation-mlogloss:1.00403
[189]	train-mlogloss:0.99638	validation-mlogloss:1.00361
[190]	train-mlogloss:0.99577	validation-mlogloss:1.00308
[191]	train-mlogloss:0.99521	validation-mlogloss:1.00259
[192]	train-mlogloss:0.99467	validation-mlogloss:1.00219
[193]	train-mlogloss:0.99416	validation-mlogloss:1.00187
[194]	train-mlogloss:0.99361	validation-mlogloss:1.00141
[195]	train-mlogloss:0.99314	validation-mlogloss:1.00100
[196]	train-mlogloss:0.99257	validation-mlogloss:1.00057
[197]	train-mlogloss:0.99210	validation-mlogloss:1.00022
[198]	train-mlogloss:0.99157	validation-mlogloss:0.99979
[199]	train-mlogloss:0.99107	validation-mlogloss:0.99945
[200]	train-mlogloss:0.99040	validation-mlogloss:0.99891
[201]	train-mlogloss:0.98984	validation-mlogloss:0.99847
[202]	train-mlogloss:0.98945	validation-mlogloss:0.99817
[203]	train-mlogloss:0.98897	validation-mlogloss:0.99779
[204]	train-mlogloss:0.98850	validation-mlogloss:0.99747
[205]	train-mlogloss:0.98795	validation-mlogloss:0.99703
[206]	train-mlogloss:0.98742	validation-mlogloss:0.99647
[207]	train-mlogloss:0.98697	validation-mlogloss:0.99613
[208]	train-mlogloss:0.98648	validation-mlogloss:0.99573
[209]	train-mlogloss:0.98591	validation-mlogloss:0.99525
[210]	train-mlogloss:0.98543	validation-mlogloss:0.99493
[211]	train-mlogloss:0.98494	validation-mlogloss:0.99453
[212]	train-mlogloss:0.98447	validation-mlogloss:0.99412
[213]	train-mlogloss:0.98396	validation-mlogloss:0.99374
[214]	train-mlogloss:0.98344	validation-mlogloss:0.99330
[215]	train-mlogloss:0.98296	validation-mlogloss:0.99293
[216]	train-mlogloss:0.98256	validation-mlogloss:0.99267
[217]	train-mlogloss:0.98214	validation-mlogloss:0.99234
[218]	train-mlogloss:0.98162	validation-mlogloss:0.99193
[219]	train-mlogloss:0.98122	validation-mlogloss:0.99165
[220]	train-mlogloss:0.98073	validation-mlogloss:0.99123
[221]	train-mlogloss:0.98034	validation-mlogloss:0.99094
[222]	train-mlogloss:0.97984	validation-mlogloss:0.99060
[223]	train-mlogloss:0.97950	validation-mlogloss:0.99022
[224]	train-mlogloss:0.97901	validation-mlogloss:0.98974
[225]	train-mlogloss:0.97857	validation-mlogloss:0.98926
[226]	train-mlogloss:0.97826	validation-mlogloss:0.98897
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.79 [%]
Global accuracy score (test) = 59.68 [%]
Global F1 score (train) = 60.81 [%]
Global F1 score (test) = 59.74 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.43      0.38      0.40       400
MODERATE-INTENSITY       0.56      0.69      0.62       400
         SEDENTARY       0.66      0.72      0.69       400
VIGOROUS-INTENSITY       0.80      0.60      0.68       345

          accuracy                           0.60      1545
         macro avg       0.61      0.60      0.60      1545
      weighted avg       0.60      0.60      0.59      1545


Accuracy capturado en la ejecución 27: 59.68 [%]
F1-score capturado en la ejecución 27: 59.74 [%]

=== EJECUCIÓN 28 ===

--- TRAIN (ejecución 28) ---

--- TEST (ejecución 28) ---
2025-11-07 09:14:23.759781: 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 09:14:23.771040: 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 00:00:1762503263.784037 2306713 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503263.788145 2306713 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503263.798009 2306713 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503263.798027 2306713 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503263.798029 2306713 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503263.798031 2306713 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:14:23.801114: 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:1.38059	validation-mlogloss:1.38038
[1]	train-mlogloss:1.37505	validation-mlogloss:1.37451
[2]	train-mlogloss:1.36928	validation-mlogloss:1.36847
[3]	train-mlogloss:1.36397	validation-mlogloss:1.36314
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[5]	train-mlogloss:1.35325	validation-mlogloss:1.35192
[6]	train-mlogloss:1.34800	validation-mlogloss:1.34658
[7]	train-mlogloss:1.34275	validation-mlogloss:1.34121
[8]	train-mlogloss:1.33765	validation-mlogloss:1.33599
[9]	train-mlogloss:1.33273	validation-mlogloss:1.33110
[10]	train-mlogloss:1.32757	validation-mlogloss:1.32586
[11]	train-mlogloss:1.32253	validation-mlogloss:1.32057
[12]	train-mlogloss:1.31759	validation-mlogloss:1.31566
[13]	train-mlogloss:1.31291	validation-mlogloss:1.31073
[14]	train-mlogloss:1.30818	validation-mlogloss:1.30564
[15]	train-mlogloss:1.30386	validation-mlogloss:1.30151
[16]	train-mlogloss:1.29914	validation-mlogloss:1.29665
[17]	train-mlogloss:1.29443	validation-mlogloss:1.29162
[18]	train-mlogloss:1.29005	validation-mlogloss:1.28720
[19]	train-mlogloss:1.28566	validation-mlogloss:1.28259
[20]	train-mlogloss:1.28156	validation-mlogloss:1.27839
[21]	train-mlogloss:1.27732	validation-mlogloss:1.27396
[22]	train-mlogloss:1.27336	validation-mlogloss:1.26989
[23]	train-mlogloss:1.26943	validation-mlogloss:1.26588
[24]	train-mlogloss:1.26553	validation-mlogloss:1.26193
[25]	train-mlogloss:1.26156	validation-mlogloss:1.25793
[26]	train-mlogloss:1.25788	validation-mlogloss:1.25438
[27]	train-mlogloss:1.25418	validation-mlogloss:1.25077
[28]	train-mlogloss:1.25054	validation-mlogloss:1.24695
[29]	train-mlogloss:1.24700	validation-mlogloss:1.24339
[30]	train-mlogloss:1.24338	validation-mlogloss:1.23956
[31]	train-mlogloss:1.23959	validation-mlogloss:1.23553
[32]	train-mlogloss:1.23613	validation-mlogloss:1.23210
[33]	train-mlogloss:1.23277	validation-mlogloss:1.22883
[34]	train-mlogloss:1.22937	validation-mlogloss:1.22540
[35]	train-mlogloss:1.22608	validation-mlogloss:1.22192
[36]	train-mlogloss:1.22298	validation-mlogloss:1.21882
[37]	train-mlogloss:1.21977	validation-mlogloss:1.21569
[38]	train-mlogloss:1.21664	validation-mlogloss:1.21236
[39]	train-mlogloss:1.21346	validation-mlogloss:1.20913
[40]	train-mlogloss:1.21012	validation-mlogloss:1.20578
[41]	train-mlogloss:1.20709	validation-mlogloss:1.20258
[42]	train-mlogloss:1.20382	validation-mlogloss:1.19916
[43]	train-mlogloss:1.20093	validation-mlogloss:1.19627
[44]	train-mlogloss:1.19805	validation-mlogloss:1.19330
[45]	train-mlogloss:1.19520	validation-mlogloss:1.19030
[46]	train-mlogloss:1.19258	validation-mlogloss:1.18779
[47]	train-mlogloss:1.18960	validation-mlogloss:1.18486
[48]	train-mlogloss:1.18703	validation-mlogloss:1.18226
[49]	train-mlogloss:1.18437	validation-mlogloss:1.17958
[50]	train-mlogloss:1.18160	validation-mlogloss:1.17679
[51]	train-mlogloss:1.17898	validation-mlogloss:1.17423
[52]	train-mlogloss:1.17646	validation-mlogloss:1.17164
[53]	train-mlogloss:1.17381	validation-mlogloss:1.16892
[54]	train-mlogloss:1.17105	validation-mlogloss:1.16614
[55]	train-mlogloss:1.16854	validation-mlogloss:1.16352
[56]	train-mlogloss:1.16594	validation-mlogloss:1.16076
[57]	train-mlogloss:1.16328	validation-mlogloss:1.15789
[58]	train-mlogloss:1.16085	validation-mlogloss:1.15545
[59]	train-mlogloss:1.15861	validation-mlogloss:1.15327
[60]	train-mlogloss:1.15613	validation-mlogloss:1.15087
[61]	train-mlogloss:1.15368	validation-mlogloss:1.14844
[62]	train-mlogloss:1.15157	validation-mlogloss:1.14646
[63]	train-mlogloss:1.14912	validation-mlogloss:1.14403
[64]	train-mlogloss:1.14661	validation-mlogloss:1.14139
[65]	train-mlogloss:1.14452	validation-mlogloss:1.13946
[66]	train-mlogloss:1.14240	validation-mlogloss:1.13739
[67]	train-mlogloss:1.14020	validation-mlogloss:1.13506
[68]	train-mlogloss:1.13809	validation-mlogloss:1.13297
[69]	train-mlogloss:1.13606	validation-mlogloss:1.13090
[70]	train-mlogloss:1.13395	validation-mlogloss:1.12888
[71]	train-mlogloss:1.13194	validation-mlogloss:1.12669
[72]	train-mlogloss:1.12973	validation-mlogloss:1.12441
[73]	train-mlogloss:1.12776	validation-mlogloss:1.12230
[74]	train-mlogloss:1.12589	validation-mlogloss:1.12056
[75]	train-mlogloss:1.12400	validation-mlogloss:1.11887
[76]	train-mlogloss:1.12201	validation-mlogloss:1.11673
[77]	train-mlogloss:1.12024	validation-mlogloss:1.11484
[78]	train-mlogloss:1.11846	validation-mlogloss:1.11326
[79]	train-mlogloss:1.11668	validation-mlogloss:1.11151
[80]	train-mlogloss:1.11484	validation-mlogloss:1.10980
[81]	train-mlogloss:1.11308	validation-mlogloss:1.10799
[82]	train-mlogloss:1.11128	validation-mlogloss:1.10614
[83]	train-mlogloss:1.10959	validation-mlogloss:1.10451
[84]	train-mlogloss:1.10790	validation-mlogloss:1.10285
[85]	train-mlogloss:1.10618	validation-mlogloss:1.10113
[86]	train-mlogloss:1.10452	validation-mlogloss:1.09954
[87]	train-mlogloss:1.10293	validation-mlogloss:1.09801
[88]	train-mlogloss:1.10130	validation-mlogloss:1.09635
[89]	train-mlogloss:1.09967	validation-mlogloss:1.09478
[90]	train-mlogloss:1.09781	validation-mlogloss:1.09278
[91]	train-mlogloss:1.09612	validation-mlogloss:1.09102
[92]	train-mlogloss:1.09463	validation-mlogloss:1.08972
[93]	train-mlogloss:1.09299	validation-mlogloss:1.08819
[94]	train-mlogloss:1.09145	validation-mlogloss:1.08676
[95]	train-mlogloss:1.08980	validation-mlogloss:1.08503
[96]	train-mlogloss:1.08831	validation-mlogloss:1.08359
[97]	train-mlogloss:1.08689	validation-mlogloss:1.08236
[98]	train-mlogloss:1.08551	validation-mlogloss:1.08101
[99]	train-mlogloss:1.08418	validation-mlogloss:1.07967
[100]	train-mlogloss:1.08266	validation-mlogloss:1.07810
[101]	train-mlogloss:1.08134	validation-mlogloss:1.07689
[102]	train-mlogloss:1.07986	validation-mlogloss:1.07541
[103]	train-mlogloss:1.07853	validation-mlogloss:1.07426
[104]	train-mlogloss:1.07724	validation-mlogloss:1.07310
[105]	train-mlogloss:1.07590	validation-mlogloss:1.07178
[106]	train-mlogloss:1.07460	validation-mlogloss:1.07043
[107]	train-mlogloss:1.07331	validation-mlogloss:1.06932
[108]	train-mlogloss:1.07201	validation-mlogloss:1.06812
[109]	train-mlogloss:1.07077	validation-mlogloss:1.06681
[110]	train-mlogloss:1.06942	validation-mlogloss:1.06542
[111]	train-mlogloss:1.06817	validation-mlogloss:1.06428
[112]	train-mlogloss:1.06696	validation-mlogloss:1.06304
[113]	train-mlogloss:1.06561	validation-mlogloss:1.06170
[114]	train-mlogloss:1.06427	validation-mlogloss:1.06035
[115]	train-mlogloss:1.06308	validation-mlogloss:1.05925
[116]	train-mlogloss:1.06187	validation-mlogloss:1.05808
[117]	train-mlogloss:1.06057	validation-mlogloss:1.05690
[118]	train-mlogloss:1.05921	validation-mlogloss:1.05555
[119]	train-mlogloss:1.05784	validation-mlogloss:1.05418
[120]	train-mlogloss:1.05670	validation-mlogloss:1.05281
[121]	train-mlogloss:1.05556	validation-mlogloss:1.05169
[122]	train-mlogloss:1.05433	validation-mlogloss:1.05053
[123]	train-mlogloss:1.05332	validation-mlogloss:1.04954
[124]	train-mlogloss:1.05225	validation-mlogloss:1.04843
[125]	train-mlogloss:1.05107	validation-mlogloss:1.04724
[126]	train-mlogloss:1.04994	validation-mlogloss:1.04618
[127]	train-mlogloss:1.04879	validation-mlogloss:1.04512
[128]	train-mlogloss:1.04772	validation-mlogloss:1.04390
[129]	train-mlogloss:1.04671	validation-mlogloss:1.04302
[130]	train-mlogloss:1.04566	validation-mlogloss:1.04189
[131]	train-mlogloss:1.04451	validation-mlogloss:1.04082
[132]	train-mlogloss:1.04365	validation-mlogloss:1.04011
[133]	train-mlogloss:1.04260	validation-mlogloss:1.03911
[134]	train-mlogloss:1.04163	validation-mlogloss:1.03811
[135]	train-mlogloss:1.04061	validation-mlogloss:1.03713
[136]	train-mlogloss:1.03941	validation-mlogloss:1.03609
[137]	train-mlogloss:1.03842	validation-mlogloss:1.03516
[138]	train-mlogloss:1.03752	validation-mlogloss:1.03426
[139]	train-mlogloss:1.03665	validation-mlogloss:1.03353
[140]	train-mlogloss:1.03573	validation-mlogloss:1.03268
[141]	train-mlogloss:1.03474	validation-mlogloss:1.03160
[142]	train-mlogloss:1.03367	validation-mlogloss:1.03067
[143]	train-mlogloss:1.03269	validation-mlogloss:1.02963
[144]	train-mlogloss:1.03176	validation-mlogloss:1.02861
[145]	train-mlogloss:1.03090	validation-mlogloss:1.02781
[146]	train-mlogloss:1.03003	validation-mlogloss:1.02698
[147]	train-mlogloss:1.02918	validation-mlogloss:1.02613
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[149]	train-mlogloss:1.02754	validation-mlogloss:1.02456
[150]	train-mlogloss:1.02672	validation-mlogloss:1.02375
[151]	train-mlogloss:1.02601	validation-mlogloss:1.02304
[152]	train-mlogloss:1.02506	validation-mlogloss:1.02222
[153]	train-mlogloss:1.02422	validation-mlogloss:1.02134
[154]	train-mlogloss:1.02341	validation-mlogloss:1.02061
[155]	train-mlogloss:1.02262	validation-mlogloss:1.01978
[156]	train-mlogloss:1.02187	validation-mlogloss:1.01903
[157]	train-mlogloss:1.02109	validation-mlogloss:1.01830
[158]	train-mlogloss:1.02025	validation-mlogloss:1.01752
[159]	train-mlogloss:1.01946	validation-mlogloss:1.01688
[160]	train-mlogloss:1.01860	validation-mlogloss:1.01606
[161]	train-mlogloss:1.01797	validation-mlogloss:1.01541
[162]	train-mlogloss:1.01733	validation-mlogloss:1.01491
[163]	train-mlogloss:1.01646	validation-mlogloss:1.01395
[164]	train-mlogloss:1.01570	validation-mlogloss:1.01329
[165]	train-mlogloss:1.01505	validation-mlogloss:1.01290
[166]	train-mlogloss:1.01439	validation-mlogloss:1.01229
[167]	train-mlogloss:1.01373	validation-mlogloss:1.01174
[168]	train-mlogloss:1.01309	validation-mlogloss:1.01108
[169]	train-mlogloss:1.01229	validation-mlogloss:1.01033
[170]	train-mlogloss:1.01150	validation-mlogloss:1.00960
[171]	train-mlogloss:1.01093	validation-mlogloss:1.00916
[172]	train-mlogloss:1.01022	validation-mlogloss:1.00863
[173]	train-mlogloss:1.00948	validation-mlogloss:1.00793
[174]	train-mlogloss:1.00890	validation-mlogloss:1.00739
[175]	train-mlogloss:1.00831	validation-mlogloss:1.00677
[176]	train-mlogloss:1.00766	validation-mlogloss:1.00620
[177]	train-mlogloss:1.00700	validation-mlogloss:1.00549
[178]	train-mlogloss:1.00638	validation-mlogloss:1.00494
[179]	train-mlogloss:1.00583	validation-mlogloss:1.00459
[180]	train-mlogloss:1.00531	validation-mlogloss:1.00423
[181]	train-mlogloss:1.00464	validation-mlogloss:1.00372
[182]	train-mlogloss:1.00409	validation-mlogloss:1.00317
[183]	train-mlogloss:1.00346	validation-mlogloss:1.00272
[184]	train-mlogloss:1.00291	validation-mlogloss:1.00216
[185]	train-mlogloss:1.00229	validation-mlogloss:1.00146
[186]	train-mlogloss:1.00168	validation-mlogloss:1.00079
[187]	train-mlogloss:1.00111	validation-mlogloss:1.00026
[188]	train-mlogloss:1.00056	validation-mlogloss:0.99984
[189]	train-mlogloss:0.99982	validation-mlogloss:0.99926
[190]	train-mlogloss:0.99924	validation-mlogloss:0.99869
[191]	train-mlogloss:0.99869	validation-mlogloss:0.99819
[192]	train-mlogloss:0.99817	validation-mlogloss:0.99780
[193]	train-mlogloss:0.99763	validation-mlogloss:0.99735
[194]	train-mlogloss:0.99708	validation-mlogloss:0.99688
[195]	train-mlogloss:0.99659	validation-mlogloss:0.99651
[196]	train-mlogloss:0.99604	validation-mlogloss:0.99601
[197]	train-mlogloss:0.99560	validation-mlogloss:0.99586
[198]	train-mlogloss:0.99496	validation-mlogloss:0.99529
[199]	train-mlogloss:0.99437	validation-mlogloss:0.99473
[200]	train-mlogloss:0.99392	validation-mlogloss:0.99448
[201]	train-mlogloss:0.99350	validation-mlogloss:0.99411
[202]	train-mlogloss:0.99296	validation-mlogloss:0.99376
[203]	train-mlogloss:0.99247	validation-mlogloss:0.99336
[204]	train-mlogloss:0.99193	validation-mlogloss:0.99290
[205]	train-mlogloss:0.99150	validation-mlogloss:0.99259
[206]	train-mlogloss:0.99105	validation-mlogloss:0.99216
[207]	train-mlogloss:0.99049	validation-mlogloss:0.99178
[208]	train-mlogloss:0.99001	validation-mlogloss:0.99129
[209]	train-mlogloss:0.98962	validation-mlogloss:0.99103
[210]	train-mlogloss:0.98923	validation-mlogloss:0.99072
[211]	train-mlogloss:0.98880	validation-mlogloss:0.99041
[212]	train-mlogloss:0.98845	validation-mlogloss:0.99013
[213]	train-mlogloss:0.98798	validation-mlogloss:0.98986
[214]	train-mlogloss:0.98755	validation-mlogloss:0.98947
[215]	train-mlogloss:0.98716	validation-mlogloss:0.98913
[216]	train-mlogloss:0.98671	validation-mlogloss:0.98871
[217]	train-mlogloss:0.98627	validation-mlogloss:0.98836
[218]	train-mlogloss:0.98581	validation-mlogloss:0.98807
[219]	train-mlogloss:0.98535	validation-mlogloss:0.98785
[220]	train-mlogloss:0.98491	validation-mlogloss:0.98747
[221]	train-mlogloss:0.98456	validation-mlogloss:0.98713
[222]	train-mlogloss:0.98421	validation-mlogloss:0.98672
[223]	train-mlogloss:0.98384	validation-mlogloss:0.98627
[224]	train-mlogloss:0.98344	validation-mlogloss:0.98606
[225]	train-mlogloss:0.98304	validation-mlogloss:0.98563
[226]	train-mlogloss:0.98268	validation-mlogloss:0.98537
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[1 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 60.54 [%]
Global accuracy score (test) = 58.96 [%]
Global F1 score (train) = 60.43 [%]
Global F1 score (test) = 58.96 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.44      0.38      0.41       400
MODERATE-INTENSITY       0.55      0.67      0.60       400
         SEDENTARY       0.63      0.73      0.68       400
VIGOROUS-INTENSITY       0.79      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.60      0.59      0.59      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 28: 58.96 [%]
F1-score capturado en la ejecución 28: 58.96 [%]

=== EJECUCIÓN 29 ===

--- TRAIN (ejecución 29) ---

--- TEST (ejecución 29) ---
2025-11-07 09:14:34.694038: 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 09:14:34.705450: 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 00:00:1762503274.719098 2306961 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762503274.723218 2306961 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762503274.733005 2306961 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503274.733024 2306961 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503274.733026 2306961 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762503274.733028 2306961 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-07 09:14:34.736074: 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:1.38051	validation-mlogloss:1.38040
[1]	train-mlogloss:1.37521	validation-mlogloss:1.37513
[2]	train-mlogloss:1.36962	validation-mlogloss:1.36943
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[5]	train-mlogloss:1.35343	validation-mlogloss:1.35305
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[9]	train-mlogloss:1.33241	validation-mlogloss:1.33165
[10]	train-mlogloss:1.32760	validation-mlogloss:1.32670
[11]	train-mlogloss:1.32263	validation-mlogloss:1.32146
[12]	train-mlogloss:1.31798	validation-mlogloss:1.31672
[13]	train-mlogloss:1.31331	validation-mlogloss:1.31216
[14]	train-mlogloss:1.30881	validation-mlogloss:1.30751
[15]	train-mlogloss:1.30444	validation-mlogloss:1.30317
[16]	train-mlogloss:1.30011	validation-mlogloss:1.29884
[17]	train-mlogloss:1.29586	validation-mlogloss:1.29451
[18]	train-mlogloss:1.29132	validation-mlogloss:1.28968
[19]	train-mlogloss:1.28715	validation-mlogloss:1.28552
[20]	train-mlogloss:1.28299	validation-mlogloss:1.28130
[21]	train-mlogloss:1.27868	validation-mlogloss:1.27689
[22]	train-mlogloss:1.27472	validation-mlogloss:1.27296
[23]	train-mlogloss:1.27090	validation-mlogloss:1.26916
[24]	train-mlogloss:1.26692	validation-mlogloss:1.26510
[25]	train-mlogloss:1.26284	validation-mlogloss:1.26089
[26]	train-mlogloss:1.25924	validation-mlogloss:1.25739
[27]	train-mlogloss:1.25554	validation-mlogloss:1.25370
[28]	train-mlogloss:1.25188	validation-mlogloss:1.25007
[29]	train-mlogloss:1.24844	validation-mlogloss:1.24667
[30]	train-mlogloss:1.24489	validation-mlogloss:1.24297
[31]	train-mlogloss:1.24136	validation-mlogloss:1.23948
[32]	train-mlogloss:1.23794	validation-mlogloss:1.23576
[33]	train-mlogloss:1.23413	validation-mlogloss:1.23167
[34]	train-mlogloss:1.23074	validation-mlogloss:1.22816
[35]	train-mlogloss:1.22737	validation-mlogloss:1.22484
[36]	train-mlogloss:1.22387	validation-mlogloss:1.22114
[37]	train-mlogloss:1.22071	validation-mlogloss:1.21804
[38]	train-mlogloss:1.21751	validation-mlogloss:1.21473
[39]	train-mlogloss:1.21438	validation-mlogloss:1.21155
[40]	train-mlogloss:1.21137	validation-mlogloss:1.20852
[41]	train-mlogloss:1.20831	validation-mlogloss:1.20529
[42]	train-mlogloss:1.20497	validation-mlogloss:1.20171
[43]	train-mlogloss:1.20191	validation-mlogloss:1.19859
[44]	train-mlogloss:1.19901	validation-mlogloss:1.19576
[45]	train-mlogloss:1.19608	validation-mlogloss:1.19270
[46]	train-mlogloss:1.19321	validation-mlogloss:1.18982
[47]	train-mlogloss:1.19036	validation-mlogloss:1.18685
[48]	train-mlogloss:1.18731	validation-mlogloss:1.18367
[49]	train-mlogloss:1.18461	validation-mlogloss:1.18102
[50]	train-mlogloss:1.18168	validation-mlogloss:1.17802
[51]	train-mlogloss:1.17898	validation-mlogloss:1.17533
[52]	train-mlogloss:1.17649	validation-mlogloss:1.17286
[53]	train-mlogloss:1.17360	validation-mlogloss:1.16982
[54]	train-mlogloss:1.17079	validation-mlogloss:1.16708
[55]	train-mlogloss:1.16834	validation-mlogloss:1.16461
[56]	train-mlogloss:1.16571	validation-mlogloss:1.16176
[57]	train-mlogloss:1.16327	validation-mlogloss:1.15923
[58]	train-mlogloss:1.16093	validation-mlogloss:1.15679
[59]	train-mlogloss:1.15863	validation-mlogloss:1.15440
[60]	train-mlogloss:1.15639	validation-mlogloss:1.15220
[61]	train-mlogloss:1.15385	validation-mlogloss:1.14974
[62]	train-mlogloss:1.15160	validation-mlogloss:1.14744
[63]	train-mlogloss:1.14930	validation-mlogloss:1.14528
[64]	train-mlogloss:1.14718	validation-mlogloss:1.14321
[65]	train-mlogloss:1.14511	validation-mlogloss:1.14121
[66]	train-mlogloss:1.14300	validation-mlogloss:1.13918
[67]	train-mlogloss:1.14070	validation-mlogloss:1.13684
[68]	train-mlogloss:1.13843	validation-mlogloss:1.13447
[69]	train-mlogloss:1.13620	validation-mlogloss:1.13214
[70]	train-mlogloss:1.13415	validation-mlogloss:1.13016
[71]	train-mlogloss:1.13216	validation-mlogloss:1.12843
[72]	train-mlogloss:1.13019	validation-mlogloss:1.12631
[73]	train-mlogloss:1.12818	validation-mlogloss:1.12423
[74]	train-mlogloss:1.12634	validation-mlogloss:1.12236
[75]	train-mlogloss:1.12432	validation-mlogloss:1.12037
[76]	train-mlogloss:1.12238	validation-mlogloss:1.11842
[77]	train-mlogloss:1.12059	validation-mlogloss:1.11685
[78]	train-mlogloss:1.11884	validation-mlogloss:1.11525
[79]	train-mlogloss:1.11678	validation-mlogloss:1.11311
[80]	train-mlogloss:1.11494	validation-mlogloss:1.11141
[81]	train-mlogloss:1.11317	validation-mlogloss:1.10980
[82]	train-mlogloss:1.11127	validation-mlogloss:1.10769
[83]	train-mlogloss:1.10958	validation-mlogloss:1.10585
[84]	train-mlogloss:1.10766	validation-mlogloss:1.10383
[85]	train-mlogloss:1.10575	validation-mlogloss:1.10184
[86]	train-mlogloss:1.10404	validation-mlogloss:1.10011
[87]	train-mlogloss:1.10248	validation-mlogloss:1.09878
[88]	train-mlogloss:1.10077	validation-mlogloss:1.09716
[89]	train-mlogloss:1.09917	validation-mlogloss:1.09576
[90]	train-mlogloss:1.09743	validation-mlogloss:1.09402
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[92]	train-mlogloss:1.09405	validation-mlogloss:1.09070
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[94]	train-mlogloss:1.09092	validation-mlogloss:1.08765
[95]	train-mlogloss:1.08942	validation-mlogloss:1.08614
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[98]	train-mlogloss:1.08477	validation-mlogloss:1.08149
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[107]	train-mlogloss:1.07230	validation-mlogloss:1.06889
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[109]	train-mlogloss:1.06966	validation-mlogloss:1.06633
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[113]	train-mlogloss:1.06470	validation-mlogloss:1.06153
[114]	train-mlogloss:1.06349	validation-mlogloss:1.06038
[115]	train-mlogloss:1.06228	validation-mlogloss:1.05928
[116]	train-mlogloss:1.06113	validation-mlogloss:1.05823
[117]	train-mlogloss:1.05988	validation-mlogloss:1.05702
[118]	train-mlogloss:1.05871	validation-mlogloss:1.05583
[119]	train-mlogloss:1.05742	validation-mlogloss:1.05455
[120]	train-mlogloss:1.05628	validation-mlogloss:1.05348
[121]	train-mlogloss:1.05521	validation-mlogloss:1.05252
[122]	train-mlogloss:1.05406	validation-mlogloss:1.05132
[123]	train-mlogloss:1.05299	validation-mlogloss:1.05042
[124]	train-mlogloss:1.05182	validation-mlogloss:1.04929
[125]	train-mlogloss:1.05080	validation-mlogloss:1.04842
[126]	train-mlogloss:1.04964	validation-mlogloss:1.04745
[127]	train-mlogloss:1.04864	validation-mlogloss:1.04656
[128]	train-mlogloss:1.04764	validation-mlogloss:1.04548
[129]	train-mlogloss:1.04668	validation-mlogloss:1.04478
[130]	train-mlogloss:1.04560	validation-mlogloss:1.04370
[131]	train-mlogloss:1.04455	validation-mlogloss:1.04281
[132]	train-mlogloss:1.04356	validation-mlogloss:1.04184
[133]	train-mlogloss:1.04247	validation-mlogloss:1.04089
[134]	train-mlogloss:1.04143	validation-mlogloss:1.03989
[135]	train-mlogloss:1.04048	validation-mlogloss:1.03901
[136]	train-mlogloss:1.03951	validation-mlogloss:1.03807
[137]	train-mlogloss:1.03853	validation-mlogloss:1.03712
[138]	train-mlogloss:1.03754	validation-mlogloss:1.03627
[139]	train-mlogloss:1.03671	validation-mlogloss:1.03538
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[141]	train-mlogloss:1.03501	validation-mlogloss:1.03383
[142]	train-mlogloss:1.03409	validation-mlogloss:1.03290
[143]	train-mlogloss:1.03315	validation-mlogloss:1.03197
[144]	train-mlogloss:1.03225	validation-mlogloss:1.03128
[145]	train-mlogloss:1.03124	validation-mlogloss:1.03040
[146]	train-mlogloss:1.03028	validation-mlogloss:1.02961
[147]	train-mlogloss:1.02928	validation-mlogloss:1.02866
[148]	train-mlogloss:1.02839	validation-mlogloss:1.02780
[149]	train-mlogloss:1.02755	validation-mlogloss:1.02699
[150]	train-mlogloss:1.02677	validation-mlogloss:1.02619
[151]	train-mlogloss:1.02597	validation-mlogloss:1.02541
[152]	train-mlogloss:1.02511	validation-mlogloss:1.02463
[153]	train-mlogloss:1.02437	validation-mlogloss:1.02396
[154]	train-mlogloss:1.02357	validation-mlogloss:1.02315
[155]	train-mlogloss:1.02264	validation-mlogloss:1.02220
[156]	train-mlogloss:1.02183	validation-mlogloss:1.02143
[157]	train-mlogloss:1.02087	validation-mlogloss:1.02073
[158]	train-mlogloss:1.02010	validation-mlogloss:1.02022
[159]	train-mlogloss:1.01926	validation-mlogloss:1.01949
[160]	train-mlogloss:1.01844	validation-mlogloss:1.01883
[161]	train-mlogloss:1.01755	validation-mlogloss:1.01812
[162]	train-mlogloss:1.01678	validation-mlogloss:1.01721
[163]	train-mlogloss:1.01612	validation-mlogloss:1.01660
[164]	train-mlogloss:1.01531	validation-mlogloss:1.01586
[165]	train-mlogloss:1.01459	validation-mlogloss:1.01519
[166]	train-mlogloss:1.01393	validation-mlogloss:1.01448
[167]	train-mlogloss:1.01323	validation-mlogloss:1.01395
[168]	train-mlogloss:1.01259	validation-mlogloss:1.01330
[169]	train-mlogloss:1.01197	validation-mlogloss:1.01277
[170]	train-mlogloss:1.01122	validation-mlogloss:1.01214
[171]	train-mlogloss:1.01050	validation-mlogloss:1.01164
[172]	train-mlogloss:1.00994	validation-mlogloss:1.01107
[173]	train-mlogloss:1.00926	validation-mlogloss:1.01039
[174]	train-mlogloss:1.00848	validation-mlogloss:1.00976
[175]	train-mlogloss:1.00796	validation-mlogloss:1.00925
[176]	train-mlogloss:1.00731	validation-mlogloss:1.00866
[177]	train-mlogloss:1.00678	validation-mlogloss:1.00829
[178]	train-mlogloss:1.00609	validation-mlogloss:1.00763
[179]	train-mlogloss:1.00542	validation-mlogloss:1.00706
[180]	train-mlogloss:1.00493	validation-mlogloss:1.00677
[181]	train-mlogloss:1.00432	validation-mlogloss:1.00637
[182]	train-mlogloss:1.00377	validation-mlogloss:1.00602
[183]	train-mlogloss:1.00300	validation-mlogloss:1.00534
[184]	train-mlogloss:1.00243	validation-mlogloss:1.00476
[185]	train-mlogloss:1.00185	validation-mlogloss:1.00423
[186]	train-mlogloss:1.00130	validation-mlogloss:1.00371
[187]	train-mlogloss:1.00083	validation-mlogloss:1.00322
[188]	train-mlogloss:1.00014	validation-mlogloss:1.00275
[189]	train-mlogloss:0.99962	validation-mlogloss:1.00223
[190]	train-mlogloss:0.99907	validation-mlogloss:1.00168
[191]	train-mlogloss:0.99859	validation-mlogloss:1.00140
[192]	train-mlogloss:0.99796	validation-mlogloss:1.00077
[193]	train-mlogloss:0.99752	validation-mlogloss:1.00056
[194]	train-mlogloss:0.99696	validation-mlogloss:1.00006
[195]	train-mlogloss:0.99637	validation-mlogloss:0.99960
[196]	train-mlogloss:0.99596	validation-mlogloss:0.99936
[197]	train-mlogloss:0.99552	validation-mlogloss:0.99888
[198]	train-mlogloss:0.99505	validation-mlogloss:0.99847
[199]	train-mlogloss:0.99467	validation-mlogloss:0.99825
[200]	train-mlogloss:0.99410	validation-mlogloss:0.99780
[201]	train-mlogloss:0.99367	validation-mlogloss:0.99754
[202]	train-mlogloss:0.99316	validation-mlogloss:0.99715
[203]	train-mlogloss:0.99262	validation-mlogloss:0.99672
[204]	train-mlogloss:0.99205	validation-mlogloss:0.99619
[205]	train-mlogloss:0.99158	validation-mlogloss:0.99581
[206]	train-mlogloss:0.99111	validation-mlogloss:0.99537
[207]	train-mlogloss:0.99055	validation-mlogloss:0.99482
[208]	train-mlogloss:0.98994	validation-mlogloss:0.99429
[209]	train-mlogloss:0.98939	validation-mlogloss:0.99379
[210]	train-mlogloss:0.98886	validation-mlogloss:0.99339
[211]	train-mlogloss:0.98829	validation-mlogloss:0.99320
[212]	train-mlogloss:0.98788	validation-mlogloss:0.99284
[213]	train-mlogloss:0.98747	validation-mlogloss:0.99259
[214]	train-mlogloss:0.98702	validation-mlogloss:0.99224
[215]	train-mlogloss:0.98648	validation-mlogloss:0.99183
[216]	train-mlogloss:0.98595	validation-mlogloss:0.99138
[217]	train-mlogloss:0.98548	validation-mlogloss:0.99112
[218]	train-mlogloss:0.98506	validation-mlogloss:0.99081
[219]	train-mlogloss:0.98452	validation-mlogloss:0.99032
[220]	train-mlogloss:0.98403	validation-mlogloss:0.98974
[221]	train-mlogloss:0.98349	validation-mlogloss:0.98920
[222]	train-mlogloss:0.98306	validation-mlogloss:0.98891
[223]	train-mlogloss:0.98267	validation-mlogloss:0.98851
[224]	train-mlogloss:0.98225	validation-mlogloss:0.98811
[225]	train-mlogloss:0.98186	validation-mlogloss:0.98784
[226]	train-mlogloss:0.98154	validation-mlogloss:0.98754
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)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 1 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.59 [%]
Global accuracy score (test) = 59.03 [%]
Global F1 score (train) = 59.72 [%]
Global F1 score (test) = 59.33 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.44      0.40      0.42       400
MODERATE-INTENSITY       0.54      0.66      0.59       400
         SEDENTARY       0.64      0.71      0.67       400
VIGOROUS-INTENSITY       0.82      0.59      0.68       345

          accuracy                           0.59      1545
         macro avg       0.61      0.59      0.59      1545
      weighted avg       0.60      0.59      0.59      1545


Accuracy capturado en la ejecución 29: 59.03 [%]
F1-score capturado en la ejecución 29: 59.33 [%]

=== 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}
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Training a non-convolutional model.
Loaded model from disk.
(1545, 42)
(10469, 42)
[[2.]
 [2.]
 [2.]
 ...
 [3.]
 [3.]
 [3.]]
(1545, 1)
[2 2 2 ... 3 0 3]
(1545,)
-------------------------------------------------

Global accuracy score (train) = 59.69 [%]
Global accuracy score (test) = 60.26 [%]
Global F1 score (train) = 59.77 [%]
Global F1 score (test) = 60.54 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.45      0.43      0.44       400
MODERATE-INTENSITY       0.55      0.66      0.60       400
         SEDENTARY       0.67      0.73      0.70       400
VIGOROUS-INTENSITY       0.81      0.59      0.68       345

          accuracy                           0.60      1545
         macro avg       0.62      0.60      0.61      1545
      weighted avg       0.61      0.60      0.60      1545


Accuracy capturado en la ejecución 30: 60.26 [%]
F1-score capturado en la ejecución 30: 60.54 [%]

=== RESUMEN FINAL ===
Accuracies: [58.58, 58.38, 61.1, 60.0, 60.13, 56.96, 59.09, 58.96, 59.68, 58.71, 58.19, 60.32, 57.86, 59.94, 60.13, 59.29, 60.0, 59.68, 59.35, 58.58, 60.19, 59.55, 59.61, 59.74, 59.29, 60.0, 59.68, 58.96, 59.03, 60.26]
F1-scores: [58.74, 58.76, 60.89, 60.09, 59.95, 57.42, 59.61, 58.97, 59.63, 58.77, 58.49, 60.52, 58.1, 60.36, 60.17, 59.55, 60.16, 59.93, 59.73, 58.92, 60.4, 59.82, 59.99, 59.81, 59.36, 60.04, 59.74, 58.96, 59.33, 60.54]
Accuracy mean: 59.3747 | std: 0.8413
F1 mean: 59.5583 | std: 0.7728

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