2025-11-06 16:25:10.669790: 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`.
2025-11-06 16:25:10.681543: 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 00:00:1762442710.695523 1474519 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442710.699736 1474519 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442710.710247 1474519 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442710.710268 1474519 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442710.710270 1474519 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442710.710272 1474519 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:25:10.713412: 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(
2025-11-06 16:25:14,725	INFO worker.py:1927 -- Started a local Ray instance.
2025-11-06 16:25:15,360	INFO tune.py:253 -- Initializing Ray automatically. For cluster usage or custom Ray initialization, call `ray.init(...)` before `Tuner(...)`.
2025-11-06 16:25:15,425	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_fc54 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,428	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_df8a because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,431	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_a809 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,433	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_7ac2 because trial dirname 'dir_cb5e2' already exists.
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2025-11-06 16:25:15,438	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_87e2 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,440	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_63a3 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,442	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_8076 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,444	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_dd4b because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,446	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_d134 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,449	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_467c because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,452	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_0798 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,455	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_9901 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,459	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_1833 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,462	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_dd0c because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,466	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_80f2 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,470	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_a778 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,474	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_d5f0 because trial dirname 'dir_cb5e2' already exists.
2025-11-06 16:25:15,478	INFO trial.py:182 -- Creating a new dirname dir_cb5e2_f271 because trial dirname 'dir_cb5e2' 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_PI/case_PI_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning
To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-11-06_16-25-14_010430_1474519/artifacts/2025-11-06_16-25-15/XGBoost_hyperparameters_tuning/driver_artifacts`

Trial status: 20 PENDING
Current time: 2025-11-06 16:25:15. 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_cb5e2    PENDING                  793             2        0.014367        0.580095             0.601919   15.4261                   131      33.403         19.662               2216 │
│ trial_cb5e2    PENDING                  587             3        0.0117441       0.589591             0.686175   16.6173                   126     153.25          31.3839               935 │
│ trial_cb5e2    PENDING                  381             3        0.0102117       0.777653             0.789309   16.8969                   119       1.26576      127.648               3452 │
│ trial_cb5e2    PENDING                  550             2        0.0109621       0.711293             0.749026   29.8325                   150      10.3899       195.466               3161 │
│ trial_cb5e2    PENDING                  204             3        0.00519563      0.573097             0.65603    23.2922                    90      90.209          7.20822             7339 │
│ trial_cb5e2    PENDING                  585             3        0.00577394      0.644344             0.762258    6.80625                  158     804.336        287.907               9973 │
│ trial_cb5e2    PENDING                  342             2        0.0169714       0.524938             0.525875   14.8306                    72       3.89579      599.577                301 │
│ trial_cb5e2    PENDING                  446             2        0.0113999       0.562496             0.815385   21.3344                   188      10.7818       162.045               7999 │
│ trial_cb5e2    PENDING                  558             2        0.0129131       0.673791             0.713842   28.6639                   121     428.3          702.086                901 │
│ trial_cb5e2    PENDING                  369             2        0.0153416       0.762138             0.791346   26.576                    157     750.74          22.9536              3231 │
│ trial_cb5e2    PENDING                  306             3        0.0158582       0.6867               0.608103   22.5352                   142      84.3148         7.9951              6144 │
│ trial_cb5e2    PENDING                  766             3        0.0142185       0.642453             0.552171   17.2389                   118     310.083        282.751               8682 │
│ trial_cb5e2    PENDING                  617             2        0.00614373      0.710338             0.659398   21.6357                    70      27.5359       161.67                7902 │
│ trial_cb5e2    PENDING                  446             3        0.017189        0.682019             0.664366   20.6382                    74      58.8477        26.2953              4753 │
│ trial_cb5e2    PENDING                  235             3        0.0135658       0.524521             0.805946   26.8468                   103       3.3206        17.945               6200 │
│ trial_cb5e2    PENDING                  421             3        0.00766715      0.511803             0.73243    12.4168                    61     286.922        684.737               8726 │
│ trial_cb5e2    PENDING                  454             2        0.015944        0.658222             0.578483   14.5175                   143       4.69437      746.042               9730 │
│ trial_cb5e2    PENDING                  701             3        0.0142682       0.796329             0.675552   25.0897                   145       5.84352      133.776                754 │
│ trial_cb5e2    PENDING                  236             3        0.0188603       0.669594             0.770933   21.3275                   164     280.325         13.0803              4022 │
│ trial_cb5e2    PENDING                  328             2        0.0172204       0.848661             0.782687   22.5297                    66       8.16998      872.084               2502 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.81538 │
│ gamma                        21.3344 │
│ learning_rate                 0.0114 │
│ max_depth                          2 │
│ min_child_weight                 188 │
│ num_boost_round                  446 │
│ random_state                    7999 │
│ reg_alpha                    10.7818 │
│ reg_lambda                   162.045 │
│ subsample                     0.5625 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.68618 │
│ gamma                        16.6172 │
│ learning_rate                0.01174 │
│ max_depth                          3 │
│ min_child_weight                 126 │
│ num_boost_round                  587 │
│ random_state                     935 │
│ reg_alpha                     153.25 │
│ reg_lambda                   31.3838 │
│ subsample                    0.58959 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.66437 │
│ gamma                        20.6382 │
│ learning_rate                0.01719 │
│ max_depth                          3 │
│ min_child_weight                  74 │
│ num_boost_round                  446 │
│ random_state                    4753 │
│ reg_alpha                    58.8477 │
│ reg_lambda                   26.2953 │
│ subsample                    0.68202 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.55217 │
│ gamma                        17.2389 │
│ learning_rate                0.01422 │
│ max_depth                          3 │
│ min_child_weight                 118 │
│ num_boost_round                  766 │
│ random_state                    8682 │
│ reg_alpha                    310.083 │
│ reg_lambda                   282.751 │
│ subsample                    0.64245 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.6594 │
│ gamma                        21.6357 │
│ learning_rate                0.00614 │
│ max_depth                          2 │
│ min_child_weight                  70 │
│ num_boost_round                  617 │
│ random_state                    7902 │
│ reg_alpha                    27.5359 │
│ reg_lambda                    161.67 │
│ subsample                    0.71034 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.77093 │
│ gamma                        21.3275 │
│ learning_rate                0.01886 │
│ max_depth                          3 │
│ min_child_weight                 164 │
│ num_boost_round                  236 │
│ random_state                    4022 │
│ reg_alpha                    280.325 │
│ reg_lambda                   13.0803 │
│ subsample                    0.66959 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.57848 │
│ gamma                        14.5175 │
│ learning_rate                0.01594 │
│ max_depth                          2 │
│ min_child_weight                 143 │
│ num_boost_round                  454 │
│ random_state                    9730 │
│ reg_alpha                    4.69437 │
│ reg_lambda                   746.042 │
│ subsample                    0.65822 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.65603 │
│ gamma                        23.2922 │
│ learning_rate                 0.0052 │
│ max_depth                          3 │
│ min_child_weight                  90 │
│ num_boost_round                  204 │
│ random_state                    7339 │
│ reg_alpha                     90.209 │
│ reg_lambda                   7.20822 │
│ subsample                     0.5731 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.71384 │
│ gamma                        28.6639 │
│ learning_rate                0.01291 │
│ max_depth                          2 │
│ min_child_weight                 121 │
│ num_boost_round                  558 │
│ random_state                     901 │
│ reg_alpha                      428.3 │
│ reg_lambda                   702.086 │
│ subsample                    0.67379 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.74903 │
│ gamma                        29.8325 │
│ learning_rate                0.01096 │
│ max_depth                          2 │
│ min_child_weight                 150 │
│ num_boost_round                  550 │
│ random_state                    3161 │
│ reg_alpha                    10.3899 │
│ reg_lambda                   195.466 │
│ subsample                    0.71129 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.67555 │
│ gamma                        25.0897 │
│ learning_rate                0.01427 │
│ max_depth                          3 │
│ min_child_weight                 145 │
│ num_boost_round                  701 │
│ random_state                     754 │
│ reg_alpha                    5.84352 │
│ reg_lambda                   133.776 │
│ subsample                    0.79633 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
[36m(train_xgb_ray_tune pid=1476162)[0m 2025-11-06 16:25:18.602389: 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=1476162)[0m 2025-11-06 16:25:18.623143: 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=1476162)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
[36m(train_xgb_ray_tune pid=1476162)[0m E0000 00:00:1762442718.651393 1477298 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=1476162)[0m E0000 00:00:1762442718.659321 1477298 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=1476162)[0m W0000 00:00:1762442718.679676 1477298 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=1476162)[0m W0000 00:00:1762442718.679718 1477298 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=1476162)[0m W0000 00:00:1762442718.679722 1477298 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=1476162)[0m W0000 00:00:1762442718.679724 1477298 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=1476162)[0m 2025-11-06 16:25:18.686230: 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=1476162)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree              0.6081 │
│ gamma                        22.5352 │
│ learning_rate                0.01586 │
│ max_depth                          3 │
│ min_child_weight                 142 │
│ num_boost_round                  306 │
│ random_state                    6144 │
│ reg_alpha                    84.3148 │
│ reg_lambda                    7.9951 │
│ subsample                     0.6867 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.52588 │
│ gamma                        14.8306 │
│ learning_rate                0.01697 │
│ max_depth                          2 │
│ min_child_weight                  72 │
│ num_boost_round                  342 │
│ random_state                     301 │
│ reg_alpha                    3.89579 │
│ reg_lambda                   599.577 │
│ subsample                    0.52494 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.78931 │
│ gamma                         16.897 │
│ learning_rate                0.01021 │
│ max_depth                          3 │
│ min_child_weight                 119 │
│ num_boost_round                  381 │
│ random_state                    3452 │
│ reg_alpha                    1.26576 │
│ reg_lambda                   127.648 │
│ subsample                    0.77765 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.80595 │
│ gamma                        26.8468 │
│ learning_rate                0.01357 │
│ max_depth                          3 │
│ min_child_weight                 103 │
│ num_boost_round                  235 │
│ random_state                    6200 │
│ reg_alpha                     3.3206 │
│ reg_lambda                    17.945 │
│ subsample                    0.52452 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.60192 │
│ gamma                        15.4261 │
│ learning_rate                0.01437 │
│ max_depth                          2 │
│ min_child_weight                 131 │
│ num_boost_round                  793 │
│ random_state                    2216 │
│ reg_alpha                     33.403 │
│ reg_lambda                    19.662 │
│ subsample                     0.5801 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.73243 │
│ gamma                        12.4168 │
│ learning_rate                0.00767 │
│ max_depth                          3 │
│ min_child_weight                  61 │
│ num_boost_round                  421 │
│ random_state                    8726 │
│ reg_alpha                    286.922 │
│ reg_lambda                   684.737 │
│ subsample                     0.5118 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.76226 │
│ gamma                        6.80625 │
│ learning_rate                0.00577 │
│ max_depth                          3 │
│ min_child_weight                 158 │
│ num_boost_round                  585 │
│ random_state                    9973 │
│ reg_alpha                    804.336 │
│ reg_lambda                   287.907 │
│ subsample                    0.64434 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.79135 │
│ gamma                         26.576 │
│ learning_rate                0.01534 │
│ max_depth                          2 │
│ min_child_weight                 157 │
│ num_boost_round                  369 │
│ random_state                    3231 │
│ reg_alpha                     750.74 │
│ reg_lambda                   22.9536 │
│ subsample                    0.76214 │
╰──────────────────────────────────────╯
Trial trial_cb5e2 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 config             │
├──────────────────────────────────────┤
│ colsample_bytree             0.78269 │
│ gamma                        22.5297 │
│ learning_rate                0.01722 │
│ max_depth                          2 │
│ min_child_weight                  66 │
│ num_boost_round                  328 │
│ random_state                    2502 │
│ reg_alpha                    8.16998 │
│ reg_lambda                   872.084 │
│ subsample                    0.84866 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476142)[0m [0]	train-mlogloss:1.37863	validation-mlogloss:1.37820
[36m(train_xgb_ray_tune pid=1476142)[0m [1]	train-mlogloss:1.37129	validation-mlogloss:1.37055
[36m(train_xgb_ray_tune pid=1476142)[0m [2]	train-mlogloss:1.36436	validation-mlogloss:1.36325
[36m(train_xgb_ray_tune pid=1476142)[0m [3]	train-mlogloss:1.35705	validation-mlogloss:1.35548
[36m(train_xgb_ray_tune pid=1476142)[0m [4]	train-mlogloss:1.34975	validation-mlogloss:1.34777
[36m(train_xgb_ray_tune pid=1476142)[0m [5]	train-mlogloss:1.34294	validation-mlogloss:1.34074
[36m(train_xgb_ray_tune pid=1476142)[0m [6]	train-mlogloss:1.33601	validation-mlogloss:1.33345
[36m(train_xgb_ray_tune pid=1476142)[0m [7]	train-mlogloss:1.32920	validation-mlogloss:1.32633
[36m(train_xgb_ray_tune pid=1476142)[0m [8]	train-mlogloss:1.32263	validation-mlogloss:1.31938
[36m(train_xgb_ray_tune pid=1476162)[0m [0]	train-mlogloss:1.37874	validation-mlogloss:1.37845
[36m(train_xgb_ray_tune pid=1476162)[0m [1]	train-mlogloss:1.37098	validation-mlogloss:1.37022
[36m(train_xgb_ray_tune pid=1476162)[0m [2]	train-mlogloss:1.36347	validation-mlogloss:1.36216
[36m(train_xgb_ray_tune pid=1476162)[0m [3]	train-mlogloss:1.35597	validation-mlogloss:1.35418
[36m(train_xgb_ray_tune pid=1476162)[0m [4]	train-mlogloss:1.34871	validation-mlogloss:1.34650
[36m(train_xgb_ray_tune pid=1476162)[0m [5]	train-mlogloss:1.34163	validation-mlogloss:1.33899
[36m(train_xgb_ray_tune pid=1476162)[0m [6]	train-mlogloss:1.33451	validation-mlogloss:1.33148
[36m(train_xgb_ray_tune pid=1476162)[0m [7]	train-mlogloss:1.32752	validation-mlogloss:1.32400
[36m(train_xgb_ray_tune pid=1476142)[0m [9]	train-mlogloss:1.31608	validation-mlogloss:1.31255
[36m(train_xgb_ray_tune pid=1476142)[0m [10]	train-mlogloss:1.30966	validation-mlogloss:1.30582
[36m(train_xgb_ray_tune pid=1476142)[0m [11]	train-mlogloss:1.30329	validation-mlogloss:1.29913
[36m(train_xgb_ray_tune pid=1476142)[0m [12]	train-mlogloss:1.29703	validation-mlogloss:1.29244
[36m(train_xgb_ray_tune pid=1476142)[0m [13]	train-mlogloss:1.29069	validation-mlogloss:1.28565
[36m(train_xgb_ray_tune pid=1476142)[0m [14]	train-mlogloss:1.28463	validation-mlogloss:1.27937
[36m(train_xgb_ray_tune pid=1476142)[0m [15]	train-mlogloss:1.27858	validation-mlogloss:1.27312
[36m(train_xgb_ray_tune pid=1476142)[0m [16]	train-mlogloss:1.27253	validation-mlogloss:1.26668
[36m(train_xgb_ray_tune pid=1476142)[0m [17]	train-mlogloss:1.26661	validation-mlogloss:1.26035
[36m(train_xgb_ray_tune pid=1476142)[0m [18]	train-mlogloss:1.26092	validation-mlogloss:1.25439
[36m(train_xgb_ray_tune pid=1476142)[0m [19]	train-mlogloss:1.25538	validation-mlogloss:1.24851
[36m(train_xgb_ray_tune pid=1476162)[0m [8]	train-mlogloss:1.32059	validation-mlogloss:1.31661
[36m(train_xgb_ray_tune pid=1476162)[0m [9]	train-mlogloss:1.31381	validation-mlogloss:1.30942
[36m(train_xgb_ray_tune pid=1476162)[0m [10]	train-mlogloss:1.30708	validation-mlogloss:1.30219
[36m(train_xgb_ray_tune pid=1476162)[0m [11]	train-mlogloss:1.30032	validation-mlogloss:1.29500
[36m(train_xgb_ray_tune pid=1476162)[0m [12]	train-mlogloss:1.29378	validation-mlogloss:1.28799
[36m(train_xgb_ray_tune pid=1476162)[0m [13]	train-mlogloss:1.28732	validation-mlogloss:1.28097
[36m(train_xgb_ray_tune pid=1476162)[0m [14]	train-mlogloss:1.28108	validation-mlogloss:1.27445
[36m(train_xgb_ray_tune pid=1476162)[0m [15]	train-mlogloss:1.27479	validation-mlogloss:1.26775
[36m(train_xgb_ray_tune pid=1476162)[0m [16]	train-mlogloss:1.26856	validation-mlogloss:1.26109
[36m(train_xgb_ray_tune pid=1476162)[0m [17]	train-mlogloss:1.26243	validation-mlogloss:1.25459
[36m(train_xgb_ray_tune pid=1476162)[0m [18]	train-mlogloss:1.25634	validation-mlogloss:1.24814
[36m(train_xgb_ray_tune pid=1476162)[0m [19]	train-mlogloss:1.25034	validation-mlogloss:1.24179
[36m(train_xgb_ray_tune pid=1476162)[0m [20]	train-mlogloss:1.24448	validation-mlogloss:1.23554
[36m(train_xgb_ray_tune pid=1476165)[0m [0]	train-mlogloss:1.38203	validation-mlogloss:1.38176
[36m(train_xgb_ray_tune pid=1476165)[0m [1]	train-mlogloss:1.37768	validation-mlogloss:1.37712
[36m(train_xgb_ray_tune pid=1476165)[0m [2]	train-mlogloss:1.37332	validation-mlogloss:1.37246
[36m(train_xgb_ray_tune pid=1476165)[0m [3]	train-mlogloss:1.36908	validation-mlogloss:1.36798
[36m(train_xgb_ray_tune pid=1476165)[0m [4]	train-mlogloss:1.36509	validation-mlogloss:1.36375
[36m(train_xgb_ray_tune pid=1476165)[0m [5]	train-mlogloss:1.36073	validation-mlogloss:1.35924
[36m(train_xgb_ray_tune pid=1476165)[0m [6]	train-mlogloss:1.35660	validation-mlogloss:1.35489
[36m(train_xgb_ray_tune pid=1476168)[0m [0]	train-mlogloss:1.38095	validation-mlogloss:1.38065
[36m(train_xgb_ray_tune pid=1476168)[0m [1]	train-mlogloss:1.37588	validation-mlogloss:1.37531
[36m(train_xgb_ray_tune pid=1476168)[0m [2]	train-mlogloss:1.37072	validation-mlogloss:1.36984
[36m(train_xgb_ray_tune pid=1476168)[0m [3]	train-mlogloss:1.36580	validation-mlogloss:1.36463
[36m(train_xgb_ray_tune pid=1476161)[0m [0]	train-mlogloss:1.37566	validation-mlogloss:1.37495
[36m(train_xgb_ray_tune pid=1476161)[0m [1]	train-mlogloss:1.36526	validation-mlogloss:1.36386
[36m(train_xgb_ray_tune pid=1476161)[0m [2]	train-mlogloss:1.35553	validation-mlogloss:1.35372
[36m(train_xgb_ray_tune pid=1476161)[0m [3]	train-mlogloss:1.34622	validation-mlogloss:1.34416
[36m(train_xgb_ray_tune pid=1476161)[0m [4]	train-mlogloss:1.33688	validation-mlogloss:1.33419
[36m(train_xgb_ray_tune pid=1476161)[0m [5]	train-mlogloss:1.32769	validation-mlogloss:1.32447
[36m(train_xgb_ray_tune pid=1476161)[0m [6]	train-mlogloss:1.31887	validation-mlogloss:1.31529
[36m(train_xgb_ray_tune pid=1476166)[0m [0]	train-mlogloss:1.37259	validation-mlogloss:1.37197
[36m(train_xgb_ray_tune pid=1476166)[0m [1]	train-mlogloss:1.35899	validation-mlogloss:1.35781
[36m(train_xgb_ray_tune pid=1476166)[0m [2]	train-mlogloss:1.34564	validation-mlogloss:1.34371
[36m(train_xgb_ray_tune pid=1476166)[0m [3]	train-mlogloss:1.33340	validation-mlogloss:1.33136
[36m(train_xgb_ray_tune pid=1476142)[0m [20]	train-mlogloss:1.24996	validation-mlogloss:1.24288
[36m(train_xgb_ray_tune pid=1476165)[0m [7]	train-mlogloss:1.35246	validation-mlogloss:1.35050
[36m(train_xgb_ray_tune pid=1476168)[0m [4]	train-mlogloss:1.36083	validation-mlogloss:1.35938
[36m(train_xgb_ray_tune pid=1476161)[0m [7]	train-mlogloss:1.31014	validation-mlogloss:1.30590
[36m(train_xgb_ray_tune pid=1476162)[0m [21]	train-mlogloss:1.23863	validation-mlogloss:1.22932
[36m(train_xgb_ray_tune pid=1476166)[0m [4]	train-mlogloss:1.32078	validation-mlogloss:1.31840
[36m(train_xgb_ray_tune pid=1476142)[0m [21]	train-mlogloss:1.24450	validation-mlogloss:1.23709
[36m(train_xgb_ray_tune pid=1476168)[0m [5]	train-mlogloss:1.35590	validation-mlogloss:1.35424
[36m(train_xgb_ray_tune pid=1476161)[0m [8]	train-mlogloss:1.30187	validation-mlogloss:1.29740
[36m(train_xgb_ray_tune pid=1476162)[0m [22]	train-mlogloss:1.23289	validation-mlogloss:1.22319
[36m(train_xgb_ray_tune pid=1476165)[0m [8]	train-mlogloss:1.34841	validation-mlogloss:1.34621
[36m(train_xgb_ray_tune pid=1476166)[0m [5]	train-mlogloss:1.30902	validation-mlogloss:1.30613
[36m(train_xgb_ray_tune pid=1476142)[0m [22]	train-mlogloss:1.23891	validation-mlogloss:1.23117
[36m(train_xgb_ray_tune pid=1476168)[0m [6]	train-mlogloss:1.35100	validation-mlogloss:1.34911
[36m(train_xgb_ray_tune pid=1476161)[0m [9]	train-mlogloss:1.29331	validation-mlogloss:1.28823
[36m(train_xgb_ray_tune pid=1476162)[0m [23]	train-mlogloss:1.22723	validation-mlogloss:1.21716
[36m(train_xgb_ray_tune pid=1476165)[0m [9]	train-mlogloss:1.34455	validation-mlogloss:1.34219
[36m(train_xgb_ray_tune pid=1476166)[0m [6]	train-mlogloss:1.29716	validation-mlogloss:1.29403
[36m(train_xgb_ray_tune pid=1476142)[0m [23]	train-mlogloss:1.23355	validation-mlogloss:1.22557
[36m(train_xgb_ray_tune pid=1476168)[0m [7]	train-mlogloss:1.34603	validation-mlogloss:1.34388
[36m(train_xgb_ray_tune pid=1476161)[0m [10]	train-mlogloss:1.28547	validation-mlogloss:1.28016
[36m(train_xgb_ray_tune pid=1476162)[0m [24]	train-mlogloss:1.22163	validation-mlogloss:1.21114
[36m(train_xgb_ray_tune pid=1476165)[0m [10]	train-mlogloss:1.34066	validation-mlogloss:1.33815
[36m(train_xgb_ray_tune pid=1476166)[0m [7]	train-mlogloss:1.28556	validation-mlogloss:1.28199
[36m(train_xgb_ray_tune pid=1476142)[0m [24]	train-mlogloss:1.22835	validation-mlogloss:1.22002
[36m(train_xgb_ray_tune pid=1476162)[0m [25]	train-mlogloss:1.21627	validation-mlogloss:1.20556
[36m(train_xgb_ray_tune pid=1476165)[0m [11]	train-mlogloss:1.33665	validation-mlogloss:1.33399
[36m(train_xgb_ray_tune pid=1476168)[0m [8]	train-mlogloss:1.34113	validation-mlogloss:1.33876
[36m(train_xgb_ray_tune pid=1476161)[0m [11]	train-mlogloss:1.27741	validation-mlogloss:1.27159
[36m(train_xgb_ray_tune pid=1476166)[0m [8]	train-mlogloss:1.27431	validation-mlogloss:1.27075
[36m(train_xgb_ray_tune pid=1476142)[0m [25]	train-mlogloss:1.22324	validation-mlogloss:1.21459
[36m(train_xgb_ray_tune pid=1476168)[0m [9]	train-mlogloss:1.33656	validation-mlogloss:1.33395
[36m(train_xgb_ray_tune pid=1476161)[0m [12]	train-mlogloss:1.26938	validation-mlogloss:1.26303
[36m(train_xgb_ray_tune pid=1476162)[0m [26]	train-mlogloss:1.21084	validation-mlogloss:1.19982
[36m(train_xgb_ray_tune pid=1476165)[0m [12]	train-mlogloss:1.33276	validation-mlogloss:1.32998
[36m(train_xgb_ray_tune pid=1476168)[0m [10]	train-mlogloss:1.33200	validation-mlogloss:1.32920
[36m(train_xgb_ray_tune pid=1476166)[0m [9]	train-mlogloss:1.26327	validation-mlogloss:1.25917
[36m(train_xgb_ray_tune pid=1476142)[0m [26]	train-mlogloss:1.21806	validation-mlogloss:1.20906
[36m(train_xgb_ray_tune pid=1476161)[0m [13]	train-mlogloss:1.26164	validation-mlogloss:1.25475
[36m(train_xgb_ray_tune pid=1476162)[0m [27]	train-mlogloss:1.20552	validation-mlogloss:1.19418
[36m(train_xgb_ray_tune pid=1476165)[0m [13]	train-mlogloss:1.32886	validation-mlogloss:1.32588
[36m(train_xgb_ray_tune pid=1476168)[0m [11]	train-mlogloss:1.32730	validation-mlogloss:1.32414
[36m(train_xgb_ray_tune pid=1476161)[0m [14]	train-mlogloss:1.25410	validation-mlogloss:1.24660
[36m(train_xgb_ray_tune pid=1476166)[0m [10]	train-mlogloss:1.25230	validation-mlogloss:1.24818
[36m(train_xgb_ray_tune pid=1476162)[0m [28]	train-mlogloss:1.20022	validation-mlogloss:1.18843
[36m(train_xgb_ray_tune pid=1476142)[0m [27]	train-mlogloss:1.21284	validation-mlogloss:1.20354
[36m(train_xgb_ray_tune pid=1476165)[0m [14]	train-mlogloss:1.32498	validation-mlogloss:1.32203
[36m(train_xgb_ray_tune pid=1476168)[0m [12]	train-mlogloss:1.32281	validation-mlogloss:1.31940
[36m(train_xgb_ray_tune pid=1476162)[0m [29]	train-mlogloss:1.19495	validation-mlogloss:1.18275
[36m(train_xgb_ray_tune pid=1476161)[0m [15]	train-mlogloss:1.24672	validation-mlogloss:1.23871
[36m(train_xgb_ray_tune pid=1476166)[0m [11]	train-mlogloss:1.24168	validation-mlogloss:1.23687
[36m(train_xgb_ray_tune pid=1476165)[0m [15]	train-mlogloss:1.32116	validation-mlogloss:1.31806
[36m(train_xgb_ray_tune pid=1476168)[0m [13]	train-mlogloss:1.31822	validation-mlogloss:1.31450
[36m(train_xgb_ray_tune pid=1476142)[0m [28]	train-mlogloss:1.20787	validation-mlogloss:1.19836
[36m(train_xgb_ray_tune pid=1476162)[0m [30]	train-mlogloss:1.18978	validation-mlogloss:1.17711
[36m(train_xgb_ray_tune pid=1476161)[0m [16]	train-mlogloss:1.23972	validation-mlogloss:1.23151
[36m(train_xgb_ray_tune pid=1476166)[0m [12]	train-mlogloss:1.23152	validation-mlogloss:1.22644
[36m(train_xgb_ray_tune pid=1476165)[0m [16]	train-mlogloss:1.31728	validation-mlogloss:1.31389
[36m(train_xgb_ray_tune pid=1476168)[0m [14]	train-mlogloss:1.31366	validation-mlogloss:1.30969
[36m(train_xgb_ray_tune pid=1476142)[0m [29]	train-mlogloss:1.20280	validation-mlogloss:1.19295
[36m(train_xgb_ray_tune pid=1476162)[0m [31]	train-mlogloss:1.18469	validation-mlogloss:1.17167
[36m(train_xgb_ray_tune pid=1476161)[0m [17]	train-mlogloss:1.23270	validation-mlogloss:1.22399
[36m(train_xgb_ray_tune pid=1476166)[0m [13]	train-mlogloss:1.22143	validation-mlogloss:1.21575
[36m(train_xgb_ray_tune pid=1476142)[0m [30]	train-mlogloss:1.19805	validation-mlogloss:1.18793
[36m(train_xgb_ray_tune pid=1476142)[0m [31]	train-mlogloss:1.19327	validation-mlogloss:1.18288
[36m(train_xgb_ray_tune pid=1476142)[0m [32]	train-mlogloss:1.18860	validation-mlogloss:1.17787
[36m(train_xgb_ray_tune pid=1476142)[0m [33]	train-mlogloss:1.18390	validation-mlogloss:1.17307
[36m(train_xgb_ray_tune pid=1476142)[0m [34]	train-mlogloss:1.17931	validation-mlogloss:1.16815
[36m(train_xgb_ray_tune pid=1476142)[0m [35]	train-mlogloss:1.17467	validation-mlogloss:1.16318
[36m(train_xgb_ray_tune pid=1476142)[0m [36]	train-mlogloss:1.17044	validation-mlogloss:1.15876
[36m(train_xgb_ray_tune pid=1476142)[0m [37]	train-mlogloss:1.16600	validation-mlogloss:1.15395
[36m(train_xgb_ray_tune pid=1476142)[0m [38]	train-mlogloss:1.16156	validation-mlogloss:1.14916
[36m(train_xgb_ray_tune pid=1476142)[0m [39]	train-mlogloss:1.15717	validation-mlogloss:1.14449
[36m(train_xgb_ray_tune pid=1476142)[0m [40]	train-mlogloss:1.15304	validation-mlogloss:1.14021
[36m(train_xgb_ray_tune pid=1476162)[0m [32]	train-mlogloss:1.17958	validation-mlogloss:1.16622
[36m(train_xgb_ray_tune pid=1476162)[0m [33]	train-mlogloss:1.17466	validation-mlogloss:1.16099
[36m(train_xgb_ray_tune pid=1476162)[0m [34]	train-mlogloss:1.16963	validation-mlogloss:1.15565
[36m(train_xgb_ray_tune pid=1476162)[0m [35]	train-mlogloss:1.16474	validation-mlogloss:1.15040
[36m(train_xgb_ray_tune pid=1476162)[0m [36]	train-mlogloss:1.15996	validation-mlogloss:1.14532
[36m(train_xgb_ray_tune pid=1476162)[0m [37]	train-mlogloss:1.15521	validation-mlogloss:1.14018
[36m(train_xgb_ray_tune pid=1476162)[0m [38]	train-mlogloss:1.15053	validation-mlogloss:1.13507
[36m(train_xgb_ray_tune pid=1476162)[0m [39]	train-mlogloss:1.14586	validation-mlogloss:1.13017
[36m(train_xgb_ray_tune pid=1476162)[0m [40]	train-mlogloss:1.14125	validation-mlogloss:1.12515
[36m(train_xgb_ray_tune pid=1476162)[0m [41]	train-mlogloss:1.13678	validation-mlogloss:1.12045
[36m(train_xgb_ray_tune pid=1476162)[0m [42]	train-mlogloss:1.13232	validation-mlogloss:1.11570
[36m(train_xgb_ray_tune pid=1476162)[0m [43]	train-mlogloss:1.12807	validation-mlogloss:1.11111
[36m(train_xgb_ray_tune pid=1476156)[0m [0]	train-mlogloss:1.38381	validation-mlogloss:1.38361
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[36m(train_xgb_ray_tune pid=1476170)[0m [127]	train-mlogloss:0.85450	validation-mlogloss:0.82350
[36m(train_xgb_ray_tune pid=1476168)[0m [210]	train-mlogloss:0.95045	validation-mlogloss:0.92771
[36m(train_xgb_ray_tune pid=1476161)[0m [235]	train-mlogloss:0.86207	validation-mlogloss:0.82945
[36m(train_xgb_ray_tune pid=1476166)[0m [189]	train-mlogloss:0.69201	validation-mlogloss:0.64731
[36m(train_xgb_ray_tune pid=1476167)[0m [153]	train-mlogloss:0.84491	validation-mlogloss:0.81281
[36m(train_xgb_ray_tune pid=1476169)[0m [135]	train-mlogloss:0.76229	validation-mlogloss:0.72664
[36m(train_xgb_ray_tune pid=1476159)[0m [159]	train-mlogloss:1.00273	validation-mlogloss:0.98339
[36m(train_xgb_ray_tune pid=1476157)[0m [144]	train-mlogloss:0.74019	validation-mlogloss:0.69672
[36m(train_xgb_ray_tune pid=1476142)[0m [223]	train-mlogloss:0.81790	validation-mlogloss:0.78411
[36m(train_xgb_ray_tune pid=1476160)[0m [120]	train-mlogloss:0.88699	validation-mlogloss:0.85990
[36m(train_xgb_ray_tune pid=1476163)[0m [168]	train-mlogloss:1.20216	validation-mlogloss:1.18942
[36m(train_xgb_ray_tune pid=1476163)[0m [169]	train-mlogloss:1.20216	validation-mlogloss:1.18942
[36m(train_xgb_ray_tune pid=1476171)[0m [148]	train-mlogloss:1.18970	validation-mlogloss:1.17862
[36m(train_xgb_ray_tune pid=1476171)[0m [149]	train-mlogloss:1.18873	validation-mlogloss:1.17759
[36m(train_xgb_ray_tune pid=1476144)[0m [178]	train-mlogloss:0.80023	validation-mlogloss:0.76169
[36m(train_xgb_ray_tune pid=1476144)[0m [179]	train-mlogloss:0.79908	validation-mlogloss:0.76040
[36m(train_xgb_ray_tune pid=1476156)[0m [222]	train-mlogloss:1.09058	validation-mlogloss:1.07544
[36m(train_xgb_ray_tune pid=1476156)[0m [223]	train-mlogloss:1.08986	validation-mlogloss:1.07472
[36m(train_xgb_ray_tune pid=1476143)[0m [131]	train-mlogloss:0.83745	validation-mlogloss:0.81273
[36m(train_xgb_ray_tune pid=1476150)[0m [165]	train-mlogloss:0.73506	validation-mlogloss:0.69047
[36m(train_xgb_ray_tune pid=1476150)[0m [166]	train-mlogloss:0.73403	validation-mlogloss:0.68934
[36m(train_xgb_ray_tune pid=1476164)[0m [164]	train-mlogloss:0.74695	validation-mlogloss:0.70493
[36m(train_xgb_ray_tune pid=1476164)[0m [165]	train-mlogloss:0.74618	validation-mlogloss:0.70404
[36m(train_xgb_ray_tune pid=1476165)[0m [218]	train-mlogloss:0.88199	validation-mlogloss:0.85541
[36m(train_xgb_ray_tune pid=1476158)[0m [190]	train-mlogloss:1.33608	validation-mlogloss:1.33242
[36m(train_xgb_ray_tune pid=1476158)[0m [191]	train-mlogloss:1.33583	validation-mlogloss:1.33216
[36m(train_xgb_ray_tune pid=1476170)[0m [128]	train-mlogloss:0.85275	validation-mlogloss:0.82149
[36m(train_xgb_ray_tune pid=1476170)[0m [129]	train-mlogloss:0.85087	validation-mlogloss:0.81955
[36m(train_xgb_ray_tune pid=1476168)[0m [211]	train-mlogloss:0.94973	validation-mlogloss:0.92695
[36m(train_xgb_ray_tune pid=1476168)[0m [212]	train-mlogloss:0.94930	validation-mlogloss:0.92650
[36m(train_xgb_ray_tune pid=1476166)[0m [190]	train-mlogloss:0.69143	validation-mlogloss:0.64665
[36m(train_xgb_ray_tune pid=1476166)[0m [191]	train-mlogloss:0.69081	validation-mlogloss:0.64588
[36m(train_xgb_ray_tune pid=1476167)[0m [154]	train-mlogloss:0.84349	validation-mlogloss:0.81125
[36m(train_xgb_ray_tune pid=1476169)[0m [136]	train-mlogloss:0.76054	validation-mlogloss:0.72470
[36m(train_xgb_ray_tune pid=1476169)[0m [137]	train-mlogloss:0.75914	validation-mlogloss:0.72316
[36m(train_xgb_ray_tune pid=1476159)[0m [160]	train-mlogloss:1.00123	validation-mlogloss:0.98180
[36m(train_xgb_ray_tune pid=1476159)[0m [161]	train-mlogloss:0.99983	validation-mlogloss:0.98030
[36m(train_xgb_ray_tune pid=1476157)[0m [145]	train-mlogloss:0.73876	validation-mlogloss:0.69514
[36m(train_xgb_ray_tune pid=1476157)[0m [146]	train-mlogloss:0.73719	validation-mlogloss:0.69336
[36m(train_xgb_ray_tune pid=1476142)[0m [224]	train-mlogloss:0.81739	validation-mlogloss:0.78357
[36m(train_xgb_ray_tune pid=1476142)[0m [225]	train-mlogloss:0.81689	validation-mlogloss:0.78305
[36m(train_xgb_ray_tune pid=1476142)[0m [226]	train-mlogloss:0.81638	validation-mlogloss:0.78250
[36m(train_xgb_ray_tune pid=1476160)[0m [121]	train-mlogloss:0.88490	validation-mlogloss:0.85762
[36m(train_xgb_ray_tune pid=1476160)[0m [122]	train-mlogloss:0.88293	validation-mlogloss:0.85557
[36m(train_xgb_ray_tune pid=1476162)[0m [218]	train-mlogloss:0.76384	validation-mlogloss:0.71974
[36m(train_xgb_ray_tune pid=1476162)[0m [219]	train-mlogloss:0.76306	validation-mlogloss:0.71886
[36m(train_xgb_ray_tune pid=1476163)[0m [170]	train-mlogloss:1.20216	validation-mlogloss:1.18942
[36m(train_xgb_ray_tune pid=1476163)[0m [171]	train-mlogloss:1.20156	validation-mlogloss:1.18878
[36m(train_xgb_ray_tune pid=1476163)[0m [172]	train-mlogloss:1.20097	validation-mlogloss:1.18815
[36m(train_xgb_ray_tune pid=1476171)[0m [150]	train-mlogloss:1.18785	validation-mlogloss:1.17666
[36m(train_xgb_ray_tune pid=1476171)[0m [151]	train-mlogloss:1.18694	validation-mlogloss:1.17570
[36m(train_xgb_ray_tune pid=1476144)[0m [180]	train-mlogloss:0.79792	validation-mlogloss:0.75909
[36m(train_xgb_ray_tune pid=1476156)[0m [224]	train-mlogloss:1.08916	validation-mlogloss:1.07398
[36m(train_xgb_ray_tune pid=1476156)[0m [225]	train-mlogloss:1.08841	validation-mlogloss:1.07318
[36m(train_xgb_ray_tune pid=1476143)[0m [132]	train-mlogloss:0.83548	validation-mlogloss:0.81054
[36m(train_xgb_ray_tune pid=1476150)[0m [167]	train-mlogloss:0.73277	validation-mlogloss:0.68792
[36m(train_xgb_ray_tune pid=1476150)[0m [168]	train-mlogloss:0.73162	validation-mlogloss:0.68652
[36m(train_xgb_ray_tune pid=1476164)[0m [166]	train-mlogloss:0.74544	validation-mlogloss:0.70326
[36m(train_xgb_ray_tune pid=1476164)[0m [167]	train-mlogloss:0.74485	validation-mlogloss:0.70266
[36m(train_xgb_ray_tune pid=1476165)[0m [219]	train-mlogloss:0.88070	validation-mlogloss:0.85402
[36m(train_xgb_ray_tune pid=1476161)[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=1476161)[0m   _log_deprecation_warning(
[36m(train_xgb_ray_tune pid=1476170)[0m 2025-11-06 16:25:19.119795: 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=1476158)[0m 2025-11-06 16:25:19.117492: 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=1476158)[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=1476158)[0m E0000 00:00:1762442719.149611 1477429 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=1476158)[0m E0000 00:00:1762442719.158309 1477429 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=1476158)[0m W0000 00:00:1762442719.178616 1477429 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=1476158)[0m 2025-11-06 16:25:19.185041: 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=1476158)[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=1476165)[0m [220]	train-mlogloss:0.87961	validation-mlogloss:0.85286
[36m(train_xgb_ray_tune pid=1476158)[0m [192]	train-mlogloss:1.33569	validation-mlogloss:1.33201
[36m(train_xgb_ray_tune pid=1476170)[0m [130]	train-mlogloss:0.84916	validation-mlogloss:0.81768
[36m(train_xgb_ray_tune pid=1476168)[0m [213]	train-mlogloss:0.94891	validation-mlogloss:0.92605
[36m(train_xgb_ray_tune pid=1476166)[0m [192]	train-mlogloss:0.69028	validation-mlogloss:0.64530
[36m(train_xgb_ray_tune pid=1476166)[0m [193]	train-mlogloss:0.68974	validation-mlogloss:0.64470
[36m(train_xgb_ray_tune pid=1476167)[0m [155]	train-mlogloss:0.84193	validation-mlogloss:0.80961
[36m(train_xgb_ray_tune pid=1476159)[0m [162]	train-mlogloss:0.99837	validation-mlogloss:0.97875
[36m(train_xgb_ray_tune pid=1476142)[0m [227]	train-mlogloss:0.81588	validation-mlogloss:0.78194
[36m(train_xgb_ray_tune pid=1476160)[0m [123]	train-mlogloss:0.88092	validation-mlogloss:0.85339
[36m(train_xgb_ray_tune pid=1476162)[0m [220]	train-mlogloss:0.76200	validation-mlogloss:0.71772
[36m(train_xgb_ray_tune pid=1476163)[0m [173]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [152]	train-mlogloss:1.18590	validation-mlogloss:1.17461
[36m(train_xgb_ray_tune pid=1476144)[0m [181]	train-mlogloss:0.79651	validation-mlogloss:0.75745
[36m(train_xgb_ray_tune pid=1476156)[0m [226]	train-mlogloss:1.08768	validation-mlogloss:1.07238
[36m(train_xgb_ray_tune pid=1476143)[0m [133]	train-mlogloss:0.83347	validation-mlogloss:0.80846
[36m(train_xgb_ray_tune pid=1476164)[0m [168]	train-mlogloss:0.74398	validation-mlogloss:0.70170
[36m(train_xgb_ray_tune pid=1476165)[0m [221]	train-mlogloss:0.87850	validation-mlogloss:0.85162
[36m(train_xgb_ray_tune pid=1476158)[0m [193]	train-mlogloss:1.33543	validation-mlogloss:1.33172
[36m(train_xgb_ray_tune pid=1476170)[0m [131]	train-mlogloss:0.84744	validation-mlogloss:0.81576
[36m(train_xgb_ray_tune pid=1476168)[0m [214]	train-mlogloss:0.94823	validation-mlogloss:0.92533
[36m(train_xgb_ray_tune pid=1476166)[0m [194]	train-mlogloss:0.68916	validation-mlogloss:0.64404
[36m(train_xgb_ray_tune pid=1476169)[0m [138]	train-mlogloss:0.75748	validation-mlogloss:0.72127
[36m(train_xgb_ray_tune pid=1476159)[0m [163]	train-mlogloss:0.99696	validation-mlogloss:0.97729
[36m(train_xgb_ray_tune pid=1476157)[0m [147]	train-mlogloss:0.73576	validation-mlogloss:0.69191
[36m(train_xgb_ray_tune pid=1476142)[0m [228]	train-mlogloss:0.81509	validation-mlogloss:0.78106
[36m(train_xgb_ray_tune pid=1476160)[0m [124]	train-mlogloss:0.87896	validation-mlogloss:0.85131
[36m(train_xgb_ray_tune pid=1476162)[0m [221]	train-mlogloss:0.76120	validation-mlogloss:0.71683
[36m(train_xgb_ray_tune pid=1476163)[0m [174]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [153]	train-mlogloss:1.18493	validation-mlogloss:1.17355
[36m(train_xgb_ray_tune pid=1476144)[0m [182]	train-mlogloss:0.79539	validation-mlogloss:0.75618
[36m(train_xgb_ray_tune pid=1476144)[0m [183]	train-mlogloss:0.79422	validation-mlogloss:0.75484
[36m(train_xgb_ray_tune pid=1476156)[0m [227]	train-mlogloss:1.08709	validation-mlogloss:1.07176
[36m(train_xgb_ray_tune pid=1476156)[0m [228]	train-mlogloss:1.08650	validation-mlogloss:1.07114
[36m(train_xgb_ray_tune pid=1476143)[0m [134]	train-mlogloss:0.83149	validation-mlogloss:0.80636
[36m(train_xgb_ray_tune pid=1476150)[0m [169]	train-mlogloss:0.73063	validation-mlogloss:0.68541
[36m(train_xgb_ray_tune pid=1476150)[0m [170]	train-mlogloss:0.72954	validation-mlogloss:0.68413
[36m(train_xgb_ray_tune pid=1476164)[0m [169]	train-mlogloss:0.74323	validation-mlogloss:0.70080
[36m(train_xgb_ray_tune pid=1476165)[0m [222]	train-mlogloss:0.87741	validation-mlogloss:0.85042
[36m(train_xgb_ray_tune pid=1476158)[0m [194]	train-mlogloss:1.33520	validation-mlogloss:1.33149
[36m(train_xgb_ray_tune pid=1476158)[0m [195]	train-mlogloss:1.33496	validation-mlogloss:1.33124
[36m(train_xgb_ray_tune pid=1476170)[0m [132]	train-mlogloss:0.84577	validation-mlogloss:0.81396
[36m(train_xgb_ray_tune pid=1476168)[0m [215]	train-mlogloss:0.94760	validation-mlogloss:0.92466
[36m(train_xgb_ray_tune pid=1476166)[0m [195]	train-mlogloss:0.68847	validation-mlogloss:0.64319
[36m(train_xgb_ray_tune pid=1476167)[0m [156]	train-mlogloss:0.84060	validation-mlogloss:0.80819
[36m(train_xgb_ray_tune pid=1476169)[0m [139]	train-mlogloss:0.75591	validation-mlogloss:0.71937
[36m(train_xgb_ray_tune pid=1476159)[0m [164]	train-mlogloss:0.99558	validation-mlogloss:0.97575
[36m(train_xgb_ray_tune pid=1476157)[0m [148]	train-mlogloss:0.73399	validation-mlogloss:0.68988
[36m(train_xgb_ray_tune pid=1476142)[0m [229]	train-mlogloss:0.81456	validation-mlogloss:0.78047
[36m(train_xgb_ray_tune pid=1476142)[0m [230]	train-mlogloss:0.81386	validation-mlogloss:0.77968
[36m(train_xgb_ray_tune pid=1476160)[0m [125]	train-mlogloss:0.87689	validation-mlogloss:0.84894
[36m(train_xgb_ray_tune pid=1476162)[0m [222]	train-mlogloss:0.76041	validation-mlogloss:0.71601
[36m(train_xgb_ray_tune pid=1476163)[0m [175]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [176]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [177]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [154]	train-mlogloss:1.18398	validation-mlogloss:1.17254
[36m(train_xgb_ray_tune pid=1476144)[0m [184]	train-mlogloss:0.79299	validation-mlogloss:0.75355
[36m(train_xgb_ray_tune pid=1476156)[0m [229]	train-mlogloss:1.08577	validation-mlogloss:1.07040
[36m(train_xgb_ray_tune pid=1476143)[0m [135]	train-mlogloss:0.82948	validation-mlogloss:0.80425
[36m(train_xgb_ray_tune pid=1476150)[0m [171]	train-mlogloss:0.72852	validation-mlogloss:0.68306
[36m(train_xgb_ray_tune pid=1476164)[0m [170]	train-mlogloss:0.74258	validation-mlogloss:0.70003
[36m(train_xgb_ray_tune pid=1476164)[0m [171]	train-mlogloss:0.74175	validation-mlogloss:0.69899
[36m(train_xgb_ray_tune pid=1476165)[0m [223]	train-mlogloss:0.87629	validation-mlogloss:0.84921
[36m(train_xgb_ray_tune pid=1476158)[0m [196]	train-mlogloss:1.33482	validation-mlogloss:1.33107
[36m(train_xgb_ray_tune pid=1476170)[0m [133]	train-mlogloss:0.84411	validation-mlogloss:0.81216
[36m(train_xgb_ray_tune pid=1476168)[0m [216]	train-mlogloss:0.94698	validation-mlogloss:0.92402
[36m(train_xgb_ray_tune pid=1476166)[0m [196]	train-mlogloss:0.68826	validation-mlogloss:0.64299
[36m(train_xgb_ray_tune pid=1476166)[0m [197]	train-mlogloss:0.68791	validation-mlogloss:0.64259
[36m(train_xgb_ray_tune pid=1476169)[0m [140]	train-mlogloss:0.75419	validation-mlogloss:0.71740
[36m(train_xgb_ray_tune pid=1476159)[0m [165]	train-mlogloss:0.99413	validation-mlogloss:0.97424
[36m(train_xgb_ray_tune pid=1476157)[0m [149]	train-mlogloss:0.73243	validation-mlogloss:0.68806
[36m(train_xgb_ray_tune pid=1476142)[0m [231]	train-mlogloss:0.81333	validation-mlogloss:0.77911

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:24. Total running time: 8s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             5.81377 │
│ time_total_s                 5.81377 │
│ training_iteration                 1 │
│ validation_accuracy          0.67798 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476160)[0m [126]	train-mlogloss:0.87491	validation-mlogloss:0.84683
[36m(train_xgb_ray_tune pid=1476160)[0m [127]	train-mlogloss:0.87300	validation-mlogloss:0.84476
[36m(train_xgb_ray_tune pid=1476162)[0m [223]	train-mlogloss:0.75964	validation-mlogloss:0.71520
[36m(train_xgb_ray_tune pid=1476163)[0m [178]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [179]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [155]	train-mlogloss:1.18308	validation-mlogloss:1.17161
[36m(train_xgb_ray_tune pid=1476171)[0m [156]	train-mlogloss:1.18205	validation-mlogloss:1.17053
[36m(train_xgb_ray_tune pid=1476144)[0m [185]	train-mlogloss:0.79189	validation-mlogloss:0.75229
[36m(train_xgb_ray_tune pid=1476156)[0m [230]	train-mlogloss:1.08507	validation-mlogloss:1.06969
[36m(train_xgb_ray_tune pid=1476156)[0m [231]	train-mlogloss:1.08449	validation-mlogloss:1.06910
[36m(train_xgb_ray_tune pid=1476143)[0m [136]	train-mlogloss:0.82764	validation-mlogloss:0.80227
[36m(train_xgb_ray_tune pid=1476150)[0m [172]	train-mlogloss:0.72756	validation-mlogloss:0.68183
[36m(train_xgb_ray_tune pid=1476164)[0m [172]	train-mlogloss:0.74076	validation-mlogloss:0.69787
[36m(train_xgb_ray_tune pid=1476165)[0m [224]	train-mlogloss:0.87517	validation-mlogloss:0.84801
[36m(train_xgb_ray_tune pid=1476165)[0m [225]	train-mlogloss:0.87406	validation-mlogloss:0.84684
[36m(train_xgb_ray_tune pid=1476158)[0m [197]	train-mlogloss:1.33466	validation-mlogloss:1.33089
[36m(train_xgb_ray_tune pid=1476170)[0m [134]	train-mlogloss:0.84244	validation-mlogloss:0.81034
[36m(train_xgb_ray_tune pid=1476168)[0m [217]	train-mlogloss:0.94635	validation-mlogloss:0.92332
[36m(train_xgb_ray_tune pid=1476168)[0m [218]	train-mlogloss:0.94592	validation-mlogloss:0.92283
[36m(train_xgb_ray_tune pid=1476166)[0m [198]	train-mlogloss:0.68740	validation-mlogloss:0.64193
[36m(train_xgb_ray_tune pid=1476167)[0m [157]	train-mlogloss:0.83917	validation-mlogloss:0.80672
[36m(train_xgb_ray_tune pid=1476167)[0m [158]	train-mlogloss:0.83762	validation-mlogloss:0.80497

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:24. Total running time: 8s
[36m(train_xgb_ray_tune pid=1476169)[0m [141]	train-mlogloss:0.75246	validation-mlogloss:0.71532
[36m(train_xgb_ray_tune pid=1476169)[0m [142]	train-mlogloss:0.75092	validation-mlogloss:0.71350
[36m(train_xgb_ray_tune pid=1476159)[0m [166]	train-mlogloss:0.99271	validation-mlogloss:0.97270
[36m(train_xgb_ray_tune pid=1476159)[0m [167]	train-mlogloss:0.99133	validation-mlogloss:0.97126
[36m(train_xgb_ray_tune pid=1476157)[0m [150]	train-mlogloss:0.73103	validation-mlogloss:0.68646
[36m(train_xgb_ray_tune pid=1476157)[0m [151]	train-mlogloss:0.72959	validation-mlogloss:0.68488
[36m(train_xgb_ray_tune pid=1476142)[0m [232]	train-mlogloss:0.81266	validation-mlogloss:0.77836
[36m(train_xgb_ray_tune pid=1476142)[0m [233]	train-mlogloss:0.81197	validation-mlogloss:0.77754
[36m(train_xgb_ray_tune pid=1476160)[0m [128]	train-mlogloss:0.87116	validation-mlogloss:0.84272
[36m(train_xgb_ray_tune pid=1476160)[0m [129]	train-mlogloss:0.86932	validation-mlogloss:0.84064
[36m(train_xgb_ray_tune pid=1476162)[0m [224]	train-mlogloss:0.75863	validation-mlogloss:0.71401
[36m(train_xgb_ray_tune pid=1476163)[0m [180]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [181]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [157]	train-mlogloss:1.18107	validation-mlogloss:1.16950
[36m(train_xgb_ray_tune pid=1476144)[0m [186]	train-mlogloss:0.79078	validation-mlogloss:0.75103
[36m(train_xgb_ray_tune pid=1476144)[0m [187]	train-mlogloss:0.78963	validation-mlogloss:0.74968
[36m(train_xgb_ray_tune pid=1476156)[0m [232]	train-mlogloss:1.08390	validation-mlogloss:1.06850
[36m(train_xgb_ray_tune pid=1476156)[0m [233]	train-mlogloss:1.08320	validation-mlogloss:1.06773
[36m(train_xgb_ray_tune pid=1476143)[0m [137]	train-mlogloss:0.82569	validation-mlogloss:0.80007
[36m(train_xgb_ray_tune pid=1476143)[0m [138]	train-mlogloss:0.82365	validation-mlogloss:0.79787
[36m(train_xgb_ray_tune pid=1476150)[0m [173]	train-mlogloss:0.72657	validation-mlogloss:0.68074
[36m(train_xgb_ray_tune pid=1476150)[0m [174]	train-mlogloss:0.72577	validation-mlogloss:0.67981
[36m(train_xgb_ray_tune pid=1476164)[0m [173]	train-mlogloss:0.73991	validation-mlogloss:0.69695
[36m(train_xgb_ray_tune pid=1476164)[0m [174]	train-mlogloss:0.73933	validation-mlogloss:0.69632
[36m(train_xgb_ray_tune pid=1476165)[0m [226]	train-mlogloss:0.87298	validation-mlogloss:0.84566
[36m(train_xgb_ray_tune pid=1476158)[0m [198]	train-mlogloss:1.33442	validation-mlogloss:1.33064
[36m(train_xgb_ray_tune pid=1476158)[0m [199]	train-mlogloss:1.33421	validation-mlogloss:1.33042
[36m(train_xgb_ray_tune pid=1476170)[0m [135]	train-mlogloss:0.84078	validation-mlogloss:0.80855
[36m(train_xgb_ray_tune pid=1476168)[0m [219]	train-mlogloss:0.94528	validation-mlogloss:0.92216
[36m(train_xgb_ray_tune pid=1476168)[0m [220]	train-mlogloss:0.94463	validation-mlogloss:0.92145
[36m(train_xgb_ray_tune pid=1476166)[0m [199]	train-mlogloss:0.68697	validation-mlogloss:0.64136
[36m(train_xgb_ray_tune pid=1476166)[0m [200]	train-mlogloss:0.68646	validation-mlogloss:0.64080
[36m(train_xgb_ray_tune pid=1476167)[0m [159]	train-mlogloss:0.83627	validation-mlogloss:0.80352
[36m(train_xgb_ray_tune pid=1476167)[0m [160]	train-mlogloss:0.83479	validation-mlogloss:0.80198
[36m(train_xgb_ray_tune pid=1476169)[0m [143]	train-mlogloss:0.74933	validation-mlogloss:0.71159
[36m(train_xgb_ray_tune pid=1476159)[0m [168]	train-mlogloss:0.98996	validation-mlogloss:0.96975
[36m(train_xgb_ray_tune pid=1476157)[0m [152]	train-mlogloss:0.72843	validation-mlogloss:0.68349
[36m(train_xgb_ray_tune pid=1476142)[0m [234]	train-mlogloss:0.81146	validation-mlogloss:0.77700
[36m(train_xgb_ray_tune pid=1476142)[0m [235]	train-mlogloss:0.81098	validation-mlogloss:0.77644
[36m(train_xgb_ray_tune pid=1476160)[0m [130]	train-mlogloss:0.86760	validation-mlogloss:0.83873
[36m(train_xgb_ray_tune pid=1476162)[0m [225]	train-mlogloss:0.75765	validation-mlogloss:0.71286
[36m(train_xgb_ray_tune pid=1476163)[0m [182]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [183]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [184]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [158]	train-mlogloss:1.18020	validation-mlogloss:1.16858
[36m(train_xgb_ray_tune pid=1476171)[0m [159]	train-mlogloss:1.17929	validation-mlogloss:1.16760
[36m(train_xgb_ray_tune pid=1476144)[0m [188]	train-mlogloss:0.78851	validation-mlogloss:0.74848
[36m(train_xgb_ray_tune pid=1476144)[0m [189]	train-mlogloss:0.78747	validation-mlogloss:0.74732
[36m(train_xgb_ray_tune pid=1476156)[0m [234]	train-mlogloss:1.08252	validation-mlogloss:1.06705
[36m(train_xgb_ray_tune pid=1476156)[0m [235]	train-mlogloss:1.08196	validation-mlogloss:1.06649
[36m(train_xgb_ray_tune pid=1476143)[0m [139]	train-mlogloss:0.82183	validation-mlogloss:0.79598
[36m(train_xgb_ray_tune pid=1476150)[0m [175]	train-mlogloss:0.72459	validation-mlogloss:0.67852
[36m(train_xgb_ray_tune pid=1476164)[0m [175]	train-mlogloss:0.73838	validation-mlogloss:0.69519
[36m(train_xgb_ray_tune pid=1476164)[0m [176]	train-mlogloss:0.73750	validation-mlogloss:0.69418
[36m(train_xgb_ray_tune pid=1476164)[0m [177]	train-mlogloss:0.73667	validation-mlogloss:0.69315
[36m(train_xgb_ray_tune pid=1476165)[0m [227]	train-mlogloss:0.87187	validation-mlogloss:0.84456
[36m(train_xgb_ray_tune pid=1476165)[0m [228]	train-mlogloss:0.87084	validation-mlogloss:0.84341
[36m(train_xgb_ray_tune pid=1476158)[0m [200]	train-mlogloss:1.33398	validation-mlogloss:1.33018
[36m(train_xgb_ray_tune pid=1476158)[0m [201]	train-mlogloss:1.33377	validation-mlogloss:1.32995
[36m(train_xgb_ray_tune pid=1476170)[0m [136]	train-mlogloss:0.83908	validation-mlogloss:0.80669
[36m(train_xgb_ray_tune pid=1476168)[0m [221]	train-mlogloss:0.94397	validation-mlogloss:0.92076
[36m(train_xgb_ray_tune pid=1476168)[0m [222]	train-mlogloss:0.94357	validation-mlogloss:0.92033
[36m(train_xgb_ray_tune pid=1476166)[0m [201]	train-mlogloss:0.68605	validation-mlogloss:0.64029
[36m(train_xgb_ray_tune pid=1476166)[0m [202]	train-mlogloss:0.68573	validation-mlogloss:0.63985
[36m(train_xgb_ray_tune pid=1476167)[0m [161]	train-mlogloss:0.83335	validation-mlogloss:0.80038
[36m(train_xgb_ray_tune pid=1476167)[0m [162]	train-mlogloss:0.83198	validation-mlogloss:0.79888
[36m(train_xgb_ray_tune pid=1476169)[0m [144]	train-mlogloss:0.74771	validation-mlogloss:0.70974
[36m(train_xgb_ray_tune pid=1476169)[0m [145]	train-mlogloss:0.74635	validation-mlogloss:0.70827
[36m(train_xgb_ray_tune pid=1476159)[0m [169]	train-mlogloss:0.98851	validation-mlogloss:0.96821
[36m(train_xgb_ray_tune pid=1476159)[0m [170]	train-mlogloss:0.98718	validation-mlogloss:0.96684
[36m(train_xgb_ray_tune pid=1476157)[0m [153]	train-mlogloss:0.72701	validation-mlogloss:0.68199
[36m(train_xgb_ray_tune pid=1476157)[0m [154]	train-mlogloss:0.72545	validation-mlogloss:0.68026
[36m(train_xgb_ray_tune pid=1476142)[0m [236]	train-mlogloss:0.81049	validation-mlogloss:0.77589
[36m(train_xgb_ray_tune pid=1476142)[0m [237]	train-mlogloss:0.81001	validation-mlogloss:0.77538
[36m(train_xgb_ray_tune pid=1476160)[0m [131]	train-mlogloss:0.86582	validation-mlogloss:0.83679
[36m(train_xgb_ray_tune pid=1476160)[0m [132]	train-mlogloss:0.86389	validation-mlogloss:0.83473
[36m(train_xgb_ray_tune pid=1476162)[0m [226]	train-mlogloss:0.75672	validation-mlogloss:0.71171
[36m(train_xgb_ray_tune pid=1476162)[0m [227]	train-mlogloss:0.75577	validation-mlogloss:0.71065
[36m(train_xgb_ray_tune pid=1476163)[0m [185]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [186]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [187]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [160]	train-mlogloss:1.17844	validation-mlogloss:1.16668
[36m(train_xgb_ray_tune pid=1476171)[0m [161]	train-mlogloss:1.17761	validation-mlogloss:1.16580
[36m(train_xgb_ray_tune pid=1476144)[0m [190]	train-mlogloss:0.78635	validation-mlogloss:0.74604
[36m(train_xgb_ray_tune pid=1476144)[0m [191]	train-mlogloss:0.78521	validation-mlogloss:0.74474
[36m(train_xgb_ray_tune pid=1476156)[0m [236]	train-mlogloss:1.08140	validation-mlogloss:1.06590
[36m(train_xgb_ray_tune pid=1476156)[0m [237]	train-mlogloss:1.08073	validation-mlogloss:1.06517
[36m(train_xgb_ray_tune pid=1476143)[0m [140]	train-mlogloss:0.82004	validation-mlogloss:0.79403
[36m(train_xgb_ray_tune pid=1476150)[0m [176]	train-mlogloss:0.72353	validation-mlogloss:0.67730
[36m(train_xgb_ray_tune pid=1476150)[0m [177]	train-mlogloss:0.72238	validation-mlogloss:0.67596
[36m(train_xgb_ray_tune pid=1476164)[0m [178]	train-mlogloss:0.73580	validation-mlogloss:0.69211
[36m(train_xgb_ray_tune pid=1476164)[0m [179]	train-mlogloss:0.73514	validation-mlogloss:0.69138
[36m(train_xgb_ray_tune pid=1476165)[0m [229]	train-mlogloss:0.86974	validation-mlogloss:0.84219
[36m(train_xgb_ray_tune pid=1476165)[0m [230]	train-mlogloss:0.86867	validation-mlogloss:0.84097
[36m(train_xgb_ray_tune pid=1476158)[0m [202]	train-mlogloss:1.33357	validation-mlogloss:1.32974
[36m(train_xgb_ray_tune pid=1476158)[0m [203]	train-mlogloss:1.33335	validation-mlogloss:1.32952
[36m(train_xgb_ray_tune pid=1476170)[0m [137]	train-mlogloss:0.83749	validation-mlogloss:0.80486
[36m(train_xgb_ray_tune pid=1476168)[0m [223]	train-mlogloss:0.94301	validation-mlogloss:0.91974
[36m(train_xgb_ray_tune pid=1476166)[0m [203]	train-mlogloss:0.68511	validation-mlogloss:0.63924
[36m(train_xgb_ray_tune pid=1476166)[0m [204]	train-mlogloss:0.68468	validation-mlogloss:0.63874
[36m(train_xgb_ray_tune pid=1476167)[0m [163]	train-mlogloss:0.83067	validation-mlogloss:0.79749
[36m(train_xgb_ray_tune pid=1476167)[0m [164]	train-mlogloss:0.82931	validation-mlogloss:0.79595
[36m(train_xgb_ray_tune pid=1476169)[0m [146]	train-mlogloss:0.74486	validation-mlogloss:0.70656
[36m(train_xgb_ray_tune pid=1476169)[0m [147]	train-mlogloss:0.74336	validation-mlogloss:0.70483
[36m(train_xgb_ray_tune pid=1476159)[0m [171]	train-mlogloss:0.98578	validation-mlogloss:0.96537
[36m(train_xgb_ray_tune pid=1476157)[0m [155]	train-mlogloss:0.72409	validation-mlogloss:0.67873
[36m(train_xgb_ray_tune pid=1476142)[0m [238]	train-mlogloss:0.80961	validation-mlogloss:0.77496
[36m(train_xgb_ray_tune pid=1476160)[0m [133]	train-mlogloss:0.86210	validation-mlogloss:0.83274
[36m(train_xgb_ray_tune pid=1476162)[0m [228]	train-mlogloss:0.75486	validation-mlogloss:0.70963
[36m(train_xgb_ray_tune pid=1476163)[0m [188]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [189]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [162]	train-mlogloss:1.17671	validation-mlogloss:1.16486
[36m(train_xgb_ray_tune pid=1476144)[0m [192]	train-mlogloss:0.78418	validation-mlogloss:0.74348
[36m(train_xgb_ray_tune pid=1476156)[0m [238]	train-mlogloss:1.08005	validation-mlogloss:1.06447
[36m(train_xgb_ray_tune pid=1476156)[0m [239]	train-mlogloss:1.07948	validation-mlogloss:1.06389
[36m(train_xgb_ray_tune pid=1476143)[0m [141]	train-mlogloss:0.81813	validation-mlogloss:0.79188
[36m(train_xgb_ray_tune pid=1476150)[0m [178]	train-mlogloss:0.72133	validation-mlogloss:0.67472
[36m(train_xgb_ray_tune pid=1476164)[0m [180]	train-mlogloss:0.73460	validation-mlogloss:0.69082
[36m(train_xgb_ray_tune pid=1476165)[0m [231]	train-mlogloss:0.86759	validation-mlogloss:0.83983
[36m(train_xgb_ray_tune pid=1476165)[0m [232]	train-mlogloss:0.86654	validation-mlogloss:0.83872
[36m(train_xgb_ray_tune pid=1476158)[0m [204]	train-mlogloss:1.33314	validation-mlogloss:1.32929
[36m(train_xgb_ray_tune pid=1476170)[0m [138]	train-mlogloss:0.83587	validation-mlogloss:0.80301
[36m(train_xgb_ray_tune pid=1476168)[0m [224]	train-mlogloss:0.94241	validation-mlogloss:0.91907
[36m(train_xgb_ray_tune pid=1476168)[0m [225]	train-mlogloss:0.94177	validation-mlogloss:0.91841
[36m(train_xgb_ray_tune pid=1476166)[0m [205]	train-mlogloss:0.68423	validation-mlogloss:0.63826
[36m(train_xgb_ray_tune pid=1476167)[0m [165]	train-mlogloss:0.82794	validation-mlogloss:0.79441
[36m(train_xgb_ray_tune pid=1476167)[0m [166]	train-mlogloss:0.82654	validation-mlogloss:0.79288
[36m(train_xgb_ray_tune pid=1476169)[0m [148]	train-mlogloss:0.74192	validation-mlogloss:0.70330
[36m(train_xgb_ray_tune pid=1476159)[0m [172]	train-mlogloss:0.98434	validation-mlogloss:0.96390
[36m(train_xgb_ray_tune pid=1476159)[0m [173]	train-mlogloss:0.98296	validation-mlogloss:0.96242
[36m(train_xgb_ray_tune pid=1476157)[0m [156]	train-mlogloss:0.72301	validation-mlogloss:0.67732
[36m(train_xgb_ray_tune pid=1476142)[0m [239]	train-mlogloss:0.80912	validation-mlogloss:0.77446
[36m(train_xgb_ray_tune pid=1476160)[0m [134]	train-mlogloss:0.86030	validation-mlogloss:0.83079
[36m(train_xgb_ray_tune pid=1476160)[0m [135]	train-mlogloss:0.85858	validation-mlogloss:0.82895
[36m(train_xgb_ray_tune pid=1476162)[0m [229]	train-mlogloss:0.75397	validation-mlogloss:0.70862
[36m(train_xgb_ray_tune pid=1476163)[0m [190]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [163]	train-mlogloss:1.17579	validation-mlogloss:1.16386
[36m(train_xgb_ray_tune pid=1476171)[0m [164]	train-mlogloss:1.17493	validation-mlogloss:1.16297
[36m(train_xgb_ray_tune pid=1476144)[0m [193]	train-mlogloss:0.78311	validation-mlogloss:0.74220
[36m(train_xgb_ray_tune pid=1476144)[0m [194]	train-mlogloss:0.78208	validation-mlogloss:0.74099
[36m(train_xgb_ray_tune pid=1476156)[0m [240]	train-mlogloss:1.07903	validation-mlogloss:1.06341
[36m(train_xgb_ray_tune pid=1476156)[0m [241]	train-mlogloss:1.07836	validation-mlogloss:1.06271
[36m(train_xgb_ray_tune pid=1476143)[0m [142]	train-mlogloss:0.81612	validation-mlogloss:0.78968
[36m(train_xgb_ray_tune pid=1476150)[0m [179]	train-mlogloss:0.72020	validation-mlogloss:0.67348
[36m(train_xgb_ray_tune pid=1476164)[0m [181]	train-mlogloss:0.73407	validation-mlogloss:0.69021
[36m(train_xgb_ray_tune pid=1476164)[0m [182]	train-mlogloss:0.73328	validation-mlogloss:0.68928
[36m(train_xgb_ray_tune pid=1476165)[0m [233]	train-mlogloss:0.86550	validation-mlogloss:0.83761
[36m(train_xgb_ray_tune pid=1476158)[0m [205]	train-mlogloss:1.33290	validation-mlogloss:1.32903
[36m(train_xgb_ray_tune pid=1476170)[0m [139]	train-mlogloss:0.83429	validation-mlogloss:0.80132
[36m(train_xgb_ray_tune pid=1476168)[0m [226]	train-mlogloss:0.94124	validation-mlogloss:0.91786
[36m(train_xgb_ray_tune pid=1476167)[0m [167]	train-mlogloss:0.82524	validation-mlogloss:0.79155
[36m(train_xgb_ray_tune pid=1476169)[0m [149]	train-mlogloss:0.74049	validation-mlogloss:0.70155
[36m(train_xgb_ray_tune pid=1476159)[0m [174]	train-mlogloss:0.98159	validation-mlogloss:0.96092
[36m(train_xgb_ray_tune pid=1476157)[0m [157]	train-mlogloss:0.72161	validation-mlogloss:0.67577
[36m(train_xgb_ray_tune pid=1476160)[0m [136]	train-mlogloss:0.85699	validation-mlogloss:0.82727
[36m(train_xgb_ray_tune pid=1476163)[0m [191]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476163)[0m [192]	train-mlogloss:1.20035	validation-mlogloss:1.18748
[36m(train_xgb_ray_tune pid=1476171)[0m [165]	train-mlogloss:1.17408	validation-mlogloss:1.16209
[36m(train_xgb_ray_tune pid=1476144)[0m [195]	train-mlogloss:0.78091	validation-mlogloss:0.73965
[36m(train_xgb_ray_tune pid=1476156)[0m [242]	train-mlogloss:1.07790	validation-mlogloss:1.06221
[36m(train_xgb_ray_tune pid=1476143)[0m [143]	train-mlogloss:0.81423	validation-mlogloss:0.78764
[36m(train_xgb_ray_tune pid=1476150)[0m [180]	train-mlogloss:0.71895	validation-mlogloss:0.67199
[36m(train_xgb_ray_tune pid=1476164)[0m [183]	train-mlogloss:0.73283	validation-mlogloss:0.68877
[36m(train_xgb_ray_tune pid=1476165)[0m [234]	train-mlogloss:0.86445	validation-mlogloss:0.83646
[36m(train_xgb_ray_tune pid=1476158)[0m [206]	train-mlogloss:1.33276	validation-mlogloss:1.32887
[36m(train_xgb_ray_tune pid=1476170)[0m [140]	train-mlogloss:0.83270	validation-mlogloss:0.79961
[36m(train_xgb_ray_tune pid=1476167)[0m [168]	train-mlogloss:0.82387	validation-mlogloss:0.79015
[36m(train_xgb_ray_tune pid=1476160)[0m [137]	train-mlogloss:0.85522	validation-mlogloss:0.82539
[36m(train_xgb_ray_tune pid=1476162)[0m [230]	train-mlogloss:0.75289	validation-mlogloss:0.70742
[36m(train_xgb_ray_tune pid=1476171)[0m [166]	train-mlogloss:1.17321	validation-mlogloss:1.16118
[36m(train_xgb_ray_tune pid=1476156)[0m [243]	train-mlogloss:1.07725	validation-mlogloss:1.06153
[36m(train_xgb_ray_tune pid=1476164)[0m [184]	train-mlogloss:0.73212	validation-mlogloss:0.68787
[36m(train_xgb_ray_tune pid=1476158)[0m [207]	train-mlogloss:1.33258	validation-mlogloss:1.32868
[36m(train_xgb_ray_tune pid=1476168)[0m [227]	train-mlogloss:0.94061	validation-mlogloss:0.91717
[36m(train_xgb_ray_tune pid=1476169)[0m [150]	train-mlogloss:0.73888	validation-mlogloss:0.69979
[36m(train_xgb_ray_tune pid=1476159)[0m [175]	train-mlogloss:0.98030	validation-mlogloss:0.95953
[36m(train_xgb_ray_tune pid=1476157)[0m [158]	train-mlogloss:0.72054	validation-mlogloss:0.67443
[36m(train_xgb_ray_tune pid=1476142)[0m [240]	train-mlogloss:0.80846	validation-mlogloss:0.77374
[36m(train_xgb_ray_tune pid=1476160)[0m [138]	train-mlogloss:0.85350	validation-mlogloss:0.82361
[36m(train_xgb_ray_tune pid=1476171)[0m [167]	train-mlogloss:1.17235	validation-mlogloss:1.16030
[36m(train_xgb_ray_tune pid=1476144)[0m [196]	train-mlogloss:0.77981	validation-mlogloss:0.73845
[36m(train_xgb_ray_tune pid=1476156)[0m [244]	train-mlogloss:1.07659	validation-mlogloss:1.06086
[36m(train_xgb_ray_tune pid=1476156)[0m [245]	train-mlogloss:1.07627	validation-mlogloss:1.06049
[36m(train_xgb_ray_tune pid=1476143)[0m [144]	train-mlogloss:0.81245	validation-mlogloss:0.78578
[36m(train_xgb_ray_tune pid=1476150)[0m [181]	train-mlogloss:0.71819	validation-mlogloss:0.67109
[36m(train_xgb_ray_tune pid=1476164)[0m [185]	train-mlogloss:0.73136	validation-mlogloss:0.68697
[36m(train_xgb_ray_tune pid=1476165)[0m [235]	train-mlogloss:0.86343	validation-mlogloss:0.83535
[36m(train_xgb_ray_tune pid=1476165)[0m [236]	train-mlogloss:0.86241	validation-mlogloss:0.83429
[36m(train_xgb_ray_tune pid=1476158)[0m [208]	train-mlogloss:1.33236	validation-mlogloss:1.32845
[36m(train_xgb_ray_tune pid=1476170)[0m [141]	train-mlogloss:0.83115	validation-mlogloss:0.79789
[36m(train_xgb_ray_tune pid=1476168)[0m [228]	train-mlogloss:0.94024	validation-mlogloss:0.91677
[36m(train_xgb_ray_tune pid=1476166)[0m [206]	train-mlogloss:0.68373	validation-mlogloss:0.63769
[36m(train_xgb_ray_tune pid=1476167)[0m [169]	train-mlogloss:0.82250	validation-mlogloss:0.78871
[36m(train_xgb_ray_tune pid=1476169)[0m [151]	train-mlogloss:0.73750	validation-mlogloss:0.69818
[36m(train_xgb_ray_tune pid=1476159)[0m [176]	train-mlogloss:0.97900	validation-mlogloss:0.95814
[36m(train_xgb_ray_tune pid=1476157)[0m [159]	train-mlogloss:0.71937	validation-mlogloss:0.67306
[36m(train_xgb_ray_tune pid=1476142)[0m [241]	train-mlogloss:0.80800	validation-mlogloss:0.77322
[36m(train_xgb_ray_tune pid=1476160)[0m [139]	train-mlogloss:0.85184	validation-mlogloss:0.82172
[36m(train_xgb_ray_tune pid=1476162)[0m [231]	train-mlogloss:0.75191	validation-mlogloss:0.70633
[36m(train_xgb_ray_tune pid=1476171)[0m [168]	train-mlogloss:1.17151	validation-mlogloss:1.15941
[36m(train_xgb_ray_tune pid=1476144)[0m [197]	train-mlogloss:0.77876	validation-mlogloss:0.73722
[36m(train_xgb_ray_tune pid=1476144)[0m [198]	train-mlogloss:0.77777	validation-mlogloss:0.73609
[36m(train_xgb_ray_tune pid=1476156)[0m [246]	train-mlogloss:1.07571	validation-mlogloss:1.05988
[36m(train_xgb_ray_tune pid=1476156)[0m [247]	train-mlogloss:1.07540	validation-mlogloss:1.05955
[36m(train_xgb_ray_tune pid=1476143)[0m [145]	train-mlogloss:0.81063	validation-mlogloss:0.78379
[36m(train_xgb_ray_tune pid=1476143)[0m [146]	train-mlogloss:0.80882	validation-mlogloss:0.78188
[36m(train_xgb_ray_tune pid=1476150)[0m [182]	train-mlogloss:0.71716	validation-mlogloss:0.66998
[36m(train_xgb_ray_tune pid=1476150)[0m [183]	train-mlogloss:0.71610	validation-mlogloss:0.66871
[36m(train_xgb_ray_tune pid=1476150)[0m [184]	train-mlogloss:0.71511	validation-mlogloss:0.66761
[36m(train_xgb_ray_tune pid=1476164)[0m [186]	train-mlogloss:0.73094	validation-mlogloss:0.68656
[36m(train_xgb_ray_tune pid=1476164)[0m [187]	train-mlogloss:0.73021	validation-mlogloss:0.68575
[36m(train_xgb_ray_tune pid=1476164)[0m [188]	train-mlogloss:0.72956	validation-mlogloss:0.68507
[36m(train_xgb_ray_tune pid=1476165)[0m [237]	train-mlogloss:0.86137	validation-mlogloss:0.83320
[36m(train_xgb_ray_tune pid=1476165)[0m [238]	train-mlogloss:0.86037	validation-mlogloss:0.83209
[36m(train_xgb_ray_tune pid=1476158)[0m [209]	train-mlogloss:1.33223	validation-mlogloss:1.32830
[36m(train_xgb_ray_tune pid=1476158)[0m [210]	train-mlogloss:1.33198	validation-mlogloss:1.32804
[36m(train_xgb_ray_tune pid=1476158)[0m [211]	train-mlogloss:1.33184	validation-mlogloss:1.32788
[36m(train_xgb_ray_tune pid=1476170)[0m [142]	train-mlogloss:0.82968	validation-mlogloss:0.79625
[36m(train_xgb_ray_tune pid=1476170)[0m [143]	train-mlogloss:0.82821	validation-mlogloss:0.79465
[36m(train_xgb_ray_tune pid=1476170)[0m [144]	train-mlogloss:0.82673	validation-mlogloss:0.79305
[36m(train_xgb_ray_tune pid=1476168)[0m [229]	train-mlogloss:0.93965	validation-mlogloss:0.91615
[36m(train_xgb_ray_tune pid=1476168)[0m [230]	train-mlogloss:0.93902	validation-mlogloss:0.91547
[36m(train_xgb_ray_tune pid=1476166)[0m [207]	train-mlogloss:0.68319	validation-mlogloss:0.63699
[36m(train_xgb_ray_tune pid=1476166)[0m [208]	train-mlogloss:0.68278	validation-mlogloss:0.63644
[36m(train_xgb_ray_tune pid=1476166)[0m [209]	train-mlogloss:0.68247	validation-mlogloss:0.63601
[36m(train_xgb_ray_tune pid=1476167)[0m [170]	train-mlogloss:0.82119	validation-mlogloss:0.78735
[36m(train_xgb_ray_tune pid=1476167)[0m [171]	train-mlogloss:0.81985	validation-mlogloss:0.78585
[36m(train_xgb_ray_tune pid=1476167)[0m [172]	train-mlogloss:0.81860	validation-mlogloss:0.78447
[36m(train_xgb_ray_tune pid=1476169)[0m [152]	train-mlogloss:0.73617	validation-mlogloss:0.69671
[36m(train_xgb_ray_tune pid=1476169)[0m [153]	train-mlogloss:0.73468	validation-mlogloss:0.69504
[36m(train_xgb_ray_tune pid=1476159)[0m [177]	train-mlogloss:0.97768	validation-mlogloss:0.95676
[36m(train_xgb_ray_tune pid=1476159)[0m [178]	train-mlogloss:0.97635	validation-mlogloss:0.95531
[36m(train_xgb_ray_tune pid=1476157)[0m [160]	train-mlogloss:0.71803	validation-mlogloss:0.67157
[36m(train_xgb_ray_tune pid=1476157)[0m [161]	train-mlogloss:0.71680	validation-mlogloss:0.67017
[36m(train_xgb_ray_tune pid=1476142)[0m [242]	train-mlogloss:0.80737	validation-mlogloss:0.77250
[36m(train_xgb_ray_tune pid=1476160)[0m [140]	train-mlogloss:0.85014	validation-mlogloss:0.81989
[36m(train_xgb_ray_tune pid=1476160)[0m [141]	train-mlogloss:0.84846	validation-mlogloss:0.81806
[36m(train_xgb_ray_tune pid=1476162)[0m [232]	train-mlogloss:0.75098	validation-mlogloss:0.70525
[36m(train_xgb_ray_tune pid=1476162)[0m [233]	train-mlogloss:0.75005	validation-mlogloss:0.70410
[36m(train_xgb_ray_tune pid=1476171)[0m [169]	train-mlogloss:1.17078	validation-mlogloss:1.15863
[36m(train_xgb_ray_tune pid=1476171)[0m [170]	train-mlogloss:1.16985	validation-mlogloss:1.15766
[36m(train_xgb_ray_tune pid=1476144)[0m [199]	train-mlogloss:0.77670	validation-mlogloss:0.73493
[36m(train_xgb_ray_tune pid=1476156)[0m [248]	train-mlogloss:1.07497	validation-mlogloss:1.05909
[36m(train_xgb_ray_tune pid=1476156)[0m [249]	train-mlogloss:1.07432	validation-mlogloss:1.05842
[36m(train_xgb_ray_tune pid=1476164)[0m [189]	train-mlogloss:0.72890	validation-mlogloss:0.68434
[36m(train_xgb_ray_tune pid=1476165)[0m [239]	train-mlogloss:0.85932	validation-mlogloss:0.83102
[36m(train_xgb_ray_tune pid=1476158)[0m [212]	train-mlogloss:1.33164	validation-mlogloss:1.32767
[36m(train_xgb_ray_tune pid=1476170)[0m [145]	train-mlogloss:0.82522	validation-mlogloss:0.79140
[36m(train_xgb_ray_tune pid=1476168)[0m [231]	train-mlogloss:0.93865	validation-mlogloss:0.91505
[36m(train_xgb_ray_tune pid=1476168)[0m [232]	train-mlogloss:0.93801	validation-mlogloss:0.91437
[36m(train_xgb_ray_tune pid=1476166)[0m [210]	train-mlogloss:0.68204	validation-mlogloss:0.63544
[36m(train_xgb_ray_tune pid=1476166)[0m [211]	train-mlogloss:0.68151	validation-mlogloss:0.63477
[36m(train_xgb_ray_tune pid=1476167)[0m [173]	train-mlogloss:0.81739	validation-mlogloss:0.78315
[36m(train_xgb_ray_tune pid=1476169)[0m [154]	train-mlogloss:0.73337	validation-mlogloss:0.69355
[36m(train_xgb_ray_tune pid=1476159)[0m [179]	train-mlogloss:0.97508	validation-mlogloss:0.95393
[36m(train_xgb_ray_tune pid=1476157)[0m [162]	train-mlogloss:0.71543	validation-mlogloss:0.66862
[36m(train_xgb_ray_tune pid=1476142)[0m [243]	train-mlogloss:0.80691	validation-mlogloss:0.77198
[36m(train_xgb_ray_tune pid=1476160)[0m [142]	train-mlogloss:0.84690	validation-mlogloss:0.81634
[36m(train_xgb_ray_tune pid=1476162)[0m [234]	train-mlogloss:0.74917	validation-mlogloss:0.70306
[36m(train_xgb_ray_tune pid=1476171)[0m [171]	train-mlogloss:1.16901	validation-mlogloss:1.15675
[36m(train_xgb_ray_tune pid=1476171)[0m [172]	train-mlogloss:1.16808	validation-mlogloss:1.15579
[36m(train_xgb_ray_tune pid=1476144)[0m [200]	train-mlogloss:0.77573	validation-mlogloss:0.73378
[36m(train_xgb_ray_tune pid=1476144)[0m [201]	train-mlogloss:0.77473	validation-mlogloss:0.73268
[36m(train_xgb_ray_tune pid=1476156)[0m [250]	train-mlogloss:1.07366	validation-mlogloss:1.05771
[36m(train_xgb_ray_tune pid=1476156)[0m [251]	train-mlogloss:1.07324	validation-mlogloss:1.05727
[36m(train_xgb_ray_tune pid=1476156)[0m [252]	train-mlogloss:1.07292	validation-mlogloss:1.05690
[36m(train_xgb_ray_tune pid=1476143)[0m [147]	train-mlogloss:0.80710	validation-mlogloss:0.78000
[36m(train_xgb_ray_tune pid=1476150)[0m [185]	train-mlogloss:0.71418	validation-mlogloss:0.66656
[36m(train_xgb_ray_tune pid=1476150)[0m [186]	train-mlogloss:0.71322	validation-mlogloss:0.66544
[36m(train_xgb_ray_tune pid=1476164)[0m [190]	train-mlogloss:0.72831	validation-mlogloss:0.68368
[36m(train_xgb_ray_tune pid=1476164)[0m [191]	train-mlogloss:0.72780	validation-mlogloss:0.68312
[36m(train_xgb_ray_tune pid=1476165)[0m [240]	train-mlogloss:0.85827	validation-mlogloss:0.82989
[36m(train_xgb_ray_tune pid=1476165)[0m [241]	train-mlogloss:0.85730	validation-mlogloss:0.82884
[36m(train_xgb_ray_tune pid=1476158)[0m [213]	train-mlogloss:1.33141	validation-mlogloss:1.32743
[36m(train_xgb_ray_tune pid=1476158)[0m [214]	train-mlogloss:1.33124	validation-mlogloss:1.32724
[36m(train_xgb_ray_tune pid=1476170)[0m [146]	train-mlogloss:0.82369	validation-mlogloss:0.78977
[36m(train_xgb_ray_tune pid=1476168)[0m [233]	train-mlogloss:0.93743	validation-mlogloss:0.91377
[36m(train_xgb_ray_tune pid=1476166)[0m [212]	train-mlogloss:0.68100	validation-mlogloss:0.63411

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:24. Total running time: 8s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              5.6929 │
│ time_total_s                  5.6929 │
│ training_iteration                 1 │
│ validation_accuracy          0.66063 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:24. Total running time: 8s
[36m(train_xgb_ray_tune pid=1476167)[0m [174]	train-mlogloss:0.81609	validation-mlogloss:0.78174
[36m(train_xgb_ray_tune pid=1476169)[0m [155]	train-mlogloss:0.73195	validation-mlogloss:0.69192
[36m(train_xgb_ray_tune pid=1476169)[0m [156]	train-mlogloss:0.73057	validation-mlogloss:0.69026
[36m(train_xgb_ray_tune pid=1476159)[0m [180]	train-mlogloss:0.97375	validation-mlogloss:0.95254
[36m(train_xgb_ray_tune pid=1476159)[0m [181]	train-mlogloss:0.97243	validation-mlogloss:0.95113
[36m(train_xgb_ray_tune pid=1476157)[0m [163]	train-mlogloss:0.71447	validation-mlogloss:0.66753
[36m(train_xgb_ray_tune pid=1476157)[0m [164]	train-mlogloss:0.71318	validation-mlogloss:0.66600
[36m(train_xgb_ray_tune pid=1476142)[0m [244]	train-mlogloss:0.80653	validation-mlogloss:0.77156
[36m(train_xgb_ray_tune pid=1476160)[0m [143]	train-mlogloss:0.84527	validation-mlogloss:0.81469
[36m(train_xgb_ray_tune pid=1476160)[0m [144]	train-mlogloss:0.84367	validation-mlogloss:0.81297
[36m(train_xgb_ray_tune pid=1476162)[0m [235]	train-mlogloss:0.74833	validation-mlogloss:0.70210
[36m(train_xgb_ray_tune pid=1476171)[0m [173]	train-mlogloss:1.16726	validation-mlogloss:1.15495
[36m(train_xgb_ray_tune pid=1476144)[0m [202]	train-mlogloss:0.77368	validation-mlogloss:0.73157
[36m(train_xgb_ray_tune pid=1476144)[0m [203]	train-mlogloss:0.77274	validation-mlogloss:0.73049
[36m(train_xgb_ray_tune pid=1476156)[0m [253]	train-mlogloss:1.07227	validation-mlogloss:1.05622
[36m(train_xgb_ray_tune pid=1476156)[0m [254]	train-mlogloss:1.07185	validation-mlogloss:1.05574
[36m(train_xgb_ray_tune pid=1476150)[0m [187]	train-mlogloss:0.71216	validation-mlogloss:0.66420
[36m(train_xgb_ray_tune pid=1476150)[0m [188]	train-mlogloss:0.71143	validation-mlogloss:0.66332
[36m(train_xgb_ray_tune pid=1476164)[0m [192]	train-mlogloss:0.72711	validation-mlogloss:0.68237
[36m(train_xgb_ray_tune pid=1476164)[0m [193]	train-mlogloss:0.72662	validation-mlogloss:0.68179
[36m(train_xgb_ray_tune pid=1476165)[0m [242]	train-mlogloss:0.85636	validation-mlogloss:0.82784
[36m(train_xgb_ray_tune pid=1476158)[0m [215]	train-mlogloss:1.33102	validation-mlogloss:1.32700
[36m(train_xgb_ray_tune pid=1476158)[0m [216]	train-mlogloss:1.33084	validation-mlogloss:1.32681
[36m(train_xgb_ray_tune pid=1476170)[0m [147]	train-mlogloss:0.82214	validation-mlogloss:0.78808
[36m(train_xgb_ray_tune pid=1476168)[0m [234]	train-mlogloss:0.93693	validation-mlogloss:0.91321
[36m(train_xgb_ray_tune pid=1476168)[0m [235]	train-mlogloss:0.93666	validation-mlogloss:0.91289
[36m(train_xgb_ray_tune pid=1476166)[0m [213]	train-mlogloss:0.68048	validation-mlogloss:0.63345
[36m(train_xgb_ray_tune pid=1476166)[0m [214]	train-mlogloss:0.68030	validation-mlogloss:0.63327
[36m(train_xgb_ray_tune pid=1476167)[0m [175]	train-mlogloss:0.81485	validation-mlogloss:0.78039
[36m(train_xgb_ray_tune pid=1476167)[0m [176]	train-mlogloss:0.81365	validation-mlogloss:0.77906
[36m(train_xgb_ray_tune pid=1476169)[0m [157]	train-mlogloss:0.72916	validation-mlogloss:0.68869
[36m(train_xgb_ray_tune pid=1476159)[0m [182]	train-mlogloss:0.97116	validation-mlogloss:0.94982
[36m(train_xgb_ray_tune pid=1476142)[0m [245]	train-mlogloss:0.80589	validation-mlogloss:0.77085
[36m(train_xgb_ray_tune pid=1476142)[0m [246]	train-mlogloss:0.80545	validation-mlogloss:0.77038
[36m(train_xgb_ray_tune pid=1476160)[0m [145]	train-mlogloss:0.84212	validation-mlogloss:0.81126
[36m(train_xgb_ray_tune pid=1476162)[0m [236]	train-mlogloss:0.74766	validation-mlogloss:0.70138
[36m(train_xgb_ray_tune pid=1476171)[0m [174]	train-mlogloss:1.16635	validation-mlogloss:1.15400
[36m(train_xgb_ray_tune pid=1476144)[0m [204]	train-mlogloss:0.77182	validation-mlogloss:0.72952
[36m(train_xgb_ray_tune pid=1476156)[0m [255]	train-mlogloss:1.07144	validation-mlogloss:1.05528
[36m(train_xgb_ray_tune pid=1476143)[0m [148]	train-mlogloss:0.80530	validation-mlogloss:0.77804
[36m(train_xgb_ray_tune pid=1476143)[0m [149]	train-mlogloss:0.80361	validation-mlogloss:0.77621
[36m(train_xgb_ray_tune pid=1476150)[0m [189]	train-mlogloss:0.71046	validation-mlogloss:0.66209
[36m(train_xgb_ray_tune pid=1476164)[0m [194]	train-mlogloss:0.72615	validation-mlogloss:0.68131
[36m(train_xgb_ray_tune pid=1476164)[0m [195]	train-mlogloss:0.72553	validation-mlogloss:0.68065
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[36m(train_xgb_ray_tune pid=1476158)[0m [248]	train-mlogloss:1.32486	validation-mlogloss:1.32040
[36m(train_xgb_ray_tune pid=1476168)[0m [266]	train-mlogloss:0.92319	validation-mlogloss:0.89859
[36m(train_xgb_ray_tune pid=1476166)[0m [240]	train-mlogloss:0.67168	validation-mlogloss:0.62373
[36m(train_xgb_ray_tune pid=1476167)[0m [206]	train-mlogloss:0.78127	validation-mlogloss:0.74324
[36m(train_xgb_ray_tune pid=1476169)[0m [183]	train-mlogloss:0.70034	validation-mlogloss:0.65593
[36m(train_xgb_ray_tune pid=1476157)[0m [185]	train-mlogloss:0.69209	validation-mlogloss:0.64071
[36m(train_xgb_ray_tune pid=1476142)[0m [274]	train-mlogloss:0.79233	validation-mlogloss:0.75564
[36m(train_xgb_ray_tune pid=1476160)[0m [180]	train-mlogloss:0.79516	validation-mlogloss:0.76011
[36m(train_xgb_ray_tune pid=1476162)[0m [263]	train-mlogloss:0.72779	validation-mlogloss:0.67847
[36m(train_xgb_ray_tune pid=1476171)[0m [205]	train-mlogloss:1.14254	validation-mlogloss:1.12893
[36m(train_xgb_ray_tune pid=1476156)[0m [291]	train-mlogloss:1.05854	validation-mlogloss:1.04141
[36m(train_xgb_ray_tune pid=1476150)[0m [218]	train-mlogloss:0.68859	validation-mlogloss:0.63654
[36m(train_xgb_ray_tune pid=1476164)[0m [228]	train-mlogloss:0.70905	validation-mlogloss:0.66167
[36m(train_xgb_ray_tune pid=1476158)[0m [249]	train-mlogloss:1.32467	validation-mlogloss:1.32020
[36m(train_xgb_ray_tune pid=1476170)[0m [174]	train-mlogloss:0.78777	validation-mlogloss:0.74990
[36m(train_xgb_ray_tune pid=1476168)[0m [267]	train-mlogloss:0.92270	validation-mlogloss:0.89807
[36m(train_xgb_ray_tune pid=1476166)[0m [241]	train-mlogloss:0.67132	validation-mlogloss:0.62333
[36m(train_xgb_ray_tune pid=1476167)[0m [207]	train-mlogloss:0.78013	validation-mlogloss:0.74194
[36m(train_xgb_ray_tune pid=1476169)[0m [184]	train-mlogloss:0.69925	validation-mlogloss:0.65470
[36m(train_xgb_ray_tune pid=1476157)[0m [186]	train-mlogloss:0.69108	validation-mlogloss:0.63957
[36m(train_xgb_ray_tune pid=1476142)[0m [275]	train-mlogloss:0.79206	validation-mlogloss:0.75531
[36m(train_xgb_ray_tune pid=1476160)[0m [181]	train-mlogloss:0.79408	validation-mlogloss:0.75897
[36m(train_xgb_ray_tune pid=1476171)[0m [206]	train-mlogloss:1.14179	validation-mlogloss:1.12812
[36m(train_xgb_ray_tune pid=1476144)[0m [233]	train-mlogloss:0.74638	validation-mlogloss:0.70025
[36m(train_xgb_ray_tune pid=1476156)[0m [292]	train-mlogloss:1.05827	validation-mlogloss:1.04113
[36m(train_xgb_ray_tune pid=1476143)[0m [173]	train-mlogloss:0.76594	validation-mlogloss:0.73517
[36m(train_xgb_ray_tune pid=1476150)[0m [219]	train-mlogloss:0.68809	validation-mlogloss:0.63600
[36m(train_xgb_ray_tune pid=1476164)[0m [229]	train-mlogloss:0.70887	validation-mlogloss:0.66150
[36m(train_xgb_ray_tune pid=1476165)[0m [272]	train-mlogloss:0.82850	validation-mlogloss:0.79795
[36m(train_xgb_ray_tune pid=1476158)[0m [250]	train-mlogloss:1.32446	validation-mlogloss:1.31998
[36m(train_xgb_ray_tune pid=1476170)[0m [175]	train-mlogloss:0.78663	validation-mlogloss:0.74861
[36m(train_xgb_ray_tune pid=1476168)[0m [268]	train-mlogloss:0.92238	validation-mlogloss:0.89769
[36m(train_xgb_ray_tune pid=1476166)[0m [242]	train-mlogloss:0.67117	validation-mlogloss:0.62320
[36m(train_xgb_ray_tune pid=1476167)[0m [208]	train-mlogloss:0.77918	validation-mlogloss:0.74085
[36m(train_xgb_ray_tune pid=1476169)[0m [185]	train-mlogloss:0.69826	validation-mlogloss:0.65354
[36m(train_xgb_ray_tune pid=1476160)[0m [182]	train-mlogloss:0.79309	validation-mlogloss:0.75799
[36m(train_xgb_ray_tune pid=1476162)[0m [264]	train-mlogloss:0.72717	validation-mlogloss:0.67779
[36m(train_xgb_ray_tune pid=1476171)[0m [207]	train-mlogloss:1.14120	validation-mlogloss:1.12751
[36m(train_xgb_ray_tune pid=1476144)[0m [234]	train-mlogloss:0.74559	validation-mlogloss:0.69943
[36m(train_xgb_ray_tune pid=1476156)[0m [293]	train-mlogloss:1.05801	validation-mlogloss:1.04082
[36m(train_xgb_ray_tune pid=1476143)[0m [174]	train-mlogloss:0.76459	validation-mlogloss:0.73373
[36m(train_xgb_ray_tune pid=1476150)[0m [220]	train-mlogloss:0.68761	validation-mlogloss:0.63538
[36m(train_xgb_ray_tune pid=1476164)[0m [230]	train-mlogloss:0.70831	validation-mlogloss:0.66082
[36m(train_xgb_ray_tune pid=1476165)[0m [273]	train-mlogloss:0.82767	validation-mlogloss:0.79700
[36m(train_xgb_ray_tune pid=1476158)[0m [251]	train-mlogloss:1.32424	validation-mlogloss:1.31975
[36m(train_xgb_ray_tune pid=1476170)[0m [176]	train-mlogloss:0.78555	validation-mlogloss:0.74740
[36m(train_xgb_ray_tune pid=1476168)[0m [269]	train-mlogloss:0.92205	validation-mlogloss:0.89732
[36m(train_xgb_ray_tune pid=1476166)[0m [243]	train-mlogloss:0.67093	validation-mlogloss:0.62290
[36m(train_xgb_ray_tune pid=1476167)[0m [209]	train-mlogloss:0.77827	validation-mlogloss:0.73992
[36m(train_xgb_ray_tune pid=1476169)[0m [186]	train-mlogloss:0.69727	validation-mlogloss:0.65237
[36m(train_xgb_ray_tune pid=1476157)[0m [187]	train-mlogloss:0.69035	validation-mlogloss:0.63871
[36m(train_xgb_ray_tune pid=1476142)[0m [276]	train-mlogloss:0.79153	validation-mlogloss:0.75470
[36m(train_xgb_ray_tune pid=1476160)[0m [183]	train-mlogloss:0.79199	validation-mlogloss:0.75679
[36m(train_xgb_ray_tune pid=1476160)[0m [184]	train-mlogloss:0.79069	validation-mlogloss:0.75530

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:24. Total running time: 9s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             6.19734 │
│ time_total_s                 6.19734 │
│ training_iteration                 1 │
│ validation_accuracy          0.71078 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476162)[0m [265]	train-mlogloss:0.72666	validation-mlogloss:0.67717
[36m(train_xgb_ray_tune pid=1476171)[0m [208]	train-mlogloss:1.14044	validation-mlogloss:1.12672
[36m(train_xgb_ray_tune pid=1476144)[0m [235]	train-mlogloss:0.74458	validation-mlogloss:0.69832
[36m(train_xgb_ray_tune pid=1476144)[0m [236]	train-mlogloss:0.74375	validation-mlogloss:0.69734
[36m(train_xgb_ray_tune pid=1476156)[0m [294]	train-mlogloss:1.05775	validation-mlogloss:1.04051
[36m(train_xgb_ray_tune pid=1476156)[0m [295]	train-mlogloss:1.05748	validation-mlogloss:1.04024
[36m(train_xgb_ray_tune pid=1476143)[0m [175]	train-mlogloss:0.76319	validation-mlogloss:0.73209
[36m(train_xgb_ray_tune pid=1476143)[0m [176]	train-mlogloss:0.76176	validation-mlogloss:0.73042
[36m(train_xgb_ray_tune pid=1476150)[0m [221]	train-mlogloss:0.68727	validation-mlogloss:0.63499
[36m(train_xgb_ray_tune pid=1476150)[0m [222]	train-mlogloss:0.68649	validation-mlogloss:0.63415
[36m(train_xgb_ray_tune pid=1476164)[0m [231]	train-mlogloss:0.70788	validation-mlogloss:0.66034
[36m(train_xgb_ray_tune pid=1476164)[0m [232]	train-mlogloss:0.70770	validation-mlogloss:0.66018
[36m(train_xgb_ray_tune pid=1476165)[0m [274]	train-mlogloss:0.82682	validation-mlogloss:0.79609
[36m(train_xgb_ray_tune pid=1476165)[0m [275]	train-mlogloss:0.82601	validation-mlogloss:0.79520

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:24. Total running time: 9s
[36m(train_xgb_ray_tune pid=1476158)[0m [252]	train-mlogloss:1.32413	validation-mlogloss:1.31963
[36m(train_xgb_ray_tune pid=1476158)[0m [253]	train-mlogloss:1.32392	validation-mlogloss:1.31940
[36m(train_xgb_ray_tune pid=1476170)[0m [177]	train-mlogloss:0.78443	validation-mlogloss:0.74621
[36m(train_xgb_ray_tune pid=1476168)[0m [270]	train-mlogloss:0.92154	validation-mlogloss:0.89679
[36m(train_xgb_ray_tune pid=1476168)[0m [271]	train-mlogloss:0.92106	validation-mlogloss:0.89625
[36m(train_xgb_ray_tune pid=1476168)[0m [272]	train-mlogloss:0.92054	validation-mlogloss:0.89568
[36m(train_xgb_ray_tune pid=1476166)[0m [244]	train-mlogloss:0.67059	validation-mlogloss:0.62248
[36m(train_xgb_ray_tune pid=1476166)[0m [245]	train-mlogloss:0.67045	validation-mlogloss:0.62234
[36m(train_xgb_ray_tune pid=1476167)[0m [210]	train-mlogloss:0.77737	validation-mlogloss:0.73891
[36m(train_xgb_ray_tune pid=1476167)[0m [211]	train-mlogloss:0.77632	validation-mlogloss:0.73772
[36m(train_xgb_ray_tune pid=1476169)[0m [187]	train-mlogloss:0.69618	validation-mlogloss:0.65117
[36m(train_xgb_ray_tune pid=1476169)[0m [188]	train-mlogloss:0.69540	validation-mlogloss:0.65018
[36m(train_xgb_ray_tune pid=1476157)[0m [188]	train-mlogloss:0.68965	validation-mlogloss:0.63793
[36m(train_xgb_ray_tune pid=1476157)[0m [189]	train-mlogloss:0.68885	validation-mlogloss:0.63696
[36m(train_xgb_ray_tune pid=1476142)[0m [277]	train-mlogloss:0.79106	validation-mlogloss:0.75418
[36m(train_xgb_ray_tune pid=1476142)[0m [278]	train-mlogloss:0.79056	validation-mlogloss:0.75365
[36m(train_xgb_ray_tune pid=1476142)[0m [279]	train-mlogloss:0.79020	validation-mlogloss:0.75323
[36m(train_xgb_ray_tune pid=1476160)[0m [185]	train-mlogloss:0.78971	validation-mlogloss:0.75432
[36m(train_xgb_ray_tune pid=1476160)[0m [186]	train-mlogloss:0.78848	validation-mlogloss:0.75292
[36m(train_xgb_ray_tune pid=1476162)[0m [266]	train-mlogloss:0.72590	validation-mlogloss:0.67643
[36m(train_xgb_ray_tune pid=1476162)[0m [267]	train-mlogloss:0.72525	validation-mlogloss:0.67563
[36m(train_xgb_ray_tune pid=1476171)[0m [209]	train-mlogloss:1.13973	validation-mlogloss:1.12596
[36m(train_xgb_ray_tune pid=1476171)[0m [210]	train-mlogloss:1.13910	validation-mlogloss:1.12528
[36m(train_xgb_ray_tune pid=1476144)[0m [237]	train-mlogloss:0.74298	validation-mlogloss:0.69646
[36m(train_xgb_ray_tune pid=1476156)[0m [296]	train-mlogloss:1.05721	validation-mlogloss:1.03996
[36m(train_xgb_ray_tune pid=1476156)[0m [297]	train-mlogloss:1.05675	validation-mlogloss:1.03948
[36m(train_xgb_ray_tune pid=1476143)[0m [177]	train-mlogloss:0.76039	validation-mlogloss:0.72896
[36m(train_xgb_ray_tune pid=1476150)[0m [223]	train-mlogloss:0.68581	validation-mlogloss:0.63336
[36m(train_xgb_ray_tune pid=1476150)[0m [224]	train-mlogloss:0.68541	validation-mlogloss:0.63294
[36m(train_xgb_ray_tune pid=1476164)[0m [233]	train-mlogloss:0.70718	validation-mlogloss:0.65952
[36m(train_xgb_ray_tune pid=1476164)[0m [234]	train-mlogloss:0.70669	validation-mlogloss:0.65893
[36m(train_xgb_ray_tune pid=1476165)[0m [276]	train-mlogloss:0.82519	validation-mlogloss:0.79427
[36m(train_xgb_ray_tune pid=1476158)[0m [254]	train-mlogloss:1.32373	validation-mlogloss:1.31919
[36m(train_xgb_ray_tune pid=1476158)[0m [255]	train-mlogloss:1.32352	validation-mlogloss:1.31898
[36m(train_xgb_ray_tune pid=1476170)[0m [178]	train-mlogloss:0.78326	validation-mlogloss:0.74495
[36m(train_xgb_ray_tune pid=1476170)[0m [179]	train-mlogloss:0.78221	validation-mlogloss:0.74367
[36m(train_xgb_ray_tune pid=1476168)[0m [273]	train-mlogloss:0.92015	validation-mlogloss:0.89529
[36m(train_xgb_ray_tune pid=1476166)[0m [246]	train-mlogloss:0.67010	validation-mlogloss:0.62194
[36m(train_xgb_ray_tune pid=1476167)[0m [212]	train-mlogloss:0.77540	validation-mlogloss:0.73670
[36m(train_xgb_ray_tune pid=1476169)[0m [189]	train-mlogloss:0.69431	validation-mlogloss:0.64893
[36m(train_xgb_ray_tune pid=1476157)[0m [190]	train-mlogloss:0.68817	validation-mlogloss:0.63619
[36m(train_xgb_ray_tune pid=1476142)[0m [280]	train-mlogloss:0.78975	validation-mlogloss:0.75273
[36m(train_xgb_ray_tune pid=1476160)[0m [187]	train-mlogloss:0.78738	validation-mlogloss:0.75170
[36m(train_xgb_ray_tune pid=1476160)[0m [188]	train-mlogloss:0.78624	validation-mlogloss:0.75043
[36m(train_xgb_ray_tune pid=1476162)[0m [268]	train-mlogloss:0.72468	validation-mlogloss:0.67498
[36m(train_xgb_ray_tune pid=1476171)[0m [211]	train-mlogloss:1.13839	validation-mlogloss:1.12451
[36m(train_xgb_ray_tune pid=1476171)[0m [212]	train-mlogloss:1.13767	validation-mlogloss:1.12375
[36m(train_xgb_ray_tune pid=1476144)[0m [238]	train-mlogloss:0.74215	validation-mlogloss:0.69544
[36m(train_xgb_ray_tune pid=1476144)[0m [239]	train-mlogloss:0.74124	validation-mlogloss:0.69442
[36m(train_xgb_ray_tune pid=1476156)[0m [298]	train-mlogloss:1.05651	validation-mlogloss:1.03923
[36m(train_xgb_ray_tune pid=1476156)[0m [299]	train-mlogloss:1.05625	validation-mlogloss:1.03896
[36m(train_xgb_ray_tune pid=1476143)[0m [178]	train-mlogloss:0.75888	validation-mlogloss:0.72731
[36m(train_xgb_ray_tune pid=1476150)[0m [225]	train-mlogloss:0.68500	validation-mlogloss:0.63246
[36m(train_xgb_ray_tune pid=1476150)[0m [226]	train-mlogloss:0.68432	validation-mlogloss:0.63168
[36m(train_xgb_ray_tune pid=1476164)[0m [235]	train-mlogloss:0.70627	validation-mlogloss:0.65847
[36m(train_xgb_ray_tune pid=1476164)[0m [236]	train-mlogloss:0.70579	validation-mlogloss:0.65788
[36m(train_xgb_ray_tune pid=1476165)[0m [277]	train-mlogloss:0.82435	validation-mlogloss:0.79340
[36m(train_xgb_ray_tune pid=1476165)[0m [278]	train-mlogloss:0.82359	validation-mlogloss:0.79253
[36m(train_xgb_ray_tune pid=1476158)[0m [256]	train-mlogloss:1.32333	validation-mlogloss:1.31878
[36m(train_xgb_ray_tune pid=1476170)[0m [180]	train-mlogloss:0.78119	validation-mlogloss:0.74250
[36m(train_xgb_ray_tune pid=1476168)[0m [274]	train-mlogloss:0.91979	validation-mlogloss:0.89491
[36m(train_xgb_ray_tune pid=1476166)[0m [247]	train-mlogloss:0.66976	validation-mlogloss:0.62158
[36m(train_xgb_ray_tune pid=1476167)[0m [213]	train-mlogloss:0.77449	validation-mlogloss:0.73560
[36m(train_xgb_ray_tune pid=1476167)[0m [214]	train-mlogloss:0.77366	validation-mlogloss:0.73468
[36m(train_xgb_ray_tune pid=1476169)[0m [190]	train-mlogloss:0.69337	validation-mlogloss:0.64774
[36m(train_xgb_ray_tune pid=1476157)[0m [191]	train-mlogloss:0.68727	validation-mlogloss:0.63505
[36m(train_xgb_ray_tune pid=1476142)[0m [281]	train-mlogloss:0.78940	validation-mlogloss:0.75233
[36m(train_xgb_ray_tune pid=1476142)[0m [282]	train-mlogloss:0.78911	validation-mlogloss:0.75202
[36m(train_xgb_ray_tune pid=1476142)[0m [283]	train-mlogloss:0.78858	validation-mlogloss:0.75140
[36m(train_xgb_ray_tune pid=1476160)[0m [189]	train-mlogloss:0.78519	validation-mlogloss:0.74922
[36m(train_xgb_ray_tune pid=1476162)[0m [269]	train-mlogloss:0.72401	validation-mlogloss:0.67428
[36m(train_xgb_ray_tune pid=1476171)[0m [213]	train-mlogloss:1.13705	validation-mlogloss:1.12308
[36m(train_xgb_ray_tune pid=1476144)[0m [240]	train-mlogloss:0.74040	validation-mlogloss:0.69344
[36m(train_xgb_ray_tune pid=1476156)[0m [300]	train-mlogloss:1.05600	validation-mlogloss:1.03867
[36m(train_xgb_ray_tune pid=1476143)[0m [179]	train-mlogloss:0.75744	validation-mlogloss:0.72572
[36m(train_xgb_ray_tune pid=1476150)[0m [227]	train-mlogloss:0.68376	validation-mlogloss:0.63107
[36m(train_xgb_ray_tune pid=1476164)[0m [237]	train-mlogloss:0.70537	validation-mlogloss:0.65742
[36m(train_xgb_ray_tune pid=1476165)[0m [279]	train-mlogloss:0.82278	validation-mlogloss:0.79162
[36m(train_xgb_ray_tune pid=1476158)[0m [257]	train-mlogloss:1.32320	validation-mlogloss:1.31863
[36m(train_xgb_ray_tune pid=1476158)[0m [258]	train-mlogloss:1.32299	validation-mlogloss:1.31841
[36m(train_xgb_ray_tune pid=1476170)[0m [181]	train-mlogloss:0.78012	validation-mlogloss:0.74129
[36m(train_xgb_ray_tune pid=1476168)[0m [275]	train-mlogloss:0.91939	validation-mlogloss:0.89447
[36m(train_xgb_ray_tune pid=1476166)[0m [248]	train-mlogloss:0.66962	validation-mlogloss:0.62138
[36m(train_xgb_ray_tune pid=1476167)[0m [215]	train-mlogloss:0.77283	validation-mlogloss:0.73377
[36m(train_xgb_ray_tune pid=1476169)[0m [191]	train-mlogloss:0.69238	validation-mlogloss:0.64661
[36m(train_xgb_ray_tune pid=1476157)[0m [192]	train-mlogloss:0.68642	validation-mlogloss:0.63411
[36m(train_xgb_ray_tune pid=1476142)[0m [284]	train-mlogloss:0.78805	validation-mlogloss:0.75078
[36m(train_xgb_ray_tune pid=1476160)[0m [190]	train-mlogloss:0.78418	validation-mlogloss:0.74810
[36m(train_xgb_ray_tune pid=1476160)[0m [191]	train-mlogloss:0.78318	validation-mlogloss:0.74705
[36m(train_xgb_ray_tune pid=1476162)[0m [270]	train-mlogloss:0.72357	validation-mlogloss:0.67377
[36m(train_xgb_ray_tune pid=1476162)[0m [271]	train-mlogloss:0.72285	validation-mlogloss:0.67288
[36m(train_xgb_ray_tune pid=1476171)[0m [214]	train-mlogloss:1.13634	validation-mlogloss:1.12231
[36m(train_xgb_ray_tune pid=1476144)[0m [241]	train-mlogloss:0.73971	validation-mlogloss:0.69263
[36m(train_xgb_ray_tune pid=1476156)[0m [301]	train-mlogloss:1.05555	validation-mlogloss:1.03822
[36m(train_xgb_ray_tune pid=1476143)[0m [180]	train-mlogloss:0.75610	validation-mlogloss:0.72426
[36m(train_xgb_ray_tune pid=1476150)[0m [228]	train-mlogloss:0.68319	validation-mlogloss:0.63042
[36m(train_xgb_ray_tune pid=1476150)[0m [229]	train-mlogloss:0.68265	validation-mlogloss:0.62984
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[36m(train_xgb_ray_tune pid=1476162)[0m [324]	train-mlogloss:0.69627	validation-mlogloss:0.64159
[36m(train_xgb_ray_tune pid=1476171)[0m [282]	train-mlogloss:1.09482	validation-mlogloss:1.07856
[36m(train_xgb_ray_tune pid=1476156)[0m [369]	train-mlogloss:1.04162	validation-mlogloss:1.02278
[36m(train_xgb_ray_tune pid=1476143)[0m [224]	train-mlogloss:0.70657	validation-mlogloss:0.66896
[36m(train_xgb_ray_tune pid=1476150)[0m [299]	train-mlogloss:0.65488	validation-mlogloss:0.59788
[36m(train_xgb_ray_tune pid=1476158)[0m [325]	train-mlogloss:1.31295	validation-mlogloss:1.30763
[36m(train_xgb_ray_tune pid=1476170)[0m [235]	train-mlogloss:0.73209	validation-mlogloss:0.68617
[36m(train_xgb_ray_tune pid=1476168)[0m [344]	train-mlogloss:0.90529	validation-mlogloss:0.87888
[36m(train_xgb_ray_tune pid=1476166)[0m [315]	train-mlogloss:0.65924	validation-mlogloss:0.60948
[36m(train_xgb_ray_tune pid=1476167)[0m [273]	train-mlogloss:0.72928	validation-mlogloss:0.68403
[36m(train_xgb_ray_tune pid=1476169)[0m [243]	train-mlogloss:0.65662	validation-mlogloss:0.60412
[36m(train_xgb_ray_tune pid=1476142)[0m [352]	train-mlogloss:0.76935	validation-mlogloss:0.72938
[36m(train_xgb_ray_tune pid=1476171)[0m [283]	train-mlogloss:1.09425	validation-mlogloss:1.07793
[36m(train_xgb_ray_tune pid=1476144)[0m [295]	train-mlogloss:0.70477	validation-mlogloss:0.65150
[36m(train_xgb_ray_tune pid=1476156)[0m [370]	train-mlogloss:1.04141	validation-mlogloss:1.02256
[36m(train_xgb_ray_tune pid=1476165)[0m [336]	train-mlogloss:0.78180	validation-mlogloss:0.74636
[36m(train_xgb_ray_tune pid=1476158)[0m [326]	train-mlogloss:1.31282	validation-mlogloss:1.30749
[36m(train_xgb_ray_tune pid=1476170)[0m [236]	train-mlogloss:0.73132	validation-mlogloss:0.68529
[36m(train_xgb_ray_tune pid=1476166)[0m [316]	train-mlogloss:0.65924	validation-mlogloss:0.60948
[36m(train_xgb_ray_tune pid=1476167)[0m [274]	train-mlogloss:0.72872	validation-mlogloss:0.68333
[36m(train_xgb_ray_tune pid=1476169)[0m [244]	train-mlogloss:0.65627	validation-mlogloss:0.60376

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 9s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             6.62696 │
│ time_total_s                 6.62696 │
│ training_iteration                 1 │
│ validation_accuracy          0.74095 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476142)[0m [353]	train-mlogloss:0.76901	validation-mlogloss:0.72900
[36m(train_xgb_ray_tune pid=1476160)[0m [251]	train-mlogloss:0.73453	validation-mlogloss:0.69211
[36m(train_xgb_ray_tune pid=1476162)[0m [325]	train-mlogloss:0.69589	validation-mlogloss:0.64112
[36m(train_xgb_ray_tune pid=1476171)[0m [284]	train-mlogloss:1.09371	validation-mlogloss:1.07738
[36m(train_xgb_ray_tune pid=1476144)[0m [296]	train-mlogloss:0.70422	validation-mlogloss:0.65080
[36m(train_xgb_ray_tune pid=1476156)[0m [371]	train-mlogloss:1.04141	validation-mlogloss:1.02256
[36m(train_xgb_ray_tune pid=1476143)[0m [225]	train-mlogloss:0.70571	validation-mlogloss:0.66794

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 9s
[36m(train_xgb_ray_tune pid=1476150)[0m [300]	train-mlogloss:0.65476	validation-mlogloss:0.59778
[36m(train_xgb_ray_tune pid=1476150)[0m [301]	train-mlogloss:0.65439	validation-mlogloss:0.59744
[36m(train_xgb_ray_tune pid=1476165)[0m [337]	train-mlogloss:0.78114	validation-mlogloss:0.74572
[36m(train_xgb_ray_tune pid=1476158)[0m [327]	train-mlogloss:1.31270	validation-mlogloss:1.30736
[36m(train_xgb_ray_tune pid=1476170)[0m [237]	train-mlogloss:0.73076	validation-mlogloss:0.68469
[36m(train_xgb_ray_tune pid=1476168)[0m [345]	train-mlogloss:0.90502	validation-mlogloss:0.87860
[36m(train_xgb_ray_tune pid=1476168)[0m [346]	train-mlogloss:0.90502	validation-mlogloss:0.87860
[36m(train_xgb_ray_tune pid=1476166)[0m [317]	train-mlogloss:0.65924	validation-mlogloss:0.60948
[36m(train_xgb_ray_tune pid=1476167)[0m [275]	train-mlogloss:0.72818	validation-mlogloss:0.68274
[36m(train_xgb_ray_tune pid=1476169)[0m [245]	train-mlogloss:0.65571	validation-mlogloss:0.60307

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 9s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             6.66839 │
│ time_total_s                 6.66839 │
│ training_iteration                 1 │
│ validation_accuracy          0.73379 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476142)[0m [354]	train-mlogloss:0.76890	validation-mlogloss:0.72889
[36m(train_xgb_ray_tune pid=1476142)[0m [355]	train-mlogloss:0.76878	validation-mlogloss:0.72877
[36m(train_xgb_ray_tune pid=1476160)[0m [252]	train-mlogloss:0.73392	validation-mlogloss:0.69143
[36m(train_xgb_ray_tune pid=1476160)[0m [253]	train-mlogloss:0.73332	validation-mlogloss:0.69077
[36m(train_xgb_ray_tune pid=1476162)[0m [326]	train-mlogloss:0.69542	validation-mlogloss:0.64056
[36m(train_xgb_ray_tune pid=1476162)[0m [327]	train-mlogloss:0.69491	validation-mlogloss:0.63995

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 9s
[36m(train_xgb_ray_tune pid=1476171)[0m [285]	train-mlogloss:1.09318	validation-mlogloss:1.07683
[36m(train_xgb_ray_tune pid=1476144)[0m [297]	train-mlogloss:0.70384	validation-mlogloss:0.65038
[36m(train_xgb_ray_tune pid=1476156)[0m [372]	train-mlogloss:1.04141	validation-mlogloss:1.02256
[36m(train_xgb_ray_tune pid=1476156)[0m [373]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476143)[0m [226]	train-mlogloss:0.70470	validation-mlogloss:0.66684
[36m(train_xgb_ray_tune pid=1476143)[0m [227]	train-mlogloss:0.70372	validation-mlogloss:0.66576
[36m(train_xgb_ray_tune pid=1476150)[0m [302]	train-mlogloss:0.65412	validation-mlogloss:0.59714
[36m(train_xgb_ray_tune pid=1476150)[0m [303]	train-mlogloss:0.65402	validation-mlogloss:0.59705
[36m(train_xgb_ray_tune pid=1476165)[0m [338]	train-mlogloss:0.78053	validation-mlogloss:0.74506
[36m(train_xgb_ray_tune pid=1476165)[0m [339]	train-mlogloss:0.77989	validation-mlogloss:0.74433
[36m(train_xgb_ray_tune pid=1476158)[0m [328]	train-mlogloss:1.31270	validation-mlogloss:1.30736
[36m(train_xgb_ray_tune pid=1476158)[0m [329]	train-mlogloss:1.31260	validation-mlogloss:1.30725
[36m(train_xgb_ray_tune pid=1476170)[0m [238]	train-mlogloss:0.73005	validation-mlogloss:0.68380
[36m(train_xgb_ray_tune pid=1476170)[0m [239]	train-mlogloss:0.72934	validation-mlogloss:0.68301
[36m(train_xgb_ray_tune pid=1476168)[0m [347]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476168)[0m [348]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476168)[0m [349]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476166)[0m [318]	train-mlogloss:0.65914	validation-mlogloss:0.60939
[36m(train_xgb_ray_tune pid=1476166)[0m [319]	train-mlogloss:0.65904	validation-mlogloss:0.60930
[36m(train_xgb_ray_tune pid=1476166)[0m [320]	train-mlogloss:0.65904	validation-mlogloss:0.60930
[36m(train_xgb_ray_tune pid=1476167)[0m [276]	train-mlogloss:0.72747	validation-mlogloss:0.68191
[36m(train_xgb_ray_tune pid=1476167)[0m [277]	train-mlogloss:0.72691	validation-mlogloss:0.68124
[36m(train_xgb_ray_tune pid=1476169)[0m [246]	train-mlogloss:0.65523	validation-mlogloss:0.60251
[36m(train_xgb_ray_tune pid=1476142)[0m [356]	train-mlogloss:0.76845	validation-mlogloss:0.72842
[36m(train_xgb_ray_tune pid=1476142)[0m [357]	train-mlogloss:0.76834	validation-mlogloss:0.72829
[36m(train_xgb_ray_tune pid=1476142)[0m [358]	train-mlogloss:0.76822	validation-mlogloss:0.72815
[36m(train_xgb_ray_tune pid=1476160)[0m [254]	train-mlogloss:0.73266	validation-mlogloss:0.69000
[36m(train_xgb_ray_tune pid=1476162)[0m [328]	train-mlogloss:0.69447	validation-mlogloss:0.63947
[36m(train_xgb_ray_tune pid=1476171)[0m [286]	train-mlogloss:1.09262	validation-mlogloss:1.07625
[36m(train_xgb_ray_tune pid=1476171)[0m [287]	train-mlogloss:1.09214	validation-mlogloss:1.07573
[36m(train_xgb_ray_tune pid=1476144)[0m [298]	train-mlogloss:0.70330	validation-mlogloss:0.64968
[36m(train_xgb_ray_tune pid=1476144)[0m [299]	train-mlogloss:0.70275	validation-mlogloss:0.64904
[36m(train_xgb_ray_tune pid=1476156)[0m [374]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476156)[0m [375]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476143)[0m [228]	train-mlogloss:0.70289	validation-mlogloss:0.66475
[36m(train_xgb_ray_tune pid=1476150)[0m [304]	train-mlogloss:0.65369	validation-mlogloss:0.59662
[36m(train_xgb_ray_tune pid=1476165)[0m [340]	train-mlogloss:0.77927	validation-mlogloss:0.74362
[36m(train_xgb_ray_tune pid=1476158)[0m [330]	train-mlogloss:1.31243	validation-mlogloss:1.30707
[36m(train_xgb_ray_tune pid=1476158)[0m [331]	train-mlogloss:1.31225	validation-mlogloss:1.30688
[36m(train_xgb_ray_tune pid=1476170)[0m [240]	train-mlogloss:0.72880	validation-mlogloss:0.68241
[36m(train_xgb_ray_tune pid=1476168)[0m [350]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476166)[0m [321]	train-mlogloss:0.65895	validation-mlogloss:0.60918
[36m(train_xgb_ray_tune pid=1476167)[0m [278]	train-mlogloss:0.72625	validation-mlogloss:0.68038
[36m(train_xgb_ray_tune pid=1476169)[0m [247]	train-mlogloss:0.65467	validation-mlogloss:0.60197
[36m(train_xgb_ray_tune pid=1476169)[0m [248]	train-mlogloss:0.65421	validation-mlogloss:0.60144
[36m(train_xgb_ray_tune pid=1476142)[0m [359]	train-mlogloss:0.76803	validation-mlogloss:0.72792
[36m(train_xgb_ray_tune pid=1476160)[0m [255]	train-mlogloss:0.73204	validation-mlogloss:0.68922
[36m(train_xgb_ray_tune pid=1476162)[0m [329]	train-mlogloss:0.69403	validation-mlogloss:0.63892
[36m(train_xgb_ray_tune pid=1476162)[0m [330]	train-mlogloss:0.69365	validation-mlogloss:0.63843
[36m(train_xgb_ray_tune pid=1476171)[0m [288]	train-mlogloss:1.09162	validation-mlogloss:1.07521
[36m(train_xgb_ray_tune pid=1476144)[0m [300]	train-mlogloss:0.70230	validation-mlogloss:0.64853
[36m(train_xgb_ray_tune pid=1476156)[0m [376]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476143)[0m [229]	train-mlogloss:0.70207	validation-mlogloss:0.66384
[36m(train_xgb_ray_tune pid=1476150)[0m [305]	train-mlogloss:0.65358	validation-mlogloss:0.59652
[36m(train_xgb_ray_tune pid=1476150)[0m [306]	train-mlogloss:0.65327	validation-mlogloss:0.59615
[36m(train_xgb_ray_tune pid=1476165)[0m [341]	train-mlogloss:0.77868	validation-mlogloss:0.74299
[36m(train_xgb_ray_tune pid=1476158)[0m [332]	train-mlogloss:1.31206	validation-mlogloss:1.30668
[36m(train_xgb_ray_tune pid=1476170)[0m [241]	train-mlogloss:0.72825	validation-mlogloss:0.68178
[36m(train_xgb_ray_tune pid=1476170)[0m [242]	train-mlogloss:0.72760	validation-mlogloss:0.68101
[36m(train_xgb_ray_tune pid=1476168)[0m [351]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476168)[0m [352]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476168)[0m [353]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476166)[0m [322]	train-mlogloss:0.65895	validation-mlogloss:0.60918
[36m(train_xgb_ray_tune pid=1476166)[0m [323]	train-mlogloss:0.65895	validation-mlogloss:0.60918
[36m(train_xgb_ray_tune pid=1476167)[0m [279]	train-mlogloss:0.72556	validation-mlogloss:0.67961
[36m(train_xgb_ray_tune pid=1476167)[0m [280]	train-mlogloss:0.72507	validation-mlogloss:0.67909
[36m(train_xgb_ray_tune pid=1476169)[0m [249]	train-mlogloss:0.65370	validation-mlogloss:0.60084
[36m(train_xgb_ray_tune pid=1476142)[0m [360]	train-mlogloss:0.76783	validation-mlogloss:0.72766
[36m(train_xgb_ray_tune pid=1476142)[0m [361]	train-mlogloss:0.76783	validation-mlogloss:0.72766
[36m(train_xgb_ray_tune pid=1476142)[0m [362]	train-mlogloss:0.76750	validation-mlogloss:0.72726
[36m(train_xgb_ray_tune pid=1476160)[0m [256]	train-mlogloss:0.73150	validation-mlogloss:0.68867
[36m(train_xgb_ray_tune pid=1476162)[0m [331]	train-mlogloss:0.69329	validation-mlogloss:0.63794
[36m(train_xgb_ray_tune pid=1476171)[0m [289]	train-mlogloss:1.09109	validation-mlogloss:1.07468
[36m(train_xgb_ray_tune pid=1476171)[0m [290]	train-mlogloss:1.09058	validation-mlogloss:1.07417
[36m(train_xgb_ray_tune pid=1476144)[0m [301]	train-mlogloss:0.70194	validation-mlogloss:0.64803
[36m(train_xgb_ray_tune pid=1476156)[0m [377]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476165)[0m [342]	train-mlogloss:0.77809	validation-mlogloss:0.74230
[36m(train_xgb_ray_tune pid=1476158)[0m [333]	train-mlogloss:1.31206	validation-mlogloss:1.30668
[36m(train_xgb_ray_tune pid=1476170)[0m [243]	train-mlogloss:0.72692	validation-mlogloss:0.68018
[36m(train_xgb_ray_tune pid=1476168)[0m [354]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476166)[0m [324]	train-mlogloss:0.65895	validation-mlogloss:0.60918
[36m(train_xgb_ray_tune pid=1476167)[0m [281]	train-mlogloss:0.72451	validation-mlogloss:0.67847
[36m(train_xgb_ray_tune pid=1476142)[0m [363]	train-mlogloss:0.76739	validation-mlogloss:0.72715
[36m(train_xgb_ray_tune pid=1476160)[0m [257]	train-mlogloss:0.73080	validation-mlogloss:0.68785
[36m(train_xgb_ray_tune pid=1476156)[0m [378]	train-mlogloss:1.04120	validation-mlogloss:1.02234
[36m(train_xgb_ray_tune pid=1476143)[0m [230]	train-mlogloss:0.70121	validation-mlogloss:0.66290
[36m(train_xgb_ray_tune pid=1476150)[0m [307]	train-mlogloss:0.65302	validation-mlogloss:0.59586
[36m(train_xgb_ray_tune pid=1476158)[0m [334]	train-mlogloss:1.31189	validation-mlogloss:1.30650
[36m(train_xgb_ray_tune pid=1476170)[0m [244]	train-mlogloss:0.72622	validation-mlogloss:0.67940
[36m(train_xgb_ray_tune pid=1476168)[0m [355]	train-mlogloss:0.90486	validation-mlogloss:0.87840
[36m(train_xgb_ray_tune pid=1476166)[0m [325]	train-mlogloss:0.65872	validation-mlogloss:0.60893
[36m(train_xgb_ray_tune pid=1476169)[0m [250]	train-mlogloss:0.65328	validation-mlogloss:0.60036
[36m(train_xgb_ray_tune pid=1476142)[0m [364]	train-mlogloss:0.76718	validation-mlogloss:0.72691
[36m(train_xgb_ray_tune pid=1476160)[0m [258]	train-mlogloss:0.73012	validation-mlogloss:0.68706
[36m(train_xgb_ray_tune pid=1476162)[0m [332]	train-mlogloss:0.69274	validation-mlogloss:0.63722
[36m(train_xgb_ray_tune pid=1476171)[0m [291]	train-mlogloss:1.09004	validation-mlogloss:1.07358
[36m(train_xgb_ray_tune pid=1476144)[0m [302]	train-mlogloss:0.70150	validation-mlogloss:0.64752
[36m(train_xgb_ray_tune pid=1476156)[0m [379]	train-mlogloss:1.04099	validation-mlogloss:1.02209
[36m(train_xgb_ray_tune pid=1476150)[0m [308]	train-mlogloss:0.65268	validation-mlogloss:0.59543
[36m(train_xgb_ray_tune pid=1476165)[0m [343]	train-mlogloss:0.77751	validation-mlogloss:0.74161
[36m(train_xgb_ray_tune pid=1476158)[0m [335]	train-mlogloss:1.31179	validation-mlogloss:1.30638
[36m(train_xgb_ray_tune pid=1476170)[0m [245]	train-mlogloss:0.72570	validation-mlogloss:0.67880
[36m(train_xgb_ray_tune pid=1476168)[0m [356]	train-mlogloss:0.90470	validation-mlogloss:0.87824
[36m(train_xgb_ray_tune pid=1476166)[0m [326]	train-mlogloss:0.65863	validation-mlogloss:0.60884
[36m(train_xgb_ray_tune pid=1476167)[0m [282]	train-mlogloss:0.72386	validation-mlogloss:0.67768
[36m(train_xgb_ray_tune pid=1476169)[0m [251]	train-mlogloss:0.65277	validation-mlogloss:0.59976
[36m(train_xgb_ray_tune pid=1476142)[0m [365]	train-mlogloss:0.76718	validation-mlogloss:0.72691
[36m(train_xgb_ray_tune pid=1476162)[0m [333]	train-mlogloss:0.69238	validation-mlogloss:0.63679
[36m(train_xgb_ray_tune pid=1476171)[0m [292]	train-mlogloss:1.08953	validation-mlogloss:1.07307
[36m(train_xgb_ray_tune pid=1476144)[0m [303]	train-mlogloss:0.70100	validation-mlogloss:0.64692
[36m(train_xgb_ray_tune pid=1476143)[0m [231]	train-mlogloss:0.70025	validation-mlogloss:0.66186
[36m(train_xgb_ray_tune pid=1476150)[0m [309]	train-mlogloss:0.65257	validation-mlogloss:0.59532
[36m(train_xgb_ray_tune pid=1476165)[0m [344]	train-mlogloss:0.77695	validation-mlogloss:0.74096
[36m(train_xgb_ray_tune pid=1476158)[0m [336]	train-mlogloss:1.31179	validation-mlogloss:1.30638
[36m(train_xgb_ray_tune pid=1476170)[0m [246]	train-mlogloss:0.72503	validation-mlogloss:0.67801
[36m(train_xgb_ray_tune pid=1476168)[0m [357]	train-mlogloss:0.90453	validation-mlogloss:0.87804
[36m(train_xgb_ray_tune pid=1476168)[0m [358]	train-mlogloss:0.90453	validation-mlogloss:0.87804
[36m(train_xgb_ray_tune pid=1476166)[0m [327]	train-mlogloss:0.65863	validation-mlogloss:0.60884
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[36m(train_xgb_ray_tune pid=1476168)[0m [458]	train-mlogloss:0.90024	validation-mlogloss:0.87346
[36m(train_xgb_ray_tune pid=1476166)[0m [431]	train-mlogloss:0.65651	validation-mlogloss:0.60644
[36m(train_xgb_ray_tune pid=1476167)[0m [353]	train-mlogloss:0.69223	validation-mlogloss:0.64055
[36m(train_xgb_ray_tune pid=1476162)[0m [392]	train-mlogloss:0.67524	validation-mlogloss:0.61716
[36m(train_xgb_ray_tune pid=1476144)[0m [360]	train-mlogloss:0.68108	validation-mlogloss:0.62358
[36m(train_xgb_ray_tune pid=1476143)[0m [274]	train-mlogloss:0.66706	validation-mlogloss:0.62442
[36m(train_xgb_ray_tune pid=1476150)[0m [404]	train-mlogloss:0.63901	validation-mlogloss:0.58033
[36m(train_xgb_ray_tune pid=1476158)[0m [401]	train-mlogloss:1.30523	validation-mlogloss:1.29933
[36m(train_xgb_ray_tune pid=1476170)[0m [295]	train-mlogloss:0.69964	validation-mlogloss:0.64816
[36m(train_xgb_ray_tune pid=1476168)[0m [459]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476168)[0m [460]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476166)[0m [432]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476167)[0m [354]	train-mlogloss:0.69187	validation-mlogloss:0.64013
[36m(train_xgb_ray_tune pid=1476169)[0m [307]	train-mlogloss:0.63383	validation-mlogloss:0.57828
[36m(train_xgb_ray_tune pid=1476160)[0m [315]	train-mlogloss:0.70205	validation-mlogloss:0.65370
[36m(train_xgb_ray_tune pid=1476162)[0m [393]	train-mlogloss:0.67492	validation-mlogloss:0.61679
[36m(train_xgb_ray_tune pid=1476171)[0m [351]	train-mlogloss:1.06266	validation-mlogloss:1.04491
[36m(train_xgb_ray_tune pid=1476144)[0m [361]	train-mlogloss:0.68081	validation-mlogloss:0.62324
[36m(train_xgb_ray_tune pid=1476156)[0m [450]	train-mlogloss:1.03888	validation-mlogloss:1.01981
[36m(train_xgb_ray_tune pid=1476150)[0m [405]	train-mlogloss:0.63895	validation-mlogloss:0.58027
[36m(train_xgb_ray_tune pid=1476165)[0m [395]	train-mlogloss:0.74946	validation-mlogloss:0.70979
[36m(train_xgb_ray_tune pid=1476158)[0m [402]	train-mlogloss:1.30523	validation-mlogloss:1.29933
[36m(train_xgb_ray_tune pid=1476170)[0m [296]	train-mlogloss:0.69922	validation-mlogloss:0.64767
[36m(train_xgb_ray_tune pid=1476168)[0m [461]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476166)[0m [433]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476166)[0m [434]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476169)[0m [308]	train-mlogloss:0.63366	validation-mlogloss:0.57810
[36m(train_xgb_ray_tune pid=1476160)[0m [316]	train-mlogloss:0.70162	validation-mlogloss:0.65317
[36m(train_xgb_ray_tune pid=1476171)[0m [352]	train-mlogloss:1.06225	validation-mlogloss:1.04446
[36m(train_xgb_ray_tune pid=1476156)[0m [451]	train-mlogloss:1.03888	validation-mlogloss:1.01981
[36m(train_xgb_ray_tune pid=1476143)[0m [275]	train-mlogloss:0.66634	validation-mlogloss:0.62365
[36m(train_xgb_ray_tune pid=1476150)[0m [406]	train-mlogloss:0.63878	validation-mlogloss:0.58010
[36m(train_xgb_ray_tune pid=1476150)[0m [407]	train-mlogloss:0.63872	validation-mlogloss:0.58004
[36m(train_xgb_ray_tune pid=1476165)[0m [396]	train-mlogloss:0.74899	validation-mlogloss:0.70920
[36m(train_xgb_ray_tune pid=1476158)[0m [403]	train-mlogloss:1.30507	validation-mlogloss:1.29916
[36m(train_xgb_ray_tune pid=1476170)[0m [297]	train-mlogloss:0.69878	validation-mlogloss:0.64721
[36m(train_xgb_ray_tune pid=1476168)[0m [462]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476168)[0m [463]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476168)[0m [464]	train-mlogloss:0.90008	validation-mlogloss:0.87329
[36m(train_xgb_ray_tune pid=1476166)[0m [435]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476166)[0m [436]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476167)[0m [355]	train-mlogloss:0.69156	validation-mlogloss:0.63980
[36m(train_xgb_ray_tune pid=1476169)[0m [309]	train-mlogloss:0.63338	validation-mlogloss:0.57783
[36m(train_xgb_ray_tune pid=1476160)[0m [317]	train-mlogloss:0.70118	validation-mlogloss:0.65262
[36m(train_xgb_ray_tune pid=1476162)[0m [394]	train-mlogloss:0.67476	validation-mlogloss:0.61661
[36m(train_xgb_ray_tune pid=1476162)[0m [395]	train-mlogloss:0.67450	validation-mlogloss:0.61626
[36m(train_xgb_ray_tune pid=1476171)[0m [353]	train-mlogloss:1.06181	validation-mlogloss:1.04401
[36m(train_xgb_ray_tune pid=1476171)[0m [354]	train-mlogloss:1.06140	validation-mlogloss:1.04357
[36m(train_xgb_ray_tune pid=1476144)[0m [362]	train-mlogloss:0.68063	validation-mlogloss:0.62303
[36m(train_xgb_ray_tune pid=1476144)[0m [363]	train-mlogloss:0.68037	validation-mlogloss:0.62269
[36m(train_xgb_ray_tune pid=1476156)[0m [452]	train-mlogloss:1.03888	validation-mlogloss:1.01981
[36m(train_xgb_ray_tune pid=1476143)[0m [276]	train-mlogloss:0.66558	validation-mlogloss:0.62285
[36m(train_xgb_ray_tune pid=1476150)[0m [408]	train-mlogloss:0.63859	validation-mlogloss:0.57988
[36m(train_xgb_ray_tune pid=1476165)[0m [397]	train-mlogloss:0.74856	validation-mlogloss:0.70872
[36m(train_xgb_ray_tune pid=1476158)[0m [404]	train-mlogloss:1.30507	validation-mlogloss:1.29916
[36m(train_xgb_ray_tune pid=1476158)[0m [405]	train-mlogloss:1.30498	validation-mlogloss:1.29906
[36m(train_xgb_ray_tune pid=1476170)[0m [298]	train-mlogloss:0.69842	validation-mlogloss:0.64681
[36m(train_xgb_ray_tune pid=1476168)[0m [465]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476166)[0m [437]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476166)[0m [438]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476166)[0m [439]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476167)[0m [356]	train-mlogloss:0.69112	validation-mlogloss:0.63929
[36m(train_xgb_ray_tune pid=1476169)[0m [310]	train-mlogloss:0.63314	validation-mlogloss:0.57755
[36m(train_xgb_ray_tune pid=1476160)[0m [318]	train-mlogloss:0.70105	validation-mlogloss:0.65250
[36m(train_xgb_ray_tune pid=1476160)[0m [319]	train-mlogloss:0.70070	validation-mlogloss:0.65210
[36m(train_xgb_ray_tune pid=1476162)[0m [396]	train-mlogloss:0.67425	validation-mlogloss:0.61596
[36m(train_xgb_ray_tune pid=1476171)[0m [355]	train-mlogloss:1.06100	validation-mlogloss:1.04315
[36m(train_xgb_ray_tune pid=1476144)[0m [364]	train-mlogloss:0.68012	validation-mlogloss:0.62242
[36m(train_xgb_ray_tune pid=1476143)[0m [277]	train-mlogloss:0.66483	validation-mlogloss:0.62208
[36m(train_xgb_ray_tune pid=1476150)[0m [409]	train-mlogloss:0.63852	validation-mlogloss:0.57982
[36m(train_xgb_ray_tune pid=1476150)[0m [410]	train-mlogloss:0.63846	validation-mlogloss:0.57976
[36m(train_xgb_ray_tune pid=1476165)[0m [398]	train-mlogloss:0.74810	validation-mlogloss:0.70819
[36m(train_xgb_ray_tune pid=1476158)[0m [406]	train-mlogloss:1.30481	validation-mlogloss:1.29888
[36m(train_xgb_ray_tune pid=1476170)[0m [299]	train-mlogloss:0.69801	validation-mlogloss:0.64636
[36m(train_xgb_ray_tune pid=1476168)[0m [466]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476168)[0m [467]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476166)[0m [440]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476167)[0m [357]	train-mlogloss:0.69078	validation-mlogloss:0.63884
[36m(train_xgb_ray_tune pid=1476169)[0m [311]	train-mlogloss:0.63286	validation-mlogloss:0.57730
[36m(train_xgb_ray_tune pid=1476160)[0m [320]	train-mlogloss:0.70027	validation-mlogloss:0.65153
[36m(train_xgb_ray_tune pid=1476162)[0m [397]	train-mlogloss:0.67400	validation-mlogloss:0.61565
[36m(train_xgb_ray_tune pid=1476171)[0m [356]	train-mlogloss:1.06058	validation-mlogloss:1.04272
[36m(train_xgb_ray_tune pid=1476144)[0m [365]	train-mlogloss:0.67978	validation-mlogloss:0.62209
[36m(train_xgb_ray_tune pid=1476150)[0m [411]	train-mlogloss:0.63839	validation-mlogloss:0.57966
[36m(train_xgb_ray_tune pid=1476165)[0m [399]	train-mlogloss:0.74762	validation-mlogloss:0.70770
[36m(train_xgb_ray_tune pid=1476158)[0m [407]	train-mlogloss:1.30481	validation-mlogloss:1.29888
[36m(train_xgb_ray_tune pid=1476170)[0m [300]	train-mlogloss:0.69764	validation-mlogloss:0.64591
[36m(train_xgb_ray_tune pid=1476168)[0m [468]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476166)[0m [441]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476166)[0m [442]	train-mlogloss:0.65629	validation-mlogloss:0.60621
[36m(train_xgb_ray_tune pid=1476167)[0m [358]	train-mlogloss:0.69039	validation-mlogloss:0.63837
[36m(train_xgb_ray_tune pid=1476169)[0m [312]	train-mlogloss:0.63255	validation-mlogloss:0.57698
[36m(train_xgb_ray_tune pid=1476160)[0m [321]	train-mlogloss:0.69988	validation-mlogloss:0.65110
[36m(train_xgb_ray_tune pid=1476162)[0m [398]	train-mlogloss:0.67374	validation-mlogloss:0.61540
[36m(train_xgb_ray_tune pid=1476171)[0m [357]	train-mlogloss:1.06014	validation-mlogloss:1.04225
[36m(train_xgb_ray_tune pid=1476144)[0m [366]	train-mlogloss:0.67949	validation-mlogloss:0.62180
[36m(train_xgb_ray_tune pid=1476143)[0m [278]	train-mlogloss:0.66422	validation-mlogloss:0.62134
[36m(train_xgb_ray_tune pid=1476150)[0m [412]	train-mlogloss:0.63839	validation-mlogloss:0.57966
[36m(train_xgb_ray_tune pid=1476150)[0m [413]	train-mlogloss:0.63818	validation-mlogloss:0.57943
[36m(train_xgb_ray_tune pid=1476158)[0m [408]	train-mlogloss:1.30481	validation-mlogloss:1.29888
[36m(train_xgb_ray_tune pid=1476168)[0m [469]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476166)[0m [443]	train-mlogloss:0.65608	validation-mlogloss:0.60598
[36m(train_xgb_ray_tune pid=1476166)[0m [444]	train-mlogloss:0.65598	validation-mlogloss:0.60584
[36m(train_xgb_ray_tune pid=1476167)[0m [359]	train-mlogloss:0.69003	validation-mlogloss:0.63798
[36m(train_xgb_ray_tune pid=1476169)[0m [313]	train-mlogloss:0.63228	validation-mlogloss:0.57671
[36m(train_xgb_ray_tune pid=1476160)[0m [322]	train-mlogloss:0.69951	validation-mlogloss:0.65072
[36m(train_xgb_ray_tune pid=1476160)[0m [323]	train-mlogloss:0.69921	validation-mlogloss:0.65038
[36m(train_xgb_ray_tune pid=1476162)[0m [399]	train-mlogloss:0.67343	validation-mlogloss:0.61505
[36m(train_xgb_ray_tune pid=1476144)[0m [367]	train-mlogloss:0.67915	validation-mlogloss:0.62145
[36m(train_xgb_ray_tune pid=1476143)[0m [279]	train-mlogloss:0.66365	validation-mlogloss:0.62070
[36m(train_xgb_ray_tune pid=1476150)[0m [414]	train-mlogloss:0.63813	validation-mlogloss:0.57939
[36m(train_xgb_ray_tune pid=1476165)[0m [400]	train-mlogloss:0.74714	validation-mlogloss:0.70720
[36m(train_xgb_ray_tune pid=1476158)[0m [409]	train-mlogloss:1.30481	validation-mlogloss:1.29888
[36m(train_xgb_ray_tune pid=1476170)[0m [301]	train-mlogloss:0.69721	validation-mlogloss:0.64545
[36m(train_xgb_ray_tune pid=1476168)[0m [470]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476166)[0m [445]	train-mlogloss:0.65598	validation-mlogloss:0.60584
[36m(train_xgb_ray_tune pid=1476167)[0m [360]	train-mlogloss:0.68968	validation-mlogloss:0.63760
[36m(train_xgb_ray_tune pid=1476169)[0m [314]	train-mlogloss:0.63205	validation-mlogloss:0.57641
[36m(train_xgb_ray_tune pid=1476160)[0m [324]	train-mlogloss:0.69885	validation-mlogloss:0.64990
[36m(train_xgb_ray_tune pid=1476162)[0m [400]	train-mlogloss:0.67319	validation-mlogloss:0.61477
[36m(train_xgb_ray_tune pid=1476171)[0m [358]	train-mlogloss:1.05971	validation-mlogloss:1.04179
[36m(train_xgb_ray_tune pid=1476144)[0m [368]	train-mlogloss:0.67898	validation-mlogloss:0.62125
[36m(train_xgb_ray_tune pid=1476150)[0m [415]	train-mlogloss:0.63813	validation-mlogloss:0.57939
[36m(train_xgb_ray_tune pid=1476165)[0m [401]	train-mlogloss:0.74672	validation-mlogloss:0.70669
[36m(train_xgb_ray_tune pid=1476158)[0m [410]	train-mlogloss:1.30464	validation-mlogloss:1.29870
[36m(train_xgb_ray_tune pid=1476170)[0m [302]	train-mlogloss:0.69678	validation-mlogloss:0.64499
[36m(train_xgb_ray_tune pid=1476168)[0m [471]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476160)[0m [325]	train-mlogloss:0.69844	validation-mlogloss:0.64943
[36m(train_xgb_ray_tune pid=1476171)[0m [359]	train-mlogloss:1.05932	validation-mlogloss:1.04138
[36m(train_xgb_ray_tune pid=1476143)[0m [280]	train-mlogloss:0.66300	validation-mlogloss:0.62001
[36m(train_xgb_ray_tune pid=1476150)[0m [416]	train-mlogloss:0.63813	validation-mlogloss:0.57939
[36m(train_xgb_ray_tune pid=1476150)[0m [417]	train-mlogloss:0.63813	validation-mlogloss:0.57939
[36m(train_xgb_ray_tune pid=1476168)[0m [472]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [361]	train-mlogloss:0.68926	validation-mlogloss:0.63707

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.50761 │
│ time_total_s                 7.50761 │
│ training_iteration                 1 │
│ validation_accuracy          0.72172 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476169)[0m [315]	train-mlogloss:0.63183	validation-mlogloss:0.57617
[36m(train_xgb_ray_tune pid=1476160)[0m [326]	train-mlogloss:0.69812	validation-mlogloss:0.64905
[36m(train_xgb_ray_tune pid=1476162)[0m [401]	train-mlogloss:0.67295	validation-mlogloss:0.61453
[36m(train_xgb_ray_tune pid=1476171)[0m [360]	train-mlogloss:1.05890	validation-mlogloss:1.04094
[36m(train_xgb_ray_tune pid=1476144)[0m [369]	train-mlogloss:0.67874	validation-mlogloss:0.62093
[36m(train_xgb_ray_tune pid=1476150)[0m [418]	train-mlogloss:0.63813	validation-mlogloss:0.57939

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476165)[0m [402]	train-mlogloss:0.74620	validation-mlogloss:0.70607
[36m(train_xgb_ray_tune pid=1476158)[0m [411]	train-mlogloss:1.30447	validation-mlogloss:1.29852
[36m(train_xgb_ray_tune pid=1476170)[0m [303]	train-mlogloss:0.69643	validation-mlogloss:0.64460
[36m(train_xgb_ray_tune pid=1476168)[0m [473]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476169)[0m [316]	train-mlogloss:0.63154	validation-mlogloss:0.57577
[36m(train_xgb_ray_tune pid=1476160)[0m [327]	train-mlogloss:0.69773	validation-mlogloss:0.64862
[36m(train_xgb_ray_tune pid=1476162)[0m [402]	train-mlogloss:0.67273	validation-mlogloss:0.61431
[36m(train_xgb_ray_tune pid=1476162)[0m [403]	train-mlogloss:0.67235	validation-mlogloss:0.61389
[36m(train_xgb_ray_tune pid=1476171)[0m [361]	train-mlogloss:1.05848	validation-mlogloss:1.04052
[36m(train_xgb_ray_tune pid=1476144)[0m [370]	train-mlogloss:0.67840	validation-mlogloss:0.62056
[36m(train_xgb_ray_tune pid=1476144)[0m [371]	train-mlogloss:0.67811	validation-mlogloss:0.62022
[36m(train_xgb_ray_tune pid=1476143)[0m [281]	train-mlogloss:0.66235	validation-mlogloss:0.61930
[36m(train_xgb_ray_tune pid=1476150)[0m [419]	train-mlogloss:0.63802	validation-mlogloss:0.57924
[36m(train_xgb_ray_tune pid=1476150)[0m [420]	train-mlogloss:0.63802	validation-mlogloss:0.57924
[36m(train_xgb_ray_tune pid=1476150)[0m [421]	train-mlogloss:0.63802	validation-mlogloss:0.57924
[36m(train_xgb_ray_tune pid=1476165)[0m [403]	train-mlogloss:0.74577	validation-mlogloss:0.70557
[36m(train_xgb_ray_tune pid=1476165)[0m [404]	train-mlogloss:0.74536	validation-mlogloss:0.70514
[36m(train_xgb_ray_tune pid=1476158)[0m [412]	train-mlogloss:1.30431	validation-mlogloss:1.29835
[36m(train_xgb_ray_tune pid=1476158)[0m [413]	train-mlogloss:1.30431	validation-mlogloss:1.29835
[36m(train_xgb_ray_tune pid=1476170)[0m [304]	train-mlogloss:0.69621	validation-mlogloss:0.64436
[36m(train_xgb_ray_tune pid=1476170)[0m [305]	train-mlogloss:0.69586	validation-mlogloss:0.64393
[36m(train_xgb_ray_tune pid=1476168)[0m [474]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476168)[0m [475]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [362]	train-mlogloss:0.68887	validation-mlogloss:0.63663
[36m(train_xgb_ray_tune pid=1476167)[0m [363]	train-mlogloss:0.68857	validation-mlogloss:0.63628
[36m(train_xgb_ray_tune pid=1476169)[0m [317]	train-mlogloss:0.63131	validation-mlogloss:0.57550
[36m(train_xgb_ray_tune pid=1476160)[0m [328]	train-mlogloss:0.69736	validation-mlogloss:0.64816
[36m(train_xgb_ray_tune pid=1476160)[0m [329]	train-mlogloss:0.69690	validation-mlogloss:0.64764
[36m(train_xgb_ray_tune pid=1476162)[0m [404]	train-mlogloss:0.67214	validation-mlogloss:0.61367
[36m(train_xgb_ray_tune pid=1476162)[0m [405]	train-mlogloss:0.67190	validation-mlogloss:0.61344
[36m(train_xgb_ray_tune pid=1476171)[0m [362]	train-mlogloss:1.05807	validation-mlogloss:1.04007
[36m(train_xgb_ray_tune pid=1476144)[0m [372]	train-mlogloss:0.67778	validation-mlogloss:0.61989
[36m(train_xgb_ray_tune pid=1476143)[0m [282]	train-mlogloss:0.66165	validation-mlogloss:0.61852
[36m(train_xgb_ray_tune pid=1476150)[0m [422]	train-mlogloss:0.63796	validation-mlogloss:0.57918
[36m(train_xgb_ray_tune pid=1476165)[0m [405]	train-mlogloss:0.74491	validation-mlogloss:0.70458
[36m(train_xgb_ray_tune pid=1476158)[0m [414]	train-mlogloss:1.30415	validation-mlogloss:1.29818
[36m(train_xgb_ray_tune pid=1476170)[0m [306]	train-mlogloss:0.69550	validation-mlogloss:0.64351
[36m(train_xgb_ray_tune pid=1476168)[0m [476]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [364]	train-mlogloss:0.68821	validation-mlogloss:0.63581
[36m(train_xgb_ray_tune pid=1476169)[0m [318]	train-mlogloss:0.63104	validation-mlogloss:0.57525
[36m(train_xgb_ray_tune pid=1476160)[0m [330]	train-mlogloss:0.69654	validation-mlogloss:0.64722
[36m(train_xgb_ray_tune pid=1476162)[0m [406]	train-mlogloss:0.67169	validation-mlogloss:0.61319
[36m(train_xgb_ray_tune pid=1476171)[0m [363]	train-mlogloss:1.05764	validation-mlogloss:1.03962
[36m(train_xgb_ray_tune pid=1476171)[0m [364]	train-mlogloss:1.05720	validation-mlogloss:1.03917
[36m(train_xgb_ray_tune pid=1476144)[0m [373]	train-mlogloss:0.67734	validation-mlogloss:0.61941
[36m(train_xgb_ray_tune pid=1476143)[0m [283]	train-mlogloss:0.66107	validation-mlogloss:0.61788
[36m(train_xgb_ray_tune pid=1476150)[0m [423]	train-mlogloss:0.63775	validation-mlogloss:0.57893
[36m(train_xgb_ray_tune pid=1476150)[0m [424]	train-mlogloss:0.63769	validation-mlogloss:0.57884
[36m(train_xgb_ray_tune pid=1476150)[0m [425]	train-mlogloss:0.63752	validation-mlogloss:0.57868
[36m(train_xgb_ray_tune pid=1476165)[0m [406]	train-mlogloss:0.74448	validation-mlogloss:0.70412
[36m(train_xgb_ray_tune pid=1476165)[0m [407]	train-mlogloss:0.74396	validation-mlogloss:0.70355
[36m(train_xgb_ray_tune pid=1476165)[0m [408]	train-mlogloss:0.74352	validation-mlogloss:0.70303
[36m(train_xgb_ray_tune pid=1476158)[0m [415]	train-mlogloss:1.30399	validation-mlogloss:1.29800
[36m(train_xgb_ray_tune pid=1476158)[0m [416]	train-mlogloss:1.30383	validation-mlogloss:1.29784
[36m(train_xgb_ray_tune pid=1476170)[0m [307]	train-mlogloss:0.69502	validation-mlogloss:0.64296
[36m(train_xgb_ray_tune pid=1476170)[0m [308]	train-mlogloss:0.69457	validation-mlogloss:0.64241
[36m(train_xgb_ray_tune pid=1476168)[0m [477]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476168)[0m [478]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [365]	train-mlogloss:0.68789	validation-mlogloss:0.63538
[36m(train_xgb_ray_tune pid=1476169)[0m [319]	train-mlogloss:0.63088	validation-mlogloss:0.57507
[36m(train_xgb_ray_tune pid=1476169)[0m [320]	train-mlogloss:0.63057	validation-mlogloss:0.57471
[36m(train_xgb_ray_tune pid=1476160)[0m [331]	train-mlogloss:0.69630	validation-mlogloss:0.64690
[36m(train_xgb_ray_tune pid=1476160)[0m [332]	train-mlogloss:0.69601	validation-mlogloss:0.64653
[36m(train_xgb_ray_tune pid=1476160)[0m [333]	train-mlogloss:0.69574	validation-mlogloss:0.64621
[36m(train_xgb_ray_tune pid=1476162)[0m [407]	train-mlogloss:0.67159	validation-mlogloss:0.61310
[36m(train_xgb_ray_tune pid=1476162)[0m [408]	train-mlogloss:0.67143	validation-mlogloss:0.61293
[36m(train_xgb_ray_tune pid=1476162)[0m [409]	train-mlogloss:0.67124	validation-mlogloss:0.61270
[36m(train_xgb_ray_tune pid=1476171)[0m [365]	train-mlogloss:1.05677	validation-mlogloss:1.03869
[36m(train_xgb_ray_tune pid=1476144)[0m [374]	train-mlogloss:0.67695	validation-mlogloss:0.61897
[36m(train_xgb_ray_tune pid=1476144)[0m [375]	train-mlogloss:0.67667	validation-mlogloss:0.61869
[36m(train_xgb_ray_tune pid=1476143)[0m [284]	train-mlogloss:0.66042	validation-mlogloss:0.61714
[36m(train_xgb_ray_tune pid=1476150)[0m [426]	train-mlogloss:0.63746	validation-mlogloss:0.57862
[36m(train_xgb_ray_tune pid=1476150)[0m [427]	train-mlogloss:0.63724	validation-mlogloss:0.57841
[36m(train_xgb_ray_tune pid=1476165)[0m [409]	train-mlogloss:0.74300	validation-mlogloss:0.70246
[36m(train_xgb_ray_tune pid=1476158)[0m [417]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476168)[0m [479]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [366]	train-mlogloss:0.68768	validation-mlogloss:0.63514
[36m(train_xgb_ray_tune pid=1476169)[0m [321]	train-mlogloss:0.63020	validation-mlogloss:0.57434
[36m(train_xgb_ray_tune pid=1476160)[0m [334]	train-mlogloss:0.69549	validation-mlogloss:0.64593
[36m(train_xgb_ray_tune pid=1476162)[0m [410]	train-mlogloss:0.67099	validation-mlogloss:0.61246
[36m(train_xgb_ray_tune pid=1476162)[0m [411]	train-mlogloss:0.67077	validation-mlogloss:0.61221
[36m(train_xgb_ray_tune pid=1476171)[0m [366]	train-mlogloss:1.05636	validation-mlogloss:1.03828
[36m(train_xgb_ray_tune pid=1476143)[0m [285]	train-mlogloss:0.65973	validation-mlogloss:0.61634
[36m(train_xgb_ray_tune pid=1476150)[0m [428]	train-mlogloss:0.63724	validation-mlogloss:0.57841
[36m(train_xgb_ray_tune pid=1476150)[0m [429]	train-mlogloss:0.63724	validation-mlogloss:0.57841
[36m(train_xgb_ray_tune pid=1476165)[0m [410]	train-mlogloss:0.74257	validation-mlogloss:0.70200
[36m(train_xgb_ray_tune pid=1476158)[0m [418]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476170)[0m [309]	train-mlogloss:0.69421	validation-mlogloss:0.64196
[36m(train_xgb_ray_tune pid=1476168)[0m [480]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476169)[0m [322]	train-mlogloss:0.62999	validation-mlogloss:0.57413
[36m(train_xgb_ray_tune pid=1476160)[0m [335]	train-mlogloss:0.69514	validation-mlogloss:0.64553
[36m(train_xgb_ray_tune pid=1476162)[0m [412]	train-mlogloss:0.67057	validation-mlogloss:0.61200
[36m(train_xgb_ray_tune pid=1476171)[0m [367]	train-mlogloss:1.05594	validation-mlogloss:1.03784
[36m(train_xgb_ray_tune pid=1476144)[0m [376]	train-mlogloss:0.67634	validation-mlogloss:0.61836
[36m(train_xgb_ray_tune pid=1476150)[0m [430]	train-mlogloss:0.63717	validation-mlogloss:0.57835
[36m(train_xgb_ray_tune pid=1476165)[0m [411]	train-mlogloss:0.74217	validation-mlogloss:0.70156
[36m(train_xgb_ray_tune pid=1476158)[0m [419]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476170)[0m [310]	train-mlogloss:0.69385	validation-mlogloss:0.64152
[36m(train_xgb_ray_tune pid=1476168)[0m [481]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [367]	train-mlogloss:0.68736	validation-mlogloss:0.63471
[36m(train_xgb_ray_tune pid=1476160)[0m [336]	train-mlogloss:0.69478	validation-mlogloss:0.64516
[36m(train_xgb_ray_tune pid=1476160)[0m [337]	train-mlogloss:0.69449	validation-mlogloss:0.64483
[36m(train_xgb_ray_tune pid=1476162)[0m [413]	train-mlogloss:0.67034	validation-mlogloss:0.61179
[36m(train_xgb_ray_tune pid=1476171)[0m [368]	train-mlogloss:1.05553	validation-mlogloss:1.03741
[36m(train_xgb_ray_tune pid=1476144)[0m [377]	train-mlogloss:0.67601	validation-mlogloss:0.61800
[36m(train_xgb_ray_tune pid=1476143)[0m [286]	train-mlogloss:0.65907	validation-mlogloss:0.61561
[36m(train_xgb_ray_tune pid=1476150)[0m [431]	train-mlogloss:0.63717	validation-mlogloss:0.57835
[36m(train_xgb_ray_tune pid=1476165)[0m [412]	train-mlogloss:0.74171	validation-mlogloss:0.70106
[36m(train_xgb_ray_tune pid=1476158)[0m [420]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476168)[0m [482]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476169)[0m [323]	train-mlogloss:0.62978	validation-mlogloss:0.57385
[36m(train_xgb_ray_tune pid=1476160)[0m [338]	train-mlogloss:0.69413	validation-mlogloss:0.64447
[36m(train_xgb_ray_tune pid=1476162)[0m [414]	train-mlogloss:0.67012	validation-mlogloss:0.61154
[36m(train_xgb_ray_tune pid=1476171)[0m [369]	train-mlogloss:1.05508	validation-mlogloss:1.03695
[36m(train_xgb_ray_tune pid=1476144)[0m [378]	train-mlogloss:0.67574	validation-mlogloss:0.61773
[36m(train_xgb_ray_tune pid=1476150)[0m [432]	train-mlogloss:0.63700	validation-mlogloss:0.57811
[36m(train_xgb_ray_tune pid=1476158)[0m [421]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476170)[0m [311]	train-mlogloss:0.69345	validation-mlogloss:0.64108
[36m(train_xgb_ray_tune pid=1476168)[0m [483]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [368]	train-mlogloss:0.68699	validation-mlogloss:0.63430
[36m(train_xgb_ray_tune pid=1476169)[0m [324]	train-mlogloss:0.62943	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476160)[0m [339]	train-mlogloss:0.69390	validation-mlogloss:0.64425
[36m(train_xgb_ray_tune pid=1476162)[0m [415]	train-mlogloss:0.66989	validation-mlogloss:0.61130
[36m(train_xgb_ray_tune pid=1476143)[0m [287]	train-mlogloss:0.65839	validation-mlogloss:0.61487
[36m(train_xgb_ray_tune pid=1476150)[0m [433]	train-mlogloss:0.63688	validation-mlogloss:0.57797
[36m(train_xgb_ray_tune pid=1476150)[0m [434]	train-mlogloss:0.63688	validation-mlogloss:0.57797
[36m(train_xgb_ray_tune pid=1476165)[0m [413]	train-mlogloss:0.74120	validation-mlogloss:0.70047
[36m(train_xgb_ray_tune pid=1476170)[0m [312]	train-mlogloss:0.69315	validation-mlogloss:0.64075
[36m(train_xgb_ray_tune pid=1476168)[0m [484]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [369]	train-mlogloss:0.68667	validation-mlogloss:0.63394

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              7.3752 │
│ time_total_s                  7.3752 │
│ training_iteration                 1 │
│ validation_accuracy          0.68477 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476162)[0m [416]	train-mlogloss:0.66965	validation-mlogloss:0.61108

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476171)[0m [370]	train-mlogloss:1.05464	validation-mlogloss:1.03650
[36m(train_xgb_ray_tune pid=1476144)[0m [379]	train-mlogloss:0.67549	validation-mlogloss:0.61741
[36m(train_xgb_ray_tune pid=1476150)[0m [435]	train-mlogloss:0.63682	validation-mlogloss:0.57794
[36m(train_xgb_ray_tune pid=1476165)[0m [414]	train-mlogloss:0.74069	validation-mlogloss:0.69986
[36m(train_xgb_ray_tune pid=1476158)[0m [422]	train-mlogloss:1.30365	validation-mlogloss:1.29764
[36m(train_xgb_ray_tune pid=1476170)[0m [313]	train-mlogloss:0.69282	validation-mlogloss:0.64036
[36m(train_xgb_ray_tune pid=1476168)[0m [485]	train-mlogloss:0.89992	validation-mlogloss:0.87312
[36m(train_xgb_ray_tune pid=1476167)[0m [370]	train-mlogloss:0.68635	validation-mlogloss:0.63354
[36m(train_xgb_ray_tune pid=1476169)[0m [325]	train-mlogloss:0.62917	validation-mlogloss:0.57327
[36m(train_xgb_ray_tune pid=1476160)[0m [340]	train-mlogloss:0.69361	validation-mlogloss:0.64394
[36m(train_xgb_ray_tune pid=1476160)[0m [341]	train-mlogloss:0.69330	validation-mlogloss:0.64361
[36m(train_xgb_ray_tune pid=1476162)[0m [417]	train-mlogloss:0.66943	validation-mlogloss:0.61087
[36m(train_xgb_ray_tune pid=1476162)[0m [418]	train-mlogloss:0.66929	validation-mlogloss:0.61066
[36m(train_xgb_ray_tune pid=1476171)[0m [371]	train-mlogloss:1.05438	validation-mlogloss:1.03621
[36m(train_xgb_ray_tune pid=1476144)[0m [380]	train-mlogloss:0.67526	validation-mlogloss:0.61714
[36m(train_xgb_ray_tune pid=1476143)[0m [288]	train-mlogloss:0.65778	validation-mlogloss:0.61418
[36m(train_xgb_ray_tune pid=1476150)[0m [436]	train-mlogloss:0.63682	validation-mlogloss:0.57794
[36m(train_xgb_ray_tune pid=1476150)[0m [437]	train-mlogloss:0.63682	validation-mlogloss:0.57794
[36m(train_xgb_ray_tune pid=1476165)[0m [415]	train-mlogloss:0.74021	validation-mlogloss:0.69933
[36m(train_xgb_ray_tune pid=1476158)[0m [423]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476158)[0m [424]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476170)[0m [314]	train-mlogloss:0.69246	validation-mlogloss:0.63992
[36m(train_xgb_ray_tune pid=1476167)[0m [371]	train-mlogloss:0.68615	validation-mlogloss:0.63329
[36m(train_xgb_ray_tune pid=1476169)[0m [326]	train-mlogloss:0.62893	validation-mlogloss:0.57303
[36m(train_xgb_ray_tune pid=1476162)[0m [419]	train-mlogloss:0.66916	validation-mlogloss:0.61051
[36m(train_xgb_ray_tune pid=1476171)[0m [372]	train-mlogloss:1.05411	validation-mlogloss:1.03592
[36m(train_xgb_ray_tune pid=1476171)[0m [373]	train-mlogloss:1.05371	validation-mlogloss:1.03550
[36m(train_xgb_ray_tune pid=1476144)[0m [381]	train-mlogloss:0.67497	validation-mlogloss:0.61677
[36m(train_xgb_ray_tune pid=1476143)[0m [289]	train-mlogloss:0.65722	validation-mlogloss:0.61350
[36m(train_xgb_ray_tune pid=1476150)[0m [438]	train-mlogloss:0.63682	validation-mlogloss:0.57794
[36m(train_xgb_ray_tune pid=1476150)[0m [439]	train-mlogloss:0.63676	validation-mlogloss:0.57786
[36m(train_xgb_ray_tune pid=1476165)[0m [416]	train-mlogloss:0.73979	validation-mlogloss:0.69882
[36m(train_xgb_ray_tune pid=1476158)[0m [425]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476167)[0m [372]	train-mlogloss:0.68582	validation-mlogloss:0.63286
[36m(train_xgb_ray_tune pid=1476169)[0m [327]	train-mlogloss:0.62863	validation-mlogloss:0.57270
[36m(train_xgb_ray_tune pid=1476162)[0m [420]	train-mlogloss:0.66890	validation-mlogloss:0.61019
[36m(train_xgb_ray_tune pid=1476144)[0m [382]	train-mlogloss:0.67474	validation-mlogloss:0.61647
[36m(train_xgb_ray_tune pid=1476150)[0m [440]	train-mlogloss:0.63676	validation-mlogloss:0.57786
[36m(train_xgb_ray_tune pid=1476165)[0m [417]	train-mlogloss:0.73937	validation-mlogloss:0.69834
[36m(train_xgb_ray_tune pid=1476170)[0m [315]	train-mlogloss:0.69218	validation-mlogloss:0.63955
[36m(train_xgb_ray_tune pid=1476167)[0m [373]	train-mlogloss:0.68545	validation-mlogloss:0.63249

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.56179 │
│ time_total_s                 7.56179 │
│ training_iteration                 1 │
│ validation_accuracy          0.73718 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476162)[0m [421]	train-mlogloss:0.66881	validation-mlogloss:0.61005
[36m(train_xgb_ray_tune pid=1476171)[0m [374]	train-mlogloss:1.05330	validation-mlogloss:1.03507
[36m(train_xgb_ray_tune pid=1476143)[0m [290]	train-mlogloss:0.65660	validation-mlogloss:0.61278
[36m(train_xgb_ray_tune pid=1476150)[0m [441]	train-mlogloss:0.63676	validation-mlogloss:0.57786
[36m(train_xgb_ray_tune pid=1476158)[0m [426]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476170)[0m [316]	train-mlogloss:0.69185	validation-mlogloss:0.63918
[36m(train_xgb_ray_tune pid=1476167)[0m [374]	train-mlogloss:0.68507	validation-mlogloss:0.63204
[36m(train_xgb_ray_tune pid=1476169)[0m [328]	train-mlogloss:0.62842	validation-mlogloss:0.57242

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476162)[0m [422]	train-mlogloss:0.66872	validation-mlogloss:0.60999
[36m(train_xgb_ray_tune pid=1476171)[0m [375]	train-mlogloss:1.05288	validation-mlogloss:1.03464
[36m(train_xgb_ray_tune pid=1476144)[0m [383]	train-mlogloss:0.67451	validation-mlogloss:0.61616
[36m(train_xgb_ray_tune pid=1476150)[0m [442]	train-mlogloss:0.63676	validation-mlogloss:0.57786
[36m(train_xgb_ray_tune pid=1476165)[0m [418]	train-mlogloss:0.73886	validation-mlogloss:0.69776
[36m(train_xgb_ray_tune pid=1476158)[0m [427]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476162)[0m [423]	train-mlogloss:0.66853	validation-mlogloss:0.60975
[36m(train_xgb_ray_tune pid=1476171)[0m [376]	train-mlogloss:1.05245	validation-mlogloss:1.03417
[36m(train_xgb_ray_tune pid=1476144)[0m [384]	train-mlogloss:0.67428	validation-mlogloss:0.61585
[36m(train_xgb_ray_tune pid=1476150)[0m [443]	train-mlogloss:0.63659	validation-mlogloss:0.57766
[36m(train_xgb_ray_tune pid=1476165)[0m [419]	train-mlogloss:0.73837	validation-mlogloss:0.69715
[36m(train_xgb_ray_tune pid=1476158)[0m [428]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476170)[0m [317]	train-mlogloss:0.69150	validation-mlogloss:0.63878
[36m(train_xgb_ray_tune pid=1476167)[0m [375]	train-mlogloss:0.68475	validation-mlogloss:0.63163
[36m(train_xgb_ray_tune pid=1476169)[0m [329]	train-mlogloss:0.62822	validation-mlogloss:0.57221
[36m(train_xgb_ray_tune pid=1476162)[0m [424]	train-mlogloss:0.66830	validation-mlogloss:0.60953
[36m(train_xgb_ray_tune pid=1476171)[0m [377]	train-mlogloss:1.05203	validation-mlogloss:1.03373
[36m(train_xgb_ray_tune pid=1476144)[0m [385]	train-mlogloss:0.67398	validation-mlogloss:0.61547
[36m(train_xgb_ray_tune pid=1476143)[0m [291]	train-mlogloss:0.65596	validation-mlogloss:0.61206
[36m(train_xgb_ray_tune pid=1476150)[0m [444]	train-mlogloss:0.63652	validation-mlogloss:0.57760
[36m(train_xgb_ray_tune pid=1476165)[0m [420]	train-mlogloss:0.73798	validation-mlogloss:0.69673
[36m(train_xgb_ray_tune pid=1476158)[0m [429]	train-mlogloss:1.30356	validation-mlogloss:1.29755
[36m(train_xgb_ray_tune pid=1476170)[0m [318]	train-mlogloss:0.69121	validation-mlogloss:0.63846
[36m(train_xgb_ray_tune pid=1476167)[0m [376]	train-mlogloss:0.68448	validation-mlogloss:0.63136
[36m(train_xgb_ray_tune pid=1476169)[0m [330]	train-mlogloss:0.62803	validation-mlogloss:0.57201
[36m(train_xgb_ray_tune pid=1476162)[0m [425]	train-mlogloss:0.66807	validation-mlogloss:0.60927
[36m(train_xgb_ray_tune pid=1476171)[0m [378]	train-mlogloss:1.05165	validation-mlogloss:1.03331
[36m(train_xgb_ray_tune pid=1476144)[0m [386]	train-mlogloss:0.67381	validation-mlogloss:0.61529
[36m(train_xgb_ray_tune pid=1476143)[0m [292]	train-mlogloss:0.65538	validation-mlogloss:0.61137
[36m(train_xgb_ray_tune pid=1476150)[0m [445]	train-mlogloss:0.63652	validation-mlogloss:0.57760
[36m(train_xgb_ray_tune pid=1476150)[0m [446]	train-mlogloss:0.63652	validation-mlogloss:0.57760
[36m(train_xgb_ray_tune pid=1476165)[0m [421]	train-mlogloss:0.73752	validation-mlogloss:0.69620
[36m(train_xgb_ray_tune pid=1476158)[0m [430]	train-mlogloss:1.30339	validation-mlogloss:1.29737
[36m(train_xgb_ray_tune pid=1476167)[0m [377]	train-mlogloss:0.68412	validation-mlogloss:0.63089
[36m(train_xgb_ray_tune pid=1476169)[0m [331]	train-mlogloss:0.62789	validation-mlogloss:0.57182
[36m(train_xgb_ray_tune pid=1476162)[0m [426]	train-mlogloss:0.66784	validation-mlogloss:0.60901
[36m(train_xgb_ray_tune pid=1476162)[0m [427]	train-mlogloss:0.66762	validation-mlogloss:0.60874
[36m(train_xgb_ray_tune pid=1476171)[0m [379]	train-mlogloss:1.05124	validation-mlogloss:1.03287
[36m(train_xgb_ray_tune pid=1476171)[0m [380]	train-mlogloss:1.05084	validation-mlogloss:1.03246
[36m(train_xgb_ray_tune pid=1476144)[0m [387]	train-mlogloss:0.67345	validation-mlogloss:0.61490
[36m(train_xgb_ray_tune pid=1476144)[0m [388]	train-mlogloss:0.67318	validation-mlogloss:0.61463
[36m(train_xgb_ray_tune pid=1476150)[0m [447]	train-mlogloss:0.63652	validation-mlogloss:0.57760
[36m(train_xgb_ray_tune pid=1476150)[0m [448]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476165)[0m [422]	train-mlogloss:0.73712	validation-mlogloss:0.69570
[36m(train_xgb_ray_tune pid=1476158)[0m [431]	train-mlogloss:1.30339	validation-mlogloss:1.29737
[36m(train_xgb_ray_tune pid=1476158)[0m [432]	train-mlogloss:1.30323	validation-mlogloss:1.29719
[36m(train_xgb_ray_tune pid=1476170)[0m [319]	train-mlogloss:0.69087	validation-mlogloss:0.63804
[36m(train_xgb_ray_tune pid=1476167)[0m [378]	train-mlogloss:0.68384	validation-mlogloss:0.63054
[36m(train_xgb_ray_tune pid=1476169)[0m [332]	train-mlogloss:0.62768	validation-mlogloss:0.57156
[36m(train_xgb_ray_tune pid=1476162)[0m [428]	train-mlogloss:0.66740	validation-mlogloss:0.60853
[36m(train_xgb_ray_tune pid=1476171)[0m [381]	train-mlogloss:1.05045	validation-mlogloss:1.03203
[36m(train_xgb_ray_tune pid=1476144)[0m [389]	train-mlogloss:0.67297	validation-mlogloss:0.61441
[36m(train_xgb_ray_tune pid=1476143)[0m [293]	train-mlogloss:0.65480	validation-mlogloss:0.61071
[36m(train_xgb_ray_tune pid=1476150)[0m [449]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476165)[0m [423]	train-mlogloss:0.73665	validation-mlogloss:0.69518
[36m(train_xgb_ray_tune pid=1476158)[0m [433]	train-mlogloss:1.30323	validation-mlogloss:1.29719
[36m(train_xgb_ray_tune pid=1476170)[0m [320]	train-mlogloss:0.69063	validation-mlogloss:0.63777
[36m(train_xgb_ray_tune pid=1476167)[0m [379]	train-mlogloss:0.68358	validation-mlogloss:0.63022
[36m(train_xgb_ray_tune pid=1476167)[0m [380]	train-mlogloss:0.68342	validation-mlogloss:0.63003
[36m(train_xgb_ray_tune pid=1476169)[0m [333]	train-mlogloss:0.62758	validation-mlogloss:0.57146
[36m(train_xgb_ray_tune pid=1476171)[0m [382]	train-mlogloss:1.05009	validation-mlogloss:1.03166
[36m(train_xgb_ray_tune pid=1476144)[0m [390]	train-mlogloss:0.67280	validation-mlogloss:0.61418
[36m(train_xgb_ray_tune pid=1476150)[0m [450]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476165)[0m [424]	train-mlogloss:0.73623	validation-mlogloss:0.69467
[36m(train_xgb_ray_tune pid=1476158)[0m [434]	train-mlogloss:1.30323	validation-mlogloss:1.29719
[36m(train_xgb_ray_tune pid=1476170)[0m [321]	train-mlogloss:0.69017	validation-mlogloss:0.63725
[36m(train_xgb_ray_tune pid=1476167)[0m [381]	train-mlogloss:0.68304	validation-mlogloss:0.62959
[36m(train_xgb_ray_tune pid=1476162)[0m [429]	train-mlogloss:0.66718	validation-mlogloss:0.60823
[36m(train_xgb_ray_tune pid=1476171)[0m [383]	train-mlogloss:1.04970	validation-mlogloss:1.03124
[36m(train_xgb_ray_tune pid=1476144)[0m [391]	train-mlogloss:0.67257	validation-mlogloss:0.61391
[36m(train_xgb_ray_tune pid=1476143)[0m [294]	train-mlogloss:0.65417	validation-mlogloss:0.61000
[36m(train_xgb_ray_tune pid=1476150)[0m [451]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476165)[0m [425]	train-mlogloss:0.73573	validation-mlogloss:0.69409
[36m(train_xgb_ray_tune pid=1476158)[0m [435]	train-mlogloss:1.30305	validation-mlogloss:1.29701
[36m(train_xgb_ray_tune pid=1476167)[0m [382]	train-mlogloss:0.68280	validation-mlogloss:0.62936
[36m(train_xgb_ray_tune pid=1476169)[0m [334]	train-mlogloss:0.62734	validation-mlogloss:0.57118
[36m(train_xgb_ray_tune pid=1476162)[0m [430]	train-mlogloss:0.66700	validation-mlogloss:0.60800
[36m(train_xgb_ray_tune pid=1476171)[0m [384]	train-mlogloss:1.04929	validation-mlogloss:1.03080
[36m(train_xgb_ray_tune pid=1476150)[0m [452]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476150)[0m [453]	train-mlogloss:0.63641	validation-mlogloss:0.57751
[36m(train_xgb_ray_tune pid=1476165)[0m [426]	train-mlogloss:0.73522	validation-mlogloss:0.69349
[36m(train_xgb_ray_tune pid=1476170)[0m [322]	train-mlogloss:0.68984	validation-mlogloss:0.63683
[36m(train_xgb_ray_tune pid=1476167)[0m [383]	train-mlogloss:0.68254	validation-mlogloss:0.62907
[36m(train_xgb_ray_tune pid=1476162)[0m [431]	train-mlogloss:0.66678	validation-mlogloss:0.60775
[36m(train_xgb_ray_tune pid=1476171)[0m [385]	train-mlogloss:1.04889	validation-mlogloss:1.03038
[36m(train_xgb_ray_tune pid=1476144)[0m [392]	train-mlogloss:0.67231	validation-mlogloss:0.61366
[36m(train_xgb_ray_tune pid=1476143)[0m [295]	train-mlogloss:0.65355	validation-mlogloss:0.60933
[36m(train_xgb_ray_tune pid=1476150)[0m [454]	train-mlogloss:0.63625	validation-mlogloss:0.57734
[36m(train_xgb_ray_tune pid=1476165)[0m [427]	train-mlogloss:0.73487	validation-mlogloss:0.69308
[36m(train_xgb_ray_tune pid=1476158)[0m [436]	train-mlogloss:1.30297	validation-mlogloss:1.29691
[36m(train_xgb_ray_tune pid=1476170)[0m [323]	train-mlogloss:0.68959	validation-mlogloss:0.63653
[36m(train_xgb_ray_tune pid=1476167)[0m [384]	train-mlogloss:0.68231	validation-mlogloss:0.62876
[36m(train_xgb_ray_tune pid=1476169)[0m [335]	train-mlogloss:0.62719	validation-mlogloss:0.57099
[36m(train_xgb_ray_tune pid=1476162)[0m [432]	train-mlogloss:0.66669	validation-mlogloss:0.60765
[36m(train_xgb_ray_tune pid=1476171)[0m [386]	train-mlogloss:1.04850	validation-mlogloss:1.02996
[36m(train_xgb_ray_tune pid=1476144)[0m [393]	train-mlogloss:0.67209	validation-mlogloss:0.61341

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              7.4062 │
│ time_total_s                  7.4062 │
│ training_iteration                 1 │
│ validation_accuracy          0.72134 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476150)[0m [455]	train-mlogloss:0.63625	validation-mlogloss:0.57734
[36m(train_xgb_ray_tune pid=1476165)[0m [428]	train-mlogloss:0.73445	validation-mlogloss:0.69260
[36m(train_xgb_ray_tune pid=1476158)[0m [437]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476170)[0m [324]	train-mlogloss:0.68926	validation-mlogloss:0.63610
[36m(train_xgb_ray_tune pid=1476167)[0m [385]	train-mlogloss:0.68212	validation-mlogloss:0.62849
[36m(train_xgb_ray_tune pid=1476169)[0m [336]	train-mlogloss:0.62689	validation-mlogloss:0.57065
[36m(train_xgb_ray_tune pid=1476171)[0m [387]	train-mlogloss:1.04812	validation-mlogloss:1.02955
[36m(train_xgb_ray_tune pid=1476144)[0m [394]	train-mlogloss:0.67192	validation-mlogloss:0.61324
[36m(train_xgb_ray_tune pid=1476143)[0m [296]	train-mlogloss:0.65295	validation-mlogloss:0.60867

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476150)[0m [456]	train-mlogloss:0.63625	validation-mlogloss:0.57734
[36m(train_xgb_ray_tune pid=1476150)[0m [457]	train-mlogloss:0.63625	validation-mlogloss:0.57734
[36m(train_xgb_ray_tune pid=1476165)[0m [429]	train-mlogloss:0.73405	validation-mlogloss:0.69212
[36m(train_xgb_ray_tune pid=1476158)[0m [438]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476167)[0m [386]	train-mlogloss:0.68176	validation-mlogloss:0.62811
[36m(train_xgb_ray_tune pid=1476162)[0m [433]	train-mlogloss:0.66646	validation-mlogloss:0.60739
[36m(train_xgb_ray_tune pid=1476171)[0m [388]	train-mlogloss:1.04774	validation-mlogloss:1.02914
[36m(train_xgb_ray_tune pid=1476144)[0m [395]	train-mlogloss:0.67166	validation-mlogloss:0.61298
[36m(train_xgb_ray_tune pid=1476150)[0m [458]	train-mlogloss:0.63625	validation-mlogloss:0.57734
[36m(train_xgb_ray_tune pid=1476158)[0m [439]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476170)[0m [325]	train-mlogloss:0.68901	validation-mlogloss:0.63578
[36m(train_xgb_ray_tune pid=1476167)[0m [387]	train-mlogloss:0.68142	validation-mlogloss:0.62774
[36m(train_xgb_ray_tune pid=1476169)[0m [337]	train-mlogloss:0.62664	validation-mlogloss:0.57035
[36m(train_xgb_ray_tune pid=1476162)[0m [434]	train-mlogloss:0.66625	validation-mlogloss:0.60719
[36m(train_xgb_ray_tune pid=1476171)[0m [389]	train-mlogloss:1.04734	validation-mlogloss:1.02872
[36m(train_xgb_ray_tune pid=1476144)[0m [396]	train-mlogloss:0.67140	validation-mlogloss:0.61272
[36m(train_xgb_ray_tune pid=1476143)[0m [297]	train-mlogloss:0.65244	validation-mlogloss:0.60806
[36m(train_xgb_ray_tune pid=1476150)[0m [459]	train-mlogloss:0.63618	validation-mlogloss:0.57729
[36m(train_xgb_ray_tune pid=1476165)[0m [430]	train-mlogloss:0.73364	validation-mlogloss:0.69165
[36m(train_xgb_ray_tune pid=1476165)[0m [431]	train-mlogloss:0.73328	validation-mlogloss:0.69124
[36m(train_xgb_ray_tune pid=1476158)[0m [440]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476170)[0m [326]	train-mlogloss:0.68875	validation-mlogloss:0.63549
[36m(train_xgb_ray_tune pid=1476167)[0m [388]	train-mlogloss:0.68122	validation-mlogloss:0.62747
[36m(train_xgb_ray_tune pid=1476169)[0m [338]	train-mlogloss:0.62644	validation-mlogloss:0.57016
[36m(train_xgb_ray_tune pid=1476162)[0m [435]	train-mlogloss:0.66606	validation-mlogloss:0.60695
[36m(train_xgb_ray_tune pid=1476171)[0m [390]	train-mlogloss:1.04694	validation-mlogloss:1.02830
[36m(train_xgb_ray_tune pid=1476144)[0m [397]	train-mlogloss:0.67112	validation-mlogloss:0.61237
[36m(train_xgb_ray_tune pid=1476150)[0m [460]	train-mlogloss:0.63618	validation-mlogloss:0.57729
[36m(train_xgb_ray_tune pid=1476158)[0m [441]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476167)[0m [389]	train-mlogloss:0.68094	validation-mlogloss:0.62719
[36m(train_xgb_ray_tune pid=1476162)[0m [436]	train-mlogloss:0.66579	validation-mlogloss:0.60665
[36m(train_xgb_ray_tune pid=1476144)[0m [398]	train-mlogloss:0.67081	validation-mlogloss:0.61202
[36m(train_xgb_ray_tune pid=1476143)[0m [298]	train-mlogloss:0.65190	validation-mlogloss:0.60739
[36m(train_xgb_ray_tune pid=1476150)[0m [461]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476165)[0m [432]	train-mlogloss:0.73290	validation-mlogloss:0.69081
[36m(train_xgb_ray_tune pid=1476158)[0m [442]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476170)[0m [327]	train-mlogloss:0.68833	validation-mlogloss:0.63502
[36m(train_xgb_ray_tune pid=1476167)[0m [390]	train-mlogloss:0.68069	validation-mlogloss:0.62690
[36m(train_xgb_ray_tune pid=1476169)[0m [339]	train-mlogloss:0.62624	validation-mlogloss:0.56987
[36m(train_xgb_ray_tune pid=1476162)[0m [437]	train-mlogloss:0.66557	validation-mlogloss:0.60644
[36m(train_xgb_ray_tune pid=1476171)[0m [391]	train-mlogloss:1.04655	validation-mlogloss:1.02790
[36m(train_xgb_ray_tune pid=1476144)[0m [399]	train-mlogloss:0.67060	validation-mlogloss:0.61177
[36m(train_xgb_ray_tune pid=1476150)[0m [462]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476150)[0m [463]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476165)[0m [433]	train-mlogloss:0.73249	validation-mlogloss:0.69034
[36m(train_xgb_ray_tune pid=1476158)[0m [443]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476167)[0m [391]	train-mlogloss:0.68047	validation-mlogloss:0.62668
[36m(train_xgb_ray_tune pid=1476162)[0m [438]	train-mlogloss:0.66536	validation-mlogloss:0.60624
[36m(train_xgb_ray_tune pid=1476171)[0m [392]	train-mlogloss:1.04622	validation-mlogloss:1.02754
[36m(train_xgb_ray_tune pid=1476144)[0m [400]	train-mlogloss:0.67031	validation-mlogloss:0.61141
[36m(train_xgb_ray_tune pid=1476150)[0m [464]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476165)[0m [434]	train-mlogloss:0.73202	validation-mlogloss:0.68981
[36m(train_xgb_ray_tune pid=1476158)[0m [444]	train-mlogloss:1.30288	validation-mlogloss:1.29681
[36m(train_xgb_ray_tune pid=1476167)[0m [392]	train-mlogloss:0.68017	validation-mlogloss:0.62634
[36m(train_xgb_ray_tune pid=1476169)[0m [340]	train-mlogloss:0.62601	validation-mlogloss:0.56964
[36m(train_xgb_ray_tune pid=1476162)[0m [439]	train-mlogloss:0.66527	validation-mlogloss:0.60611
[36m(train_xgb_ray_tune pid=1476144)[0m [401]	train-mlogloss:0.67008	validation-mlogloss:0.61114
[36m(train_xgb_ray_tune pid=1476143)[0m [299]	train-mlogloss:0.65138	validation-mlogloss:0.60681
[36m(train_xgb_ray_tune pid=1476150)[0m [465]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476165)[0m [435]	train-mlogloss:0.73167	validation-mlogloss:0.68944
[36m(train_xgb_ray_tune pid=1476158)[0m [445]	train-mlogloss:1.30278	validation-mlogloss:1.29670
[36m(train_xgb_ray_tune pid=1476169)[0m [341]	train-mlogloss:0.62587	validation-mlogloss:0.56949
[36m(train_xgb_ray_tune pid=1476162)[0m [440]	train-mlogloss:0.66506	validation-mlogloss:0.60588
[36m(train_xgb_ray_tune pid=1476171)[0m [393]	train-mlogloss:1.04582	validation-mlogloss:1.02714
[36m(train_xgb_ray_tune pid=1476144)[0m [402]	train-mlogloss:0.66983	validation-mlogloss:0.61091
[36m(train_xgb_ray_tune pid=1476150)[0m [466]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476165)[0m [436]	train-mlogloss:0.73122	validation-mlogloss:0.68894
[36m(train_xgb_ray_tune pid=1476158)[0m [446]	train-mlogloss:1.30262	validation-mlogloss:1.29653
[36m(train_xgb_ray_tune pid=1476167)[0m [393]	train-mlogloss:0.67991	validation-mlogloss:0.62603
[36m(train_xgb_ray_tune pid=1476162)[0m [441]	train-mlogloss:0.66492	validation-mlogloss:0.60569
[36m(train_xgb_ray_tune pid=1476171)[0m [394]	train-mlogloss:1.04544	validation-mlogloss:1.02674
[36m(train_xgb_ray_tune pid=1476144)[0m [403]	train-mlogloss:0.66968	validation-mlogloss:0.61075
[36m(train_xgb_ray_tune pid=1476143)[0m [300]	train-mlogloss:0.65081	validation-mlogloss:0.60617
[36m(train_xgb_ray_tune pid=1476150)[0m [467]	train-mlogloss:0.63612	validation-mlogloss:0.57719
[36m(train_xgb_ray_tune pid=1476158)[0m [447]	train-mlogloss:1.30262	validation-mlogloss:1.29653
[36m(train_xgb_ray_tune pid=1476167)[0m [394]	train-mlogloss:0.67957	validation-mlogloss:0.62564
[36m(train_xgb_ray_tune pid=1476169)[0m [342]	train-mlogloss:0.62555	validation-mlogloss:0.56911
[36m(train_xgb_ray_tune pid=1476162)[0m [442]	train-mlogloss:0.66471	validation-mlogloss:0.60549
[36m(train_xgb_ray_tune pid=1476144)[0m [404]	train-mlogloss:0.66942	validation-mlogloss:0.61050
[36m(train_xgb_ray_tune pid=1476150)[0m [468]	train-mlogloss:0.63606	validation-mlogloss:0.57710
[36m(train_xgb_ray_tune pid=1476165)[0m [437]	train-mlogloss:0.73085	validation-mlogloss:0.68847
[36m(train_xgb_ray_tune pid=1476158)[0m [448]	train-mlogloss:1.30254	validation-mlogloss:1.29644
[36m(train_xgb_ray_tune pid=1476167)[0m [395]	train-mlogloss:0.67933	validation-mlogloss:0.62535

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:25. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.67583 │
│ time_total_s                 7.67583 │
│ training_iteration                 1 │
│ validation_accuracy          0.67836 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476171)[0m [395]	train-mlogloss:1.04504	validation-mlogloss:1.02630

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:25. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476143)[0m [301]	train-mlogloss:0.65037	validation-mlogloss:0.60561
[36m(train_xgb_ray_tune pid=1476150)[0m [469]	train-mlogloss:0.63606	validation-mlogloss:0.57710
[36m(train_xgb_ray_tune pid=1476165)[0m [438]	train-mlogloss:0.73050	validation-mlogloss:0.68805
[36m(train_xgb_ray_tune pid=1476158)[0m [449]	train-mlogloss:1.30254	validation-mlogloss:1.29644
[36m(train_xgb_ray_tune pid=1476167)[0m [396]	train-mlogloss:0.67907	validation-mlogloss:0.62503
[36m(train_xgb_ray_tune pid=1476169)[0m [343]	train-mlogloss:0.62532	validation-mlogloss:0.56889
[36m(train_xgb_ray_tune pid=1476162)[0m [443]	train-mlogloss:0.66458	validation-mlogloss:0.60531
[36m(train_xgb_ray_tune pid=1476171)[0m [396]	train-mlogloss:1.04470	validation-mlogloss:1.02594
[36m(train_xgb_ray_tune pid=1476144)[0m [405]	train-mlogloss:0.66927	validation-mlogloss:0.61032
[36m(train_xgb_ray_tune pid=1476150)[0m [470]	train-mlogloss:0.63606	validation-mlogloss:0.57710
[36m(train_xgb_ray_tune pid=1476165)[0m [439]	train-mlogloss:0.73017	validation-mlogloss:0.68767
[36m(train_xgb_ray_tune pid=1476158)[0m [450]	train-mlogloss:1.30237	validation-mlogloss:1.29626
[36m(train_xgb_ray_tune pid=1476167)[0m [397]	train-mlogloss:0.67878	validation-mlogloss:0.62474
[36m(train_xgb_ray_tune pid=1476162)[0m [444]	train-mlogloss:0.66437	validation-mlogloss:0.60512
[36m(train_xgb_ray_tune pid=1476144)[0m [406]	train-mlogloss:0.66897	validation-mlogloss:0.60996
[36m(train_xgb_ray_tune pid=1476150)[0m [471]	train-mlogloss:0.63584	validation-mlogloss:0.57689
[36m(train_xgb_ray_tune pid=1476165)[0m [440]	train-mlogloss:0.72984	validation-mlogloss:0.68725
[36m(train_xgb_ray_tune pid=1476169)[0m [344]	train-mlogloss:0.62499	validation-mlogloss:0.56851
[36m(train_xgb_ray_tune pid=1476162)[0m [445]	train-mlogloss:0.66419	validation-mlogloss:0.60491
[36m(train_xgb_ray_tune pid=1476171)[0m [397]	train-mlogloss:1.04433	validation-mlogloss:1.02555
[36m(train_xgb_ray_tune pid=1476144)[0m [407]	train-mlogloss:0.66867	validation-mlogloss:0.60968
[36m(train_xgb_ray_tune pid=1476143)[0m [302]	train-mlogloss:0.64985	validation-mlogloss:0.60497
[36m(train_xgb_ray_tune pid=1476150)[0m [472]	train-mlogloss:0.63584	validation-mlogloss:0.57689
[36m(train_xgb_ray_tune pid=1476158)[0m [451]	train-mlogloss:1.30237	validation-mlogloss:1.29626
[36m(train_xgb_ray_tune pid=1476167)[0m [398]	train-mlogloss:0.67856	validation-mlogloss:0.62449
[36m(train_xgb_ray_tune pid=1476171)[0m [398]	train-mlogloss:1.04401	validation-mlogloss:1.02522
[36m(train_xgb_ray_tune pid=1476150)[0m [473]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [441]	train-mlogloss:0.72945	validation-mlogloss:0.68679
[36m(train_xgb_ray_tune pid=1476158)[0m [452]	train-mlogloss:1.30237	validation-mlogloss:1.29626
[36m(train_xgb_ray_tune pid=1476167)[0m [399]	train-mlogloss:0.67834	validation-mlogloss:0.62425
[36m(train_xgb_ray_tune pid=1476169)[0m [345]	train-mlogloss:0.62490	validation-mlogloss:0.56843
[36m(train_xgb_ray_tune pid=1476144)[0m [408]	train-mlogloss:0.66838	validation-mlogloss:0.60935
[36m(train_xgb_ray_tune pid=1476143)[0m [303]	train-mlogloss:0.64938	validation-mlogloss:0.60442
[36m(train_xgb_ray_tune pid=1476150)[0m [474]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [442]	train-mlogloss:0.72907	validation-mlogloss:0.68634
[36m(train_xgb_ray_tune pid=1476158)[0m [453]	train-mlogloss:1.30237	validation-mlogloss:1.29626
[36m(train_xgb_ray_tune pid=1476167)[0m [400]	train-mlogloss:0.67808	validation-mlogloss:0.62391
[36m(train_xgb_ray_tune pid=1476171)[0m [399]	train-mlogloss:1.04363	validation-mlogloss:1.02484
[36m(train_xgb_ray_tune pid=1476144)[0m [409]	train-mlogloss:0.66817	validation-mlogloss:0.60911
[36m(train_xgb_ray_tune pid=1476150)[0m [475]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [443]	train-mlogloss:0.72869	validation-mlogloss:0.68588
[36m(train_xgb_ray_tune pid=1476158)[0m [454]	train-mlogloss:1.30237	validation-mlogloss:1.29626
[36m(train_xgb_ray_tune pid=1476169)[0m [346]	train-mlogloss:0.62467	validation-mlogloss:0.56821
[36m(train_xgb_ray_tune pid=1476144)[0m [410]	train-mlogloss:0.66797	validation-mlogloss:0.60884
[36m(train_xgb_ray_tune pid=1476150)[0m [476]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476167)[0m [401]	train-mlogloss:0.67786	validation-mlogloss:0.62366
[36m(train_xgb_ray_tune pid=1476171)[0m [400]	train-mlogloss:1.04322	validation-mlogloss:1.02440
[36m(train_xgb_ray_tune pid=1476144)[0m [411]	train-mlogloss:0.66767	validation-mlogloss:0.60858
[36m(train_xgb_ray_tune pid=1476143)[0m [304]	train-mlogloss:0.64885	validation-mlogloss:0.60378
[36m(train_xgb_ray_tune pid=1476150)[0m [477]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [444]	train-mlogloss:0.72828	validation-mlogloss:0.68545
[36m(train_xgb_ray_tune pid=1476158)[0m [455]	train-mlogloss:1.30221	validation-mlogloss:1.29609
[36m(train_xgb_ray_tune pid=1476167)[0m [402]	train-mlogloss:0.67755	validation-mlogloss:0.62336
[36m(train_xgb_ray_tune pid=1476169)[0m [347]	train-mlogloss:0.62439	validation-mlogloss:0.56790
[36m(train_xgb_ray_tune pid=1476171)[0m [401]	train-mlogloss:1.04283	validation-mlogloss:1.02397
[36m(train_xgb_ray_tune pid=1476144)[0m [412]	train-mlogloss:0.66738	validation-mlogloss:0.60823
[36m(train_xgb_ray_tune pid=1476150)[0m [478]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [445]	train-mlogloss:0.72787	validation-mlogloss:0.68496
[36m(train_xgb_ray_tune pid=1476158)[0m [456]	train-mlogloss:1.30221	validation-mlogloss:1.29609
[36m(train_xgb_ray_tune pid=1476167)[0m [403]	train-mlogloss:0.67719	validation-mlogloss:0.62287
[36m(train_xgb_ray_tune pid=1476150)[0m [479]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476158)[0m [457]	train-mlogloss:1.30221	validation-mlogloss:1.29609
[36m(train_xgb_ray_tune pid=1476169)[0m [348]	train-mlogloss:0.62416	validation-mlogloss:0.56768
[36m(train_xgb_ray_tune pid=1476171)[0m [402]	train-mlogloss:1.04246	validation-mlogloss:1.02357
[36m(train_xgb_ray_tune pid=1476144)[0m [413]	train-mlogloss:0.66713	validation-mlogloss:0.60798
[36m(train_xgb_ray_tune pid=1476143)[0m [305]	train-mlogloss:0.64825	validation-mlogloss:0.60317
[36m(train_xgb_ray_tune pid=1476150)[0m [480]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [446]	train-mlogloss:0.72747	validation-mlogloss:0.68452
[36m(train_xgb_ray_tune pid=1476158)[0m [458]	train-mlogloss:1.30213	validation-mlogloss:1.29600
[36m(train_xgb_ray_tune pid=1476167)[0m [404]	train-mlogloss:0.67699	validation-mlogloss:0.62263
[36m(train_xgb_ray_tune pid=1476144)[0m [414]	train-mlogloss:0.66688	validation-mlogloss:0.60771
[36m(train_xgb_ray_tune pid=1476150)[0m [481]	train-mlogloss:0.63570	validation-mlogloss:0.57674
[36m(train_xgb_ray_tune pid=1476165)[0m [447]	train-mlogloss:0.72705	validation-mlogloss:0.68404
[36m(train_xgb_ray_tune pid=1476169)[0m [349]	train-mlogloss:0.62397	validation-mlogloss:0.56746

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.36105 │
│ time_total_s                 7.36105 │
│ training_iteration                 1 │
│ validation_accuracy          0.72851 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476171)[0m [403]	train-mlogloss:1.04222	validation-mlogloss:1.02331
[36m(train_xgb_ray_tune pid=1476144)[0m [415]	train-mlogloss:0.66660	validation-mlogloss:0.60742
[36m(train_xgb_ray_tune pid=1476150)[0m [482]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476158)[0m [459]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476167)[0m [405]	train-mlogloss:0.67679	validation-mlogloss:0.62241

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476144)[0m [416]	train-mlogloss:0.66637	validation-mlogloss:0.60719
[36m(train_xgb_ray_tune pid=1476143)[0m [306]	train-mlogloss:0.64772	validation-mlogloss:0.60252
[36m(train_xgb_ray_tune pid=1476165)[0m [448]	train-mlogloss:0.72668	validation-mlogloss:0.68365
[36m(train_xgb_ray_tune pid=1476158)[0m [460]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476167)[0m [406]	train-mlogloss:0.67659	validation-mlogloss:0.62218
[36m(train_xgb_ray_tune pid=1476169)[0m [350]	train-mlogloss:0.62384	validation-mlogloss:0.56728
[36m(train_xgb_ray_tune pid=1476171)[0m [404]	train-mlogloss:1.04184	validation-mlogloss:1.02290
[36m(train_xgb_ray_tune pid=1476144)[0m [417]	train-mlogloss:0.66618	validation-mlogloss:0.60702
[36m(train_xgb_ray_tune pid=1476150)[0m [483]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476150)[0m [484]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476165)[0m [449]	train-mlogloss:0.72626	validation-mlogloss:0.68315
[36m(train_xgb_ray_tune pid=1476158)[0m [461]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476167)[0m [407]	train-mlogloss:0.67639	validation-mlogloss:0.62194
[36m(train_xgb_ray_tune pid=1476169)[0m [351]	train-mlogloss:0.62371	validation-mlogloss:0.56714
[36m(train_xgb_ray_tune pid=1476171)[0m [405]	train-mlogloss:1.04147	validation-mlogloss:1.02250
[36m(train_xgb_ray_tune pid=1476144)[0m [418]	train-mlogloss:0.66603	validation-mlogloss:0.60687
[36m(train_xgb_ray_tune pid=1476143)[0m [307]	train-mlogloss:0.64717	validation-mlogloss:0.60188
[36m(train_xgb_ray_tune pid=1476150)[0m [485]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476158)[0m [462]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476167)[0m [408]	train-mlogloss:0.67619	validation-mlogloss:0.62171
[36m(train_xgb_ray_tune pid=1476169)[0m [352]	train-mlogloss:0.62357	validation-mlogloss:0.56700
[36m(train_xgb_ray_tune pid=1476150)[0m [486]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476165)[0m [450]	train-mlogloss:0.72585	validation-mlogloss:0.68268
[36m(train_xgb_ray_tune pid=1476158)[0m [463]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476167)[0m [409]	train-mlogloss:0.67593	validation-mlogloss:0.62147
[36m(train_xgb_ray_tune pid=1476171)[0m [406]	train-mlogloss:1.04108	validation-mlogloss:1.02209
[36m(train_xgb_ray_tune pid=1476144)[0m [419]	train-mlogloss:0.66579	validation-mlogloss:0.60663
[36m(train_xgb_ray_tune pid=1476150)[0m [487]	train-mlogloss:0.63550	validation-mlogloss:0.57656
[36m(train_xgb_ray_tune pid=1476158)[0m [464]	train-mlogloss:1.30195	validation-mlogloss:1.29582
[36m(train_xgb_ray_tune pid=1476169)[0m [353]	train-mlogloss:0.62336	validation-mlogloss:0.56679
[36m(train_xgb_ray_tune pid=1476171)[0m [407]	train-mlogloss:1.04069	validation-mlogloss:1.02166
[36m(train_xgb_ray_tune pid=1476143)[0m [308]	train-mlogloss:0.64663	validation-mlogloss:0.60131
[36m(train_xgb_ray_tune pid=1476150)[0m [488]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476165)[0m [451]	train-mlogloss:0.72551	validation-mlogloss:0.68229
[36m(train_xgb_ray_tune pid=1476158)[0m [465]	train-mlogloss:1.30178	validation-mlogloss:1.29563
[36m(train_xgb_ray_tune pid=1476167)[0m [410]	train-mlogloss:0.67572	validation-mlogloss:0.62121
[36m(train_xgb_ray_tune pid=1476169)[0m [354]	train-mlogloss:0.62323	validation-mlogloss:0.56665
[36m(train_xgb_ray_tune pid=1476144)[0m [420]	train-mlogloss:0.66556	validation-mlogloss:0.60641
[36m(train_xgb_ray_tune pid=1476143)[0m [309]	train-mlogloss:0.64608	validation-mlogloss:0.60068
[36m(train_xgb_ray_tune pid=1476150)[0m [489]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476158)[0m [466]	train-mlogloss:1.30178	validation-mlogloss:1.29563
[36m(train_xgb_ray_tune pid=1476167)[0m [411]	train-mlogloss:0.67545	validation-mlogloss:0.62090
[36m(train_xgb_ray_tune pid=1476169)[0m [355]	train-mlogloss:0.62301	validation-mlogloss:0.56645
[36m(train_xgb_ray_tune pid=1476171)[0m [408]	train-mlogloss:1.04032	validation-mlogloss:1.02126
[36m(train_xgb_ray_tune pid=1476144)[0m [421]	train-mlogloss:0.66527	validation-mlogloss:0.60609
[36m(train_xgb_ray_tune pid=1476150)[0m [490]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476165)[0m [452]	train-mlogloss:0.72510	validation-mlogloss:0.68179
[36m(train_xgb_ray_tune pid=1476158)[0m [467]	train-mlogloss:1.30178	validation-mlogloss:1.29563
[36m(train_xgb_ray_tune pid=1476167)[0m [412]	train-mlogloss:0.67522	validation-mlogloss:0.62064
[36m(train_xgb_ray_tune pid=1476169)[0m [356]	train-mlogloss:0.62279	validation-mlogloss:0.56617
[36m(train_xgb_ray_tune pid=1476171)[0m [409]	train-mlogloss:1.03992	validation-mlogloss:1.02083
[36m(train_xgb_ray_tune pid=1476144)[0m [422]	train-mlogloss:0.66508	validation-mlogloss:0.60589
[36m(train_xgb_ray_tune pid=1476143)[0m [310]	train-mlogloss:0.64569	validation-mlogloss:0.60025
[36m(train_xgb_ray_tune pid=1476150)[0m [491]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476158)[0m [468]	train-mlogloss:1.30178	validation-mlogloss:1.29563
[36m(train_xgb_ray_tune pid=1476167)[0m [413]	train-mlogloss:0.67500	validation-mlogloss:0.62045
[36m(train_xgb_ray_tune pid=1476169)[0m [357]	train-mlogloss:0.62270	validation-mlogloss:0.56604
[36m(train_xgb_ray_tune pid=1476144)[0m [423]	train-mlogloss:0.66483	validation-mlogloss:0.60557
[36m(train_xgb_ray_tune pid=1476143)[0m [311]	train-mlogloss:0.64512	validation-mlogloss:0.59956
[36m(train_xgb_ray_tune pid=1476150)[0m [492]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476165)[0m [453]	train-mlogloss:0.72465	validation-mlogloss:0.68128
[36m(train_xgb_ray_tune pid=1476158)[0m [469]	train-mlogloss:1.30169	validation-mlogloss:1.29553
[36m(train_xgb_ray_tune pid=1476167)[0m [414]	train-mlogloss:0.67481	validation-mlogloss:0.62019
[36m(train_xgb_ray_tune pid=1476169)[0m [358]	train-mlogloss:0.62249	validation-mlogloss:0.56583
[36m(train_xgb_ray_tune pid=1476171)[0m [410]	train-mlogloss:1.03955	validation-mlogloss:1.02042
[36m(train_xgb_ray_tune pid=1476144)[0m [424]	train-mlogloss:0.66460	validation-mlogloss:0.60534
[36m(train_xgb_ray_tune pid=1476150)[0m [493]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476158)[0m [470]	train-mlogloss:1.30169	validation-mlogloss:1.29553
[36m(train_xgb_ray_tune pid=1476167)[0m [415]	train-mlogloss:0.67458	validation-mlogloss:0.61994
[36m(train_xgb_ray_tune pid=1476169)[0m [359]	train-mlogloss:0.62228	validation-mlogloss:0.56561
[36m(train_xgb_ray_tune pid=1476171)[0m [411]	train-mlogloss:1.03920	validation-mlogloss:1.02006
[36m(train_xgb_ray_tune pid=1476144)[0m [425]	train-mlogloss:0.66441	validation-mlogloss:0.60511
[36m(train_xgb_ray_tune pid=1476143)[0m [312]	train-mlogloss:0.64470	validation-mlogloss:0.59905
[36m(train_xgb_ray_tune pid=1476150)[0m [494]	train-mlogloss:0.63534	validation-mlogloss:0.57633
[36m(train_xgb_ray_tune pid=1476165)[0m [454]	train-mlogloss:0.72425	validation-mlogloss:0.68080
[36m(train_xgb_ray_tune pid=1476158)[0m [471]	train-mlogloss:1.30169	validation-mlogloss:1.29553
[36m(train_xgb_ray_tune pid=1476167)[0m [416]	train-mlogloss:0.67436	validation-mlogloss:0.61973
[36m(train_xgb_ray_tune pid=1476169)[0m [360]	train-mlogloss:0.62220	validation-mlogloss:0.56548
[36m(train_xgb_ray_tune pid=1476144)[0m [426]	train-mlogloss:0.66419	validation-mlogloss:0.60489
[36m(train_xgb_ray_tune pid=1476143)[0m [313]	train-mlogloss:0.64417	validation-mlogloss:0.59841
[36m(train_xgb_ray_tune pid=1476150)[0m [495]	train-mlogloss:0.63534	validation-mlogloss:0.57633

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.88566 │
│ time_total_s                 7.88566 │
│ training_iteration                 1 │
│ validation_accuracy          0.73492 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476158)[0m [472]	train-mlogloss:1.30169	validation-mlogloss:1.29553
[36m(train_xgb_ray_tune pid=1476167)[0m [417]	train-mlogloss:0.67416	validation-mlogloss:0.61945
[36m(train_xgb_ray_tune pid=1476169)[0m [361]	train-mlogloss:0.62212	validation-mlogloss:0.56535
[36m(train_xgb_ray_tune pid=1476171)[0m [412]	train-mlogloss:1.03881	validation-mlogloss:1.01964
[36m(train_xgb_ray_tune pid=1476144)[0m [427]	train-mlogloss:0.66395	validation-mlogloss:0.60465
[36m(train_xgb_ray_tune pid=1476150)[0m [496]	train-mlogloss:0.63528	validation-mlogloss:0.57628
[36m(train_xgb_ray_tune pid=1476165)[0m [455]	train-mlogloss:0.72390	validation-mlogloss:0.68040
[36m(train_xgb_ray_tune pid=1476158)[0m [473]	train-mlogloss:1.30169	validation-mlogloss:1.29553
[36m(train_xgb_ray_tune pid=1476169)[0m [362]	train-mlogloss:0.62191	validation-mlogloss:0.56508

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476171)[0m [413]	train-mlogloss:1.03856	validation-mlogloss:1.01935
[36m(train_xgb_ray_tune pid=1476143)[0m [314]	train-mlogloss:0.64363	validation-mlogloss:0.59781
[36m(train_xgb_ray_tune pid=1476150)[0m [497]	train-mlogloss:0.63528	validation-mlogloss:0.57628
[36m(train_xgb_ray_tune pid=1476167)[0m [418]	train-mlogloss:0.67397	validation-mlogloss:0.61921
[36m(train_xgb_ray_tune pid=1476144)[0m [428]	train-mlogloss:0.66387	validation-mlogloss:0.60452
[36m(train_xgb_ray_tune pid=1476150)[0m [498]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [456]	train-mlogloss:0.72345	validation-mlogloss:0.67987
[36m(train_xgb_ray_tune pid=1476158)[0m [474]	train-mlogloss:1.30152	validation-mlogloss:1.29535
[36m(train_xgb_ray_tune pid=1476167)[0m [419]	train-mlogloss:0.67378	validation-mlogloss:0.61903
[36m(train_xgb_ray_tune pid=1476169)[0m [363]	train-mlogloss:0.62168	validation-mlogloss:0.56487
[36m(train_xgb_ray_tune pid=1476171)[0m [414]	train-mlogloss:1.03820	validation-mlogloss:1.01898
[36m(train_xgb_ray_tune pid=1476144)[0m [429]	train-mlogloss:0.66378	validation-mlogloss:0.60440
[36m(train_xgb_ray_tune pid=1476143)[0m [315]	train-mlogloss:0.64308	validation-mlogloss:0.59721
[36m(train_xgb_ray_tune pid=1476150)[0m [499]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476158)[0m [475]	train-mlogloss:1.30152	validation-mlogloss:1.29535
[36m(train_xgb_ray_tune pid=1476167)[0m [420]	train-mlogloss:0.67356	validation-mlogloss:0.61882
[36m(train_xgb_ray_tune pid=1476169)[0m [364]	train-mlogloss:0.62147	validation-mlogloss:0.56467
[36m(train_xgb_ray_tune pid=1476171)[0m [415]	train-mlogloss:1.03783	validation-mlogloss:1.01861
[36m(train_xgb_ray_tune pid=1476144)[0m [430]	train-mlogloss:0.66355	validation-mlogloss:0.60417
[36m(train_xgb_ray_tune pid=1476143)[0m [316]	train-mlogloss:0.64260	validation-mlogloss:0.59663
[36m(train_xgb_ray_tune pid=1476150)[0m [500]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [457]	train-mlogloss:0.72306	validation-mlogloss:0.67940
[36m(train_xgb_ray_tune pid=1476158)[0m [476]	train-mlogloss:1.30152	validation-mlogloss:1.29535
[36m(train_xgb_ray_tune pid=1476167)[0m [421]	train-mlogloss:0.67342	validation-mlogloss:0.61862
[36m(train_xgb_ray_tune pid=1476169)[0m [365]	train-mlogloss:0.62134	validation-mlogloss:0.56451
[36m(train_xgb_ray_tune pid=1476144)[0m [431]	train-mlogloss:0.66341	validation-mlogloss:0.60397
[36m(train_xgb_ray_tune pid=1476143)[0m [317]	train-mlogloss:0.64216	validation-mlogloss:0.59611
[36m(train_xgb_ray_tune pid=1476150)[0m [501]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [458]	train-mlogloss:0.72272	validation-mlogloss:0.67900
[36m(train_xgb_ray_tune pid=1476158)[0m [477]	train-mlogloss:1.30152	validation-mlogloss:1.29535
[36m(train_xgb_ray_tune pid=1476167)[0m [422]	train-mlogloss:0.67317	validation-mlogloss:0.61835
[36m(train_xgb_ray_tune pid=1476169)[0m [366]	train-mlogloss:0.62114	validation-mlogloss:0.56427
[36m(train_xgb_ray_tune pid=1476171)[0m [416]	train-mlogloss:1.03747	validation-mlogloss:1.01825
[36m(train_xgb_ray_tune pid=1476144)[0m [432]	train-mlogloss:0.66332	validation-mlogloss:0.60389
[36m(train_xgb_ray_tune pid=1476150)[0m [502]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [459]	train-mlogloss:0.72231	validation-mlogloss:0.67853
[36m(train_xgb_ray_tune pid=1476158)[0m [478]	train-mlogloss:1.30143	validation-mlogloss:1.29525
[36m(train_xgb_ray_tune pid=1476167)[0m [423]	train-mlogloss:0.67298	validation-mlogloss:0.61814
[36m(train_xgb_ray_tune pid=1476169)[0m [367]	train-mlogloss:0.62106	validation-mlogloss:0.56420
[36m(train_xgb_ray_tune pid=1476171)[0m [417]	train-mlogloss:1.03722	validation-mlogloss:1.01799
[36m(train_xgb_ray_tune pid=1476144)[0m [433]	train-mlogloss:0.66311	validation-mlogloss:0.60368
[36m(train_xgb_ray_tune pid=1476143)[0m [318]	train-mlogloss:0.64166	validation-mlogloss:0.59555
[36m(train_xgb_ray_tune pid=1476150)[0m [503]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476169)[0m [368]	train-mlogloss:0.62093	validation-mlogloss:0.56402
[36m(train_xgb_ray_tune pid=1476171)[0m [418]	train-mlogloss:1.03687	validation-mlogloss:1.01762
[36m(train_xgb_ray_tune pid=1476150)[0m [504]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [460]	train-mlogloss:0.72190	validation-mlogloss:0.67805
[36m(train_xgb_ray_tune pid=1476158)[0m [479]	train-mlogloss:1.30143	validation-mlogloss:1.29525
[36m(train_xgb_ray_tune pid=1476167)[0m [424]	train-mlogloss:0.67280	validation-mlogloss:0.61795
[36m(train_xgb_ray_tune pid=1476144)[0m [434]	train-mlogloss:0.66289	validation-mlogloss:0.60342
[36m(train_xgb_ray_tune pid=1476143)[0m [319]	train-mlogloss:0.64121	validation-mlogloss:0.59501
[36m(train_xgb_ray_tune pid=1476150)[0m [505]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [461]	train-mlogloss:0.72159	validation-mlogloss:0.67767
[36m(train_xgb_ray_tune pid=1476158)[0m [480]	train-mlogloss:1.30143	validation-mlogloss:1.29525
[36m(train_xgb_ray_tune pid=1476167)[0m [425]	train-mlogloss:0.67258	validation-mlogloss:0.61773
[36m(train_xgb_ray_tune pid=1476169)[0m [369]	train-mlogloss:0.62073	validation-mlogloss:0.56383
[36m(train_xgb_ray_tune pid=1476171)[0m [419]	train-mlogloss:1.03648	validation-mlogloss:1.01722
[36m(train_xgb_ray_tune pid=1476144)[0m [435]	train-mlogloss:0.66267	validation-mlogloss:0.60315
[36m(train_xgb_ray_tune pid=1476143)[0m [320]	train-mlogloss:0.64082	validation-mlogloss:0.59456
[36m(train_xgb_ray_tune pid=1476150)[0m [506]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [462]	train-mlogloss:0.72118	validation-mlogloss:0.67720
[36m(train_xgb_ray_tune pid=1476158)[0m [481]	train-mlogloss:1.30143	validation-mlogloss:1.29525
[36m(train_xgb_ray_tune pid=1476167)[0m [426]	train-mlogloss:0.67237	validation-mlogloss:0.61749
[36m(train_xgb_ray_tune pid=1476169)[0m [370]	train-mlogloss:0.62053	validation-mlogloss:0.56361
[36m(train_xgb_ray_tune pid=1476171)[0m [420]	train-mlogloss:1.03612	validation-mlogloss:1.01683
[36m(train_xgb_ray_tune pid=1476144)[0m [436]	train-mlogloss:0.66244	validation-mlogloss:0.60294
[36m(train_xgb_ray_tune pid=1476150)[0m [507]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476158)[0m [482]	train-mlogloss:1.30143	validation-mlogloss:1.29525
[36m(train_xgb_ray_tune pid=1476169)[0m [371]	train-mlogloss:0.62045	validation-mlogloss:0.56354
[36m(train_xgb_ray_tune pid=1476143)[0m [321]	train-mlogloss:0.64033	validation-mlogloss:0.59404
[36m(train_xgb_ray_tune pid=1476150)[0m [508]	train-mlogloss:0.63522	validation-mlogloss:0.57622
[36m(train_xgb_ray_tune pid=1476165)[0m [463]	train-mlogloss:0.72084	validation-mlogloss:0.67682
[36m(train_xgb_ray_tune pid=1476158)[0m [483]	train-mlogloss:1.30135	validation-mlogloss:1.29516
[36m(train_xgb_ray_tune pid=1476167)[0m [427]	train-mlogloss:0.67218	validation-mlogloss:0.61727
[36m(train_xgb_ray_tune pid=1476169)[0m [372]	train-mlogloss:0.62038	validation-mlogloss:0.56347
[36m(train_xgb_ray_tune pid=1476144)[0m [437]	train-mlogloss:0.66225	validation-mlogloss:0.60271
[36m(train_xgb_ray_tune pid=1476143)[0m [322]	train-mlogloss:0.63993	validation-mlogloss:0.59351
[36m(train_xgb_ray_tune pid=1476150)[0m [509]	train-mlogloss:0.63516	validation-mlogloss:0.57613
[36m(train_xgb_ray_tune pid=1476165)[0m [464]	train-mlogloss:0.72052	validation-mlogloss:0.67644
[36m(train_xgb_ray_tune pid=1476158)[0m [484]	train-mlogloss:1.30117	validation-mlogloss:1.29497
[36m(train_xgb_ray_tune pid=1476167)[0m [428]	train-mlogloss:0.67194	validation-mlogloss:0.61698
[36m(train_xgb_ray_tune pid=1476169)[0m [373]	train-mlogloss:0.62031	validation-mlogloss:0.56335
[36m(train_xgb_ray_tune pid=1476144)[0m [438]	train-mlogloss:0.66203	validation-mlogloss:0.60245
[36m(train_xgb_ray_tune pid=1476158)[0m [485]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [429]	train-mlogloss:0.67177	validation-mlogloss:0.61671
[36m(train_xgb_ray_tune pid=1476169)[0m [374]	train-mlogloss:0.62011	validation-mlogloss:0.56313
[36m(train_xgb_ray_tune pid=1476144)[0m [439]	train-mlogloss:0.66194	validation-mlogloss:0.60237
[36m(train_xgb_ray_tune pid=1476143)[0m [323]	train-mlogloss:0.63949	validation-mlogloss:0.59299
[36m(train_xgb_ray_tune pid=1476150)[0m [510]	train-mlogloss:0.63510	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [465]	train-mlogloss:0.72011	validation-mlogloss:0.67594
[36m(train_xgb_ray_tune pid=1476158)[0m [486]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [430]	train-mlogloss:0.67158	validation-mlogloss:0.61646
[36m(train_xgb_ray_tune pid=1476169)[0m [375]	train-mlogloss:0.62003	validation-mlogloss:0.56301
[36m(train_xgb_ray_tune pid=1476144)[0m [440]	train-mlogloss:0.66172	validation-mlogloss:0.60215
[36m(train_xgb_ray_tune pid=1476150)[0m [511]	train-mlogloss:0.63510	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [466]	train-mlogloss:0.71971	validation-mlogloss:0.67547
[36m(train_xgb_ray_tune pid=1476158)[0m [487]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [431]	train-mlogloss:0.67134	validation-mlogloss:0.61619
[36m(train_xgb_ray_tune pid=1476143)[0m [324]	train-mlogloss:0.63906	validation-mlogloss:0.59244
[36m(train_xgb_ray_tune pid=1476150)[0m [512]	train-mlogloss:0.63510	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [467]	train-mlogloss:0.71939	validation-mlogloss:0.67510
[36m(train_xgb_ray_tune pid=1476169)[0m [376]	train-mlogloss:0.61991	validation-mlogloss:0.56284
[36m(train_xgb_ray_tune pid=1476144)[0m [441]	train-mlogloss:0.66150	validation-mlogloss:0.60194
[36m(train_xgb_ray_tune pid=1476143)[0m [325]	train-mlogloss:0.63872	validation-mlogloss:0.59209
[36m(train_xgb_ray_tune pid=1476150)[0m [513]	train-mlogloss:0.63510	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476158)[0m [488]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [432]	train-mlogloss:0.67116	validation-mlogloss:0.61598
[36m(train_xgb_ray_tune pid=1476144)[0m [442]	train-mlogloss:0.66137	validation-mlogloss:0.60175
[36m(train_xgb_ray_tune pid=1476150)[0m [514]	train-mlogloss:0.63510	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [468]	train-mlogloss:0.71909	validation-mlogloss:0.67473
[36m(train_xgb_ray_tune pid=1476158)[0m [489]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [433]	train-mlogloss:0.67087	validation-mlogloss:0.61572
[36m(train_xgb_ray_tune pid=1476169)[0m [377]	train-mlogloss:0.61983	validation-mlogloss:0.56277
[36m(train_xgb_ray_tune pid=1476144)[0m [443]	train-mlogloss:0.66129	validation-mlogloss:0.60163
[36m(train_xgb_ray_tune pid=1476143)[0m [326]	train-mlogloss:0.63821	validation-mlogloss:0.59158
[36m(train_xgb_ray_tune pid=1476150)[0m [515]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [469]	train-mlogloss:0.71878	validation-mlogloss:0.67436
[36m(train_xgb_ray_tune pid=1476158)[0m [490]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476167)[0m [434]	train-mlogloss:0.67065	validation-mlogloss:0.61545
[36m(train_xgb_ray_tune pid=1476150)[0m [516]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476158)[0m [491]	train-mlogloss:1.30107	validation-mlogloss:1.29486
[36m(train_xgb_ray_tune pid=1476169)[0m [378]	train-mlogloss:0.61964	validation-mlogloss:0.56255
[36m(train_xgb_ray_tune pid=1476144)[0m [444]	train-mlogloss:0.66109	validation-mlogloss:0.60136
[36m(train_xgb_ray_tune pid=1476143)[0m [327]	train-mlogloss:0.63783	validation-mlogloss:0.59115
[36m(train_xgb_ray_tune pid=1476150)[0m [517]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [470]	train-mlogloss:0.71837	validation-mlogloss:0.67386
[36m(train_xgb_ray_tune pid=1476167)[0m [435]	train-mlogloss:0.67044	validation-mlogloss:0.61520
[36m(train_xgb_ray_tune pid=1476144)[0m [445]	train-mlogloss:0.66087	validation-mlogloss:0.60117
[36m(train_xgb_ray_tune pid=1476143)[0m [328]	train-mlogloss:0.63744	validation-mlogloss:0.59070
[36m(train_xgb_ray_tune pid=1476150)[0m [518]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [471]	train-mlogloss:0.71800	validation-mlogloss:0.67342
[36m(train_xgb_ray_tune pid=1476158)[0m [492]	train-mlogloss:1.30089	validation-mlogloss:1.29467
[36m(train_xgb_ray_tune pid=1476167)[0m [436]	train-mlogloss:0.67032	validation-mlogloss:0.61502
[36m(train_xgb_ray_tune pid=1476144)[0m [446]	train-mlogloss:0.66079	validation-mlogloss:0.60105
[36m(train_xgb_ray_tune pid=1476150)[0m [519]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476158)[0m [493]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476167)[0m [437]	train-mlogloss:0.67014	validation-mlogloss:0.61478
[36m(train_xgb_ray_tune pid=1476144)[0m [447]	train-mlogloss:0.66071	validation-mlogloss:0.60097
[36m(train_xgb_ray_tune pid=1476143)[0m [329]	train-mlogloss:0.63691	validation-mlogloss:0.59005
[36m(train_xgb_ray_tune pid=1476150)[0m [520]	train-mlogloss:0.63509	validation-mlogloss:0.57607
[36m(train_xgb_ray_tune pid=1476165)[0m [472]	train-mlogloss:0.71763	validation-mlogloss:0.67298
[36m(train_xgb_ray_tune pid=1476158)[0m [494]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476169)[0m [379]	train-mlogloss:0.61939	validation-mlogloss:0.56227
[36m(train_xgb_ray_tune pid=1476158)[0m [495]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476167)[0m [438]	train-mlogloss:0.66998	validation-mlogloss:0.61458
[36m(train_xgb_ray_tune pid=1476144)[0m [448]	train-mlogloss:0.66063	validation-mlogloss:0.60084
[36m(train_xgb_ray_tune pid=1476150)[0m [521]	train-mlogloss:0.63494	validation-mlogloss:0.57591
[36m(train_xgb_ray_tune pid=1476165)[0m [473]	train-mlogloss:0.71720	validation-mlogloss:0.67248
[36m(train_xgb_ray_tune pid=1476167)[0m [439]	train-mlogloss:0.66991	validation-mlogloss:0.61451
[36m(train_xgb_ray_tune pid=1476144)[0m [449]	train-mlogloss:0.66055	validation-mlogloss:0.60077
[36m(train_xgb_ray_tune pid=1476143)[0m [330]	train-mlogloss:0.63648	validation-mlogloss:0.58956
[36m(train_xgb_ray_tune pid=1476150)[0m [522]	train-mlogloss:0.63494	validation-mlogloss:0.57591
[36m(train_xgb_ray_tune pid=1476165)[0m [474]	train-mlogloss:0.71690	validation-mlogloss:0.67210
[36m(train_xgb_ray_tune pid=1476158)[0m [496]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476169)[0m [380]	train-mlogloss:0.61931	validation-mlogloss:0.56221
[36m(train_xgb_ray_tune pid=1476144)[0m [450]	train-mlogloss:0.66042	validation-mlogloss:0.60060
[36m(train_xgb_ray_tune pid=1476143)[0m [331]	train-mlogloss:0.63605	validation-mlogloss:0.58906
[36m(train_xgb_ray_tune pid=1476150)[0m [523]	train-mlogloss:0.63494	validation-mlogloss:0.57591
[36m(train_xgb_ray_tune pid=1476158)[0m [497]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476167)[0m [440]	train-mlogloss:0.66970	validation-mlogloss:0.61431
[36m(train_xgb_ray_tune pid=1476165)[0m [475]	train-mlogloss:0.71659	validation-mlogloss:0.67172
[36m(train_xgb_ray_tune pid=1476158)[0m [498]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476167)[0m [441]	train-mlogloss:0.66953	validation-mlogloss:0.61412
[36m(train_xgb_ray_tune pid=1476169)[0m [381]	train-mlogloss:0.61924	validation-mlogloss:0.56214
[36m(train_xgb_ray_tune pid=1476144)[0m [451]	train-mlogloss:0.66028	validation-mlogloss:0.60046
[36m(train_xgb_ray_tune pid=1476143)[0m [332]	train-mlogloss:0.63561	validation-mlogloss:0.58860
[36m(train_xgb_ray_tune pid=1476150)[0m [524]	train-mlogloss:0.63494	validation-mlogloss:0.57591
[36m(train_xgb_ray_tune pid=1476165)[0m [476]	train-mlogloss:0.71630	validation-mlogloss:0.67138
[36m(train_xgb_ray_tune pid=1476158)[0m [499]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476167)[0m [442]	train-mlogloss:0.66932	validation-mlogloss:0.61388
[36m(train_xgb_ray_tune pid=1476169)[0m [382]	train-mlogloss:0.61916	validation-mlogloss:0.56201
[36m(train_xgb_ray_tune pid=1476144)[0m [452]	train-mlogloss:0.66007	validation-mlogloss:0.60025
[36m(train_xgb_ray_tune pid=1476150)[0m [525]	train-mlogloss:0.63479	validation-mlogloss:0.57576
[36m(train_xgb_ray_tune pid=1476158)[0m [500]	train-mlogloss:1.30081	validation-mlogloss:1.29458
[36m(train_xgb_ray_tune pid=1476144)[0m [453]	train-mlogloss:0.65983	validation-mlogloss:0.60002
[36m(train_xgb_ray_tune pid=1476143)[0m [333]	train-mlogloss:0.63515	validation-mlogloss:0.58809
[36m(train_xgb_ray_tune pid=1476150)[0m [526]	train-mlogloss:0.63479	validation-mlogloss:0.57576
[36m(train_xgb_ray_tune pid=1476165)[0m [477]	train-mlogloss:0.71595	validation-mlogloss:0.67096
[36m(train_xgb_ray_tune pid=1476158)[0m [501]	train-mlogloss:1.30072	validation-mlogloss:1.29448
[36m(train_xgb_ray_tune pid=1476167)[0m [443]	train-mlogloss:0.66916	validation-mlogloss:0.61369
[36m(train_xgb_ray_tune pid=1476169)[0m [383]	train-mlogloss:0.61897	validation-mlogloss:0.56181
[36m(train_xgb_ray_tune pid=1476144)[0m [454]	train-mlogloss:0.65965	validation-mlogloss:0.59981
[36m(train_xgb_ray_tune pid=1476143)[0m [334]	train-mlogloss:0.63477	validation-mlogloss:0.58765
[36m(train_xgb_ray_tune pid=1476150)[0m [527]	train-mlogloss:0.63479	validation-mlogloss:0.57576
[36m(train_xgb_ray_tune pid=1476165)[0m [478]	train-mlogloss:0.71565	validation-mlogloss:0.67064
[36m(train_xgb_ray_tune pid=1476158)[0m [502]	train-mlogloss:1.30072	validation-mlogloss:1.29448
[36m(train_xgb_ray_tune pid=1476167)[0m [444]	train-mlogloss:0.66896	validation-mlogloss:0.61349
[36m(train_xgb_ray_tune pid=1476150)[0m [528]	train-mlogloss:0.63473	validation-mlogloss:0.57571
[36m(train_xgb_ray_tune pid=1476167)[0m [445]	train-mlogloss:0.66878	validation-mlogloss:0.61328
[36m(train_xgb_ray_tune pid=1476169)[0m [384]	train-mlogloss:0.61890	validation-mlogloss:0.56169
[36m(train_xgb_ray_tune pid=1476144)[0m [455]	train-mlogloss:0.65957	validation-mlogloss:0.59974
[36m(train_xgb_ray_tune pid=1476143)[0m [335]	train-mlogloss:0.63438	validation-mlogloss:0.58720
[36m(train_xgb_ray_tune pid=1476150)[0m [529]	train-mlogloss:0.63473	validation-mlogloss:0.57571
[36m(train_xgb_ray_tune pid=1476165)[0m [479]	train-mlogloss:0.71524	validation-mlogloss:0.67018
[36m(train_xgb_ray_tune pid=1476158)[0m [503]	train-mlogloss:1.30072	validation-mlogloss:1.29448
[36m(train_xgb_ray_tune pid=1476167)[0m [446]	train-mlogloss:0.66859	validation-mlogloss:0.61303
[36m(train_xgb_ray_tune pid=1476169)[0m [385]	train-mlogloss:0.61882	validation-mlogloss:0.56163
[36m(train_xgb_ray_tune pid=1476144)[0m [456]	train-mlogloss:0.65949	validation-mlogloss:0.59966
[36m(train_xgb_ray_tune pid=1476143)[0m [336]	train-mlogloss:0.63396	validation-mlogloss:0.58671
[36m(train_xgb_ray_tune pid=1476150)[0m [530]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [480]	train-mlogloss:0.71491	validation-mlogloss:0.66983
[36m(train_xgb_ray_tune pid=1476158)[0m [504]	train-mlogloss:1.30058	validation-mlogloss:1.29432
[36m(train_xgb_ray_tune pid=1476167)[0m [447]	train-mlogloss:0.66848	validation-mlogloss:0.61292
[36m(train_xgb_ray_tune pid=1476169)[0m [386]	train-mlogloss:0.61875	validation-mlogloss:0.56151
[36m(train_xgb_ray_tune pid=1476144)[0m [457]	train-mlogloss:0.65924	validation-mlogloss:0.59936
[36m(train_xgb_ray_tune pid=1476150)[0m [531]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [481]	train-mlogloss:0.71460	validation-mlogloss:0.66945
[36m(train_xgb_ray_tune pid=1476158)[0m [505]	train-mlogloss:1.30058	validation-mlogloss:1.29432
[36m(train_xgb_ray_tune pid=1476167)[0m [448]	train-mlogloss:0.66832	validation-mlogloss:0.61276
[36m(train_xgb_ray_tune pid=1476169)[0m [387]	train-mlogloss:0.61868	validation-mlogloss:0.56144
[36m(train_xgb_ray_tune pid=1476144)[0m [458]	train-mlogloss:0.65916	validation-mlogloss:0.59925
[36m(train_xgb_ray_tune pid=1476143)[0m [337]	train-mlogloss:0.63355	validation-mlogloss:0.58623
[36m(train_xgb_ray_tune pid=1476150)[0m [532]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476158)[0m [506]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476169)[0m [388]	train-mlogloss:0.61862	validation-mlogloss:0.56138
[36m(train_xgb_ray_tune pid=1476144)[0m [459]	train-mlogloss:0.65895	validation-mlogloss:0.59905
[36m(train_xgb_ray_tune pid=1476150)[0m [533]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [482]	train-mlogloss:0.71425	validation-mlogloss:0.66903
[36m(train_xgb_ray_tune pid=1476158)[0m [507]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476167)[0m [449]	train-mlogloss:0.66813	validation-mlogloss:0.61253
[36m(train_xgb_ray_tune pid=1476169)[0m [389]	train-mlogloss:0.61855	validation-mlogloss:0.56131
[36m(train_xgb_ray_tune pid=1476144)[0m [460]	train-mlogloss:0.65888	validation-mlogloss:0.59898
[36m(train_xgb_ray_tune pid=1476143)[0m [338]	train-mlogloss:0.63320	validation-mlogloss:0.58588
[36m(train_xgb_ray_tune pid=1476150)[0m [534]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [483]	train-mlogloss:0.71390	validation-mlogloss:0.66860
[36m(train_xgb_ray_tune pid=1476158)[0m [508]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476167)[0m [450]	train-mlogloss:0.66790	validation-mlogloss:0.61227
[36m(train_xgb_ray_tune pid=1476169)[0m [390]	train-mlogloss:0.61848	validation-mlogloss:0.56119

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.61692 │
│ time_total_s                 7.61692 │
│ training_iteration                 1 │
│ validation_accuracy           0.6957 │
╰──────────────────────────────────────╯
[36m(train_xgb_ray_tune pid=1476144)[0m [461]	train-mlogloss:0.65880	validation-mlogloss:0.59891

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476150)[0m [535]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [484]	train-mlogloss:0.71360	validation-mlogloss:0.66827
[36m(train_xgb_ray_tune pid=1476158)[0m [509]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476167)[0m [451]	train-mlogloss:0.66772	validation-mlogloss:0.61206
[36m(train_xgb_ray_tune pid=1476169)[0m [391]	train-mlogloss:0.61841	validation-mlogloss:0.56113
[36m(train_xgb_ray_tune pid=1476150)[0m [536]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476144)[0m [462]	train-mlogloss:0.65863	validation-mlogloss:0.59867
[36m(train_xgb_ray_tune pid=1476143)[0m [340]	train-mlogloss:0.63237	validation-mlogloss:0.58485
[36m(train_xgb_ray_tune pid=1476150)[0m [537]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [485]	train-mlogloss:0.71321	validation-mlogloss:0.66779
[36m(train_xgb_ray_tune pid=1476158)[0m [510]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476167)[0m [452]	train-mlogloss:0.66750	validation-mlogloss:0.61180
[36m(train_xgb_ray_tune pid=1476169)[0m [392]	train-mlogloss:0.61823	validation-mlogloss:0.56092
[36m(train_xgb_ray_tune pid=1476144)[0m [463]	train-mlogloss:0.65842	validation-mlogloss:0.59847
[36m(train_xgb_ray_tune pid=1476143)[0m [341]	train-mlogloss:0.63196	validation-mlogloss:0.58431
[36m(train_xgb_ray_tune pid=1476150)[0m [538]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476158)[0m [511]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476169)[0m [393]	train-mlogloss:0.61811	validation-mlogloss:0.56076
[36m(train_xgb_ray_tune pid=1476150)[0m [539]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [486]	train-mlogloss:0.71286	validation-mlogloss:0.66736
[36m(train_xgb_ray_tune pid=1476158)[0m [512]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476167)[0m [453]	train-mlogloss:0.66733	validation-mlogloss:0.61160
[36m(train_xgb_ray_tune pid=1476169)[0m [394]	train-mlogloss:0.61792	validation-mlogloss:0.56054
[36m(train_xgb_ray_tune pid=1476144)[0m [464]	train-mlogloss:0.65830	validation-mlogloss:0.59839
[36m(train_xgb_ray_tune pid=1476143)[0m [342]	train-mlogloss:0.63164	validation-mlogloss:0.58392
[36m(train_xgb_ray_tune pid=1476150)[0m [540]	train-mlogloss:0.63452	validation-mlogloss:0.57551
[36m(train_xgb_ray_tune pid=1476165)[0m [487]	train-mlogloss:0.71253	validation-mlogloss:0.66695
[36m(train_xgb_ray_tune pid=1476158)[0m [513]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476169)[0m [395]	train-mlogloss:0.61772	validation-mlogloss:0.56034
[36m(train_xgb_ray_tune pid=1476144)[0m [465]	train-mlogloss:0.65804	validation-mlogloss:0.59810
[36m(train_xgb_ray_tune pid=1476150)[0m [541]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476158)[0m [514]	train-mlogloss:1.30041	validation-mlogloss:1.29415
[36m(train_xgb_ray_tune pid=1476143)[0m [343]	train-mlogloss:0.63122	validation-mlogloss:0.58348
[36m(train_xgb_ray_tune pid=1476165)[0m [488]	train-mlogloss:0.71218	validation-mlogloss:0.66652
[36m(train_xgb_ray_tune pid=1476169)[0m [396]	train-mlogloss:0.61765	validation-mlogloss:0.56023
[36m(train_xgb_ray_tune pid=1476144)[0m [466]	train-mlogloss:0.65797	validation-mlogloss:0.59803
[36m(train_xgb_ray_tune pid=1476150)[0m [542]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476158)[0m [515]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [397]	train-mlogloss:0.61746	validation-mlogloss:0.55999
[36m(train_xgb_ray_tune pid=1476144)[0m [467]	train-mlogloss:0.65789	validation-mlogloss:0.59796
[36m(train_xgb_ray_tune pid=1476143)[0m [344]	train-mlogloss:0.63082	validation-mlogloss:0.58305
[36m(train_xgb_ray_tune pid=1476150)[0m [543]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476165)[0m [489]	train-mlogloss:0.71185	validation-mlogloss:0.66612
[36m(train_xgb_ray_tune pid=1476158)[0m [516]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476150)[0m [544]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476158)[0m [517]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [398]	train-mlogloss:0.61727	validation-mlogloss:0.55980
[36m(train_xgb_ray_tune pid=1476144)[0m [468]	train-mlogloss:0.65763	validation-mlogloss:0.59767
[36m(train_xgb_ray_tune pid=1476143)[0m [345]	train-mlogloss:0.63043	validation-mlogloss:0.58258
[36m(train_xgb_ray_tune pid=1476150)[0m [545]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476165)[0m [490]	train-mlogloss:0.71149	validation-mlogloss:0.66571
[36m(train_xgb_ray_tune pid=1476158)[0m [518]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [399]	train-mlogloss:0.61720	validation-mlogloss:0.55974
[36m(train_xgb_ray_tune pid=1476144)[0m [469]	train-mlogloss:0.65743	validation-mlogloss:0.59746
[36m(train_xgb_ray_tune pid=1476143)[0m [346]	train-mlogloss:0.63005	validation-mlogloss:0.58212
[36m(train_xgb_ray_tune pid=1476150)[0m [546]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476158)[0m [519]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [400]	train-mlogloss:0.61713	validation-mlogloss:0.55967
[36m(train_xgb_ray_tune pid=1476144)[0m [470]	train-mlogloss:0.65731	validation-mlogloss:0.59730
[36m(train_xgb_ray_tune pid=1476150)[0m [547]	train-mlogloss:0.63447	validation-mlogloss:0.57546
[36m(train_xgb_ray_tune pid=1476143)[0m [347]	train-mlogloss:0.62974	validation-mlogloss:0.58176
[36m(train_xgb_ray_tune pid=1476165)[0m [491]	train-mlogloss:0.71123	validation-mlogloss:0.66541
[36m(train_xgb_ray_tune pid=1476158)[0m [520]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [401]	train-mlogloss:0.61706	validation-mlogloss:0.55961
[36m(train_xgb_ray_tune pid=1476144)[0m [471]	train-mlogloss:0.65723	validation-mlogloss:0.59723
[36m(train_xgb_ray_tune pid=1476150)[0m [548]	train-mlogloss:0.63442	validation-mlogloss:0.57542
[36m(train_xgb_ray_tune pid=1476165)[0m [492]	train-mlogloss:0.71098	validation-mlogloss:0.66511
[36m(train_xgb_ray_tune pid=1476158)[0m [521]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [402]	train-mlogloss:0.61700	validation-mlogloss:0.55951
[36m(train_xgb_ray_tune pid=1476144)[0m [472]	train-mlogloss:0.65705	validation-mlogloss:0.59703
[36m(train_xgb_ray_tune pid=1476143)[0m [348]	train-mlogloss:0.62936	validation-mlogloss:0.58130
[36m(train_xgb_ray_tune pid=1476150)[0m [549]	train-mlogloss:0.63442	validation-mlogloss:0.57542
[36m(train_xgb_ray_tune pid=1476158)[0m [522]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476150)[0m [550]	train-mlogloss:0.63442	validation-mlogloss:0.57542
[36m(train_xgb_ray_tune pid=1476165)[0m [493]	train-mlogloss:0.71068	validation-mlogloss:0.66475
[36m(train_xgb_ray_tune pid=1476169)[0m [403]	train-mlogloss:0.61693	validation-mlogloss:0.55945
[36m(train_xgb_ray_tune pid=1476144)[0m [473]	train-mlogloss:0.65698	validation-mlogloss:0.59696
[36m(train_xgb_ray_tune pid=1476143)[0m [349]	train-mlogloss:0.62900	validation-mlogloss:0.58093
[36m(train_xgb_ray_tune pid=1476150)[0m [551]	train-mlogloss:0.63431	validation-mlogloss:0.57526
[36m(train_xgb_ray_tune pid=1476165)[0m [494]	train-mlogloss:0.71041	validation-mlogloss:0.66442
210
[36m(train_xgb_ray_tune pid=1476158)[0m [496]	train-mlogloss:1.30081	validation-mlogloss:1.29[36m(train_xgb_ray_tune pid=1476158)[0m [523]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476169)[0m [404]	train-mlogloss:0.61674	validation-mlogloss:0.55927
[36m(train_xgb_ray_tune pid=1476144)[0m [474]	train-mlogloss:0.65691	validation-mlogloss:0.59687
[36m(train_xgb_ray_tune pid=1476143)[0m [350]	train-mlogloss:0.62868	validation-mlogloss:0.58058
[36m(train_xgb_ray_tune pid=1476158)[0m [524]	train-mlogloss:1.30025	validation-mlogloss:1.29398
[36m(train_xgb_ray_tune pid=1476150)[0m [552]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476165)[0m [495]	train-mlogloss:0.71014	validation-mlogloss:0.66408
[36m(train_xgb_ray_tune pid=1476158)[0m [525]	train-mlogloss:1.30009	validation-mlogloss:1.29380
[36m(train_xgb_ray_tune pid=1476169)[0m [405]	train-mlogloss:0.61668	validation-mlogloss:0.55921
[36m(train_xgb_ray_tune pid=1476144)[0m [475]	train-mlogloss:0.65684	validation-mlogloss:0.59680
[36m(train_xgb_ray_tune pid=1476143)[0m [351]	train-mlogloss:0.62832	validation-mlogloss:0.58017
[36m(train_xgb_ray_tune pid=1476150)[0m [553]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476169)[0m [406]	train-mlogloss:0.61661	validation-mlogloss:0.55915
[36m(train_xgb_ray_tune pid=1476144)[0m [476]	train-mlogloss:0.65672	validation-mlogloss:0.59665
[36m(train_xgb_ray_tune pid=1476150)[0m [554]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476165)[0m [496]	train-mlogloss:0.70978	validation-mlogloss:0.66366
[36m(train_xgb_ray_tune pid=1476158)[0m [526]	train-mlogloss:1.29992	validation-mlogloss:1.29363
[36m(train_xgb_ray_tune pid=1476144)[0m [477]	train-mlogloss:0.65665	validation-mlogloss:0.59658
[36m(train_xgb_ray_tune pid=1476143)[0m [352]	train-mlogloss:0.62796	validation-mlogloss:0.57971
[36m(train_xgb_ray_tune pid=1476150)[0m [555]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476165)[0m [497]	train-mlogloss:0.70955	validation-mlogloss:0.66338
[36m(train_xgb_ray_tune pid=1476158)[0m [527]	train-mlogloss:1.29992	validation-mlogloss:1.29363
[36m(train_xgb_ray_tune pid=1476169)[0m [407]	train-mlogloss:0.61642	validation-mlogloss:0.55896

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 10s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.94718 │
│ time_total_s                 7.94718 │
│ training_iteration                 1 │
│ validation_accuracy          0.72813 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 10s
[36m(train_xgb_ray_tune pid=1476144)[0m [478]	train-mlogloss:0.65644	validation-mlogloss:0.59638
[36m(train_xgb_ray_tune pid=1476144)[0m [479]	train-mlogloss:0.65624	validation-mlogloss:0.59618
[36m(train_xgb_ray_tune pid=1476144)[0m [480]	train-mlogloss:0.65604	validation-mlogloss:0.59595
[36m(train_xgb_ray_tune pid=1476144)[0m [481]	train-mlogloss:0.65584	validation-mlogloss:0.59576
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[36m(train_xgb_ray_tune pid=1476144)[0m [499]	train-mlogloss:0.65435	validation-mlogloss:0.59407
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[36m(train_xgb_ray_tune pid=1476144)[0m [502]	train-mlogloss:0.65405	validation-mlogloss:0.59372
[36m(train_xgb_ray_tune pid=1476144)[0m [503]	train-mlogloss:0.65398	validation-mlogloss:0.59366
[36m(train_xgb_ray_tune pid=1476144)[0m [504]	train-mlogloss:0.65391	validation-mlogloss:0.59355
[36m(train_xgb_ray_tune pid=1476143)[0m [353]	train-mlogloss:0.62763	validation-mlogloss:0.57937
[36m(train_xgb_ray_tune pid=1476143)[0m [354]	train-mlogloss:0.62729	validation-mlogloss:0.57896
[36m(train_xgb_ray_tune pid=1476143)[0m [355]	train-mlogloss:0.62687	validation-mlogloss:0.57851
[36m(train_xgb_ray_tune pid=1476143)[0m [356]	train-mlogloss:0.62651	validation-mlogloss:0.57810
[36m(train_xgb_ray_tune pid=1476143)[0m [357]	train-mlogloss:0.62617	validation-mlogloss:0.57767
[36m(train_xgb_ray_tune pid=1476143)[0m [358]	train-mlogloss:0.62583	validation-mlogloss:0.57731
[36m(train_xgb_ray_tune pid=1476143)[0m [359]	train-mlogloss:0.62551	validation-mlogloss:0.57694
[36m(train_xgb_ray_tune pid=1476143)[0m [360]	train-mlogloss:0.62520	validation-mlogloss:0.57659
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[36m(train_xgb_ray_tune pid=1476143)[0m [365]	train-mlogloss:0.62347	validation-mlogloss:0.57460
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[36m(train_xgb_ray_tune pid=1476143)[0m [367]	train-mlogloss:0.62287	validation-mlogloss:0.57394
[36m(train_xgb_ray_tune pid=1476143)[0m [368]	train-mlogloss:0.62248	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476143)[0m [369]	train-mlogloss:0.62221	validation-mlogloss:0.57320
[36m(train_xgb_ray_tune pid=1476143)[0m [370]	train-mlogloss:0.62186	validation-mlogloss:0.57285
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[36m(train_xgb_ray_tune pid=1476143)[0m [372]	train-mlogloss:0.62125	validation-mlogloss:0.57211
[36m(train_xgb_ray_tune pid=1476150)[0m [556]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476150)[0m [557]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476150)[0m [558]	train-mlogloss:0.63425	validation-mlogloss:0.57521
[36m(train_xgb_ray_tune pid=1476150)[0m [559]	train-mlogloss:0.63425	validation-mlogloss:0.57521
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[36m(train_xgb_ray_tune pid=1476169)[0m [410]	train-mlogloss:0.61606	validation-mlogloss:0.55850
[36m(train_xgb_ray_tune pid=1476169)[0m [411]	train-mlogloss:0.61600	validation-mlogloss:0.55840
[36m(train_xgb_ray_tune pid=1476169)[0m [412]	train-mlogloss:0.61594	validation-mlogloss:0.55829
[36m(train_xgb_ray_tune pid=1476169)[0m [413]	train-mlogloss:0.61569	validation-mlogloss:0.55810
[36m(train_xgb_ray_tune pid=1476169)[0m [414]	train-mlogloss:0.61563	validation-mlogloss:0.55804
[36m(train_xgb_ray_tune pid=1476169)[0m [415]	train-mlogloss:0.61557	validation-mlogloss:0.55798
[36m(train_xgb_ray_tune pid=1476169)[0m [416]	train-mlogloss:0.61551	validation-mlogloss:0.55788
[36m(train_xgb_ray_tune pid=1476169)[0m [417]	train-mlogloss:0.61532	validation-mlogloss:0.55765
[36m(train_xgb_ray_tune pid=1476169)[0m [418]	train-mlogloss:0.61514	validation-mlogloss:0.55744
[36m(train_xgb_ray_tune pid=1476169)[0m [419]	train-mlogloss:0.61508	validation-mlogloss:0.55738
[36m(train_xgb_ray_tune pid=1476169)[0m [420]	train-mlogloss:0.61496	validation-mlogloss:0.55731
[36m(train_xgb_ray_tune pid=1476169)[0m [421]	train-mlogloss:0.61490	validation-mlogloss:0.55726
[36m(train_xgb_ray_tune pid=1476169)[0m [422]	train-mlogloss:0.61484	validation-mlogloss:0.55716
[36m(train_xgb_ray_tune pid=1476169)[0m [423]	train-mlogloss:0.61477	validation-mlogloss:0.55710
[36m(train_xgb_ray_tune pid=1476169)[0m [424]	train-mlogloss:0.61472	validation-mlogloss:0.55704
[36m(train_xgb_ray_tune pid=1476169)[0m [425]	train-mlogloss:0.61460	validation-mlogloss:0.55694
[36m(train_xgb_ray_tune pid=1476169)[0m [426]	train-mlogloss:0.61454	validation-mlogloss:0.55688
[36m(train_xgb_ray_tune pid=1476169)[0m [427]	train-mlogloss:0.61448	validation-mlogloss:0.55683
[36m(train_xgb_ray_tune pid=1476169)[0m [428]	train-mlogloss:0.61442	validation-mlogloss:0.55678
[36m(train_xgb_ray_tune pid=1476169)[0m [429]	train-mlogloss:0.61436	validation-mlogloss:0.55672
[36m(train_xgb_ray_tune pid=1476169)[0m [430]	train-mlogloss:0.61419	validation-mlogloss:0.55654
[36m(train_xgb_ray_tune pid=1476169)[0m [431]	train-mlogloss:0.61413	validation-mlogloss:0.55649
[36m(train_xgb_ray_tune pid=1476169)[0m [432]	train-mlogloss:0.61407	validation-mlogloss:0.55643
[36m(train_xgb_ray_tune pid=1476169)[0m [433]	train-mlogloss:0.61396	validation-mlogloss:0.55637
[36m(train_xgb_ray_tune pid=1476169)[0m [434]	train-mlogloss:0.61390	validation-mlogloss:0.55632
[36m(train_xgb_ray_tune pid=1476169)[0m [435]	train-mlogloss:0.61373	validation-mlogloss:0.55613
[36m(train_xgb_ray_tune pid=1476144)[0m [505]	train-mlogloss:0.65385	validation-mlogloss:0.59349
[36m(train_xgb_ray_tune pid=1476150)[0m [586]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476165)[0m [519]	train-mlogloss:0.70285	validation-mlogloss:0.65544
[36m(train_xgb_ray_tune pid=1476158)[0m [556]	train-mlogloss:1.29928	validation-mlogloss:1.29295
[36m(train_xgb_ray_tune pid=1476169)[0m [436]	train-mlogloss:0.61368	validation-mlogloss:0.55608
[36m(train_xgb_ray_tune pid=1476143)[0m [373]	train-mlogloss:0.62091	validation-mlogloss:0.57171
[36m(train_xgb_ray_tune pid=1476150)[0m [587]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476158)[0m [557]	train-mlogloss:1.29928	validation-mlogloss:1.29295
[36m(train_xgb_ray_tune pid=1476169)[0m [437]	train-mlogloss:0.61357	validation-mlogloss:0.55599
[36m(train_xgb_ray_tune pid=1476144)[0m [506]	train-mlogloss:0.65368	validation-mlogloss:0.59330
[36m(train_xgb_ray_tune pid=1476150)[0m [588]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476165)[0m [520]	train-mlogloss:0.70249	validation-mlogloss:0.65502
[36m(train_xgb_ray_tune pid=1476158)[0m [558]	train-mlogloss:1.29928	validation-mlogloss:1.29295
[36m(train_xgb_ray_tune pid=1476144)[0m [507]	train-mlogloss:0.65361	validation-mlogloss:0.59324
[36m(train_xgb_ray_tune pid=1476169)[0m [438]	train-mlogloss:0.61351	validation-mlogloss:0.55589
[36m(train_xgb_ray_tune pid=1476143)[0m [374]	train-mlogloss:0.62064	validation-mlogloss:0.57142
[36m(train_xgb_ray_tune pid=1476150)[0m [589]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476158)[0m [559]	train-mlogloss:1.29928	validation-mlogloss:1.29295
[36m(train_xgb_ray_tune pid=1476165)[0m [521]	train-mlogloss:0.70219	validation-mlogloss:0.65466
[36m(train_xgb_ray_tune pid=1476169)[0m [439]	train-mlogloss:0.61340	validation-mlogloss:0.55580
[36m(train_xgb_ray_tune pid=1476144)[0m [508]	train-mlogloss:0.65355	validation-mlogloss:0.59318
[36m(train_xgb_ray_tune pid=1476150)[0m [590]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476143)[0m [375]	train-mlogloss:0.62031	validation-mlogloss:0.57103
[36m(train_xgb_ray_tune pid=1476158)[0m [560]	train-mlogloss:1.29920	validation-mlogloss:1.29286
[36m(train_xgb_ray_tune pid=1476169)[0m [440]	train-mlogloss:0.61334	validation-mlogloss:0.55574
[36m(train_xgb_ray_tune pid=1476144)[0m [509]	train-mlogloss:0.65348	validation-mlogloss:0.59312
[36m(train_xgb_ray_tune pid=1476150)[0m [591]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476165)[0m [522]	train-mlogloss:0.70188	validation-mlogloss:0.65429
[36m(train_xgb_ray_tune pid=1476158)[0m [561]	train-mlogloss:1.29920	validation-mlogloss:1.29286
[36m(train_xgb_ray_tune pid=1476144)[0m [510]	train-mlogloss:0.65342	validation-mlogloss:0.59306
[36m(train_xgb_ray_tune pid=1476150)[0m [592]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476169)[0m [441]	train-mlogloss:0.61329	validation-mlogloss:0.55564
[36m(train_xgb_ray_tune pid=1476143)[0m [376]	train-mlogloss:0.61997	validation-mlogloss:0.57063
[36m(train_xgb_ray_tune pid=1476165)[0m [523]	train-mlogloss:0.70153	validation-mlogloss:0.65390
[36m(train_xgb_ray_tune pid=1476158)[0m [562]	train-mlogloss:1.29920	validation-mlogloss:1.29286
[36m(train_xgb_ray_tune pid=1476144)[0m [511]	train-mlogloss:0.65336	validation-mlogloss:0.59300
[36m(train_xgb_ray_tune pid=1476150)[0m [593]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476169)[0m [442]	train-mlogloss:0.61323	validation-mlogloss:0.55560

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.01093 │
│ time_total_s                 8.01093 │
│ training_iteration                 1 │
│ validation_accuracy          0.75716 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 11s
[36m(train_xgb_ray_tune pid=1476144)[0m [512]	train-mlogloss:0.65329	validation-mlogloss:0.59294
[36m(train_xgb_ray_tune pid=1476144)[0m [513]	train-mlogloss:0.65323	validation-mlogloss:0.59284
[36m(train_xgb_ray_tune pid=1476144)[0m [514]	train-mlogloss:0.65316	validation-mlogloss:0.59278
[36m(train_xgb_ray_tune pid=1476144)[0m [515]	train-mlogloss:0.65311	validation-mlogloss:0.59274
[36m(train_xgb_ray_tune pid=1476144)[0m [516]	train-mlogloss:0.65292	validation-mlogloss:0.59256
[36m(train_xgb_ray_tune pid=1476144)[0m [517]	train-mlogloss:0.65286	validation-mlogloss:0.59250
[36m(train_xgb_ray_tune pid=1476144)[0m [518]	train-mlogloss:0.65279	validation-mlogloss:0.59241
[36m(train_xgb_ray_tune pid=1476144)[0m [519]	train-mlogloss:0.65273	validation-mlogloss:0.59231
[36m(train_xgb_ray_tune pid=1476144)[0m [520]	train-mlogloss:0.65267	validation-mlogloss:0.59225
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[36m(train_xgb_ray_tune pid=1476144)[0m [522]	train-mlogloss:0.65242	validation-mlogloss:0.59195
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[36m(train_xgb_ray_tune pid=1476144)[0m [527]	train-mlogloss:0.65207	validation-mlogloss:0.59163
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[36m(train_xgb_ray_tune pid=1476144)[0m [530]	train-mlogloss:0.65176	validation-mlogloss:0.59130
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[36m(train_xgb_ray_tune pid=1476144)[0m [532]	train-mlogloss:0.65159	validation-mlogloss:0.59116
[36m(train_xgb_ray_tune pid=1476144)[0m [533]	train-mlogloss:0.65153	validation-mlogloss:0.59107
[36m(train_xgb_ray_tune pid=1476144)[0m [534]	train-mlogloss:0.65147	validation-mlogloss:0.59102
[36m(train_xgb_ray_tune pid=1476144)[0m [535]	train-mlogloss:0.65142	validation-mlogloss:0.59096
[36m(train_xgb_ray_tune pid=1476144)[0m [536]	train-mlogloss:0.65136	validation-mlogloss:0.59088
[36m(train_xgb_ray_tune pid=1476144)[0m [537]	train-mlogloss:0.65125	validation-mlogloss:0.59078
[36m(train_xgb_ray_tune pid=1476144)[0m [538]	train-mlogloss:0.65120	validation-mlogloss:0.59069
[36m(train_xgb_ray_tune pid=1476143)[0m [377]	train-mlogloss:0.61973	validation-mlogloss:0.57039
[36m(train_xgb_ray_tune pid=1476143)[0m [378]	train-mlogloss:0.61939	validation-mlogloss:0.56999
[36m(train_xgb_ray_tune pid=1476143)[0m [379]	train-mlogloss:0.61919	validation-mlogloss:0.56976
[36m(train_xgb_ray_tune pid=1476143)[0m [380]	train-mlogloss:0.61901	validation-mlogloss:0.56958
[36m(train_xgb_ray_tune pid=1476150)[0m [594]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [595]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [596]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [597]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [598]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [599]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [600]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [601]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [602]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [603]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [604]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [605]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [606]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [607]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [608]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [609]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [610]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [611]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [612]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [613]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [614]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [615]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [616]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [617]	train-mlogloss:0.63394	validation-mlogloss:0.57486
[36m(train_xgb_ray_tune pid=1476150)[0m [618]	train-mlogloss:0.63389	validation-mlogloss:0.57479
[36m(train_xgb_ray_tune pid=1476150)[0m [619]	train-mlogloss:0.63389	validation-mlogloss:0.57479
[36m(train_xgb_ray_tune pid=1476150)[0m [620]	train-mlogloss:0.63389	validation-mlogloss:0.57479
[36m(train_xgb_ray_tune pid=1476150)[0m [621]	train-mlogloss:0.63377	validation-mlogloss:0.57463
[36m(train_xgb_ray_tune pid=1476150)[0m [622]	train-mlogloss:0.63354	validation-mlogloss:0.57434
[36m(train_xgb_ray_tune pid=1476150)[0m [623]	train-mlogloss:0.63354	validation-mlogloss:0.57434
[36m(train_xgb_ray_tune pid=1476165)[0m [524]	train-mlogloss:0.70127	validation-mlogloss:0.65357
[36m(train_xgb_ray_tune pid=1476165)[0m [525]	train-mlogloss:0.70099	validation-mlogloss:0.65323
[36m(train_xgb_ray_tune pid=1476165)[0m [526]	train-mlogloss:0.70067	validation-mlogloss:0.65285
[36m(train_xgb_ray_tune pid=1476165)[0m [527]	train-mlogloss:0.70035	validation-mlogloss:0.65250
[36m(train_xgb_ray_tune pid=1476165)[0m [528]	train-mlogloss:0.70005	validation-mlogloss:0.65212
[36m(train_xgb_ray_tune pid=1476165)[0m [529]	train-mlogloss:0.69982	validation-mlogloss:0.65182
[36m(train_xgb_ray_tune pid=1476165)[0m [530]	train-mlogloss:0.69952	validation-mlogloss:0.65147
[36m(train_xgb_ray_tune pid=1476165)[0m [531]	train-mlogloss:0.69927	validation-mlogloss:0.65117
[36m(train_xgb_ray_tune pid=1476165)[0m [532]	train-mlogloss:0.69897	validation-mlogloss:0.65081
[36m(train_xgb_ray_tune pid=1476165)[0m [533]	train-mlogloss:0.69871	validation-mlogloss:0.65050
[36m(train_xgb_ray_tune pid=1476165)[0m [534]	train-mlogloss:0.69846	validation-mlogloss:0.65019
[36m(train_xgb_ray_tune pid=1476165)[0m [535]	train-mlogloss:0.69826	validation-mlogloss:0.64993
[36m(train_xgb_ray_tune pid=1476165)[0m [536]	train-mlogloss:0.69806	validation-mlogloss:0.64968
[36m(train_xgb_ray_tune pid=1476165)[0m [537]	train-mlogloss:0.69775	validation-mlogloss:0.64929
[36m(train_xgb_ray_tune pid=1476165)[0m [538]	train-mlogloss:0.69753	validation-mlogloss:0.64903
[36m(train_xgb_ray_tune pid=1476165)[0m [539]	train-mlogloss:0.69732	validation-mlogloss:0.64879
[36m(train_xgb_ray_tune pid=1476165)[0m [540]	train-mlogloss:0.69703	validation-mlogloss:0.64846
[36m(train_xgb_ray_tune pid=1476165)[0m [541]	train-mlogloss:0.69680	validation-mlogloss:0.64817
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[36m(train_xgb_ray_tune pid=1476165)[0m [543]	train-mlogloss:0.69640	validation-mlogloss:0.64770
[36m(train_xgb_ray_tune pid=1476165)[0m [544]	train-mlogloss:0.69616	validation-mlogloss:0.64743
[36m(train_xgb_ray_tune pid=1476165)[0m [545]	train-mlogloss:0.69589	validation-mlogloss:0.64714
[36m(train_xgb_ray_tune pid=1476158)[0m [563]	train-mlogloss:1.29904	validation-mlogloss:1.29268
[36m(train_xgb_ray_tune pid=1476158)[0m [564]	train-mlogloss:1.29904	validation-mlogloss:1.29268
[36m(train_xgb_ray_tune pid=1476158)[0m [565]	train-mlogloss:1.29904	validation-mlogloss:1.29268
[36m(train_xgb_ray_tune pid=1476158)[0m [566]	train-mlogloss:1.29887	validation-mlogloss:1.29251
[36m(train_xgb_ray_tune pid=1476158)[0m [567]	train-mlogloss:1.29887	validation-mlogloss:1.29251
[36m(train_xgb_ray_tune pid=1476158)[0m [568]	train-mlogloss:1.29887	validation-mlogloss:1.29251
[36m(train_xgb_ray_tune pid=1476158)[0m [569]	train-mlogloss:1.29887	validation-mlogloss:1.29251
[36m(train_xgb_ray_tune pid=1476158)[0m [570]	train-mlogloss:1.29887	validation-mlogloss:1.29251
[36m(train_xgb_ray_tune pid=1476158)[0m [571]	train-mlogloss:1.29887	validation-mlogloss:1.29251
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[36m(train_xgb_ray_tune pid=1476158)[0m [579]	train-mlogloss:1.29878	validation-mlogloss:1.29240
[36m(train_xgb_ray_tune pid=1476158)[0m [580]	train-mlogloss:1.29878	validation-mlogloss:1.29240
[36m(train_xgb_ray_tune pid=1476158)[0m [581]	train-mlogloss:1.29878	validation-mlogloss:1.29240
[36m(train_xgb_ray_tune pid=1476158)[0m [582]	train-mlogloss:1.29870	validation-mlogloss:1.29231
[36m(train_xgb_ray_tune pid=1476158)[0m [583]	train-mlogloss:1.29870	validation-mlogloss:1.29231
[36m(train_xgb_ray_tune pid=1476158)[0m [584]	train-mlogloss:1.29870	validation-mlogloss:1.29231
[36m(train_xgb_ray_tune pid=1476169)[0m [443]	train-mlogloss:0.61317	validation-mlogloss:0.55555
[36m(train_xgb_ray_tune pid=1476169)[0m [444]	train-mlogloss:0.61312	validation-mlogloss:0.55550
[36m(train_xgb_ray_tune pid=1476169)[0m [445]	train-mlogloss:0.61307	validation-mlogloss:0.55545
[36m(train_xgb_ray_tune pid=1476169)[0m [446]	train-mlogloss:0.61301	validation-mlogloss:0.55536
[36m(train_xgb_ray_tune pid=1476169)[0m [447]	train-mlogloss:0.61296	validation-mlogloss:0.55531
[36m(train_xgb_ray_tune pid=1476169)[0m [448]	train-mlogloss:0.61290	validation-mlogloss:0.55526
[36m(train_xgb_ray_tune pid=1476169)[0m [449]	train-mlogloss:0.61273	validation-mlogloss:0.55506
[36m(train_xgb_ray_tune pid=1476169)[0m [450]	train-mlogloss:0.61268	validation-mlogloss:0.55497
[36m(train_xgb_ray_tune pid=1476169)[0m [451]	train-mlogloss:0.61262	validation-mlogloss:0.55488
[36m(train_xgb_ray_tune pid=1476169)[0m [452]	train-mlogloss:0.61257	validation-mlogloss:0.55483
[36m(train_xgb_ray_tune pid=1476169)[0m [453]	train-mlogloss:0.61252	validation-mlogloss:0.55474
[36m(train_xgb_ray_tune pid=1476169)[0m [454]	train-mlogloss:0.61235	validation-mlogloss:0.55454
[36m(train_xgb_ray_tune pid=1476169)[0m [455]	train-mlogloss:0.61229	validation-mlogloss:0.55449
[36m(train_xgb_ray_tune pid=1476169)[0m [456]	train-mlogloss:0.61229	validation-mlogloss:0.55449
[36m(train_xgb_ray_tune pid=1476169)[0m [457]	train-mlogloss:0.61224	validation-mlogloss:0.55444
[36m(train_xgb_ray_tune pid=1476169)[0m [458]	train-mlogloss:0.61224	validation-mlogloss:0.55444
[36m(train_xgb_ray_tune pid=1476169)[0m [459]	train-mlogloss:0.61224	validation-mlogloss:0.55444
[36m(train_xgb_ray_tune pid=1476169)[0m [460]	train-mlogloss:0.61219	validation-mlogloss:0.55440
[36m(train_xgb_ray_tune pid=1476169)[0m [461]	train-mlogloss:0.61214	validation-mlogloss:0.55433
[36m(train_xgb_ray_tune pid=1476169)[0m [462]	train-mlogloss:0.61209	validation-mlogloss:0.55429
[36m(train_xgb_ray_tune pid=1476169)[0m [463]	train-mlogloss:0.61204	validation-mlogloss:0.55420
[36m(train_xgb_ray_tune pid=1476169)[0m [464]	train-mlogloss:0.61199	validation-mlogloss:0.55415
[36m(train_xgb_ray_tune pid=1476169)[0m [465]	train-mlogloss:0.61181	validation-mlogloss:0.55396
[36m(train_xgb_ray_tune pid=1476169)[0m [466]	train-mlogloss:0.61171	validation-mlogloss:0.55387
[36m(train_xgb_ray_tune pid=1476169)[0m [467]	train-mlogloss:0.61166	validation-mlogloss:0.55382
[36m(train_xgb_ray_tune pid=1476169)[0m [468]	train-mlogloss:0.61161	validation-mlogloss:0.55378
[36m(train_xgb_ray_tune pid=1476169)[0m [469]	train-mlogloss:0.61161	validation-mlogloss:0.55378
[36m(train_xgb_ray_tune pid=1476169)[0m [470]	train-mlogloss:0.61156	validation-mlogloss:0.55370
[36m(train_xgb_ray_tune pid=1476169)[0m [471]	train-mlogloss:0.61151	validation-mlogloss:0.55366
[36m(train_xgb_ray_tune pid=1476169)[0m [472]	train-mlogloss:0.61151	validation-mlogloss:0.55366
[36m(train_xgb_ray_tune pid=1476144)[0m [539]	train-mlogloss:0.65114	validation-mlogloss:0.59060
[36m(train_xgb_ray_tune pid=1476150)[0m [624]	train-mlogloss:0.63354	validation-mlogloss:0.57434
[36m(train_xgb_ray_tune pid=1476144)[0m [540]	train-mlogloss:0.65108	validation-mlogloss:0.59052
[36m(train_xgb_ray_tune pid=1476165)[0m [546]	train-mlogloss:0.69562	validation-mlogloss:0.64682
[36m(train_xgb_ray_tune pid=1476169)[0m [473]	train-mlogloss:0.61146	validation-mlogloss:0.55362
[36m(train_xgb_ray_tune pid=1476150)[0m [625]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476144)[0m [541]	train-mlogloss:0.65102	validation-mlogloss:0.59046
[36m(train_xgb_ray_tune pid=1476169)[0m [474]	train-mlogloss:0.61146	validation-mlogloss:0.55362
[36m(train_xgb_ray_tune pid=1476150)[0m [626]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476165)[0m [547]	train-mlogloss:0.69540	validation-mlogloss:0.64659

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             7.98216 │
│ time_total_s                 7.98216 │
│ training_iteration                 1 │
│ validation_accuracy          0.51433 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 11s
[36m(train_xgb_ray_tune pid=1476144)[0m [542]	train-mlogloss:0.65097	validation-mlogloss:0.59041
[36m(train_xgb_ray_tune pid=1476144)[0m [543]	train-mlogloss:0.65097	validation-mlogloss:0.59041
[36m(train_xgb_ray_tune pid=1476144)[0m [544]	train-mlogloss:0.65091	validation-mlogloss:0.59032
[36m(train_xgb_ray_tune pid=1476144)[0m [545]	train-mlogloss:0.65073	validation-mlogloss:0.59013
[36m(train_xgb_ray_tune pid=1476144)[0m [546]	train-mlogloss:0.65067	validation-mlogloss:0.59004
[36m(train_xgb_ray_tune pid=1476144)[0m [547]	train-mlogloss:0.65061	validation-mlogloss:0.58998
[36m(train_xgb_ray_tune pid=1476144)[0m [548]	train-mlogloss:0.65055	validation-mlogloss:0.58989
[36m(train_xgb_ray_tune pid=1476144)[0m [549]	train-mlogloss:0.65050	validation-mlogloss:0.58984
[36m(train_xgb_ray_tune pid=1476150)[0m [627]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [628]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [629]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [630]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [631]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [632]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [633]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [634]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [635]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [636]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [637]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [638]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [639]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [640]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [641]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [642]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [643]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [644]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [645]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [646]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [647]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [648]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [649]	train-mlogloss:0.63348	validation-mlogloss:0.57428
[36m(train_xgb_ray_tune pid=1476150)[0m [650]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [651]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [652]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [653]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [654]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [655]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476150)[0m [656]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476165)[0m [548]	train-mlogloss:0.69510	validation-mlogloss:0.64622
[36m(train_xgb_ray_tune pid=1476165)[0m [549]	train-mlogloss:0.69489	validation-mlogloss:0.64597
[36m(train_xgb_ray_tune pid=1476165)[0m [550]	train-mlogloss:0.69458	validation-mlogloss:0.64562
[36m(train_xgb_ray_tune pid=1476165)[0m [551]	train-mlogloss:0.69434	validation-mlogloss:0.64532
[36m(train_xgb_ray_tune pid=1476165)[0m [552]	train-mlogloss:0.69406	validation-mlogloss:0.64498
[36m(train_xgb_ray_tune pid=1476165)[0m [553]	train-mlogloss:0.69383	validation-mlogloss:0.64472
[36m(train_xgb_ray_tune pid=1476165)[0m [554]	train-mlogloss:0.69364	validation-mlogloss:0.64450
[36m(train_xgb_ray_tune pid=1476165)[0m [555]	train-mlogloss:0.69341	validation-mlogloss:0.64424
[36m(train_xgb_ray_tune pid=1476165)[0m [556]	train-mlogloss:0.69317	validation-mlogloss:0.64396
[36m(train_xgb_ray_tune pid=1476165)[0m [557]	train-mlogloss:0.69299	validation-mlogloss:0.64375
[36m(train_xgb_ray_tune pid=1476165)[0m [558]	train-mlogloss:0.69277	validation-mlogloss:0.64348
[36m(train_xgb_ray_tune pid=1476165)[0m [559]	train-mlogloss:0.69256	validation-mlogloss:0.64325
[36m(train_xgb_ray_tune pid=1476165)[0m [560]	train-mlogloss:0.69226	validation-mlogloss:0.64290
[36m(train_xgb_ray_tune pid=1476165)[0m [561]	train-mlogloss:0.69201	validation-mlogloss:0.64261
[36m(train_xgb_ray_tune pid=1476165)[0m [562]	train-mlogloss:0.69178	validation-mlogloss:0.64235
[36m(train_xgb_ray_tune pid=1476165)[0m [563]	train-mlogloss:0.69153	validation-mlogloss:0.64204
[36m(train_xgb_ray_tune pid=1476165)[0m [564]	train-mlogloss:0.69136	validation-mlogloss:0.64183
[36m(train_xgb_ray_tune pid=1476165)[0m [565]	train-mlogloss:0.69113	validation-mlogloss:0.64158
[36m(train_xgb_ray_tune pid=1476165)[0m [566]	train-mlogloss:0.69084	validation-mlogloss:0.64123
[36m(train_xgb_ray_tune pid=1476165)[0m [567]	train-mlogloss:0.69055	validation-mlogloss:0.64089
[36m(train_xgb_ray_tune pid=1476165)[0m [568]	train-mlogloss:0.69031	validation-mlogloss:0.64065
[36m(train_xgb_ray_tune pid=1476165)[0m [569]	train-mlogloss:0.69006	validation-mlogloss:0.64038
[36m(train_xgb_ray_tune pid=1476165)[0m [570]	train-mlogloss:0.68988	validation-mlogloss:0.64015
[36m(train_xgb_ray_tune pid=1476169)[0m [475]	train-mlogloss:0.61141	validation-mlogloss:0.55357
[36m(train_xgb_ray_tune pid=1476169)[0m [476]	train-mlogloss:0.61136	validation-mlogloss:0.55353
[36m(train_xgb_ray_tune pid=1476169)[0m [477]	train-mlogloss:0.61136	validation-mlogloss:0.55354
[36m(train_xgb_ray_tune pid=1476169)[0m [478]	train-mlogloss:0.61131	validation-mlogloss:0.55345
[36m(train_xgb_ray_tune pid=1476169)[0m [479]	train-mlogloss:0.61126	validation-mlogloss:0.55337
[36m(train_xgb_ray_tune pid=1476169)[0m [480]	train-mlogloss:0.61126	validation-mlogloss:0.55337
[36m(train_xgb_ray_tune pid=1476169)[0m [481]	train-mlogloss:0.61126	validation-mlogloss:0.55338
[36m(train_xgb_ray_tune pid=1476169)[0m [482]	train-mlogloss:0.61126	validation-mlogloss:0.55338
[36m(train_xgb_ray_tune pid=1476169)[0m [483]	train-mlogloss:0.61121	validation-mlogloss:0.55333
[36m(train_xgb_ray_tune pid=1476169)[0m [484]	train-mlogloss:0.61121	validation-mlogloss:0.55333
[36m(train_xgb_ray_tune pid=1476169)[0m [485]	train-mlogloss:0.61116	validation-mlogloss:0.55325
[36m(train_xgb_ray_tune pid=1476169)[0m [486]	train-mlogloss:0.61106	validation-mlogloss:0.55319
[36m(train_xgb_ray_tune pid=1476169)[0m [487]	train-mlogloss:0.61106	validation-mlogloss:0.55320
[36m(train_xgb_ray_tune pid=1476169)[0m [488]	train-mlogloss:0.61106	validation-mlogloss:0.55320
[36m(train_xgb_ray_tune pid=1476169)[0m [489]	train-mlogloss:0.61106	validation-mlogloss:0.55320
[36m(train_xgb_ray_tune pid=1476169)[0m [490]	train-mlogloss:0.61106	validation-mlogloss:0.55320
[36m(train_xgb_ray_tune pid=1476169)[0m [491]	train-mlogloss:0.61106	validation-mlogloss:0.55320
[36m(train_xgb_ray_tune pid=1476169)[0m [492]	train-mlogloss:0.61101	validation-mlogloss:0.55312
[36m(train_xgb_ray_tune pid=1476169)[0m [493]	train-mlogloss:0.61101	validation-mlogloss:0.55312
[36m(train_xgb_ray_tune pid=1476169)[0m [494]	train-mlogloss:0.61096	validation-mlogloss:0.55307
[36m(train_xgb_ray_tune pid=1476169)[0m [495]	train-mlogloss:0.61096	validation-mlogloss:0.55307
[36m(train_xgb_ray_tune pid=1476169)[0m [496]	train-mlogloss:0.61096	validation-mlogloss:0.55307
[36m(train_xgb_ray_tune pid=1476169)[0m [497]	train-mlogloss:0.61096	validation-mlogloss:0.55308
[36m(train_xgb_ray_tune pid=1476169)[0m [498]	train-mlogloss:0.61096	validation-mlogloss:0.55308
[36m(train_xgb_ray_tune pid=1476169)[0m [499]	train-mlogloss:0.61091	validation-mlogloss:0.55303
[36m(train_xgb_ray_tune pid=1476169)[0m [500]	train-mlogloss:0.61091	validation-mlogloss:0.55303
[36m(train_xgb_ray_tune pid=1476169)[0m [501]	train-mlogloss:0.61091	validation-mlogloss:0.55304
[36m(train_xgb_ray_tune pid=1476169)[0m [502]	train-mlogloss:0.61091	validation-mlogloss:0.55304
[36m(train_xgb_ray_tune pid=1476169)[0m [503]	train-mlogloss:0.61091	validation-mlogloss:0.55304
[36m(train_xgb_ray_tune pid=1476169)[0m [504]	train-mlogloss:0.61086	validation-mlogloss:0.55295
[36m(train_xgb_ray_tune pid=1476150)[0m [657]	train-mlogloss:0.63342	validation-mlogloss:0.57423
[36m(train_xgb_ray_tune pid=1476165)[0m [571]	train-mlogloss:0.68974	validation-mlogloss:0.63997
[36m(train_xgb_ray_tune pid=1476150)[0m [658]	train-mlogloss:0.63328	validation-mlogloss:0.57409
[36m(train_xgb_ray_tune pid=1476169)[0m [505]	train-mlogloss:0.61086	validation-mlogloss:0.55296

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.20906 │
│ time_total_s                 8.20906 │
│ training_iteration                 1 │
│ validation_accuracy          0.73756 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 11s
[36m(train_xgb_ray_tune pid=1476150)[0m [659]	train-mlogloss:0.63328	validation-mlogloss:0.57409
[36m(train_xgb_ray_tune pid=1476150)[0m [660]	train-mlogloss:0.63328	validation-mlogloss:0.57409
[36m(train_xgb_ray_tune pid=1476150)[0m [661]	train-mlogloss:0.63328	validation-mlogloss:0.57409
[36m(train_xgb_ray_tune pid=1476150)[0m [662]	train-mlogloss:0.63324	validation-mlogloss:0.57405
[36m(train_xgb_ray_tune pid=1476150)[0m [663]	train-mlogloss:0.63324	validation-mlogloss:0.57405
[36m(train_xgb_ray_tune pid=1476150)[0m [664]	train-mlogloss:0.63324	validation-mlogloss:0.57405
[36m(train_xgb_ray_tune pid=1476150)[0m [665]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [666]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [667]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [668]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [669]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [670]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [671]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [672]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [673]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [674]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [675]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [676]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [677]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [678]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [679]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [680]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [681]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [682]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [683]	train-mlogloss:0.63318	validation-mlogloss:0.57401
[36m(train_xgb_ray_tune pid=1476150)[0m [684]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [685]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [686]	train-mlogloss:0.63318	validation-mlogloss:0.57400
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[36m(train_xgb_ray_tune pid=1476150)[0m [689]	train-mlogloss:0.63318	validation-mlogloss:0.57400
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[36m(train_xgb_ray_tune pid=1476169)[0m [506]	train-mlogloss:0.61081	validation-mlogloss:0.55287
[36m(train_xgb_ray_tune pid=1476169)[0m [507]	train-mlogloss:0.61081	validation-mlogloss:0.55288
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[36m(train_xgb_ray_tune pid=1476169)[0m [510]	train-mlogloss:0.61076	validation-mlogloss:0.55284
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[36m(train_xgb_ray_tune pid=1476169)[0m [512]	train-mlogloss:0.61059	validation-mlogloss:0.55268
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[36m(train_xgb_ray_tune pid=1476169)[0m [523]	train-mlogloss:0.61030	validation-mlogloss:0.55239
[36m(train_xgb_ray_tune pid=1476169)[0m [524]	train-mlogloss:0.61030	validation-mlogloss:0.55239
[36m(train_xgb_ray_tune pid=1476169)[0m [525]	train-mlogloss:0.61030	validation-mlogloss:0.55239
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[36m(train_xgb_ray_tune pid=1476169)[0m [527]	train-mlogloss:0.61029	validation-mlogloss:0.55240
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[36m(train_xgb_ray_tune pid=1476169)[0m [535]	train-mlogloss:0.61015	validation-mlogloss:0.55228
[36m(train_xgb_ray_tune pid=1476165)[0m [596]	train-mlogloss:0.68447	validation-mlogloss:0.63395
[36m(train_xgb_ray_tune pid=1476169)[0m [536]	train-mlogloss:0.61015	validation-mlogloss:0.55228
[36m(train_xgb_ray_tune pid=1476150)[0m [690]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476169)[0m [537]	train-mlogloss:0.61015	validation-mlogloss:0.55229
[36m(train_xgb_ray_tune pid=1476150)[0m [691]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476165)[0m [597]	train-mlogloss:0.68428	validation-mlogloss:0.63374
[36m(train_xgb_ray_tune pid=1476150)[0m [692]	train-mlogloss:0.63318	validation-mlogloss:0.57400
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[36m(train_xgb_ray_tune pid=1476150)[0m [694]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [695]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [696]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [697]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [698]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [699]	train-mlogloss:0.63318	validation-mlogloss:0.57400
[36m(train_xgb_ray_tune pid=1476150)[0m [700]	train-mlogloss:0.63307	validation-mlogloss:0.57391
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[36m(train_xgb_ray_tune pid=1476150)[0m [704]	train-mlogloss:0.63307	validation-mlogloss:0.57391
[36m(train_xgb_ray_tune pid=1476150)[0m [705]	train-mlogloss:0.63307	validation-mlogloss:0.57391
[36m(train_xgb_ray_tune pid=1476150)[0m [706]	train-mlogloss:0.63307	validation-mlogloss:0.57391
[36m(train_xgb_ray_tune pid=1476150)[0m [707]	train-mlogloss:0.63307	validation-mlogloss:0.57391
[36m(train_xgb_ray_tune pid=1476150)[0m [708]	train-mlogloss:0.63307	validation-mlogloss:0.57391
[36m(train_xgb_ray_tune pid=1476150)[0m [709]	train-mlogloss:0.63307	validation-mlogloss:0.57391
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[36m(train_xgb_ray_tune pid=1476150)[0m [714]	train-mlogloss:0.63307	validation-mlogloss:0.57391
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[36m(train_xgb_ray_tune pid=1476150)[0m [719]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [720]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [721]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [722]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476165)[0m [598]	train-mlogloss:0.68411	validation-mlogloss:0.63354
[36m(train_xgb_ray_tune pid=1476165)[0m [599]	train-mlogloss:0.68401	validation-mlogloss:0.63343
[36m(train_xgb_ray_tune pid=1476165)[0m [600]	train-mlogloss:0.68378	validation-mlogloss:0.63315
[36m(train_xgb_ray_tune pid=1476165)[0m [601]	train-mlogloss:0.68360	validation-mlogloss:0.63294
[36m(train_xgb_ray_tune pid=1476165)[0m [602]	train-mlogloss:0.68340	validation-mlogloss:0.63269
[36m(train_xgb_ray_tune pid=1476165)[0m [603]	train-mlogloss:0.68323	validation-mlogloss:0.63250
[36m(train_xgb_ray_tune pid=1476165)[0m [604]	train-mlogloss:0.68310	validation-mlogloss:0.63235
[36m(train_xgb_ray_tune pid=1476165)[0m [605]	train-mlogloss:0.68295	validation-mlogloss:0.63217
[36m(train_xgb_ray_tune pid=1476165)[0m [606]	train-mlogloss:0.68278	validation-mlogloss:0.63198
[36m(train_xgb_ray_tune pid=1476165)[0m [607]	train-mlogloss:0.68259	validation-mlogloss:0.63173
[36m(train_xgb_ray_tune pid=1476165)[0m [608]	train-mlogloss:0.68239	validation-mlogloss:0.63152
[36m(train_xgb_ray_tune pid=1476165)[0m [609]	train-mlogloss:0.68215	validation-mlogloss:0.63128
[36m(train_xgb_ray_tune pid=1476165)[0m [610]	train-mlogloss:0.68196	validation-mlogloss:0.63104
[36m(train_xgb_ray_tune pid=1476165)[0m [611]	train-mlogloss:0.68177	validation-mlogloss:0.63080
[36m(train_xgb_ray_tune pid=1476165)[0m [612]	train-mlogloss:0.68159	validation-mlogloss:0.63061
[36m(train_xgb_ray_tune pid=1476165)[0m [613]	train-mlogloss:0.68134	validation-mlogloss:0.63035
[36m(train_xgb_ray_tune pid=1476165)[0m [614]	train-mlogloss:0.68110	validation-mlogloss:0.63010
[36m(train_xgb_ray_tune pid=1476165)[0m [615]	train-mlogloss:0.68094	validation-mlogloss:0.62990
[36m(train_xgb_ray_tune pid=1476165)[0m [616]	train-mlogloss:0.68077	validation-mlogloss:0.62972
[36m(train_xgb_ray_tune pid=1476169)[0m [538]	train-mlogloss:0.61003	validation-mlogloss:0.55218
[36m(train_xgb_ray_tune pid=1476169)[0m [539]	train-mlogloss:0.61003	validation-mlogloss:0.55218
[36m(train_xgb_ray_tune pid=1476169)[0m [540]	train-mlogloss:0.60999	validation-mlogloss:0.55213
[36m(train_xgb_ray_tune pid=1476169)[0m [541]	train-mlogloss:0.60999	validation-mlogloss:0.55214
[36m(train_xgb_ray_tune pid=1476169)[0m [542]	train-mlogloss:0.60999	validation-mlogloss:0.55214
[36m(train_xgb_ray_tune pid=1476169)[0m [543]	train-mlogloss:0.60994	validation-mlogloss:0.55210
[36m(train_xgb_ray_tune pid=1476169)[0m [544]	train-mlogloss:0.60994	validation-mlogloss:0.55210
[36m(train_xgb_ray_tune pid=1476169)[0m [545]	train-mlogloss:0.60989	validation-mlogloss:0.55202
[36m(train_xgb_ray_tune pid=1476169)[0m [546]	train-mlogloss:0.60989	validation-mlogloss:0.55202
[36m(train_xgb_ray_tune pid=1476169)[0m [547]	train-mlogloss:0.60989	validation-mlogloss:0.55202
[36m(train_xgb_ray_tune pid=1476169)[0m [548]	train-mlogloss:0.60989	validation-mlogloss:0.55202
[36m(train_xgb_ray_tune pid=1476169)[0m [549]	train-mlogloss:0.60989	validation-mlogloss:0.55203
[36m(train_xgb_ray_tune pid=1476169)[0m [550]	train-mlogloss:0.60989	validation-mlogloss:0.55203
[36m(train_xgb_ray_tune pid=1476169)[0m [551]	train-mlogloss:0.60989	validation-mlogloss:0.55203
[36m(train_xgb_ray_tune pid=1476169)[0m [552]	train-mlogloss:0.60989	validation-mlogloss:0.55203
[36m(train_xgb_ray_tune pid=1476169)[0m [553]	train-mlogloss:0.60989	validation-mlogloss:0.55203
[36m(train_xgb_ray_tune pid=1476169)[0m [554]	train-mlogloss:0.60989	validation-mlogloss:0.55204
[36m(train_xgb_ray_tune pid=1476169)[0m [555]	train-mlogloss:0.60989	validation-mlogloss:0.55204
[36m(train_xgb_ray_tune pid=1476169)[0m [556]	train-mlogloss:0.60989	validation-mlogloss:0.55204
[36m(train_xgb_ray_tune pid=1476169)[0m [557]	train-mlogloss:0.60989	validation-mlogloss:0.55204
[36m(train_xgb_ray_tune pid=1476169)[0m [558]	train-mlogloss:0.60978	validation-mlogloss:0.55192
[36m(train_xgb_ray_tune pid=1476169)[0m [559]	train-mlogloss:0.60978	validation-mlogloss:0.55192
[36m(train_xgb_ray_tune pid=1476169)[0m [560]	train-mlogloss:0.60978	validation-mlogloss:0.55192
[36m(train_xgb_ray_tune pid=1476169)[0m [561]	train-mlogloss:0.60978	validation-mlogloss:0.55192
[36m(train_xgb_ray_tune pid=1476169)[0m [562]	train-mlogloss:0.60978	validation-mlogloss:0.55192
[36m(train_xgb_ray_tune pid=1476169)[0m [563]	train-mlogloss:0.60967	validation-mlogloss:0.55179
[36m(train_xgb_ray_tune pid=1476169)[0m [564]	train-mlogloss:0.60967	validation-mlogloss:0.55179
[36m(train_xgb_ray_tune pid=1476169)[0m [565]	train-mlogloss:0.60967	validation-mlogloss:0.55179
[36m(train_xgb_ray_tune pid=1476169)[0m [566]	train-mlogloss:0.60967	validation-mlogloss:0.55179
[36m(train_xgb_ray_tune pid=1476169)[0m [567]	train-mlogloss:0.60967	validation-mlogloss:0.55179
[36m(train_xgb_ray_tune pid=1476169)[0m [568]	train-mlogloss:0.60967	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476169)[0m [569]	train-mlogloss:0.60967	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476150)[0m [723]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476169)[0m [570]	train-mlogloss:0.60967	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476150)[0m [724]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476169)[0m [571]	train-mlogloss:0.60966	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476150)[0m [725]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476169)[0m [572]	train-mlogloss:0.60966	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476150)[0m [726]	train-mlogloss:0.63298	validation-mlogloss:0.57383

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:26. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.62018 │
│ time_total_s                 8.62018 │
│ training_iteration                 1 │
│ validation_accuracy          0.73077 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:26. Total running time: 11s
[36m(train_xgb_ray_tune pid=1476150)[0m [727]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [728]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [729]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [730]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [731]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [732]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [733]	train-mlogloss:0.63298	validation-mlogloss:0.57383
[36m(train_xgb_ray_tune pid=1476150)[0m [734]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [735]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [736]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [737]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [738]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [739]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [740]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [741]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [742]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [743]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [744]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [745]	train-mlogloss:0.63292	validation-mlogloss:0.57374
[36m(train_xgb_ray_tune pid=1476150)[0m [746]	train-mlogloss:0.63287	validation-mlogloss:0.57366
[36m(train_xgb_ray_tune pid=1476150)[0m [747]	train-mlogloss:0.63287	validation-mlogloss:0.57366
[36m(train_xgb_ray_tune pid=1476150)[0m [748]	train-mlogloss:0.63287	validation-mlogloss:0.57366
[36m(train_xgb_ray_tune pid=1476150)[0m [749]	train-mlogloss:0.63287	validation-mlogloss:0.57366
[36m(train_xgb_ray_tune pid=1476150)[0m [750]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [751]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [752]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [753]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [754]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [755]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [756]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476169)[0m [573]	train-mlogloss:0.60966	validation-mlogloss:0.55180
[36m(train_xgb_ray_tune pid=1476169)[0m [574]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [575]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [576]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [577]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [578]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [579]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [580]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [581]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [582]	train-mlogloss:0.60962	validation-mlogloss:0.55176
[36m(train_xgb_ray_tune pid=1476169)[0m [583]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [584]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [585]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [586]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [587]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [588]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [589]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [590]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [591]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [592]	train-mlogloss:0.60962	validation-mlogloss:0.55177
[36m(train_xgb_ray_tune pid=1476169)[0m [593]	train-mlogloss:0.60962	validation-mlogloss:0.55178
[36m(train_xgb_ray_tune pid=1476150)[0m [757]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [758]	train-mlogloss:0.63271	validation-mlogloss:0.57350

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:27. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.54871 │
│ time_total_s                 8.54871 │
│ training_iteration                 1 │
│ validation_accuracy          0.74925 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:27. Total running time: 11s
[36m(train_xgb_ray_tune pid=1476150)[0m [759]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [760]	train-mlogloss:0.63271	validation-mlogloss:0.57350
2025-11-06 16:25:27,229	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_PI/case_PI_XGB_acc_superclasses_CPA_METs/XGBoost_hyperparameters_tuning' in 0.0143s.
[36m(train_xgb_ray_tune pid=1476150)[0m [761]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [762]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [763]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [764]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [765]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [766]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [767]	train-mlogloss:0.63271	validation-mlogloss:0.57350
[36m(train_xgb_ray_tune pid=1476150)[0m [768]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [769]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [770]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [771]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [772]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [773]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [774]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [775]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [776]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [777]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [778]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [779]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [780]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [781]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [782]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [783]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [784]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [785]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [786]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [787]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [788]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [789]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [790]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [791]	train-mlogloss:0.63263	validation-mlogloss:0.57342
[36m(train_xgb_ray_tune pid=1476150)[0m [792]	train-mlogloss:0.63263	validation-mlogloss:0.57342

Trial trial_cb5e2 finished iteration 1 at 2025-11-06 16:25:27. Total running time: 11s
╭──────────────────────────────────────╮
│ Trial trial_cb5e2 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             8.65837 │
│ time_total_s                 8.65837 │
│ training_iteration                 1 │
│ validation_accuracy           0.7451 │
╰──────────────────────────────────────╯

Trial trial_cb5e2 completed after 1 iterations at 2025-11-06 16:25:27. Total running time: 11s

Trial status: 20 TERMINATED
Current time: 2025-11-06 16:25:27. Total running time: 11s
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_cb5e2    TERMINATED                 793             2        0.014367        0.580095             0.601919   15.4261                   131      33.403         19.662               2216        1            8.65837                0.745098 │
│ trial_cb5e2    TERMINATED                 587             3        0.0117441       0.589591             0.686175   16.6173                   126     153.25          31.3839               935        1            7.50761                0.721719 │
│ trial_cb5e2    TERMINATED                 381             3        0.0102117       0.777653             0.789309   16.8969                   119       1.26576      127.648               3452        1            8.01093                0.757164 │
│ trial_cb5e2    TERMINATED                 550             2        0.0109621       0.711293             0.749026   29.8325                   150      10.3899       195.466               3161        1            8.20906                0.737557 │
│ trial_cb5e2    TERMINATED                 204             3        0.00519563      0.573097             0.65603    23.2922                    90      90.209          7.20822             7339        1            6.19734                0.710784 │
│ trial_cb5e2    TERMINATED                 585             3        0.00577394      0.644344             0.762258    6.80625                  158     804.336        287.907               9973        1            7.98216                0.514329 │
│ trial_cb5e2    TERMINATED                 342             2        0.0169714       0.524938             0.525875   14.8306                    72       3.89579      599.577                301        1            7.4062                 0.721342 │
│ trial_cb5e2    TERMINATED                 446             2        0.0113999       0.562496             0.815385   21.3344                   188      10.7818       162.045               7999        1            7.88566                0.734917 │
│ trial_cb5e2    TERMINATED                 558             2        0.0129131       0.673791             0.713842   28.6639                   121     428.3          702.086                901        1            7.3752                 0.684766 │
│ trial_cb5e2    TERMINATED                 369             2        0.0153416       0.762138             0.791346   26.576                    157     750.74          22.9536              3231        1            5.6929                 0.660633 │
│ trial_cb5e2    TERMINATED                 306             3        0.0158582       0.6867               0.608103   22.5352                   142      84.3148         7.9951              6144        1            6.66839                0.733786 │
│ trial_cb5e2    TERMINATED                 766             3        0.0142185       0.642453             0.552171   17.2389                   118     310.083        282.751               8682        1            7.67583                0.678356 │
│ trial_cb5e2    TERMINATED                 617             2        0.00614373      0.710338             0.659398   21.6357                    70      27.5359       161.67                7902        1            8.62018                0.730769 │
│ trial_cb5e2    TERMINATED                 446             3        0.017189        0.682019             0.664366   20.6382                    74      58.8477        26.2953              4753        1            7.56179                0.737179 │
│ trial_cb5e2    TERMINATED                 235             3        0.0135658       0.524521             0.805946   26.8468                   103       3.3206        17.945               6200        1            6.62696                0.74095  │
│ trial_cb5e2    TERMINATED                 421             3        0.00766715      0.511803             0.73243    12.4168                    61     286.922        684.737               8726        1            7.61692                0.695701 │
│ trial_cb5e2    TERMINATED                 454             2        0.015944        0.658222             0.578483   14.5175                   143       4.69437      746.042               9730        1            7.94718                0.72813  │
│ trial_cb5e2    TERMINATED                 701             3        0.0142682       0.796329             0.675552   25.0897                   145       5.84352      133.776                754        1            8.54871                0.749246 │
│ trial_cb5e2    TERMINATED                 236             3        0.0188603       0.669594             0.770933   21.3275                   164     280.325         13.0803              4022        1            5.81377                0.677979 │
│ trial_cb5e2    TERMINATED                 328             2        0.0172204       0.848661             0.782687   22.5297                    66       8.16998      872.084               2502        1            7.36105                0.728507 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Mejores hiperparámetros XGBoost: {'num_boost_round': 381, 'max_depth': 3, 'learning_rate': 0.010211656727173855, 'subsample': 0.7776529599937512, 'colsample_bytree': 0.789308671071719, 'gamma': 16.896948100767258, 'min_child_weight': 119, 'reg_alpha': 1.2657554507686022, 'reg_lambda': 127.64777481602346, 'random_state': 3452}
[0]	train-mlogloss:1.37813	validation-mlogloss:1.37774
[1]	train-mlogloss:1.37030	validation-mlogloss:1.36959
[2]	train-mlogloss:1.36247	validation-mlogloss:1.36146
[3]	train-mlogloss:1.35462	validation-mlogloss:1.35318
[4]	train-mlogloss:1.34712	validation-mlogloss:1.34544
[5]	train-mlogloss:1.33955	validation-mlogloss:1.33765
[6]	train-mlogloss:1.33203	validation-mlogloss:1.32987
[7]	train-mlogloss:1.32474	validation-mlogloss:1.32236
[8]	train-mlogloss:1.31752	validation-mlogloss:1.31487
[9]	train-mlogloss:1.31041	validation-mlogloss:1.30738
[10]	train-mlogloss:1.30343	validation-mlogloss:1.30019
[11]	train-mlogloss:1.29645	validation-mlogloss:1.29286
[12]	train-mlogloss:1.28954	validation-mlogloss:1.28565
[13]	train-mlogloss:1.28279	validation-mlogloss:1.27854
[14]	train-mlogloss:1.27605	validation-mlogloss:1.27147
[15]	train-mlogloss:1.26943	validation-mlogloss:1.26449
[16]	train-mlogloss:1.26288	validation-mlogloss:1.25759
[17]	train-mlogloss:1.25645	validation-mlogloss:1.25083
[18]	train-mlogloss:1.24998	validation-mlogloss:1.24401
[19]	train-mlogloss:1.24355	validation-mlogloss:1.23741
[20]	train-mlogloss:1.23748	validation-mlogloss:1.23113
[21]	train-mlogloss:1.23138	validation-mlogloss:1.22481
[22]	train-mlogloss:1.22532	validation-mlogloss:1.21844
[23]	train-mlogloss:1.21935	validation-mlogloss:1.21212
[24]	train-mlogloss:1.21345	validation-mlogloss:1.20592
[25]	train-mlogloss:1.20758	validation-mlogloss:1.19977
[26]	train-mlogloss:1.20180	validation-mlogloss:1.19388
[27]	train-mlogloss:1.19606	validation-mlogloss:1.18788
[28]	train-mlogloss:1.19041	validation-mlogloss:1.18199
[29]	train-mlogloss:1.18488	validation-mlogloss:1.17619
[30]	train-mlogloss:1.17938	validation-mlogloss:1.17039
[31]	train-mlogloss:1.17395	validation-mlogloss:1.16463
[32]	train-mlogloss:1.16858	validation-mlogloss:1.15890
[33]	train-mlogloss:1.16332	validation-mlogloss:1.15336
[34]	train-mlogloss:1.15802	validation-mlogloss:1.14774
[35]	train-mlogloss:1.15284	validation-mlogloss:1.14214
[36]	train-mlogloss:1.14771	validation-mlogloss:1.13672
[37]	train-mlogloss:1.14270	validation-mlogloss:1.13145
[38]	train-mlogloss:1.13779	validation-mlogloss:1.12650
[39]	train-mlogloss:1.13281	validation-mlogloss:1.12122
[40]	train-mlogloss:1.12798	validation-mlogloss:1.11617
[41]	train-mlogloss:1.12324	validation-mlogloss:1.11129
[42]	train-mlogloss:1.11847	validation-mlogloss:1.10629
[43]	train-mlogloss:1.11378	validation-mlogloss:1.10127
[44]	train-mlogloss:1.10914	validation-mlogloss:1.09636
[45]	train-mlogloss:1.10440	validation-mlogloss:1.09158
[46]	train-mlogloss:1.09986	validation-mlogloss:1.08682
[47]	train-mlogloss:1.09517	validation-mlogloss:1.08191
[48]	train-mlogloss:1.09071	validation-mlogloss:1.07723
[49]	train-mlogloss:1.08631	validation-mlogloss:1.07254
[50]	train-mlogloss:1.08189	validation-mlogloss:1.06808
[51]	train-mlogloss:1.07741	validation-mlogloss:1.06344
[52]	train-mlogloss:1.07298	validation-mlogloss:1.05891
[53]	train-mlogloss:1.06871	validation-mlogloss:1.05453
[54]	train-mlogloss:1.06441	validation-mlogloss:1.05016
[55]	train-mlogloss:1.06015	validation-mlogloss:1.04571
[56]	train-mlogloss:1.05588	validation-mlogloss:1.04127
[57]	train-mlogloss:1.05179	validation-mlogloss:1.03694
[58]	train-mlogloss:1.04773	validation-mlogloss:1.03280
[59]	train-mlogloss:1.04367	validation-mlogloss:1.02856
[60]	train-mlogloss:1.03977	validation-mlogloss:1.02454
[61]	train-mlogloss:1.03578	validation-mlogloss:1.02037
[62]	train-mlogloss:1.03184	validation-mlogloss:1.01629
[63]	train-mlogloss:1.02796	validation-mlogloss:1.01218
[64]	train-mlogloss:1.02433	validation-mlogloss:1.00848
[65]	train-mlogloss:1.02049	validation-mlogloss:1.00447
[66]	train-mlogloss:1.01672	validation-mlogloss:1.00061
[67]	train-mlogloss:1.01312	validation-mlogloss:0.99669
[68]	train-mlogloss:1.00942	validation-mlogloss:0.99282
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[369]	train-mlogloss:0.62160	validation-mlogloss:0.57300
[370]	train-mlogloss:0.62131	validation-mlogloss:0.57267
[371]	train-mlogloss:0.62097	validation-mlogloss:0.57226
[372]	train-mlogloss:0.62059	validation-mlogloss:0.57186
[373]	train-mlogloss:0.62028	validation-mlogloss:0.57154
[374]	train-mlogloss:0.62011	validation-mlogloss:0.57135
[375]	train-mlogloss:0.61978	validation-mlogloss:0.57096
[376]	train-mlogloss:0.61942	validation-mlogloss:0.57051
[377]	train-mlogloss:0.61909	validation-mlogloss:0.57011
[378]	train-mlogloss:0.61879	validation-mlogloss:0.56973
[379]	train-mlogloss:0.61849	validation-mlogloss:0.56932
[380]	train-mlogloss:0.61824	validation-mlogloss:0.56901
Saved model to disk.
[36m(train_xgb_ray_tune pid=1476150)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454[32m [repeated 19x across cluster][0m
[36m(train_xgb_ray_tune pid=1476150)[0m   _log_deprecation_warning([32m [repeated 19x across cluster][0m
2025-11-06 16:25:37.456884: 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`.
2025-11-06 16:25:37.468363: 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 00:00:1762442737.481909 1477821 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442737.485924 1477821 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442737.496028 1477821 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442737.496051 1477821 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442737.496054 1477821 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442737.496055 1477821 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:25:37.499217: 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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[24]	train-mlogloss:1.21330	validation-mlogloss:1.20379
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[45]	train-mlogloss:1.10368	validation-mlogloss:1.08860
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[90]	train-mlogloss:0.93605	validation-mlogloss:0.91294
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[149]	train-mlogloss:0.80298	validation-mlogloss:0.77205
[150]	train-mlogloss:0.80128	validation-mlogloss:0.77024
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[265]	train-mlogloss:0.67297	validation-mlogloss:0.62895
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[268]	train-mlogloss:0.67085	validation-mlogloss:0.62653
[269]	train-mlogloss:0.67022	validation-mlogloss:0.62581
[270]	train-mlogloss:0.66953	validation-mlogloss:0.62504
[271]	train-mlogloss:0.66883	validation-mlogloss:0.62430
[272]	train-mlogloss:0.66819	validation-mlogloss:0.62356
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[274]	train-mlogloss:0.66690	validation-mlogloss:0.62208
[275]	train-mlogloss:0.66636	validation-mlogloss:0.62149
[276]	train-mlogloss:0.66575	validation-mlogloss:0.62082
[277]	train-mlogloss:0.66520	validation-mlogloss:0.62025
[278]	train-mlogloss:0.66467	validation-mlogloss:0.61965
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[280]	train-mlogloss:0.66345	validation-mlogloss:0.61822
[281]	train-mlogloss:0.66280	validation-mlogloss:0.61744
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[283]	train-mlogloss:0.66153	validation-mlogloss:0.61594
[284]	train-mlogloss:0.66094	validation-mlogloss:0.61529
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[286]	train-mlogloss:0.65983	validation-mlogloss:0.61408
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[288]	train-mlogloss:0.65863	validation-mlogloss:0.61272
[289]	train-mlogloss:0.65811	validation-mlogloss:0.61221
[290]	train-mlogloss:0.65754	validation-mlogloss:0.61149
[291]	train-mlogloss:0.65697	validation-mlogloss:0.61083
[292]	train-mlogloss:0.65644	validation-mlogloss:0.61020
[293]	train-mlogloss:0.65593	validation-mlogloss:0.60963
[294]	train-mlogloss:0.65538	validation-mlogloss:0.60902
[295]	train-mlogloss:0.65480	validation-mlogloss:0.60840
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[300]	train-mlogloss:0.65219	validation-mlogloss:0.60543
[301]	train-mlogloss:0.65170	validation-mlogloss:0.60489
[302]	train-mlogloss:0.65117	validation-mlogloss:0.60433
[303]	train-mlogloss:0.65061	validation-mlogloss:0.60370
[304]	train-mlogloss:0.65014	validation-mlogloss:0.60320
[305]	train-mlogloss:0.64960	validation-mlogloss:0.60264
[306]	train-mlogloss:0.64906	validation-mlogloss:0.60207
[307]	train-mlogloss:0.64850	validation-mlogloss:0.60137
[308]	train-mlogloss:0.64796	validation-mlogloss:0.60074
[309]	train-mlogloss:0.64745	validation-mlogloss:0.60021
[310]	train-mlogloss:0.64688	validation-mlogloss:0.59950
[311]	train-mlogloss:0.64648	validation-mlogloss:0.59902
[312]	train-mlogloss:0.64592	validation-mlogloss:0.59834
[313]	train-mlogloss:0.64541	validation-mlogloss:0.59776
[314]	train-mlogloss:0.64488	validation-mlogloss:0.59715
[315]	train-mlogloss:0.64439	validation-mlogloss:0.59665
[316]	train-mlogloss:0.64389	validation-mlogloss:0.59605
[317]	train-mlogloss:0.64335	validation-mlogloss:0.59548
[318]	train-mlogloss:0.64288	validation-mlogloss:0.59497
[319]	train-mlogloss:0.64236	validation-mlogloss:0.59440
[320]	train-mlogloss:0.64199	validation-mlogloss:0.59398
[321]	train-mlogloss:0.64154	validation-mlogloss:0.59348
[322]	train-mlogloss:0.64105	validation-mlogloss:0.59296
[323]	train-mlogloss:0.64046	validation-mlogloss:0.59230
[324]	train-mlogloss:0.64004	validation-mlogloss:0.59181
[325]	train-mlogloss:0.63953	validation-mlogloss:0.59122
[326]	train-mlogloss:0.63909	validation-mlogloss:0.59072
[327]	train-mlogloss:0.63868	validation-mlogloss:0.59029
[328]	train-mlogloss:0.63819	validation-mlogloss:0.58977
[329]	train-mlogloss:0.63773	validation-mlogloss:0.58926
[330]	train-mlogloss:0.63730	validation-mlogloss:0.58880
[331]	train-mlogloss:0.63691	validation-mlogloss:0.58836
[332]	train-mlogloss:0.63645	validation-mlogloss:0.58775
[333]	train-mlogloss:0.63599	validation-mlogloss:0.58726
[334]	train-mlogloss:0.63553	validation-mlogloss:0.58674
[335]	train-mlogloss:0.63503	validation-mlogloss:0.58621
[336]	train-mlogloss:0.63466	validation-mlogloss:0.58579
[337]	train-mlogloss:0.63426	validation-mlogloss:0.58535
[338]	train-mlogloss:0.63388	validation-mlogloss:0.58494
[339]	train-mlogloss:0.63338	validation-mlogloss:0.58445
[340]	train-mlogloss:0.63292	validation-mlogloss:0.58390
[341]	train-mlogloss:0.63252	validation-mlogloss:0.58341
[342]	train-mlogloss:0.63217	validation-mlogloss:0.58303
[343]	train-mlogloss:0.63172	validation-mlogloss:0.58255
[344]	train-mlogloss:0.63125	validation-mlogloss:0.58206
[345]	train-mlogloss:0.63094	validation-mlogloss:0.58168
[346]	train-mlogloss:0.63055	validation-mlogloss:0.58125
[347]	train-mlogloss:0.63011	validation-mlogloss:0.58069
[348]	train-mlogloss:0.62976	validation-mlogloss:0.58032
[349]	train-mlogloss:0.62942	validation-mlogloss:0.57990
[350]	train-mlogloss:0.62900	validation-mlogloss:0.57946
[351]	train-mlogloss:0.62859	validation-mlogloss:0.57895
[352]	train-mlogloss:0.62813	validation-mlogloss:0.57844
[353]	train-mlogloss:0.62773	validation-mlogloss:0.57796
[354]	train-mlogloss:0.62737	validation-mlogloss:0.57756
[355]	train-mlogloss:0.62701	validation-mlogloss:0.57719
[356]	train-mlogloss:0.62667	validation-mlogloss:0.57680
[357]	train-mlogloss:0.62632	validation-mlogloss:0.57639
[358]	train-mlogloss:0.62597	validation-mlogloss:0.57600
[359]	train-mlogloss:0.62560	validation-mlogloss:0.57558
[360]	train-mlogloss:0.62526	validation-mlogloss:0.57521
[361]	train-mlogloss:0.62492	validation-mlogloss:0.57480
[362]	train-mlogloss:0.62458	validation-mlogloss:0.57445
[363]	train-mlogloss:0.62421	validation-mlogloss:0.57403
[364]	train-mlogloss:0.62389	validation-mlogloss:0.57367
[365]	train-mlogloss:0.62355	validation-mlogloss:0.57326
[366]	train-mlogloss:0.62330	validation-mlogloss:0.57297
[367]	train-mlogloss:0.62300	validation-mlogloss:0.57264
[368]	train-mlogloss:0.62266	validation-mlogloss:0.57232
[369]	train-mlogloss:0.62233	validation-mlogloss:0.57194
[370]	train-mlogloss:0.62203	validation-mlogloss:0.57160
[371]	train-mlogloss:0.62165	validation-mlogloss:0.57117
[372]	train-mlogloss:0.62129	validation-mlogloss:0.57080
[373]	train-mlogloss:0.62096	validation-mlogloss:0.57039
[374]	train-mlogloss:0.62059	validation-mlogloss:0.56999
[375]	train-mlogloss:0.62030	validation-mlogloss:0.56971
[376]	train-mlogloss:0.62000	validation-mlogloss:0.56933
[377]	train-mlogloss:0.61965	validation-mlogloss:0.56895
[378]	train-mlogloss:0.61939	validation-mlogloss:0.56865
[379]	train-mlogloss:0.61910	validation-mlogloss:0.56830
[380]	train-mlogloss:0.61881	validation-mlogloss:0.56798
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 1 1 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.98 [%]
Global accuracy score (test) = 78.06 [%]
Global F1 score (train) = 76.22 [%]
Global F1 score (test) = 78.8 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.65      0.63       350
MODERATE-INTENSITY       0.61      0.63      0.62       350
         SEDENTARY       0.99      0.96      0.97       350
VIGOROUS-INTENSITY       0.98      0.90      0.94       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.79      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 1: 78.06 [%]
F1-score capturado en la ejecución 1: 78.8 [%]

=== EJECUCIÓN 2 ===

--- TRAIN (ejecución 2) ---

--- TEST (ejecución 2) ---
2025-11-06 16:25:48.548406: 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`.
2025-11-06 16:25:48.560582: 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 00:00:1762442748.573883 1478088 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442748.577980 1478088 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442748.587854 1478088 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442748.587874 1478088 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442748.587876 1478088 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442748.587878 1478088 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:25:48.590864: 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:1.37839	validation-mlogloss:1.37813
[1]	train-mlogloss:1.37034	validation-mlogloss:1.36970
[2]	train-mlogloss:1.36261	validation-mlogloss:1.36165
[3]	train-mlogloss:1.35480	validation-mlogloss:1.35350
[4]	train-mlogloss:1.34711	validation-mlogloss:1.34560
[5]	train-mlogloss:1.33983	validation-mlogloss:1.33815
[6]	train-mlogloss:1.33235	validation-mlogloss:1.33037
[7]	train-mlogloss:1.32492	validation-mlogloss:1.32266
[8]	train-mlogloss:1.31759	validation-mlogloss:1.31493
[9]	train-mlogloss:1.31042	validation-mlogloss:1.30744
[10]	train-mlogloss:1.30325	validation-mlogloss:1.29998
[11]	train-mlogloss:1.29627	validation-mlogloss:1.29270
[12]	train-mlogloss:1.28932	validation-mlogloss:1.28541
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[313]	train-mlogloss:0.64552	validation-mlogloss:0.60211
[314]	train-mlogloss:0.64509	validation-mlogloss:0.60162
[315]	train-mlogloss:0.64456	validation-mlogloss:0.60100
[316]	train-mlogloss:0.64413	validation-mlogloss:0.60049
[317]	train-mlogloss:0.64363	validation-mlogloss:0.59998
[318]	train-mlogloss:0.64315	validation-mlogloss:0.59940
[319]	train-mlogloss:0.64264	validation-mlogloss:0.59888
[320]	train-mlogloss:0.64213	validation-mlogloss:0.59827
[321]	train-mlogloss:0.64169	validation-mlogloss:0.59779
[322]	train-mlogloss:0.64120	validation-mlogloss:0.59725
[323]	train-mlogloss:0.64075	validation-mlogloss:0.59676
[324]	train-mlogloss:0.64027	validation-mlogloss:0.59619
[325]	train-mlogloss:0.63986	validation-mlogloss:0.59571
[326]	train-mlogloss:0.63938	validation-mlogloss:0.59513
[327]	train-mlogloss:0.63892	validation-mlogloss:0.59458
[328]	train-mlogloss:0.63845	validation-mlogloss:0.59411
[329]	train-mlogloss:0.63803	validation-mlogloss:0.59359
[330]	train-mlogloss:0.63759	validation-mlogloss:0.59306
[331]	train-mlogloss:0.63709	validation-mlogloss:0.59249
[332]	train-mlogloss:0.63666	validation-mlogloss:0.59199
[333]	train-mlogloss:0.63625	validation-mlogloss:0.59155
[334]	train-mlogloss:0.63581	validation-mlogloss:0.59108
[335]	train-mlogloss:0.63538	validation-mlogloss:0.59064
[336]	train-mlogloss:0.63501	validation-mlogloss:0.59026
[337]	train-mlogloss:0.63463	validation-mlogloss:0.58989
[338]	train-mlogloss:0.63420	validation-mlogloss:0.58937
[339]	train-mlogloss:0.63380	validation-mlogloss:0.58894
[340]	train-mlogloss:0.63332	validation-mlogloss:0.58844
[341]	train-mlogloss:0.63297	validation-mlogloss:0.58801
[342]	train-mlogloss:0.63255	validation-mlogloss:0.58753
[343]	train-mlogloss:0.63214	validation-mlogloss:0.58707
[344]	train-mlogloss:0.63179	validation-mlogloss:0.58670
[345]	train-mlogloss:0.63139	validation-mlogloss:0.58624
[346]	train-mlogloss:0.63108	validation-mlogloss:0.58591
[347]	train-mlogloss:0.63071	validation-mlogloss:0.58549
[348]	train-mlogloss:0.63024	validation-mlogloss:0.58495
[349]	train-mlogloss:0.62990	validation-mlogloss:0.58456
[350]	train-mlogloss:0.62952	validation-mlogloss:0.58414
[351]	train-mlogloss:0.62911	validation-mlogloss:0.58369
[352]	train-mlogloss:0.62869	validation-mlogloss:0.58323
[353]	train-mlogloss:0.62837	validation-mlogloss:0.58286
[354]	train-mlogloss:0.62802	validation-mlogloss:0.58245
[355]	train-mlogloss:0.62765	validation-mlogloss:0.58208
[356]	train-mlogloss:0.62728	validation-mlogloss:0.58168
[357]	train-mlogloss:0.62684	validation-mlogloss:0.58125
[358]	train-mlogloss:0.62647	validation-mlogloss:0.58080
[359]	train-mlogloss:0.62611	validation-mlogloss:0.58037
[360]	train-mlogloss:0.62571	validation-mlogloss:0.57991
[361]	train-mlogloss:0.62521	validation-mlogloss:0.57938
[362]	train-mlogloss:0.62488	validation-mlogloss:0.57903
[363]	train-mlogloss:0.62452	validation-mlogloss:0.57860
[364]	train-mlogloss:0.62422	validation-mlogloss:0.57823
[365]	train-mlogloss:0.62382	validation-mlogloss:0.57775
[366]	train-mlogloss:0.62353	validation-mlogloss:0.57742
[367]	train-mlogloss:0.62314	validation-mlogloss:0.57699
[368]	train-mlogloss:0.62285	validation-mlogloss:0.57665
[369]	train-mlogloss:0.62250	validation-mlogloss:0.57627
[370]	train-mlogloss:0.62223	validation-mlogloss:0.57596
[371]	train-mlogloss:0.62192	validation-mlogloss:0.57557
[372]	train-mlogloss:0.62167	validation-mlogloss:0.57532
[373]	train-mlogloss:0.62139	validation-mlogloss:0.57496
[374]	train-mlogloss:0.62094	validation-mlogloss:0.57450
[375]	train-mlogloss:0.62059	validation-mlogloss:0.57411
[376]	train-mlogloss:0.62023	validation-mlogloss:0.57363
[377]	train-mlogloss:0.61989	validation-mlogloss:0.57326
[378]	train-mlogloss:0.61960	validation-mlogloss:0.57294
[379]	train-mlogloss:0.61929	validation-mlogloss:0.57257
[380]	train-mlogloss:0.61906	validation-mlogloss:0.57234
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 1 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.73 [%]
Global accuracy score (test) = 78.28 [%]
Global F1 score (train) = 74.83 [%]
Global F1 score (test) = 78.91 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.61      0.61       350
MODERATE-INTENSITY       0.61      0.68      0.64       350
         SEDENTARY       0.99      0.97      0.98       350
VIGOROUS-INTENSITY       0.97      0.89      0.93       322

          accuracy                           0.78      1372
         macro avg       0.80      0.78      0.79      1372
      weighted avg       0.79      0.78      0.79      1372


Accuracy capturado en la ejecución 2: 78.28 [%]
F1-score capturado en la ejecución 2: 78.91 [%]

=== EJECUCIÓN 3 ===

--- TRAIN (ejecución 3) ---

--- TEST (ejecución 3) ---
2025-11-06 16:25:59.959046: 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`.
2025-11-06 16:25:59.970445: 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 00:00:1762442759.983628 1478336 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442759.987763 1478336 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442759.997581 1478336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442759.997601 1478336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442759.997603 1478336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442759.997611 1478336 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:00.000764: 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:1.37803	validation-mlogloss:1.37777
[1]	train-mlogloss:1.36988	validation-mlogloss:1.36930
[2]	train-mlogloss:1.36185	validation-mlogloss:1.36100
[3]	train-mlogloss:1.35397	validation-mlogloss:1.35284
[4]	train-mlogloss:1.34620	validation-mlogloss:1.34478
[5]	train-mlogloss:1.33862	validation-mlogloss:1.33683
[6]	train-mlogloss:1.33108	validation-mlogloss:1.32898
[7]	train-mlogloss:1.32360	validation-mlogloss:1.32121
[8]	train-mlogloss:1.31631	validation-mlogloss:1.31357
[9]	train-mlogloss:1.30915	validation-mlogloss:1.30622
[10]	train-mlogloss:1.30205	validation-mlogloss:1.29877
[11]	train-mlogloss:1.29511	validation-mlogloss:1.29153
[12]	train-mlogloss:1.28843	validation-mlogloss:1.28450
[13]	train-mlogloss:1.28160	validation-mlogloss:1.27759
[14]	train-mlogloss:1.27488	validation-mlogloss:1.27053
[15]	train-mlogloss:1.26830	validation-mlogloss:1.26372
[16]	train-mlogloss:1.26173	validation-mlogloss:1.25687
[17]	train-mlogloss:1.25514	validation-mlogloss:1.25008
[18]	train-mlogloss:1.24872	validation-mlogloss:1.24323
[19]	train-mlogloss:1.24236	validation-mlogloss:1.23676
[20]	train-mlogloss:1.23621	validation-mlogloss:1.23046
[21]	train-mlogloss:1.23005	validation-mlogloss:1.22410
[22]	train-mlogloss:1.22402	validation-mlogloss:1.21783
[23]	train-mlogloss:1.21799	validation-mlogloss:1.21163
[24]	train-mlogloss:1.21200	validation-mlogloss:1.20554
[25]	train-mlogloss:1.20604	validation-mlogloss:1.19938
[26]	train-mlogloss:1.20022	validation-mlogloss:1.19334
[27]	train-mlogloss:1.19440	validation-mlogloss:1.18730
[28]	train-mlogloss:1.18875	validation-mlogloss:1.18139
[29]	train-mlogloss:1.18315	validation-mlogloss:1.17556
[30]	train-mlogloss:1.17764	validation-mlogloss:1.16979
[31]	train-mlogloss:1.17228	validation-mlogloss:1.16424
[32]	train-mlogloss:1.16687	validation-mlogloss:1.15863
[33]	train-mlogloss:1.16162	validation-mlogloss:1.15309
[34]	train-mlogloss:1.15637	validation-mlogloss:1.14764
[35]	train-mlogloss:1.15128	validation-mlogloss:1.14229
[36]	train-mlogloss:1.14614	validation-mlogloss:1.13703
[37]	train-mlogloss:1.14107	validation-mlogloss:1.13180
[38]	train-mlogloss:1.13604	validation-mlogloss:1.12659
[39]	train-mlogloss:1.13110	validation-mlogloss:1.12143
[40]	train-mlogloss:1.12632	validation-mlogloss:1.11652
[41]	train-mlogloss:1.12143	validation-mlogloss:1.11141
[42]	train-mlogloss:1.11664	validation-mlogloss:1.10641
[43]	train-mlogloss:1.11188	validation-mlogloss:1.10149
[44]	train-mlogloss:1.10719	validation-mlogloss:1.09668
[45]	train-mlogloss:1.10256	validation-mlogloss:1.09184
[46]	train-mlogloss:1.09796	validation-mlogloss:1.08707
[47]	train-mlogloss:1.09326	validation-mlogloss:1.08221
[48]	train-mlogloss:1.08867	validation-mlogloss:1.07747
[49]	train-mlogloss:1.08409	validation-mlogloss:1.07274
[50]	train-mlogloss:1.07967	validation-mlogloss:1.06819
[51]	train-mlogloss:1.07526	validation-mlogloss:1.06364
[52]	train-mlogloss:1.07091	validation-mlogloss:1.05922
[53]	train-mlogloss:1.06650	validation-mlogloss:1.05465
[54]	train-mlogloss:1.06213	validation-mlogloss:1.05013
[55]	train-mlogloss:1.05798	validation-mlogloss:1.04578
[56]	train-mlogloss:1.05384	validation-mlogloss:1.04151
[57]	train-mlogloss:1.04969	validation-mlogloss:1.03728
[58]	train-mlogloss:1.04557	validation-mlogloss:1.03299
[59]	train-mlogloss:1.04140	validation-mlogloss:1.02870
[60]	train-mlogloss:1.03749	validation-mlogloss:1.02458
[61]	train-mlogloss:1.03340	validation-mlogloss:1.02027
[62]	train-mlogloss:1.02945	validation-mlogloss:1.01602
[63]	train-mlogloss:1.02568	validation-mlogloss:1.01200
[64]	train-mlogloss:1.02180	validation-mlogloss:1.00799
[65]	train-mlogloss:1.01799	validation-mlogloss:1.00402
[66]	train-mlogloss:1.01432	validation-mlogloss:1.00020
[67]	train-mlogloss:1.01053	validation-mlogloss:0.99631
[68]	train-mlogloss:1.00679	validation-mlogloss:0.99239
[69]	train-mlogloss:1.00309	validation-mlogloss:0.98859
[70]	train-mlogloss:0.99941	validation-mlogloss:0.98479
[71]	train-mlogloss:0.99577	validation-mlogloss:0.98112
[72]	train-mlogloss:0.99221	validation-mlogloss:0.97735
[73]	train-mlogloss:0.98865	validation-mlogloss:0.97364
[74]	train-mlogloss:0.98509	validation-mlogloss:0.96989
[75]	train-mlogloss:0.98165	validation-mlogloss:0.96627
[76]	train-mlogloss:0.97824	validation-mlogloss:0.96263
[77]	train-mlogloss:0.97487	validation-mlogloss:0.95908
[78]	train-mlogloss:0.97153	validation-mlogloss:0.95560
[79]	train-mlogloss:0.96824	validation-mlogloss:0.95221
[80]	train-mlogloss:0.96495	validation-mlogloss:0.94891
[81]	train-mlogloss:0.96170	validation-mlogloss:0.94556
[82]	train-mlogloss:0.95851	validation-mlogloss:0.94228
[83]	train-mlogloss:0.95543	validation-mlogloss:0.93908
[84]	train-mlogloss:0.95230	validation-mlogloss:0.93579
[85]	train-mlogloss:0.94905	validation-mlogloss:0.93232
[86]	train-mlogloss:0.94587	validation-mlogloss:0.92898
[87]	train-mlogloss:0.94271	validation-mlogloss:0.92571
[88]	train-mlogloss:0.93953	validation-mlogloss:0.92229
[89]	train-mlogloss:0.93649	validation-mlogloss:0.91905
[90]	train-mlogloss:0.93358	validation-mlogloss:0.91600
[91]	train-mlogloss:0.93070	validation-mlogloss:0.91302
[92]	train-mlogloss:0.92785	validation-mlogloss:0.91000
[93]	train-mlogloss:0.92494	validation-mlogloss:0.90691
[94]	train-mlogloss:0.92196	validation-mlogloss:0.90368
[95]	train-mlogloss:0.91914	validation-mlogloss:0.90075
[96]	train-mlogloss:0.91622	validation-mlogloss:0.89765
[97]	train-mlogloss:0.91336	validation-mlogloss:0.89464
[98]	train-mlogloss:0.91059	validation-mlogloss:0.89178
[99]	train-mlogloss:0.90789	validation-mlogloss:0.88893
[100]	train-mlogloss:0.90507	validation-mlogloss:0.88600
[101]	train-mlogloss:0.90233	validation-mlogloss:0.88312
[102]	train-mlogloss:0.89973	validation-mlogloss:0.88047
[103]	train-mlogloss:0.89715	validation-mlogloss:0.87776
[104]	train-mlogloss:0.89446	validation-mlogloss:0.87486
[105]	train-mlogloss:0.89183	validation-mlogloss:0.87208
[106]	train-mlogloss:0.88933	validation-mlogloss:0.86947
[107]	train-mlogloss:0.88682	validation-mlogloss:0.86690
[108]	train-mlogloss:0.88427	validation-mlogloss:0.86415
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 2 ... 1 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.73 [%]
Global accuracy score (test) = 78.43 [%]
Global F1 score (train) = 74.86 [%]
Global F1 score (test) = 79.13 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.64      0.59      0.61       350
MODERATE-INTENSITY       0.59      0.71      0.65       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.98      0.90      0.94       322

          accuracy                           0.78      1372
         macro avg       0.80      0.79      0.79      1372
      weighted avg       0.80      0.78      0.79      1372


Accuracy capturado en la ejecución 3: 78.43 [%]
F1-score capturado en la ejecución 3: 79.13 [%]

=== EJECUCIÓN 4 ===

--- TRAIN (ejecución 4) ---

--- TEST (ejecución 4) ---
2025-11-06 16:26:11.046790: 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`.
2025-11-06 16:26:11.058305: 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 00:00:1762442771.071803 1478582 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442771.075946 1478582 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442771.085992 1478582 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442771.086019 1478582 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442771.086021 1478582 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442771.086022 1478582 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:11.089078: 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:1.37822	validation-mlogloss:1.37784
[1]	train-mlogloss:1.37042	validation-mlogloss:1.36962
[2]	train-mlogloss:1.36259	validation-mlogloss:1.36132
[3]	train-mlogloss:1.35491	validation-mlogloss:1.35323
[4]	train-mlogloss:1.34727	validation-mlogloss:1.34527
[5]	train-mlogloss:1.33973	validation-mlogloss:1.33735
[6]	train-mlogloss:1.33228	validation-mlogloss:1.32951
[7]	train-mlogloss:1.32503	validation-mlogloss:1.32181
[8]	train-mlogloss:1.31781	validation-mlogloss:1.31407
[9]	train-mlogloss:1.31069	validation-mlogloss:1.30646
[10]	train-mlogloss:1.30370	validation-mlogloss:1.29909
[11]	train-mlogloss:1.29678	validation-mlogloss:1.29172
[12]	train-mlogloss:1.28993	validation-mlogloss:1.28455
[13]	train-mlogloss:1.28332	validation-mlogloss:1.27751
[14]	train-mlogloss:1.27669	validation-mlogloss:1.27054
[15]	train-mlogloss:1.27017	validation-mlogloss:1.26365
[16]	train-mlogloss:1.26367	validation-mlogloss:1.25686
[17]	train-mlogloss:1.25727	validation-mlogloss:1.25014
[18]	train-mlogloss:1.25097	validation-mlogloss:1.24355
[19]	train-mlogloss:1.24470	validation-mlogloss:1.23680
[20]	train-mlogloss:1.23857	validation-mlogloss:1.23036
[21]	train-mlogloss:1.23251	validation-mlogloss:1.22392
[22]	train-mlogloss:1.22655	validation-mlogloss:1.21759
[23]	train-mlogloss:1.22071	validation-mlogloss:1.21140
[24]	train-mlogloss:1.21493	validation-mlogloss:1.20535
[25]	train-mlogloss:1.20922	validation-mlogloss:1.19936
[26]	train-mlogloss:1.20355	validation-mlogloss:1.19335
[27]	train-mlogloss:1.19790	validation-mlogloss:1.18736
[28]	train-mlogloss:1.19234	validation-mlogloss:1.18146
[29]	train-mlogloss:1.18687	validation-mlogloss:1.17577
[30]	train-mlogloss:1.18144	validation-mlogloss:1.17016
[31]	train-mlogloss:1.17609	validation-mlogloss:1.16438
[32]	train-mlogloss:1.17078	validation-mlogloss:1.15875
[33]	train-mlogloss:1.16561	validation-mlogloss:1.15329
[34]	train-mlogloss:1.16048	validation-mlogloss:1.14791
[35]	train-mlogloss:1.15547	validation-mlogloss:1.14274
[36]	train-mlogloss:1.15023	validation-mlogloss:1.13735
[37]	train-mlogloss:1.14505	validation-mlogloss:1.13191
[38]	train-mlogloss:1.14002	validation-mlogloss:1.12655
[39]	train-mlogloss:1.13496	validation-mlogloss:1.12129
[40]	train-mlogloss:1.13008	validation-mlogloss:1.11612
[41]	train-mlogloss:1.12529	validation-mlogloss:1.11134
[42]	train-mlogloss:1.12040	validation-mlogloss:1.10626
[43]	train-mlogloss:1.11573	validation-mlogloss:1.10122
[44]	train-mlogloss:1.11116	validation-mlogloss:1.09643
[45]	train-mlogloss:1.10661	validation-mlogloss:1.09149
[46]	train-mlogloss:1.10198	validation-mlogloss:1.08675
[47]	train-mlogloss:1.09762	validation-mlogloss:1.08206
[48]	train-mlogloss:1.09310	validation-mlogloss:1.07738
[49]	train-mlogloss:1.08863	validation-mlogloss:1.07264
[50]	train-mlogloss:1.08415	validation-mlogloss:1.06799
[51]	train-mlogloss:1.07979	validation-mlogloss:1.06347
[52]	train-mlogloss:1.07541	validation-mlogloss:1.05890
[53]	train-mlogloss:1.07121	validation-mlogloss:1.05459
[54]	train-mlogloss:1.06693	validation-mlogloss:1.05015
[55]	train-mlogloss:1.06272	validation-mlogloss:1.04578
[56]	train-mlogloss:1.05853	validation-mlogloss:1.04148
[57]	train-mlogloss:1.05444	validation-mlogloss:1.03724
[58]	train-mlogloss:1.05033	validation-mlogloss:1.03296
[59]	train-mlogloss:1.04627	validation-mlogloss:1.02867
[60]	train-mlogloss:1.04229	validation-mlogloss:1.02450
[61]	train-mlogloss:1.03837	validation-mlogloss:1.02045
[62]	train-mlogloss:1.03462	validation-mlogloss:1.01637
[63]	train-mlogloss:1.03085	validation-mlogloss:1.01228
[64]	train-mlogloss:1.02704	validation-mlogloss:1.00832
[65]	train-mlogloss:1.02323	validation-mlogloss:1.00435
[66]	train-mlogloss:1.01943	validation-mlogloss:1.00046
[67]	train-mlogloss:1.01579	validation-mlogloss:0.99671
[68]	train-mlogloss:1.01214	validation-mlogloss:0.99283
[69]	train-mlogloss:1.00852	validation-mlogloss:0.98908
[70]	train-mlogloss:1.00488	validation-mlogloss:0.98528
[71]	train-mlogloss:1.00142	validation-mlogloss:0.98169
[72]	train-mlogloss:0.99805	validation-mlogloss:0.97806
[73]	train-mlogloss:0.99469	validation-mlogloss:0.97446
[74]	train-mlogloss:0.99135	validation-mlogloss:0.97090
[75]	train-mlogloss:0.98793	validation-mlogloss:0.96734
[76]	train-mlogloss:0.98461	validation-mlogloss:0.96396
[77]	train-mlogloss:0.98130	validation-mlogloss:0.96048
[78]	train-mlogloss:0.97800	validation-mlogloss:0.95699
[79]	train-mlogloss:0.97472	validation-mlogloss:0.95349
[80]	train-mlogloss:0.97151	validation-mlogloss:0.95009
[81]	train-mlogloss:0.96826	validation-mlogloss:0.94664
[82]	train-mlogloss:0.96505	validation-mlogloss:0.94321
[83]	train-mlogloss:0.96203	validation-mlogloss:0.93990
[84]	train-mlogloss:0.95894	validation-mlogloss:0.93666
[85]	train-mlogloss:0.95583	validation-mlogloss:0.93336
[86]	train-mlogloss:0.95282	validation-mlogloss:0.93026
[87]	train-mlogloss:0.94979	validation-mlogloss:0.92701
[88]	train-mlogloss:0.94684	validation-mlogloss:0.92388
[89]	train-mlogloss:0.94391	validation-mlogloss:0.92076
[90]	train-mlogloss:0.94099	validation-mlogloss:0.91770
[91]	train-mlogloss:0.93812	validation-mlogloss:0.91471
[92]	train-mlogloss:0.93529	validation-mlogloss:0.91170
[93]	train-mlogloss:0.93246	validation-mlogloss:0.90876
[94]	train-mlogloss:0.92968	validation-mlogloss:0.90582
[95]	train-mlogloss:0.92697	validation-mlogloss:0.90303
[96]	train-mlogloss:0.92422	validation-mlogloss:0.90013
[97]	train-mlogloss:0.92152	validation-mlogloss:0.89730
[98]	train-mlogloss:0.91884	validation-mlogloss:0.89456
[99]	train-mlogloss:0.91619	validation-mlogloss:0.89174
[100]	train-mlogloss:0.91357	validation-mlogloss:0.88896
[101]	train-mlogloss:0.91087	validation-mlogloss:0.88602
[102]	train-mlogloss:0.90824	validation-mlogloss:0.88325
[103]	train-mlogloss:0.90575	validation-mlogloss:0.88060
[104]	train-mlogloss:0.90318	validation-mlogloss:0.87784
[105]	train-mlogloss:0.90056	validation-mlogloss:0.87504
[106]	train-mlogloss:0.89808	validation-mlogloss:0.87239
[107]	train-mlogloss:0.89553	validation-mlogloss:0.86959
[108]	train-mlogloss:0.89311	validation-mlogloss:0.86714
[109]	train-mlogloss:0.89061	validation-mlogloss:0.86431
[110]	train-mlogloss:0.88826	validation-mlogloss:0.86189
[111]	train-mlogloss:0.88591	validation-mlogloss:0.85949
[112]	train-mlogloss:0.88358	validation-mlogloss:0.85705
[113]	train-mlogloss:0.88123	validation-mlogloss:0.85463
[114]	train-mlogloss:0.87894	validation-mlogloss:0.85219
[115]	train-mlogloss:0.87668	validation-mlogloss:0.84978
[116]	train-mlogloss:0.87443	validation-mlogloss:0.84740
[117]	train-mlogloss:0.87221	validation-mlogloss:0.84493
[118]	train-mlogloss:0.86989	validation-mlogloss:0.84235
[119]	train-mlogloss:0.86767	validation-mlogloss:0.83995
[120]	train-mlogloss:0.86536	validation-mlogloss:0.83749
[121]	train-mlogloss:0.86324	validation-mlogloss:0.83526
[122]	train-mlogloss:0.86101	validation-mlogloss:0.83272
[123]	train-mlogloss:0.85898	validation-mlogloss:0.83057
[124]	train-mlogloss:0.85688	validation-mlogloss:0.82838
[125]	train-mlogloss:0.85468	validation-mlogloss:0.82598
[126]	train-mlogloss:0.85267	validation-mlogloss:0.82386
[127]	train-mlogloss:0.85059	validation-mlogloss:0.82159
[128]	train-mlogloss:0.84858	validation-mlogloss:0.81942
[129]	train-mlogloss:0.84657	validation-mlogloss:0.81722
[130]	train-mlogloss:0.84468	validation-mlogloss:0.81520
[131]	train-mlogloss:0.84264	validation-mlogloss:0.81295
[132]	train-mlogloss:0.84076	validation-mlogloss:0.81096
[133]	train-mlogloss:0.83864	validation-mlogloss:0.80856
[134]	train-mlogloss:0.83676	validation-mlogloss:0.80648
[135]	train-mlogloss:0.83471	validation-mlogloss:0.80420
[136]	train-mlogloss:0.83277	validation-mlogloss:0.80207
[137]	train-mlogloss:0.83084	validation-mlogloss:0.79989
[138]	train-mlogloss:0.82888	validation-mlogloss:0.79774
[139]	train-mlogloss:0.82708	validation-mlogloss:0.79580
[140]	train-mlogloss:0.82526	validation-mlogloss:0.79379
[141]	train-mlogloss:0.82347	validation-mlogloss:0.79185
[142]	train-mlogloss:0.82154	validation-mlogloss:0.78982
[143]	train-mlogloss:0.81972	validation-mlogloss:0.78776
[144]	train-mlogloss:0.81794	validation-mlogloss:0.78578
[145]	train-mlogloss:0.81619	validation-mlogloss:0.78386
[146]	train-mlogloss:0.81442	validation-mlogloss:0.78192
[147]	train-mlogloss:0.81273	validation-mlogloss:0.78011
[148]	train-mlogloss:0.81094	validation-mlogloss:0.77815
[149]	train-mlogloss:0.80929	validation-mlogloss:0.77636
[150]	train-mlogloss:0.80752	validation-mlogloss:0.77443
[151]	train-mlogloss:0.80594	validation-mlogloss:0.77274
[152]	train-mlogloss:0.80419	validation-mlogloss:0.77081
[153]	train-mlogloss:0.80245	validation-mlogloss:0.76884
[154]	train-mlogloss:0.80087	validation-mlogloss:0.76714
[155]	train-mlogloss:0.79920	validation-mlogloss:0.76523
[156]	train-mlogloss:0.79768	validation-mlogloss:0.76357
[157]	train-mlogloss:0.79599	validation-mlogloss:0.76174
[158]	train-mlogloss:0.79436	validation-mlogloss:0.76000
[159]	train-mlogloss:0.79274	validation-mlogloss:0.75825
[160]	train-mlogloss:0.79122	validation-mlogloss:0.75655
[161]	train-mlogloss:0.78966	validation-mlogloss:0.75487
[162]	train-mlogloss:0.78810	validation-mlogloss:0.75316
[163]	train-mlogloss:0.78657	validation-mlogloss:0.75137
[164]	train-mlogloss:0.78515	validation-mlogloss:0.74986
[165]	train-mlogloss:0.78372	validation-mlogloss:0.74827
[166]	train-mlogloss:0.78235	validation-mlogloss:0.74674
[167]	train-mlogloss:0.78086	validation-mlogloss:0.74507
[168]	train-mlogloss:0.77934	validation-mlogloss:0.74338
[169]	train-mlogloss:0.77798	validation-mlogloss:0.74174
[170]	train-mlogloss:0.77655	validation-mlogloss:0.74014
[171]	train-mlogloss:0.77513	validation-mlogloss:0.73850
[172]	train-mlogloss:0.77384	validation-mlogloss:0.73705
[173]	train-mlogloss:0.77248	validation-mlogloss:0.73550
[174]	train-mlogloss:0.77101	validation-mlogloss:0.73383
[175]	train-mlogloss:0.76961	validation-mlogloss:0.73227
[176]	train-mlogloss:0.76835	validation-mlogloss:0.73088
[177]	train-mlogloss:0.76705	validation-mlogloss:0.72944
[178]	train-mlogloss:0.76576	validation-mlogloss:0.72792
[179]	train-mlogloss:0.76435	validation-mlogloss:0.72637
[180]	train-mlogloss:0.76305	validation-mlogloss:0.72497
[181]	train-mlogloss:0.76169	validation-mlogloss:0.72343
[182]	train-mlogloss:0.76037	validation-mlogloss:0.72196
[183]	train-mlogloss:0.75914	validation-mlogloss:0.72059
[184]	train-mlogloss:0.75789	validation-mlogloss:0.71920
[185]	train-mlogloss:0.75656	validation-mlogloss:0.71774
[186]	train-mlogloss:0.75529	validation-mlogloss:0.71632
[187]	train-mlogloss:0.75405	validation-mlogloss:0.71492
[188]	train-mlogloss:0.75281	validation-mlogloss:0.71342
[189]	train-mlogloss:0.75164	validation-mlogloss:0.71211
[190]	train-mlogloss:0.75037	validation-mlogloss:0.71067
[191]	train-mlogloss:0.74913	validation-mlogloss:0.70927
[192]	train-mlogloss:0.74784	validation-mlogloss:0.70782
[193]	train-mlogloss:0.74669	validation-mlogloss:0.70652
[194]	train-mlogloss:0.74556	validation-mlogloss:0.70530
[195]	train-mlogloss:0.74438	validation-mlogloss:0.70396
[196]	train-mlogloss:0.74326	validation-mlogloss:0.70267
[197]	train-mlogloss:0.74192	validation-mlogloss:0.70117
[198]	train-mlogloss:0.74076	validation-mlogloss:0.69985
[199]	train-mlogloss:0.73960	validation-mlogloss:0.69849
[200]	train-mlogloss:0.73843	validation-mlogloss:0.69717
[201]	train-mlogloss:0.73735	validation-mlogloss:0.69595
[202]	train-mlogloss:0.73630	validation-mlogloss:0.69483
[203]	train-mlogloss:0.73516	validation-mlogloss:0.69355
[204]	train-mlogloss:0.73401	validation-mlogloss:0.69227
[205]	train-mlogloss:0.73301	validation-mlogloss:0.69109
[206]	train-mlogloss:0.73193	validation-mlogloss:0.68978
[207]	train-mlogloss:0.73092	validation-mlogloss:0.68864
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[267]	train-mlogloss:0.68014	validation-mlogloss:0.63033
[268]	train-mlogloss:0.67946	validation-mlogloss:0.62955
[269]	train-mlogloss:0.67876	validation-mlogloss:0.62873
[270]	train-mlogloss:0.67806	validation-mlogloss:0.62792
[271]	train-mlogloss:0.67731	validation-mlogloss:0.62711
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[276]	train-mlogloss:0.67387	validation-mlogloss:0.62303
[277]	train-mlogloss:0.67319	validation-mlogloss:0.62219
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[279]	train-mlogloss:0.67219	validation-mlogloss:0.62099
[280]	train-mlogloss:0.67151	validation-mlogloss:0.62018
[281]	train-mlogloss:0.67095	validation-mlogloss:0.61949
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[283]	train-mlogloss:0.66974	validation-mlogloss:0.61818
[284]	train-mlogloss:0.66915	validation-mlogloss:0.61749
[285]	train-mlogloss:0.66844	validation-mlogloss:0.61662
[286]	train-mlogloss:0.66782	validation-mlogloss:0.61593
[287]	train-mlogloss:0.66728	validation-mlogloss:0.61524
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[290]	train-mlogloss:0.66553	validation-mlogloss:0.61324
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[299]	train-mlogloss:0.66071	validation-mlogloss:0.60739
[300]	train-mlogloss:0.66023	validation-mlogloss:0.60683
[301]	train-mlogloss:0.65967	validation-mlogloss:0.60613
[302]	train-mlogloss:0.65910	validation-mlogloss:0.60554
[303]	train-mlogloss:0.65857	validation-mlogloss:0.60495
[304]	train-mlogloss:0.65802	validation-mlogloss:0.60430
[305]	train-mlogloss:0.65749	validation-mlogloss:0.60367
[306]	train-mlogloss:0.65698	validation-mlogloss:0.60311
[307]	train-mlogloss:0.65646	validation-mlogloss:0.60253
[308]	train-mlogloss:0.65597	validation-mlogloss:0.60198
[309]	train-mlogloss:0.65546	validation-mlogloss:0.60141
[310]	train-mlogloss:0.65503	validation-mlogloss:0.60093
[311]	train-mlogloss:0.65456	validation-mlogloss:0.60040
[312]	train-mlogloss:0.65402	validation-mlogloss:0.59981
[313]	train-mlogloss:0.65355	validation-mlogloss:0.59925
[314]	train-mlogloss:0.65298	validation-mlogloss:0.59861
[315]	train-mlogloss:0.65245	validation-mlogloss:0.59805
[316]	train-mlogloss:0.65195	validation-mlogloss:0.59752
[317]	train-mlogloss:0.65147	validation-mlogloss:0.59695
[318]	train-mlogloss:0.65107	validation-mlogloss:0.59647
[319]	train-mlogloss:0.65061	validation-mlogloss:0.59596
[320]	train-mlogloss:0.65022	validation-mlogloss:0.59546
[321]	train-mlogloss:0.64976	validation-mlogloss:0.59494
[322]	train-mlogloss:0.64929	validation-mlogloss:0.59436
[323]	train-mlogloss:0.64885	validation-mlogloss:0.59386
[324]	train-mlogloss:0.64846	validation-mlogloss:0.59340
[325]	train-mlogloss:0.64804	validation-mlogloss:0.59290
[326]	train-mlogloss:0.64762	validation-mlogloss:0.59243
[327]	train-mlogloss:0.64708	validation-mlogloss:0.59174
[328]	train-mlogloss:0.64667	validation-mlogloss:0.59130
[329]	train-mlogloss:0.64625	validation-mlogloss:0.59077
[330]	train-mlogloss:0.64582	validation-mlogloss:0.59027
[331]	train-mlogloss:0.64538	validation-mlogloss:0.58979
[332]	train-mlogloss:0.64501	validation-mlogloss:0.58937
[333]	train-mlogloss:0.64461	validation-mlogloss:0.58892
[334]	train-mlogloss:0.64416	validation-mlogloss:0.58838
[335]	train-mlogloss:0.64374	validation-mlogloss:0.58785
[336]	train-mlogloss:0.64335	validation-mlogloss:0.58740
[337]	train-mlogloss:0.64292	validation-mlogloss:0.58689
[338]	train-mlogloss:0.64248	validation-mlogloss:0.58638
[339]	train-mlogloss:0.64207	validation-mlogloss:0.58592
[340]	train-mlogloss:0.64166	validation-mlogloss:0.58537
[341]	train-mlogloss:0.64119	validation-mlogloss:0.58487
[342]	train-mlogloss:0.64075	validation-mlogloss:0.58437
[343]	train-mlogloss:0.64027	validation-mlogloss:0.58379
[344]	train-mlogloss:0.63983	validation-mlogloss:0.58326
[345]	train-mlogloss:0.63940	validation-mlogloss:0.58278
[346]	train-mlogloss:0.63896	validation-mlogloss:0.58229
[347]	train-mlogloss:0.63853	validation-mlogloss:0.58182
[348]	train-mlogloss:0.63816	validation-mlogloss:0.58136
[349]	train-mlogloss:0.63777	validation-mlogloss:0.58095
[350]	train-mlogloss:0.63736	validation-mlogloss:0.58049
[351]	train-mlogloss:0.63701	validation-mlogloss:0.58009
[352]	train-mlogloss:0.63672	validation-mlogloss:0.57967
[353]	train-mlogloss:0.63625	validation-mlogloss:0.57911
[354]	train-mlogloss:0.63588	validation-mlogloss:0.57867
[355]	train-mlogloss:0.63550	validation-mlogloss:0.57824
[356]	train-mlogloss:0.63511	validation-mlogloss:0.57778
[357]	train-mlogloss:0.63465	validation-mlogloss:0.57726
[358]	train-mlogloss:0.63427	validation-mlogloss:0.57684
[359]	train-mlogloss:0.63392	validation-mlogloss:0.57639
[360]	train-mlogloss:0.63358	validation-mlogloss:0.57597
[361]	train-mlogloss:0.63321	validation-mlogloss:0.57556
[362]	train-mlogloss:0.63279	validation-mlogloss:0.57505
[363]	train-mlogloss:0.63238	validation-mlogloss:0.57460
[364]	train-mlogloss:0.63200	validation-mlogloss:0.57413
[365]	train-mlogloss:0.63168	validation-mlogloss:0.57370
[366]	train-mlogloss:0.63130	validation-mlogloss:0.57321
[367]	train-mlogloss:0.63099	validation-mlogloss:0.57285
[368]	train-mlogloss:0.63066	validation-mlogloss:0.57244
[369]	train-mlogloss:0.63038	validation-mlogloss:0.57205
[370]	train-mlogloss:0.63013	validation-mlogloss:0.57177
[371]	train-mlogloss:0.62977	validation-mlogloss:0.57132
[372]	train-mlogloss:0.62945	validation-mlogloss:0.57099
[373]	train-mlogloss:0.62915	validation-mlogloss:0.57065
[374]	train-mlogloss:0.62893	validation-mlogloss:0.57036
[375]	train-mlogloss:0.62866	validation-mlogloss:0.57002
[376]	train-mlogloss:0.62839	validation-mlogloss:0.56970
[377]	train-mlogloss:0.62808	validation-mlogloss:0.56933
[378]	train-mlogloss:0.62787	validation-mlogloss:0.56905
[379]	train-mlogloss:0.62754	validation-mlogloss:0.56872
[380]	train-mlogloss:0.62724	validation-mlogloss:0.56838
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 1 2 ... 1 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.85 [%]
Global accuracy score (test) = 77.33 [%]
Global F1 score (train) = 74.83 [%]
Global F1 score (test) = 78.01 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.57      0.59       350
MODERATE-INTENSITY       0.58      0.69      0.63       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.96      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.78      0.77      0.78      1372


Accuracy capturado en la ejecución 4: 77.33 [%]
F1-score capturado en la ejecución 4: 78.01 [%]

=== EJECUCIÓN 5 ===

--- TRAIN (ejecución 5) ---

--- TEST (ejecución 5) ---
2025-11-06 16:26:22.073993: 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`.
2025-11-06 16:26:22.085572: 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 00:00:1762442782.098587 1478831 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442782.102688 1478831 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442782.112720 1478831 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442782.112740 1478831 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442782.112742 1478831 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442782.112743 1478831 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:22.115767: 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:1.37819	validation-mlogloss:1.37782
[1]	train-mlogloss:1.37021	validation-mlogloss:1.36938
[2]	train-mlogloss:1.36240	validation-mlogloss:1.36126
[3]	train-mlogloss:1.35461	validation-mlogloss:1.35312
[4]	train-mlogloss:1.34688	validation-mlogloss:1.34515
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[305]	train-mlogloss:0.65099	validation-mlogloss:0.60527
[306]	train-mlogloss:0.65047	validation-mlogloss:0.60468
[307]	train-mlogloss:0.64995	validation-mlogloss:0.60408
[308]	train-mlogloss:0.64943	validation-mlogloss:0.60351
[309]	train-mlogloss:0.64893	validation-mlogloss:0.60296
[310]	train-mlogloss:0.64848	validation-mlogloss:0.60237
[311]	train-mlogloss:0.64791	validation-mlogloss:0.60179
[312]	train-mlogloss:0.64737	validation-mlogloss:0.60123
[313]	train-mlogloss:0.64691	validation-mlogloss:0.60070
[314]	train-mlogloss:0.64640	validation-mlogloss:0.60015
[315]	train-mlogloss:0.64600	validation-mlogloss:0.59965
[316]	train-mlogloss:0.64559	validation-mlogloss:0.59917
[317]	train-mlogloss:0.64520	validation-mlogloss:0.59872
[318]	train-mlogloss:0.64469	validation-mlogloss:0.59815
[319]	train-mlogloss:0.64417	validation-mlogloss:0.59759
[320]	train-mlogloss:0.64382	validation-mlogloss:0.59712
[321]	train-mlogloss:0.64332	validation-mlogloss:0.59654
[322]	train-mlogloss:0.64288	validation-mlogloss:0.59606
[323]	train-mlogloss:0.64244	validation-mlogloss:0.59555
[324]	train-mlogloss:0.64196	validation-mlogloss:0.59503
[325]	train-mlogloss:0.64152	validation-mlogloss:0.59455
[326]	train-mlogloss:0.64105	validation-mlogloss:0.59405
[327]	train-mlogloss:0.64063	validation-mlogloss:0.59357
[328]	train-mlogloss:0.64023	validation-mlogloss:0.59313
[329]	train-mlogloss:0.63972	validation-mlogloss:0.59254
[330]	train-mlogloss:0.63930	validation-mlogloss:0.59204
[331]	train-mlogloss:0.63891	validation-mlogloss:0.59159
[332]	train-mlogloss:0.63846	validation-mlogloss:0.59112
[333]	train-mlogloss:0.63808	validation-mlogloss:0.59071
[334]	train-mlogloss:0.63763	validation-mlogloss:0.59020
[335]	train-mlogloss:0.63720	validation-mlogloss:0.58969
[336]	train-mlogloss:0.63678	validation-mlogloss:0.58920
[337]	train-mlogloss:0.63636	validation-mlogloss:0.58870
[338]	train-mlogloss:0.63598	validation-mlogloss:0.58827
[339]	train-mlogloss:0.63561	validation-mlogloss:0.58784
[340]	train-mlogloss:0.63519	validation-mlogloss:0.58734
[341]	train-mlogloss:0.63475	validation-mlogloss:0.58683
[342]	train-mlogloss:0.63433	validation-mlogloss:0.58633
[343]	train-mlogloss:0.63393	validation-mlogloss:0.58590
[344]	train-mlogloss:0.63357	validation-mlogloss:0.58550
[345]	train-mlogloss:0.63315	validation-mlogloss:0.58508
[346]	train-mlogloss:0.63281	validation-mlogloss:0.58469
[347]	train-mlogloss:0.63243	validation-mlogloss:0.58424
[348]	train-mlogloss:0.63206	validation-mlogloss:0.58384
[349]	train-mlogloss:0.63169	validation-mlogloss:0.58341
[350]	train-mlogloss:0.63133	validation-mlogloss:0.58300
[351]	train-mlogloss:0.63099	validation-mlogloss:0.58261
[352]	train-mlogloss:0.63062	validation-mlogloss:0.58220
[353]	train-mlogloss:0.63021	validation-mlogloss:0.58171
[354]	train-mlogloss:0.62988	validation-mlogloss:0.58135
[355]	train-mlogloss:0.62953	validation-mlogloss:0.58097
[356]	train-mlogloss:0.62916	validation-mlogloss:0.58052
[357]	train-mlogloss:0.62885	validation-mlogloss:0.58015
[358]	train-mlogloss:0.62852	validation-mlogloss:0.57974
[359]	train-mlogloss:0.62815	validation-mlogloss:0.57930
[360]	train-mlogloss:0.62781	validation-mlogloss:0.57891
[361]	train-mlogloss:0.62742	validation-mlogloss:0.57850
[362]	train-mlogloss:0.62709	validation-mlogloss:0.57814
[363]	train-mlogloss:0.62673	validation-mlogloss:0.57768
[364]	train-mlogloss:0.62640	validation-mlogloss:0.57729
[365]	train-mlogloss:0.62606	validation-mlogloss:0.57691
[366]	train-mlogloss:0.62573	validation-mlogloss:0.57655
[367]	train-mlogloss:0.62541	validation-mlogloss:0.57617
[368]	train-mlogloss:0.62507	validation-mlogloss:0.57575
[369]	train-mlogloss:0.62474	validation-mlogloss:0.57543
[370]	train-mlogloss:0.62438	validation-mlogloss:0.57501
[371]	train-mlogloss:0.62409	validation-mlogloss:0.57466
[372]	train-mlogloss:0.62371	validation-mlogloss:0.57424
[373]	train-mlogloss:0.62341	validation-mlogloss:0.57388
[374]	train-mlogloss:0.62305	validation-mlogloss:0.57345
[375]	train-mlogloss:0.62276	validation-mlogloss:0.57311
[376]	train-mlogloss:0.62249	validation-mlogloss:0.57277
[377]	train-mlogloss:0.62216	validation-mlogloss:0.57241
[378]	train-mlogloss:0.62189	validation-mlogloss:0.57211
[379]	train-mlogloss:0.62158	validation-mlogloss:0.57178
[380]	train-mlogloss:0.62128	validation-mlogloss:0.57143
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.39 [%]
Global accuracy score (test) = 77.33 [%]
Global F1 score (train) = 75.63 [%]
Global F1 score (test) = 78.16 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.65      0.62       350
MODERATE-INTENSITY       0.60      0.60      0.60       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.99      0.90      0.94       322

          accuracy                           0.77      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.77      0.78      1372


Accuracy capturado en la ejecución 5: 77.33 [%]
F1-score capturado en la ejecución 5: 78.16 [%]

=== EJECUCIÓN 6 ===

--- TRAIN (ejecución 6) ---

--- TEST (ejecución 6) ---
2025-11-06 16:26:33.265159: 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`.
2025-11-06 16:26:33.276705: 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 00:00:1762442793.289717 1479087 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442793.293659 1479087 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442793.303388 1479087 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442793.303409 1479087 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442793.303411 1479087 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442793.303412 1479087 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:33.306504: 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:1.37819	validation-mlogloss:1.37780
[1]	train-mlogloss:1.37022	validation-mlogloss:1.36952
[2]	train-mlogloss:1.36232	validation-mlogloss:1.36120
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[6]	train-mlogloss:1.33192	validation-mlogloss:1.32951
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[9]	train-mlogloss:1.31020	validation-mlogloss:1.30680
[10]	train-mlogloss:1.30328	validation-mlogloss:1.29961
[11]	train-mlogloss:1.29625	validation-mlogloss:1.29225
[12]	train-mlogloss:1.28942	validation-mlogloss:1.28516
[13]	train-mlogloss:1.28280	validation-mlogloss:1.27822
[14]	train-mlogloss:1.27606	validation-mlogloss:1.27123
[15]	train-mlogloss:1.26955	validation-mlogloss:1.26441
[16]	train-mlogloss:1.26303	validation-mlogloss:1.25764
[17]	train-mlogloss:1.25665	validation-mlogloss:1.25105
[18]	train-mlogloss:1.25030	validation-mlogloss:1.24448
[19]	train-mlogloss:1.24406	validation-mlogloss:1.23784
[20]	train-mlogloss:1.23781	validation-mlogloss:1.23139
[21]	train-mlogloss:1.23167	validation-mlogloss:1.22490
[22]	train-mlogloss:1.22560	validation-mlogloss:1.21854
[23]	train-mlogloss:1.21960	validation-mlogloss:1.21226
[24]	train-mlogloss:1.21373	validation-mlogloss:1.20616
[25]	train-mlogloss:1.20787	validation-mlogloss:1.20000
[26]	train-mlogloss:1.20203	validation-mlogloss:1.19379
[27]	train-mlogloss:1.19635	validation-mlogloss:1.18783
[28]	train-mlogloss:1.19074	validation-mlogloss:1.18185
[29]	train-mlogloss:1.18516	validation-mlogloss:1.17598
[30]	train-mlogloss:1.17962	validation-mlogloss:1.17008
[31]	train-mlogloss:1.17403	validation-mlogloss:1.16430
[32]	train-mlogloss:1.16873	validation-mlogloss:1.15876
[33]	train-mlogloss:1.16338	validation-mlogloss:1.15326
[34]	train-mlogloss:1.15794	validation-mlogloss:1.14767
[35]	train-mlogloss:1.15272	validation-mlogloss:1.14213
[36]	train-mlogloss:1.14766	validation-mlogloss:1.13684
[37]	train-mlogloss:1.14259	validation-mlogloss:1.13145
[38]	train-mlogloss:1.13756	validation-mlogloss:1.12609
[39]	train-mlogloss:1.13262	validation-mlogloss:1.12086
[40]	train-mlogloss:1.12757	validation-mlogloss:1.11570
[41]	train-mlogloss:1.12272	validation-mlogloss:1.11058
[42]	train-mlogloss:1.11801	validation-mlogloss:1.10557
[43]	train-mlogloss:1.11327	validation-mlogloss:1.10048
[44]	train-mlogloss:1.10854	validation-mlogloss:1.09551
[45]	train-mlogloss:1.10375	validation-mlogloss:1.09046
[46]	train-mlogloss:1.09911	validation-mlogloss:1.08573
[47]	train-mlogloss:1.09453	validation-mlogloss:1.08108
[48]	train-mlogloss:1.09001	validation-mlogloss:1.07637
[49]	train-mlogloss:1.08549	validation-mlogloss:1.07180
[50]	train-mlogloss:1.08099	validation-mlogloss:1.06714
[51]	train-mlogloss:1.07682	validation-mlogloss:1.06271
[52]	train-mlogloss:1.07252	validation-mlogloss:1.05826
[53]	train-mlogloss:1.06822	validation-mlogloss:1.05382
[54]	train-mlogloss:1.06394	validation-mlogloss:1.04936
[55]	train-mlogloss:1.05967	validation-mlogloss:1.04495
[56]	train-mlogloss:1.05540	validation-mlogloss:1.04055
[57]	train-mlogloss:1.05136	validation-mlogloss:1.03643
[58]	train-mlogloss:1.04737	validation-mlogloss:1.03214
[59]	train-mlogloss:1.04326	validation-mlogloss:1.02789
[60]	train-mlogloss:1.03925	validation-mlogloss:1.02374
[61]	train-mlogloss:1.03528	validation-mlogloss:1.01956
[62]	train-mlogloss:1.03136	validation-mlogloss:1.01543
[63]	train-mlogloss:1.02747	validation-mlogloss:1.01128
[64]	train-mlogloss:1.02360	validation-mlogloss:1.00721
[65]	train-mlogloss:1.01980	validation-mlogloss:1.00319
[66]	train-mlogloss:1.01612	validation-mlogloss:0.99935
[67]	train-mlogloss:1.01244	validation-mlogloss:0.99551
[68]	train-mlogloss:1.00874	validation-mlogloss:0.99169
[69]	train-mlogloss:1.00522	validation-mlogloss:0.98806
[70]	train-mlogloss:1.00180	validation-mlogloss:0.98451
[71]	train-mlogloss:0.99824	validation-mlogloss:0.98077
[72]	train-mlogloss:0.99471	validation-mlogloss:0.97710
[73]	train-mlogloss:0.99127	validation-mlogloss:0.97348
[74]	train-mlogloss:0.98785	validation-mlogloss:0.96989
[75]	train-mlogloss:0.98442	validation-mlogloss:0.96630
[76]	train-mlogloss:0.98117	validation-mlogloss:0.96288
[77]	train-mlogloss:0.97770	validation-mlogloss:0.95916
[78]	train-mlogloss:0.97441	validation-mlogloss:0.95561
[79]	train-mlogloss:0.97114	validation-mlogloss:0.95221
[80]	train-mlogloss:0.96797	validation-mlogloss:0.94880
[81]	train-mlogloss:0.96469	validation-mlogloss:0.94538
[82]	train-mlogloss:0.96146	validation-mlogloss:0.94199
[83]	train-mlogloss:0.95838	validation-mlogloss:0.93878
[84]	train-mlogloss:0.95518	validation-mlogloss:0.93537
[85]	train-mlogloss:0.95211	validation-mlogloss:0.93220
[86]	train-mlogloss:0.94907	validation-mlogloss:0.92906
[87]	train-mlogloss:0.94610	validation-mlogloss:0.92592
[88]	train-mlogloss:0.94317	validation-mlogloss:0.92285
[89]	train-mlogloss:0.94023	validation-mlogloss:0.91974
[90]	train-mlogloss:0.93714	validation-mlogloss:0.91643
[91]	train-mlogloss:0.93428	validation-mlogloss:0.91343
[92]	train-mlogloss:0.93143	validation-mlogloss:0.91048
[93]	train-mlogloss:0.92852	validation-mlogloss:0.90740
[94]	train-mlogloss:0.92561	validation-mlogloss:0.90422
[95]	train-mlogloss:0.92282	validation-mlogloss:0.90124
[96]	train-mlogloss:0.92014	validation-mlogloss:0.89838
[97]	train-mlogloss:0.91743	validation-mlogloss:0.89561
[98]	train-mlogloss:0.91475	validation-mlogloss:0.89279
[99]	train-mlogloss:0.91221	validation-mlogloss:0.89009
[100]	train-mlogloss:0.90956	validation-mlogloss:0.88737
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
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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)
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Training a non-convolutional model.
Loaded model from disk.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 1 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.95 [%]
Global accuracy score (test) = 77.77 [%]
Global F1 score (train) = 75.07 [%]
Global F1 score (test) = 78.49 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.67      0.63       350
MODERATE-INTENSITY       0.62      0.61      0.61       350
         SEDENTARY       0.99      0.94      0.96       350
VIGOROUS-INTENSITY       0.96      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 6: 77.77 [%]
F1-score capturado en la ejecución 6: 78.49 [%]

=== EJECUCIÓN 7 ===

--- TRAIN (ejecución 7) ---

--- TEST (ejecución 7) ---
2025-11-06 16:26:44.322819: 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`.
2025-11-06 16:26:44.334165: 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 00:00:1762442804.347544 1479364 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442804.351664 1479364 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442804.361926 1479364 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442804.361947 1479364 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442804.361949 1479364 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442804.361950 1479364 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:44.365199: 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:1.37818	validation-mlogloss:1.37797
[1]	train-mlogloss:1.37019	validation-mlogloss:1.36968
[2]	train-mlogloss:1.36225	validation-mlogloss:1.36144
[3]	train-mlogloss:1.35448	validation-mlogloss:1.35339
[4]	train-mlogloss:1.34680	validation-mlogloss:1.34533
[5]	train-mlogloss:1.33917	validation-mlogloss:1.33747
[6]	train-mlogloss:1.33163	validation-mlogloss:1.32960
[7]	train-mlogloss:1.32427	validation-mlogloss:1.32213
[8]	train-mlogloss:1.31701	validation-mlogloss:1.31464
[9]	train-mlogloss:1.30990	validation-mlogloss:1.30717
[10]	train-mlogloss:1.30290	validation-mlogloss:1.30002
[11]	train-mlogloss:1.29602	validation-mlogloss:1.29281
[12]	train-mlogloss:1.28922	validation-mlogloss:1.28581
[13]	train-mlogloss:1.28237	validation-mlogloss:1.27868
[14]	train-mlogloss:1.27576	validation-mlogloss:1.27175
[15]	train-mlogloss:1.26916	validation-mlogloss:1.26485
[16]	train-mlogloss:1.26262	validation-mlogloss:1.25793
[17]	train-mlogloss:1.25621	validation-mlogloss:1.25130
[18]	train-mlogloss:1.24979	validation-mlogloss:1.24470
[19]	train-mlogloss:1.24351	validation-mlogloss:1.23829
[20]	train-mlogloss:1.23732	validation-mlogloss:1.23199
[21]	train-mlogloss:1.23117	validation-mlogloss:1.22553
[22]	train-mlogloss:1.22515	validation-mlogloss:1.21922
[23]	train-mlogloss:1.21914	validation-mlogloss:1.21294
[24]	train-mlogloss:1.21327	validation-mlogloss:1.20681
[25]	train-mlogloss:1.20743	validation-mlogloss:1.20077
[26]	train-mlogloss:1.20178	validation-mlogloss:1.19484
[27]	train-mlogloss:1.19609	validation-mlogloss:1.18895
[28]	train-mlogloss:1.19046	validation-mlogloss:1.18314
[29]	train-mlogloss:1.18496	validation-mlogloss:1.17756
[30]	train-mlogloss:1.17943	validation-mlogloss:1.17172
[31]	train-mlogloss:1.17397	validation-mlogloss:1.16585
[32]	train-mlogloss:1.16860	validation-mlogloss:1.16019
[33]	train-mlogloss:1.16338	validation-mlogloss:1.15483
[34]	train-mlogloss:1.15817	validation-mlogloss:1.14940
[35]	train-mlogloss:1.15299	validation-mlogloss:1.14392
[36]	train-mlogloss:1.14793	validation-mlogloss:1.13852
[37]	train-mlogloss:1.14291	validation-mlogloss:1.13332
[38]	train-mlogloss:1.13800	validation-mlogloss:1.12814
[39]	train-mlogloss:1.13311	validation-mlogloss:1.12301
[40]	train-mlogloss:1.12831	validation-mlogloss:1.11803
[41]	train-mlogloss:1.12358	validation-mlogloss:1.11318
[42]	train-mlogloss:1.11876	validation-mlogloss:1.10833
[43]	train-mlogloss:1.11391	validation-mlogloss:1.10350
[44]	train-mlogloss:1.10932	validation-mlogloss:1.09873
[45]	train-mlogloss:1.10474	validation-mlogloss:1.09385
[46]	train-mlogloss:1.10005	validation-mlogloss:1.08896
[47]	train-mlogloss:1.09552	validation-mlogloss:1.08420
[48]	train-mlogloss:1.09108	validation-mlogloss:1.07957
[49]	train-mlogloss:1.08654	validation-mlogloss:1.07481
[50]	train-mlogloss:1.08223	validation-mlogloss:1.07027
[51]	train-mlogloss:1.07789	validation-mlogloss:1.06573
[52]	train-mlogloss:1.07365	validation-mlogloss:1.06118
[53]	train-mlogloss:1.06922	validation-mlogloss:1.05660
[54]	train-mlogloss:1.06495	validation-mlogloss:1.05221
[55]	train-mlogloss:1.06082	validation-mlogloss:1.04775
[56]	train-mlogloss:1.05662	validation-mlogloss:1.04342
[57]	train-mlogloss:1.05241	validation-mlogloss:1.03908
[58]	train-mlogloss:1.04847	validation-mlogloss:1.03490
[59]	train-mlogloss:1.04440	validation-mlogloss:1.03064
[60]	train-mlogloss:1.04044	validation-mlogloss:1.02644
[61]	train-mlogloss:1.03656	validation-mlogloss:1.02243
[62]	train-mlogloss:1.03264	validation-mlogloss:1.01825
[63]	train-mlogloss:1.02874	validation-mlogloss:1.01419
[64]	train-mlogloss:1.02493	validation-mlogloss:1.01015
[65]	train-mlogloss:1.02112	validation-mlogloss:1.00613
[66]	train-mlogloss:1.01730	validation-mlogloss:1.00205
[67]	train-mlogloss:1.01353	validation-mlogloss:0.99804
[68]	train-mlogloss:1.00984	validation-mlogloss:0.99424
[69]	train-mlogloss:1.00619	validation-mlogloss:0.99047
[70]	train-mlogloss:1.00241	validation-mlogloss:0.98651
[71]	train-mlogloss:0.99880	validation-mlogloss:0.98282
[72]	train-mlogloss:0.99527	validation-mlogloss:0.97917
[73]	train-mlogloss:0.99176	validation-mlogloss:0.97553
[74]	train-mlogloss:0.98843	validation-mlogloss:0.97192
[75]	train-mlogloss:0.98500	validation-mlogloss:0.96835
[76]	train-mlogloss:0.98166	validation-mlogloss:0.96482
[77]	train-mlogloss:0.97827	validation-mlogloss:0.96129
[78]	train-mlogloss:0.97500	validation-mlogloss:0.95782
[79]	train-mlogloss:0.97170	validation-mlogloss:0.95432
[80]	train-mlogloss:0.96835	validation-mlogloss:0.95065
[81]	train-mlogloss:0.96513	validation-mlogloss:0.94725
[82]	train-mlogloss:0.96192	validation-mlogloss:0.94379
[83]	train-mlogloss:0.95881	validation-mlogloss:0.94057
[84]	train-mlogloss:0.95562	validation-mlogloss:0.93715
[85]	train-mlogloss:0.95261	validation-mlogloss:0.93388
[86]	train-mlogloss:0.94935	validation-mlogloss:0.93044
[87]	train-mlogloss:0.94634	validation-mlogloss:0.92729
[88]	train-mlogloss:0.94332	validation-mlogloss:0.92417
[89]	train-mlogloss:0.94038	validation-mlogloss:0.92095
[90]	train-mlogloss:0.93740	validation-mlogloss:0.91777
[91]	train-mlogloss:0.93450	validation-mlogloss:0.91470
[92]	train-mlogloss:0.93150	validation-mlogloss:0.91150
[93]	train-mlogloss:0.92864	validation-mlogloss:0.90847
[94]	train-mlogloss:0.92568	validation-mlogloss:0.90530
[95]	train-mlogloss:0.92287	validation-mlogloss:0.90230
[96]	train-mlogloss:0.92010	validation-mlogloss:0.89942
[97]	train-mlogloss:0.91723	validation-mlogloss:0.89634
[98]	train-mlogloss:0.91449	validation-mlogloss:0.89343
[99]	train-mlogloss:0.91176	validation-mlogloss:0.89051
[100]	train-mlogloss:0.90906	validation-mlogloss:0.88769
[101]	train-mlogloss:0.90645	validation-mlogloss:0.88494
[102]	train-mlogloss:0.90379	validation-mlogloss:0.88208
[103]	train-mlogloss:0.90120	validation-mlogloss:0.87927
[104]	train-mlogloss:0.89862	validation-mlogloss:0.87659
[105]	train-mlogloss:0.89612	validation-mlogloss:0.87403
[106]	train-mlogloss:0.89364	validation-mlogloss:0.87152
[107]	train-mlogloss:0.89113	validation-mlogloss:0.86890
[108]	train-mlogloss:0.88860	validation-mlogloss:0.86620
[109]	train-mlogloss:0.88613	validation-mlogloss:0.86346
[110]	train-mlogloss:0.88374	validation-mlogloss:0.86096
[111]	train-mlogloss:0.88131	validation-mlogloss:0.85839
[112]	train-mlogloss:0.87893	validation-mlogloss:0.85578
[113]	train-mlogloss:0.87657	validation-mlogloss:0.85326
[114]	train-mlogloss:0.87417	validation-mlogloss:0.85067
[115]	train-mlogloss:0.87182	validation-mlogloss:0.84820
[116]	train-mlogloss:0.86947	validation-mlogloss:0.84570
[117]	train-mlogloss:0.86725	validation-mlogloss:0.84329
[118]	train-mlogloss:0.86496	validation-mlogloss:0.84086
[119]	train-mlogloss:0.86268	validation-mlogloss:0.83834
[120]	train-mlogloss:0.86045	validation-mlogloss:0.83592
[121]	train-mlogloss:0.85821	validation-mlogloss:0.83362
[122]	train-mlogloss:0.85606	validation-mlogloss:0.83133
[123]	train-mlogloss:0.85394	validation-mlogloss:0.82907
[124]	train-mlogloss:0.85185	validation-mlogloss:0.82679
[125]	train-mlogloss:0.84958	validation-mlogloss:0.82429
[126]	train-mlogloss:0.84747	validation-mlogloss:0.82195
[127]	train-mlogloss:0.84523	validation-mlogloss:0.81955
[128]	train-mlogloss:0.84304	validation-mlogloss:0.81718
[129]	train-mlogloss:0.84083	validation-mlogloss:0.81480
[130]	train-mlogloss:0.83880	validation-mlogloss:0.81254
[131]	train-mlogloss:0.83687	validation-mlogloss:0.81059
[132]	train-mlogloss:0.83492	validation-mlogloss:0.80858
[133]	train-mlogloss:0.83294	validation-mlogloss:0.80645
[134]	train-mlogloss:0.83098	validation-mlogloss:0.80431
[135]	train-mlogloss:0.82903	validation-mlogloss:0.80223
[136]	train-mlogloss:0.82703	validation-mlogloss:0.80009
[137]	train-mlogloss:0.82516	validation-mlogloss:0.79807
[138]	train-mlogloss:0.82319	validation-mlogloss:0.79595
[139]	train-mlogloss:0.82134	validation-mlogloss:0.79401
[140]	train-mlogloss:0.81942	validation-mlogloss:0.79198
[141]	train-mlogloss:0.81762	validation-mlogloss:0.79007
[142]	train-mlogloss:0.81578	validation-mlogloss:0.78801
[143]	train-mlogloss:0.81396	validation-mlogloss:0.78597
[144]	train-mlogloss:0.81214	validation-mlogloss:0.78410
[145]	train-mlogloss:0.81040	validation-mlogloss:0.78228
[146]	train-mlogloss:0.80853	validation-mlogloss:0.78028
[147]	train-mlogloss:0.80685	validation-mlogloss:0.77849
[148]	train-mlogloss:0.80517	validation-mlogloss:0.77676
[149]	train-mlogloss:0.80343	validation-mlogloss:0.77496
[150]	train-mlogloss:0.80169	validation-mlogloss:0.77303
[151]	train-mlogloss:0.80000	validation-mlogloss:0.77117
[152]	train-mlogloss:0.79818	validation-mlogloss:0.76919
[153]	train-mlogloss:0.79634	validation-mlogloss:0.76714
[154]	train-mlogloss:0.79461	validation-mlogloss:0.76521
[155]	train-mlogloss:0.79278	validation-mlogloss:0.76315
[156]	train-mlogloss:0.79119	validation-mlogloss:0.76142
[157]	train-mlogloss:0.78956	validation-mlogloss:0.75964
[158]	train-mlogloss:0.78785	validation-mlogloss:0.75771
[159]	train-mlogloss:0.78620	validation-mlogloss:0.75584
[160]	train-mlogloss:0.78464	validation-mlogloss:0.75414
[161]	train-mlogloss:0.78314	validation-mlogloss:0.75255
[162]	train-mlogloss:0.78154	validation-mlogloss:0.75090
[163]	train-mlogloss:0.77993	validation-mlogloss:0.74912
[164]	train-mlogloss:0.77832	validation-mlogloss:0.74735
[165]	train-mlogloss:0.77690	validation-mlogloss:0.74578
[166]	train-mlogloss:0.77533	validation-mlogloss:0.74403
[167]	train-mlogloss:0.77387	validation-mlogloss:0.74245
[168]	train-mlogloss:0.77238	validation-mlogloss:0.74078
[169]	train-mlogloss:0.77094	validation-mlogloss:0.73919
[170]	train-mlogloss:0.76950	validation-mlogloss:0.73766
[171]	train-mlogloss:0.76802	validation-mlogloss:0.73605
[172]	train-mlogloss:0.76655	validation-mlogloss:0.73437
[173]	train-mlogloss:0.76516	validation-mlogloss:0.73284
[174]	train-mlogloss:0.76372	validation-mlogloss:0.73120
[175]	train-mlogloss:0.76248	validation-mlogloss:0.72987
[176]	train-mlogloss:0.76113	validation-mlogloss:0.72841
[177]	train-mlogloss:0.75974	validation-mlogloss:0.72692
[178]	train-mlogloss:0.75833	validation-mlogloss:0.72536
[179]	train-mlogloss:0.75689	validation-mlogloss:0.72374
[180]	train-mlogloss:0.75555	validation-mlogloss:0.72231
[181]	train-mlogloss:0.75426	validation-mlogloss:0.72096
[182]	train-mlogloss:0.75288	validation-mlogloss:0.71940
[183]	train-mlogloss:0.75160	validation-mlogloss:0.71798
[184]	train-mlogloss:0.75034	validation-mlogloss:0.71665
[185]	train-mlogloss:0.74899	validation-mlogloss:0.71515
[186]	train-mlogloss:0.74775	validation-mlogloss:0.71377
[187]	train-mlogloss:0.74639	validation-mlogloss:0.71224
[188]	train-mlogloss:0.74509	validation-mlogloss:0.71075
[189]	train-mlogloss:0.74383	validation-mlogloss:0.70937
[190]	train-mlogloss:0.74257	validation-mlogloss:0.70795
[191]	train-mlogloss:0.74131	validation-mlogloss:0.70658
[192]	train-mlogloss:0.74000	validation-mlogloss:0.70515
[193]	train-mlogloss:0.73875	validation-mlogloss:0.70373
[194]	train-mlogloss:0.73751	validation-mlogloss:0.70234
[195]	train-mlogloss:0.73626	validation-mlogloss:0.70100
[196]	train-mlogloss:0.73504	validation-mlogloss:0.69968
[197]	train-mlogloss:0.73381	validation-mlogloss:0.69831
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[199]	train-mlogloss:0.73146	validation-mlogloss:0.69582
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[345]	train-mlogloss:0.63084	validation-mlogloss:0.58231
[346]	train-mlogloss:0.63042	validation-mlogloss:0.58182
[347]	train-mlogloss:0.63003	validation-mlogloss:0.58137
[348]	train-mlogloss:0.62960	validation-mlogloss:0.58085
[349]	train-mlogloss:0.62924	validation-mlogloss:0.58044
[350]	train-mlogloss:0.62887	validation-mlogloss:0.58002
[351]	train-mlogloss:0.62848	validation-mlogloss:0.57959
[352]	train-mlogloss:0.62813	validation-mlogloss:0.57915
[353]	train-mlogloss:0.62777	validation-mlogloss:0.57876
[354]	train-mlogloss:0.62742	validation-mlogloss:0.57832
[355]	train-mlogloss:0.62707	validation-mlogloss:0.57793
[356]	train-mlogloss:0.62673	validation-mlogloss:0.57757
[357]	train-mlogloss:0.62645	validation-mlogloss:0.57722
[358]	train-mlogloss:0.62601	validation-mlogloss:0.57673
[359]	train-mlogloss:0.62566	validation-mlogloss:0.57636
[360]	train-mlogloss:0.62527	validation-mlogloss:0.57597
[361]	train-mlogloss:0.62489	validation-mlogloss:0.57555
[362]	train-mlogloss:0.62449	validation-mlogloss:0.57505
[363]	train-mlogloss:0.62417	validation-mlogloss:0.57470
[364]	train-mlogloss:0.62382	validation-mlogloss:0.57427
[365]	train-mlogloss:0.62346	validation-mlogloss:0.57386
[366]	train-mlogloss:0.62309	validation-mlogloss:0.57344
[367]	train-mlogloss:0.62276	validation-mlogloss:0.57303
[368]	train-mlogloss:0.62245	validation-mlogloss:0.57269
[369]	train-mlogloss:0.62216	validation-mlogloss:0.57235
[370]	train-mlogloss:0.62182	validation-mlogloss:0.57197
[371]	train-mlogloss:0.62149	validation-mlogloss:0.57156
[372]	train-mlogloss:0.62124	validation-mlogloss:0.57127
[373]	train-mlogloss:0.62093	validation-mlogloss:0.57094
[374]	train-mlogloss:0.62050	validation-mlogloss:0.57045
[375]	train-mlogloss:0.62026	validation-mlogloss:0.57020
[376]	train-mlogloss:0.61996	validation-mlogloss:0.56988
[377]	train-mlogloss:0.61967	validation-mlogloss:0.56954
[378]	train-mlogloss:0.61938	validation-mlogloss:0.56921
[379]	train-mlogloss:0.61913	validation-mlogloss:0.56895
[380]	train-mlogloss:0.61887	validation-mlogloss:0.56862
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 1]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.43 [%]
Global accuracy score (test) = 77.62 [%]
Global F1 score (train) = 75.57 [%]
Global F1 score (test) = 78.46 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.61      0.61       350
MODERATE-INTENSITY       0.59      0.66      0.62       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.99      0.89      0.94       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 7: 77.62 [%]
F1-score capturado en la ejecución 7: 78.46 [%]

=== EJECUCIÓN 8 ===

--- TRAIN (ejecución 8) ---

--- TEST (ejecución 8) ---
2025-11-06 16:26:55.546378: 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`.
2025-11-06 16:26:55.557715: 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 00:00:1762442815.571041 1479620 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442815.575207 1479620 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442815.585106 1479620 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442815.585128 1479620 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442815.585131 1479620 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442815.585132 1479620 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:26:55.588303: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.37813	validation-mlogloss:1.37782
[1]	train-mlogloss:1.37020	validation-mlogloss:1.36948
[2]	train-mlogloss:1.36231	validation-mlogloss:1.36122
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[298]	train-mlogloss:0.65367	validation-mlogloss:0.60264
[299]	train-mlogloss:0.65310	validation-mlogloss:0.60195
[300]	train-mlogloss:0.65255	validation-mlogloss:0.60131
[301]	train-mlogloss:0.65202	validation-mlogloss:0.60073
[302]	train-mlogloss:0.65150	validation-mlogloss:0.60007
[303]	train-mlogloss:0.65101	validation-mlogloss:0.59949
[304]	train-mlogloss:0.65050	validation-mlogloss:0.59890
[305]	train-mlogloss:0.64997	validation-mlogloss:0.59833
[306]	train-mlogloss:0.64945	validation-mlogloss:0.59777
[307]	train-mlogloss:0.64889	validation-mlogloss:0.59715
[308]	train-mlogloss:0.64837	validation-mlogloss:0.59653
[309]	train-mlogloss:0.64784	validation-mlogloss:0.59590
[310]	train-mlogloss:0.64721	validation-mlogloss:0.59520
[311]	train-mlogloss:0.64673	validation-mlogloss:0.59466
[312]	train-mlogloss:0.64624	validation-mlogloss:0.59414
[313]	train-mlogloss:0.64573	validation-mlogloss:0.59359
[314]	train-mlogloss:0.64523	validation-mlogloss:0.59303
[315]	train-mlogloss:0.64471	validation-mlogloss:0.59248
[316]	train-mlogloss:0.64419	validation-mlogloss:0.59191
[317]	train-mlogloss:0.64370	validation-mlogloss:0.59137
[318]	train-mlogloss:0.64321	validation-mlogloss:0.59084
[319]	train-mlogloss:0.64271	validation-mlogloss:0.59028
[320]	train-mlogloss:0.64226	validation-mlogloss:0.58971
[321]	train-mlogloss:0.64173	validation-mlogloss:0.58910
[322]	train-mlogloss:0.64129	validation-mlogloss:0.58859
[323]	train-mlogloss:0.64081	validation-mlogloss:0.58801
[324]	train-mlogloss:0.64044	validation-mlogloss:0.58758
[325]	train-mlogloss:0.64003	validation-mlogloss:0.58709
[326]	train-mlogloss:0.63962	validation-mlogloss:0.58661
[327]	train-mlogloss:0.63913	validation-mlogloss:0.58602
[328]	train-mlogloss:0.63865	validation-mlogloss:0.58549
[329]	train-mlogloss:0.63822	validation-mlogloss:0.58500
[330]	train-mlogloss:0.63772	validation-mlogloss:0.58442
[331]	train-mlogloss:0.63728	validation-mlogloss:0.58386
[332]	train-mlogloss:0.63684	validation-mlogloss:0.58333
[333]	train-mlogloss:0.63646	validation-mlogloss:0.58289
[334]	train-mlogloss:0.63599	validation-mlogloss:0.58236
[335]	train-mlogloss:0.63556	validation-mlogloss:0.58192
[336]	train-mlogloss:0.63517	validation-mlogloss:0.58146
[337]	train-mlogloss:0.63477	validation-mlogloss:0.58101
[338]	train-mlogloss:0.63438	validation-mlogloss:0.58056
[339]	train-mlogloss:0.63399	validation-mlogloss:0.58007
[340]	train-mlogloss:0.63358	validation-mlogloss:0.57965
[341]	train-mlogloss:0.63318	validation-mlogloss:0.57918
[342]	train-mlogloss:0.63271	validation-mlogloss:0.57860
[343]	train-mlogloss:0.63232	validation-mlogloss:0.57814
[344]	train-mlogloss:0.63186	validation-mlogloss:0.57765
[345]	train-mlogloss:0.63147	validation-mlogloss:0.57718
[346]	train-mlogloss:0.63105	validation-mlogloss:0.57671
[347]	train-mlogloss:0.63063	validation-mlogloss:0.57619
[348]	train-mlogloss:0.63030	validation-mlogloss:0.57580
[349]	train-mlogloss:0.62987	validation-mlogloss:0.57531
[350]	train-mlogloss:0.62948	validation-mlogloss:0.57486
[351]	train-mlogloss:0.62904	validation-mlogloss:0.57437
[352]	train-mlogloss:0.62862	validation-mlogloss:0.57391
[353]	train-mlogloss:0.62827	validation-mlogloss:0.57349
[354]	train-mlogloss:0.62788	validation-mlogloss:0.57301
[355]	train-mlogloss:0.62753	validation-mlogloss:0.57262
[356]	train-mlogloss:0.62718	validation-mlogloss:0.57223
[357]	train-mlogloss:0.62680	validation-mlogloss:0.57180
[358]	train-mlogloss:0.62640	validation-mlogloss:0.57137
[359]	train-mlogloss:0.62601	validation-mlogloss:0.57091
[360]	train-mlogloss:0.62570	validation-mlogloss:0.57054
[361]	train-mlogloss:0.62536	validation-mlogloss:0.57019
[362]	train-mlogloss:0.62496	validation-mlogloss:0.56974
[363]	train-mlogloss:0.62459	validation-mlogloss:0.56935
[364]	train-mlogloss:0.62420	validation-mlogloss:0.56890
[365]	train-mlogloss:0.62380	validation-mlogloss:0.56845
[366]	train-mlogloss:0.62343	validation-mlogloss:0.56803
[367]	train-mlogloss:0.62306	validation-mlogloss:0.56755
[368]	train-mlogloss:0.62274	validation-mlogloss:0.56718
[369]	train-mlogloss:0.62241	validation-mlogloss:0.56683
[370]	train-mlogloss:0.62212	validation-mlogloss:0.56650
[371]	train-mlogloss:0.62182	validation-mlogloss:0.56616
[372]	train-mlogloss:0.62142	validation-mlogloss:0.56575
[373]	train-mlogloss:0.62109	validation-mlogloss:0.56535
[374]	train-mlogloss:0.62076	validation-mlogloss:0.56499
[375]	train-mlogloss:0.62041	validation-mlogloss:0.56458
[376]	train-mlogloss:0.62005	validation-mlogloss:0.56416
[377]	train-mlogloss:0.61980	validation-mlogloss:0.56389
[378]	train-mlogloss:0.61953	validation-mlogloss:0.56357
[379]	train-mlogloss:0.61924	validation-mlogloss:0.56323
[380]	train-mlogloss:0.61898	validation-mlogloss:0.56291
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 76.08 [%]
Global accuracy score (test) = 76.82 [%]
Global F1 score (train) = 76.29 [%]
Global F1 score (test) = 77.63 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.58      0.64      0.61       350
MODERATE-INTENSITY       0.59      0.61      0.60       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.89      0.93       322

          accuracy                           0.77      1372
         macro avg       0.78      0.77      0.78      1372
      weighted avg       0.78      0.77      0.77      1372


Accuracy capturado en la ejecución 8: 76.82 [%]
F1-score capturado en la ejecución 8: 77.63 [%]

=== EJECUCIÓN 9 ===

--- TRAIN (ejecución 9) ---

--- TEST (ejecución 9) ---
2025-11-06 16:27:06.748274: 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`.
2025-11-06 16:27:06.759493: 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 00:00:1762442826.772538 1479876 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442826.776743 1479876 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442826.786479 1479876 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442826.786504 1479876 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442826.786506 1479876 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442826.786507 1479876 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:27:06.789573: 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:1.37811	validation-mlogloss:1.37778
[1]	train-mlogloss:1.37003	validation-mlogloss:1.36938
[2]	train-mlogloss:1.36210	validation-mlogloss:1.36118
[3]	train-mlogloss:1.35428	validation-mlogloss:1.35303
[4]	train-mlogloss:1.34655	validation-mlogloss:1.34505
[5]	train-mlogloss:1.33892	validation-mlogloss:1.33705
[6]	train-mlogloss:1.33150	validation-mlogloss:1.32917
[7]	train-mlogloss:1.32406	validation-mlogloss:1.32138
[8]	train-mlogloss:1.31675	validation-mlogloss:1.31376
[9]	train-mlogloss:1.30958	validation-mlogloss:1.30619
[10]	train-mlogloss:1.30260	validation-mlogloss:1.29892
[11]	train-mlogloss:1.29564	validation-mlogloss:1.29165
[12]	train-mlogloss:1.28885	validation-mlogloss:1.28448
[13]	train-mlogloss:1.28209	validation-mlogloss:1.27743
[14]	train-mlogloss:1.27535	validation-mlogloss:1.27041
[15]	train-mlogloss:1.26868	validation-mlogloss:1.26351
[16]	train-mlogloss:1.26219	validation-mlogloss:1.25673
[17]	train-mlogloss:1.25567	validation-mlogloss:1.24990
[18]	train-mlogloss:1.24929	validation-mlogloss:1.24336
[19]	train-mlogloss:1.24311	validation-mlogloss:1.23692
[20]	train-mlogloss:1.23694	validation-mlogloss:1.23039
[21]	train-mlogloss:1.23076	validation-mlogloss:1.22391
[22]	train-mlogloss:1.22484	validation-mlogloss:1.21775
[23]	train-mlogloss:1.21899	validation-mlogloss:1.21174
[24]	train-mlogloss:1.21312	validation-mlogloss:1.20557
[25]	train-mlogloss:1.20729	validation-mlogloss:1.19945
[26]	train-mlogloss:1.20162	validation-mlogloss:1.19354
[27]	train-mlogloss:1.19587	validation-mlogloss:1.18749
[28]	train-mlogloss:1.19024	validation-mlogloss:1.18159
[29]	train-mlogloss:1.18478	validation-mlogloss:1.17584
[30]	train-mlogloss:1.17924	validation-mlogloss:1.17006
[31]	train-mlogloss:1.17385	validation-mlogloss:1.16431
[32]	train-mlogloss:1.16850	validation-mlogloss:1.15868
[33]	train-mlogloss:1.16332	validation-mlogloss:1.15334
[34]	train-mlogloss:1.15813	validation-mlogloss:1.14781
[35]	train-mlogloss:1.15299	validation-mlogloss:1.14245
[36]	train-mlogloss:1.14786	validation-mlogloss:1.13715
[37]	train-mlogloss:1.14277	validation-mlogloss:1.13177
[38]	train-mlogloss:1.13779	validation-mlogloss:1.12656
[39]	train-mlogloss:1.13287	validation-mlogloss:1.12138
[40]	train-mlogloss:1.12781	validation-mlogloss:1.11611
[41]	train-mlogloss:1.12297	validation-mlogloss:1.11100
[42]	train-mlogloss:1.11806	validation-mlogloss:1.10594
[43]	train-mlogloss:1.11338	validation-mlogloss:1.10110
[44]	train-mlogloss:1.10881	validation-mlogloss:1.09639
[45]	train-mlogloss:1.10414	validation-mlogloss:1.09159
[46]	train-mlogloss:1.09958	validation-mlogloss:1.08689
[47]	train-mlogloss:1.09493	validation-mlogloss:1.08205
[48]	train-mlogloss:1.09031	validation-mlogloss:1.07730
[49]	train-mlogloss:1.08575	validation-mlogloss:1.07267
[50]	train-mlogloss:1.08138	validation-mlogloss:1.06796
[51]	train-mlogloss:1.07709	validation-mlogloss:1.06338
[52]	train-mlogloss:1.07294	validation-mlogloss:1.05907
[53]	train-mlogloss:1.06874	validation-mlogloss:1.05457
[54]	train-mlogloss:1.06444	validation-mlogloss:1.05018
[55]	train-mlogloss:1.06018	validation-mlogloss:1.04581
[56]	train-mlogloss:1.05600	validation-mlogloss:1.04153
[57]	train-mlogloss:1.05183	validation-mlogloss:1.03726
[58]	train-mlogloss:1.04776	validation-mlogloss:1.03306
[59]	train-mlogloss:1.04370	validation-mlogloss:1.02886
[60]	train-mlogloss:1.03964	validation-mlogloss:1.02475
[61]	train-mlogloss:1.03565	validation-mlogloss:1.02070
[62]	train-mlogloss:1.03171	validation-mlogloss:1.01662
[63]	train-mlogloss:1.02783	validation-mlogloss:1.01254
[64]	train-mlogloss:1.02399	validation-mlogloss:1.00851
[65]	train-mlogloss:1.02012	validation-mlogloss:1.00436
[66]	train-mlogloss:1.01636	validation-mlogloss:1.00059
[67]	train-mlogloss:1.01261	validation-mlogloss:0.99674
[68]	train-mlogloss:1.00895	validation-mlogloss:0.99299
[69]	train-mlogloss:1.00537	validation-mlogloss:0.98922
[70]	train-mlogloss:1.00172	validation-mlogloss:0.98545
[71]	train-mlogloss:0.99817	validation-mlogloss:0.98177
[72]	train-mlogloss:0.99462	validation-mlogloss:0.97809
[73]	train-mlogloss:0.99112	validation-mlogloss:0.97445
[74]	train-mlogloss:0.98768	validation-mlogloss:0.97085
[75]	train-mlogloss:0.98433	validation-mlogloss:0.96746
[76]	train-mlogloss:0.98093	validation-mlogloss:0.96395
[77]	train-mlogloss:0.97752	validation-mlogloss:0.96037
[78]	train-mlogloss:0.97421	validation-mlogloss:0.95692
[79]	train-mlogloss:0.97097	validation-mlogloss:0.95355
[80]	train-mlogloss:0.96781	validation-mlogloss:0.95023
[81]	train-mlogloss:0.96463	validation-mlogloss:0.94702
[82]	train-mlogloss:0.96150	validation-mlogloss:0.94378
[83]	train-mlogloss:0.95824	validation-mlogloss:0.94039
[84]	train-mlogloss:0.95512	validation-mlogloss:0.93718
[85]	train-mlogloss:0.95203	validation-mlogloss:0.93397
[86]	train-mlogloss:0.94905	validation-mlogloss:0.93091
[87]	train-mlogloss:0.94610	validation-mlogloss:0.92785
[88]	train-mlogloss:0.94317	validation-mlogloss:0.92475
[89]	train-mlogloss:0.94022	validation-mlogloss:0.92174
[90]	train-mlogloss:0.93727	validation-mlogloss:0.91857
[91]	train-mlogloss:0.93431	validation-mlogloss:0.91547
[92]	train-mlogloss:0.93142	validation-mlogloss:0.91244
[93]	train-mlogloss:0.92859	validation-mlogloss:0.90944
[94]	train-mlogloss:0.92577	validation-mlogloss:0.90636
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
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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)
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Training a non-convolutional model.
Loaded model from disk.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 0 1 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.8 [%]
Global accuracy score (test) = 77.99 [%]
Global F1 score (train) = 74.91 [%]
Global F1 score (test) = 78.71 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.64      0.62       350
MODERATE-INTENSITY       0.61      0.65      0.63       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.79      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 9: 77.99 [%]
F1-score capturado en la ejecución 9: 78.71 [%]

=== EJECUCIÓN 10 ===

--- TRAIN (ejecución 10) ---

--- TEST (ejecución 10) ---
2025-11-06 16:27:17.856767: 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`.
2025-11-06 16:27:17.867843: 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 00:00:1762442837.880826 1480134 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442837.884768 1480134 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442837.894555 1480134 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442837.894574 1480134 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442837.894576 1480134 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442837.894578 1480134 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:27:17.897622: 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:1.37817	validation-mlogloss:1.37775
[1]	train-mlogloss:1.37024	validation-mlogloss:1.36947
[2]	train-mlogloss:1.36233	validation-mlogloss:1.36117
[3]	train-mlogloss:1.35457	validation-mlogloss:1.35303
[4]	train-mlogloss:1.34700	validation-mlogloss:1.34526
[5]	train-mlogloss:1.33943	validation-mlogloss:1.33734
[6]	train-mlogloss:1.33195	validation-mlogloss:1.32949
[7]	train-mlogloss:1.32458	validation-mlogloss:1.32169
[8]	train-mlogloss:1.31731	validation-mlogloss:1.31412
[9]	train-mlogloss:1.31017	validation-mlogloss:1.30653
[10]	train-mlogloss:1.30309	validation-mlogloss:1.29916
[11]	train-mlogloss:1.29619	validation-mlogloss:1.29197
[12]	train-mlogloss:1.28928	validation-mlogloss:1.28481
[13]	train-mlogloss:1.28249	validation-mlogloss:1.27764
[14]	train-mlogloss:1.27579	validation-mlogloss:1.27051
[15]	train-mlogloss:1.26925	validation-mlogloss:1.26377
[16]	train-mlogloss:1.26272	validation-mlogloss:1.25698
[17]	train-mlogloss:1.25622	validation-mlogloss:1.25022
[18]	train-mlogloss:1.24987	validation-mlogloss:1.24352
[19]	train-mlogloss:1.24356	validation-mlogloss:1.23693
[20]	train-mlogloss:1.23735	validation-mlogloss:1.23039
[21]	train-mlogloss:1.23124	validation-mlogloss:1.22407
[22]	train-mlogloss:1.22519	validation-mlogloss:1.21772
[23]	train-mlogloss:1.21925	validation-mlogloss:1.21149
[24]	train-mlogloss:1.21341	validation-mlogloss:1.20536
[25]	train-mlogloss:1.20757	validation-mlogloss:1.19920
[26]	train-mlogloss:1.20184	validation-mlogloss:1.19312
[27]	train-mlogloss:1.19617	validation-mlogloss:1.18722
[28]	train-mlogloss:1.19059	validation-mlogloss:1.18141
[29]	train-mlogloss:1.18514	validation-mlogloss:1.17576
[30]	train-mlogloss:1.17962	validation-mlogloss:1.16996
[31]	train-mlogloss:1.17419	validation-mlogloss:1.16425
[32]	train-mlogloss:1.16887	validation-mlogloss:1.15866
[33]	train-mlogloss:1.16366	validation-mlogloss:1.15330
[34]	train-mlogloss:1.15845	validation-mlogloss:1.14773
[35]	train-mlogloss:1.15326	validation-mlogloss:1.14221
[36]	train-mlogloss:1.14816	validation-mlogloss:1.13683
[37]	train-mlogloss:1.14320	validation-mlogloss:1.13165
[38]	train-mlogloss:1.13820	validation-mlogloss:1.12627
[39]	train-mlogloss:1.13331	validation-mlogloss:1.12111
[40]	train-mlogloss:1.12824	validation-mlogloss:1.11582
[41]	train-mlogloss:1.12344	validation-mlogloss:1.11076
[42]	train-mlogloss:1.11865	validation-mlogloss:1.10568
[43]	train-mlogloss:1.11392	validation-mlogloss:1.10061
[44]	train-mlogloss:1.10909	validation-mlogloss:1.09562
[45]	train-mlogloss:1.10447	validation-mlogloss:1.09086
[46]	train-mlogloss:1.09998	validation-mlogloss:1.08608
[47]	train-mlogloss:1.09528	validation-mlogloss:1.08122
[48]	train-mlogloss:1.09092	validation-mlogloss:1.07662
[49]	train-mlogloss:1.08656	validation-mlogloss:1.07198
[50]	train-mlogloss:1.08208	validation-mlogloss:1.06739
[51]	train-mlogloss:1.07783	validation-mlogloss:1.06287
[52]	train-mlogloss:1.07343	validation-mlogloss:1.05846
[53]	train-mlogloss:1.06912	validation-mlogloss:1.05402
[54]	train-mlogloss:1.06497	validation-mlogloss:1.04965
[55]	train-mlogloss:1.06069	validation-mlogloss:1.04532
[56]	train-mlogloss:1.05665	validation-mlogloss:1.04105
[57]	train-mlogloss:1.05248	validation-mlogloss:1.03681
[58]	train-mlogloss:1.04850	validation-mlogloss:1.03260
[59]	train-mlogloss:1.04445	validation-mlogloss:1.02844
[60]	train-mlogloss:1.04040	validation-mlogloss:1.02429
[61]	train-mlogloss:1.03645	validation-mlogloss:1.02016
[62]	train-mlogloss:1.03264	validation-mlogloss:1.01617
[63]	train-mlogloss:1.02875	validation-mlogloss:1.01213
[64]	train-mlogloss:1.02499	validation-mlogloss:1.00830
[65]	train-mlogloss:1.02120	validation-mlogloss:1.00442
[66]	train-mlogloss:1.01754	validation-mlogloss:1.00050
[67]	train-mlogloss:1.01383	validation-mlogloss:0.99666
[68]	train-mlogloss:1.01011	validation-mlogloss:0.99280
[69]	train-mlogloss:1.00662	validation-mlogloss:0.98909
[70]	train-mlogloss:1.00313	validation-mlogloss:0.98547
[71]	train-mlogloss:0.99955	validation-mlogloss:0.98182
[72]	train-mlogloss:0.99602	validation-mlogloss:0.97812
[73]	train-mlogloss:0.99262	validation-mlogloss:0.97453
[74]	train-mlogloss:0.98918	validation-mlogloss:0.97099
[75]	train-mlogloss:0.98572	validation-mlogloss:0.96742
[76]	train-mlogloss:0.98240	validation-mlogloss:0.96397
[77]	train-mlogloss:0.97905	validation-mlogloss:0.96046
[78]	train-mlogloss:0.97574	validation-mlogloss:0.95712
[79]	train-mlogloss:0.97260	validation-mlogloss:0.95384
[80]	train-mlogloss:0.96936	validation-mlogloss:0.95046
[81]	train-mlogloss:0.96617	validation-mlogloss:0.94712
[82]	train-mlogloss:0.96306	validation-mlogloss:0.94373
[83]	train-mlogloss:0.95988	validation-mlogloss:0.94042
[84]	train-mlogloss:0.95667	validation-mlogloss:0.93703
[85]	train-mlogloss:0.95364	validation-mlogloss:0.93395
[86]	train-mlogloss:0.95055	validation-mlogloss:0.93078
[87]	train-mlogloss:0.94741	validation-mlogloss:0.92738
[88]	train-mlogloss:0.94431	validation-mlogloss:0.92409
[89]	train-mlogloss:0.94138	validation-mlogloss:0.92110
[90]	train-mlogloss:0.93832	validation-mlogloss:0.91780
[91]	train-mlogloss:0.93540	validation-mlogloss:0.91469
[92]	train-mlogloss:0.93249	validation-mlogloss:0.91169
[93]	train-mlogloss:0.92961	validation-mlogloss:0.90862
[94]	train-mlogloss:0.92674	validation-mlogloss:0.90563
[95]	train-mlogloss:0.92387	validation-mlogloss:0.90257
[96]	train-mlogloss:0.92116	validation-mlogloss:0.89963
[97]	train-mlogloss:0.91840	validation-mlogloss:0.89676
[98]	train-mlogloss:0.91570	validation-mlogloss:0.89387
[99]	train-mlogloss:0.91305	validation-mlogloss:0.89104
[100]	train-mlogloss:0.91039	validation-mlogloss:0.88833
[101]	train-mlogloss:0.90762	validation-mlogloss:0.88543
[102]	train-mlogloss:0.90501	validation-mlogloss:0.88278
[103]	train-mlogloss:0.90238	validation-mlogloss:0.88006
[104]	train-mlogloss:0.89984	validation-mlogloss:0.87743
[105]	train-mlogloss:0.89720	validation-mlogloss:0.87465
[106]	train-mlogloss:0.89470	validation-mlogloss:0.87206
[107]	train-mlogloss:0.89213	validation-mlogloss:0.86932
[108]	train-mlogloss:0.88958	validation-mlogloss:0.86655
[109]	train-mlogloss:0.88701	validation-mlogloss:0.86384
[110]	train-mlogloss:0.88458	validation-mlogloss:0.86128
[111]	train-mlogloss:0.88206	validation-mlogloss:0.85857
[112]	train-mlogloss:0.87970	validation-mlogloss:0.85607
[113]	train-mlogloss:0.87739	validation-mlogloss:0.85369
[114]	train-mlogloss:0.87493	validation-mlogloss:0.85106
[115]	train-mlogloss:0.87265	validation-mlogloss:0.84870
[116]	train-mlogloss:0.87041	validation-mlogloss:0.84627
[117]	train-mlogloss:0.86808	validation-mlogloss:0.84380
[118]	train-mlogloss:0.86573	validation-mlogloss:0.84129
[119]	train-mlogloss:0.86351	validation-mlogloss:0.83896
[120]	train-mlogloss:0.86129	validation-mlogloss:0.83660
[121]	train-mlogloss:0.85912	validation-mlogloss:0.83427
[122]	train-mlogloss:0.85699	validation-mlogloss:0.83201
[123]	train-mlogloss:0.85476	validation-mlogloss:0.82962
[124]	train-mlogloss:0.85250	validation-mlogloss:0.82715
[125]	train-mlogloss:0.85031	validation-mlogloss:0.82480
[126]	train-mlogloss:0.84822	validation-mlogloss:0.82254
[127]	train-mlogloss:0.84605	validation-mlogloss:0.82015
[128]	train-mlogloss:0.84395	validation-mlogloss:0.81792
[129]	train-mlogloss:0.84186	validation-mlogloss:0.81570
[130]	train-mlogloss:0.83973	validation-mlogloss:0.81339
[131]	train-mlogloss:0.83773	validation-mlogloss:0.81125
[132]	train-mlogloss:0.83579	validation-mlogloss:0.80921
[133]	train-mlogloss:0.83377	validation-mlogloss:0.80701
[134]	train-mlogloss:0.83175	validation-mlogloss:0.80483
[135]	train-mlogloss:0.82980	validation-mlogloss:0.80271
[136]	train-mlogloss:0.82796	validation-mlogloss:0.80083
[137]	train-mlogloss:0.82606	validation-mlogloss:0.79882
[138]	train-mlogloss:0.82417	validation-mlogloss:0.79682
[139]	train-mlogloss:0.82226	validation-mlogloss:0.79477
[140]	train-mlogloss:0.82038	validation-mlogloss:0.79271
[141]	train-mlogloss:0.81857	validation-mlogloss:0.79077
[142]	train-mlogloss:0.81670	validation-mlogloss:0.78871
[143]	train-mlogloss:0.81497	validation-mlogloss:0.78692
[144]	train-mlogloss:0.81317	validation-mlogloss:0.78499
[145]	train-mlogloss:0.81133	validation-mlogloss:0.78293
[146]	train-mlogloss:0.80949	validation-mlogloss:0.78093
[147]	train-mlogloss:0.80772	validation-mlogloss:0.77907
[148]	train-mlogloss:0.80593	validation-mlogloss:0.77720
[149]	train-mlogloss:0.80424	validation-mlogloss:0.77533
[150]	train-mlogloss:0.80247	validation-mlogloss:0.77346
[151]	train-mlogloss:0.80081	validation-mlogloss:0.77177
[152]	train-mlogloss:0.79916	validation-mlogloss:0.77007
[153]	train-mlogloss:0.79755	validation-mlogloss:0.76832
[154]	train-mlogloss:0.79590	validation-mlogloss:0.76649
[155]	train-mlogloss:0.79419	validation-mlogloss:0.76457
[156]	train-mlogloss:0.79255	validation-mlogloss:0.76268
[157]	train-mlogloss:0.79095	validation-mlogloss:0.76089
[158]	train-mlogloss:0.78933	validation-mlogloss:0.75909
[159]	train-mlogloss:0.78777	validation-mlogloss:0.75744
[160]	train-mlogloss:0.78612	validation-mlogloss:0.75565
[161]	train-mlogloss:0.78457	validation-mlogloss:0.75398
[162]	train-mlogloss:0.78299	validation-mlogloss:0.75226
[163]	train-mlogloss:0.78140	validation-mlogloss:0.75053
[164]	train-mlogloss:0.77987	validation-mlogloss:0.74898
[165]	train-mlogloss:0.77845	validation-mlogloss:0.74750
[166]	train-mlogloss:0.77702	validation-mlogloss:0.74601
[167]	train-mlogloss:0.77562	validation-mlogloss:0.74452
[168]	train-mlogloss:0.77404	validation-mlogloss:0.74286
[169]	train-mlogloss:0.77256	validation-mlogloss:0.74121
[170]	train-mlogloss:0.77120	validation-mlogloss:0.73974
[171]	train-mlogloss:0.76977	validation-mlogloss:0.73818
[172]	train-mlogloss:0.76832	validation-mlogloss:0.73653
[173]	train-mlogloss:0.76689	validation-mlogloss:0.73490
[174]	train-mlogloss:0.76546	validation-mlogloss:0.73338
[175]	train-mlogloss:0.76403	validation-mlogloss:0.73178
[176]	train-mlogloss:0.76264	validation-mlogloss:0.73030
[177]	train-mlogloss:0.76121	validation-mlogloss:0.72870
[178]	train-mlogloss:0.75983	validation-mlogloss:0.72717
[179]	train-mlogloss:0.75850	validation-mlogloss:0.72572
[180]	train-mlogloss:0.75727	validation-mlogloss:0.72431
[181]	train-mlogloss:0.75602	validation-mlogloss:0.72301
[182]	train-mlogloss:0.75477	validation-mlogloss:0.72162
[183]	train-mlogloss:0.75354	validation-mlogloss:0.72034
[184]	train-mlogloss:0.75217	validation-mlogloss:0.71879
[185]	train-mlogloss:0.75100	validation-mlogloss:0.71745
[186]	train-mlogloss:0.74969	validation-mlogloss:0.71588
[187]	train-mlogloss:0.74853	validation-mlogloss:0.71467
[188]	train-mlogloss:0.74730	validation-mlogloss:0.71323
[189]	train-mlogloss:0.74610	validation-mlogloss:0.71185
[190]	train-mlogloss:0.74489	validation-mlogloss:0.71053
[191]	train-mlogloss:0.74375	validation-mlogloss:0.70933
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[193]	train-mlogloss:0.74120	validation-mlogloss:0.70650
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[329]	train-mlogloss:0.64060	validation-mlogloss:0.59369
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[345]	train-mlogloss:0.63416	validation-mlogloss:0.58653
[346]	train-mlogloss:0.63377	validation-mlogloss:0.58608
[347]	train-mlogloss:0.63336	validation-mlogloss:0.58557
[348]	train-mlogloss:0.63300	validation-mlogloss:0.58517
[349]	train-mlogloss:0.63264	validation-mlogloss:0.58470
[350]	train-mlogloss:0.63232	validation-mlogloss:0.58434
[351]	train-mlogloss:0.63190	validation-mlogloss:0.58388
[352]	train-mlogloss:0.63154	validation-mlogloss:0.58349
[353]	train-mlogloss:0.63116	validation-mlogloss:0.58312
[354]	train-mlogloss:0.63084	validation-mlogloss:0.58270
[355]	train-mlogloss:0.63047	validation-mlogloss:0.58233
[356]	train-mlogloss:0.63017	validation-mlogloss:0.58196
[357]	train-mlogloss:0.62978	validation-mlogloss:0.58153
[358]	train-mlogloss:0.62942	validation-mlogloss:0.58113
[359]	train-mlogloss:0.62908	validation-mlogloss:0.58070
[360]	train-mlogloss:0.62876	validation-mlogloss:0.58035
[361]	train-mlogloss:0.62847	validation-mlogloss:0.57999
[362]	train-mlogloss:0.62819	validation-mlogloss:0.57967
[363]	train-mlogloss:0.62784	validation-mlogloss:0.57926
[364]	train-mlogloss:0.62751	validation-mlogloss:0.57886
[365]	train-mlogloss:0.62711	validation-mlogloss:0.57846
[366]	train-mlogloss:0.62682	validation-mlogloss:0.57814
[367]	train-mlogloss:0.62650	validation-mlogloss:0.57775
[368]	train-mlogloss:0.62615	validation-mlogloss:0.57738
[369]	train-mlogloss:0.62584	validation-mlogloss:0.57701
[370]	train-mlogloss:0.62550	validation-mlogloss:0.57657
[371]	train-mlogloss:0.62519	validation-mlogloss:0.57622
[372]	train-mlogloss:0.62493	validation-mlogloss:0.57594
[373]	train-mlogloss:0.62460	validation-mlogloss:0.57559
[374]	train-mlogloss:0.62422	validation-mlogloss:0.57522
[375]	train-mlogloss:0.62396	validation-mlogloss:0.57495
[376]	train-mlogloss:0.62364	validation-mlogloss:0.57461
[377]	train-mlogloss:0.62333	validation-mlogloss:0.57422
[378]	train-mlogloss:0.62306	validation-mlogloss:0.57392
[379]	train-mlogloss:0.62273	validation-mlogloss:0.57357
[380]	train-mlogloss:0.62248	validation-mlogloss:0.57331
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 1 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.97 [%]
Global accuracy score (test) = 77.84 [%]
Global F1 score (train) = 74.81 [%]
Global F1 score (test) = 78.47 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.65      0.54      0.59       350
MODERATE-INTENSITY       0.58      0.74      0.65       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.98      0.89      0.93       322

          accuracy                           0.78      1372
         macro avg       0.80      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 10: 77.84 [%]
F1-score capturado en la ejecución 10: 78.47 [%]

=== EJECUCIÓN 11 ===

--- TRAIN (ejecución 11) ---

--- TEST (ejecución 11) ---
2025-11-06 16:27:29.086689: 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`.
2025-11-06 16:27:29.098039: 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 00:00:1762442849.111183 1480396 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442849.115227 1480396 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442849.125096 1480396 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442849.125114 1480396 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442849.125117 1480396 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442849.125118 1480396 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:27:29.128167: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.37818	validation-mlogloss:1.37771
[1]	train-mlogloss:1.37018	validation-mlogloss:1.36929
[2]	train-mlogloss:1.36228	validation-mlogloss:1.36102
[3]	train-mlogloss:1.35447	validation-mlogloss:1.35281
[4]	train-mlogloss:1.34696	validation-mlogloss:1.34505
[5]	train-mlogloss:1.33947	validation-mlogloss:1.33731
[6]	train-mlogloss:1.33200	validation-mlogloss:1.32953
[7]	train-mlogloss:1.32466	validation-mlogloss:1.32184
[8]	train-mlogloss:1.31741	validation-mlogloss:1.31424
[9]	train-mlogloss:1.31032	validation-mlogloss:1.30674
[10]	train-mlogloss:1.30327	validation-mlogloss:1.29939
[11]	train-mlogloss:1.29646	validation-mlogloss:1.29244
[12]	train-mlogloss:1.28956	validation-mlogloss:1.28513
[13]	train-mlogloss:1.28280	validation-mlogloss:1.27806
[14]	train-mlogloss:1.27623	validation-mlogloss:1.27132
[15]	train-mlogloss:1.26960	validation-mlogloss:1.26443
[16]	train-mlogloss:1.26306	validation-mlogloss:1.25764
[17]	train-mlogloss:1.25665	validation-mlogloss:1.25091
[18]	train-mlogloss:1.25038	validation-mlogloss:1.24447
[19]	train-mlogloss:1.24416	validation-mlogloss:1.23799
[20]	train-mlogloss:1.23800	validation-mlogloss:1.23168
[21]	train-mlogloss:1.23198	validation-mlogloss:1.22542
[22]	train-mlogloss:1.22611	validation-mlogloss:1.21923
[23]	train-mlogloss:1.22015	validation-mlogloss:1.21300
[24]	train-mlogloss:1.21427	validation-mlogloss:1.20682
[25]	train-mlogloss:1.20842	validation-mlogloss:1.20067
[26]	train-mlogloss:1.20265	validation-mlogloss:1.19464
[27]	train-mlogloss:1.19697	validation-mlogloss:1.18871
[28]	train-mlogloss:1.19134	validation-mlogloss:1.18279
[29]	train-mlogloss:1.18598	validation-mlogloss:1.17715
[30]	train-mlogloss:1.18051	validation-mlogloss:1.17146
[31]	train-mlogloss:1.17516	validation-mlogloss:1.16584
[32]	train-mlogloss:1.16985	validation-mlogloss:1.16022
[33]	train-mlogloss:1.16460	validation-mlogloss:1.15462
[34]	train-mlogloss:1.15940	validation-mlogloss:1.14906
[35]	train-mlogloss:1.15432	validation-mlogloss:1.14372
[36]	train-mlogloss:1.14917	validation-mlogloss:1.13832
[37]	train-mlogloss:1.14411	validation-mlogloss:1.13294
[38]	train-mlogloss:1.13916	validation-mlogloss:1.12779
[39]	train-mlogloss:1.13420	validation-mlogloss:1.12275
[40]	train-mlogloss:1.12930	validation-mlogloss:1.11757
[41]	train-mlogloss:1.12445	validation-mlogloss:1.11241
[42]	train-mlogloss:1.11952	validation-mlogloss:1.10732
[43]	train-mlogloss:1.11463	validation-mlogloss:1.10222
[44]	train-mlogloss:1.10996	validation-mlogloss:1.09731
[45]	train-mlogloss:1.10519	validation-mlogloss:1.09232
[46]	train-mlogloss:1.10071	validation-mlogloss:1.08770
[47]	train-mlogloss:1.09603	validation-mlogloss:1.08275
[48]	train-mlogloss:1.09143	validation-mlogloss:1.07793
[49]	train-mlogloss:1.08687	validation-mlogloss:1.07329
[50]	train-mlogloss:1.08239	validation-mlogloss:1.06880
[51]	train-mlogloss:1.07796	validation-mlogloss:1.06420
[52]	train-mlogloss:1.07368	validation-mlogloss:1.05964
[53]	train-mlogloss:1.06939	validation-mlogloss:1.05514
[54]	train-mlogloss:1.06519	validation-mlogloss:1.05075
[55]	train-mlogloss:1.06091	validation-mlogloss:1.04638
[56]	train-mlogloss:1.05667	validation-mlogloss:1.04195
[57]	train-mlogloss:1.05265	validation-mlogloss:1.03767
[58]	train-mlogloss:1.04854	validation-mlogloss:1.03340
[59]	train-mlogloss:1.04463	validation-mlogloss:1.02923
[60]	train-mlogloss:1.04063	validation-mlogloss:1.02512
[61]	train-mlogloss:1.03665	validation-mlogloss:1.02093
[62]	train-mlogloss:1.03275	validation-mlogloss:1.01686
[63]	train-mlogloss:1.02887	validation-mlogloss:1.01281
[64]	train-mlogloss:1.02499	validation-mlogloss:1.00876
[65]	train-mlogloss:1.02120	validation-mlogloss:1.00475
[66]	train-mlogloss:1.01740	validation-mlogloss:1.00074
[67]	train-mlogloss:1.01364	validation-mlogloss:0.99682
[68]	train-mlogloss:1.01003	validation-mlogloss:0.99318
[69]	train-mlogloss:1.00638	validation-mlogloss:0.98929
[70]	train-mlogloss:1.00282	validation-mlogloss:0.98556
[71]	train-mlogloss:0.99925	validation-mlogloss:0.98182
[72]	train-mlogloss:0.99570	validation-mlogloss:0.97806
[73]	train-mlogloss:0.99225	validation-mlogloss:0.97453
[74]	train-mlogloss:0.98881	validation-mlogloss:0.97102
[75]	train-mlogloss:0.98542	validation-mlogloss:0.96751
[76]	train-mlogloss:0.98202	validation-mlogloss:0.96391
[77]	train-mlogloss:0.97869	validation-mlogloss:0.96041
[78]	train-mlogloss:0.97534	validation-mlogloss:0.95687
[79]	train-mlogloss:0.97196	validation-mlogloss:0.95321
[80]	train-mlogloss:0.96874	validation-mlogloss:0.94979
[81]	train-mlogloss:0.96557	validation-mlogloss:0.94637
[82]	train-mlogloss:0.96239	validation-mlogloss:0.94308
[83]	train-mlogloss:0.95933	validation-mlogloss:0.93984
[84]	train-mlogloss:0.95603	validation-mlogloss:0.93626
[85]	train-mlogloss:0.95301	validation-mlogloss:0.93309
[86]	train-mlogloss:0.94998	validation-mlogloss:0.92995
[87]	train-mlogloss:0.94693	validation-mlogloss:0.92681
[88]	train-mlogloss:0.94392	validation-mlogloss:0.92367
[89]	train-mlogloss:0.94101	validation-mlogloss:0.92065
[90]	train-mlogloss:0.93807	validation-mlogloss:0.91756
[91]	train-mlogloss:0.93515	validation-mlogloss:0.91447
[92]	train-mlogloss:0.93220	validation-mlogloss:0.91129
[93]	train-mlogloss:0.92940	validation-mlogloss:0.90840
[94]	train-mlogloss:0.92661	validation-mlogloss:0.90543
[95]	train-mlogloss:0.92380	validation-mlogloss:0.90245
[96]	train-mlogloss:0.92107	validation-mlogloss:0.89963
[97]	train-mlogloss:0.91835	validation-mlogloss:0.89672
[98]	train-mlogloss:0.91551	validation-mlogloss:0.89366
[99]	train-mlogloss:0.91282	validation-mlogloss:0.89078
[100]	train-mlogloss:0.91002	validation-mlogloss:0.88775
[101]	train-mlogloss:0.90739	validation-mlogloss:0.88507
[102]	train-mlogloss:0.90480	validation-mlogloss:0.88232
[103]	train-mlogloss:0.90212	validation-mlogloss:0.87944
[104]	train-mlogloss:0.89957	validation-mlogloss:0.87663
[105]	train-mlogloss:0.89704	validation-mlogloss:0.87397
[106]	train-mlogloss:0.89457	validation-mlogloss:0.87138
[107]	train-mlogloss:0.89212	validation-mlogloss:0.86879
[108]	train-mlogloss:0.88949	validation-mlogloss:0.86598
[109]	train-mlogloss:0.88695	validation-mlogloss:0.86326
[110]	train-mlogloss:0.88445	validation-mlogloss:0.86057
[111]	train-mlogloss:0.88190	validation-mlogloss:0.85780
[112]	train-mlogloss:0.87939	validation-mlogloss:0.85510
[113]	train-mlogloss:0.87691	validation-mlogloss:0.85240
[114]	train-mlogloss:0.87458	validation-mlogloss:0.84989
[115]	train-mlogloss:0.87228	validation-mlogloss:0.84759
[116]	train-mlogloss:0.87000	validation-mlogloss:0.84513
[117]	train-mlogloss:0.86776	validation-mlogloss:0.84280
[118]	train-mlogloss:0.86550	validation-mlogloss:0.84039
[119]	train-mlogloss:0.86319	validation-mlogloss:0.83782
[120]	train-mlogloss:0.86105	validation-mlogloss:0.83557
[121]	train-mlogloss:0.85886	validation-mlogloss:0.83326
[122]	train-mlogloss:0.85655	validation-mlogloss:0.83071
[123]	train-mlogloss:0.85447	validation-mlogloss:0.82848
[124]	train-mlogloss:0.85240	validation-mlogloss:0.82633
[125]	train-mlogloss:0.85026	validation-mlogloss:0.82407
[126]	train-mlogloss:0.84808	validation-mlogloss:0.82175
[127]	train-mlogloss:0.84590	validation-mlogloss:0.81939
[128]	train-mlogloss:0.84380	validation-mlogloss:0.81712
[129]	train-mlogloss:0.84172	validation-mlogloss:0.81482
[130]	train-mlogloss:0.83964	validation-mlogloss:0.81254
[131]	train-mlogloss:0.83758	validation-mlogloss:0.81026
[132]	train-mlogloss:0.83566	validation-mlogloss:0.80810
[133]	train-mlogloss:0.83382	validation-mlogloss:0.80611
[134]	train-mlogloss:0.83183	validation-mlogloss:0.80398
[135]	train-mlogloss:0.82993	validation-mlogloss:0.80200
[136]	train-mlogloss:0.82802	validation-mlogloss:0.79994
[137]	train-mlogloss:0.82612	validation-mlogloss:0.79792
[138]	train-mlogloss:0.82416	validation-mlogloss:0.79576
[139]	train-mlogloss:0.82237	validation-mlogloss:0.79385
[140]	train-mlogloss:0.82048	validation-mlogloss:0.79172
[141]	train-mlogloss:0.81869	validation-mlogloss:0.78984
[142]	train-mlogloss:0.81686	validation-mlogloss:0.78783
[143]	train-mlogloss:0.81500	validation-mlogloss:0.78582
[144]	train-mlogloss:0.81311	validation-mlogloss:0.78371
[145]	train-mlogloss:0.81129	validation-mlogloss:0.78167
[146]	train-mlogloss:0.80957	validation-mlogloss:0.77979
[147]	train-mlogloss:0.80774	validation-mlogloss:0.77767
[148]	train-mlogloss:0.80598	validation-mlogloss:0.77575
[149]	train-mlogloss:0.80428	validation-mlogloss:0.77402
[150]	train-mlogloss:0.80247	validation-mlogloss:0.77203
[151]	train-mlogloss:0.80069	validation-mlogloss:0.77007
[152]	train-mlogloss:0.79900	validation-mlogloss:0.76827
[153]	train-mlogloss:0.79728	validation-mlogloss:0.76645
[154]	train-mlogloss:0.79570	validation-mlogloss:0.76477
[155]	train-mlogloss:0.79407	validation-mlogloss:0.76302
[156]	train-mlogloss:0.79242	validation-mlogloss:0.76122
[157]	train-mlogloss:0.79088	validation-mlogloss:0.75964
[158]	train-mlogloss:0.78927	validation-mlogloss:0.75785
[159]	train-mlogloss:0.78768	validation-mlogloss:0.75608
[160]	train-mlogloss:0.78606	validation-mlogloss:0.75432
[161]	train-mlogloss:0.78456	validation-mlogloss:0.75275
[162]	train-mlogloss:0.78305	validation-mlogloss:0.75110
[163]	train-mlogloss:0.78157	validation-mlogloss:0.74942
[164]	train-mlogloss:0.77999	validation-mlogloss:0.74767
[165]	train-mlogloss:0.77856	validation-mlogloss:0.74609
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[170]	train-mlogloss:0.77130	validation-mlogloss:0.73816
[171]	train-mlogloss:0.76978	validation-mlogloss:0.73648
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[176]	train-mlogloss:0.76298	validation-mlogloss:0.72883
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[179]	train-mlogloss:0.75891	validation-mlogloss:0.72441
[180]	train-mlogloss:0.75751	validation-mlogloss:0.72280
[181]	train-mlogloss:0.75621	validation-mlogloss:0.72131
[182]	train-mlogloss:0.75488	validation-mlogloss:0.71979
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[185]	train-mlogloss:0.75108	validation-mlogloss:0.71545
[186]	train-mlogloss:0.74986	validation-mlogloss:0.71416
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[188]	train-mlogloss:0.74732	validation-mlogloss:0.71133
[189]	train-mlogloss:0.74620	validation-mlogloss:0.71005
[190]	train-mlogloss:0.74495	validation-mlogloss:0.70866
[191]	train-mlogloss:0.74364	validation-mlogloss:0.70725
[192]	train-mlogloss:0.74242	validation-mlogloss:0.70592
[193]	train-mlogloss:0.74126	validation-mlogloss:0.70467
[194]	train-mlogloss:0.74013	validation-mlogloss:0.70339
[195]	train-mlogloss:0.73894	validation-mlogloss:0.70211
[196]	train-mlogloss:0.73771	validation-mlogloss:0.70073
[197]	train-mlogloss:0.73662	validation-mlogloss:0.69954
[198]	train-mlogloss:0.73548	validation-mlogloss:0.69818
[199]	train-mlogloss:0.73432	validation-mlogloss:0.69691
[200]	train-mlogloss:0.73310	validation-mlogloss:0.69552
[201]	train-mlogloss:0.73203	validation-mlogloss:0.69439
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[291]	train-mlogloss:0.65941	validation-mlogloss:0.61288
[292]	train-mlogloss:0.65881	validation-mlogloss:0.61219
[293]	train-mlogloss:0.65820	validation-mlogloss:0.61151
[294]	train-mlogloss:0.65762	validation-mlogloss:0.61082
[295]	train-mlogloss:0.65705	validation-mlogloss:0.61012
[296]	train-mlogloss:0.65651	validation-mlogloss:0.60945
[297]	train-mlogloss:0.65597	validation-mlogloss:0.60888
[298]	train-mlogloss:0.65545	validation-mlogloss:0.60830
[299]	train-mlogloss:0.65485	validation-mlogloss:0.60765
[300]	train-mlogloss:0.65430	validation-mlogloss:0.60704
[301]	train-mlogloss:0.65384	validation-mlogloss:0.60649
[302]	train-mlogloss:0.65327	validation-mlogloss:0.60590
[303]	train-mlogloss:0.65278	validation-mlogloss:0.60528
[304]	train-mlogloss:0.65225	validation-mlogloss:0.60464
[305]	train-mlogloss:0.65171	validation-mlogloss:0.60405
[306]	train-mlogloss:0.65124	validation-mlogloss:0.60351
[307]	train-mlogloss:0.65077	validation-mlogloss:0.60297
[308]	train-mlogloss:0.65024	validation-mlogloss:0.60239
[309]	train-mlogloss:0.64970	validation-mlogloss:0.60181
[310]	train-mlogloss:0.64920	validation-mlogloss:0.60121
[311]	train-mlogloss:0.64870	validation-mlogloss:0.60061
[312]	train-mlogloss:0.64819	validation-mlogloss:0.60003
[313]	train-mlogloss:0.64773	validation-mlogloss:0.59945
[314]	train-mlogloss:0.64726	validation-mlogloss:0.59890
[315]	train-mlogloss:0.64674	validation-mlogloss:0.59831
[316]	train-mlogloss:0.64631	validation-mlogloss:0.59780
[317]	train-mlogloss:0.64589	validation-mlogloss:0.59728
[318]	train-mlogloss:0.64539	validation-mlogloss:0.59674
[319]	train-mlogloss:0.64491	validation-mlogloss:0.59622
[320]	train-mlogloss:0.64446	validation-mlogloss:0.59567
[321]	train-mlogloss:0.64409	validation-mlogloss:0.59523
[322]	train-mlogloss:0.64360	validation-mlogloss:0.59470
[323]	train-mlogloss:0.64316	validation-mlogloss:0.59417
[324]	train-mlogloss:0.64277	validation-mlogloss:0.59374
[325]	train-mlogloss:0.64231	validation-mlogloss:0.59324
[326]	train-mlogloss:0.64187	validation-mlogloss:0.59278
[327]	train-mlogloss:0.64146	validation-mlogloss:0.59234
[328]	train-mlogloss:0.64104	validation-mlogloss:0.59184
[329]	train-mlogloss:0.64056	validation-mlogloss:0.59132
[330]	train-mlogloss:0.64012	validation-mlogloss:0.59076
[331]	train-mlogloss:0.63972	validation-mlogloss:0.59029
[332]	train-mlogloss:0.63935	validation-mlogloss:0.58984
[333]	train-mlogloss:0.63888	validation-mlogloss:0.58929
[334]	train-mlogloss:0.63846	validation-mlogloss:0.58881
[335]	train-mlogloss:0.63804	validation-mlogloss:0.58838
[336]	train-mlogloss:0.63757	validation-mlogloss:0.58787
[337]	train-mlogloss:0.63713	validation-mlogloss:0.58741
[338]	train-mlogloss:0.63669	validation-mlogloss:0.58694
[339]	train-mlogloss:0.63630	validation-mlogloss:0.58645
[340]	train-mlogloss:0.63590	validation-mlogloss:0.58604
[341]	train-mlogloss:0.63552	validation-mlogloss:0.58564
[342]	train-mlogloss:0.63509	validation-mlogloss:0.58521
[343]	train-mlogloss:0.63472	validation-mlogloss:0.58475
[344]	train-mlogloss:0.63432	validation-mlogloss:0.58427
[345]	train-mlogloss:0.63390	validation-mlogloss:0.58381
[346]	train-mlogloss:0.63350	validation-mlogloss:0.58334
[347]	train-mlogloss:0.63307	validation-mlogloss:0.58286
[348]	train-mlogloss:0.63268	validation-mlogloss:0.58244
[349]	train-mlogloss:0.63225	validation-mlogloss:0.58194
[350]	train-mlogloss:0.63188	validation-mlogloss:0.58152
[351]	train-mlogloss:0.63150	validation-mlogloss:0.58107
[352]	train-mlogloss:0.63118	validation-mlogloss:0.58070
[353]	train-mlogloss:0.63083	validation-mlogloss:0.58028
[354]	train-mlogloss:0.63044	validation-mlogloss:0.57985
[355]	train-mlogloss:0.63009	validation-mlogloss:0.57942
[356]	train-mlogloss:0.62977	validation-mlogloss:0.57907
[357]	train-mlogloss:0.62942	validation-mlogloss:0.57870
[358]	train-mlogloss:0.62902	validation-mlogloss:0.57825
[359]	train-mlogloss:0.62867	validation-mlogloss:0.57785
[360]	train-mlogloss:0.62832	validation-mlogloss:0.57746
[361]	train-mlogloss:0.62793	validation-mlogloss:0.57703
[362]	train-mlogloss:0.62754	validation-mlogloss:0.57662
[363]	train-mlogloss:0.62707	validation-mlogloss:0.57608
[364]	train-mlogloss:0.62670	validation-mlogloss:0.57567
[365]	train-mlogloss:0.62641	validation-mlogloss:0.57537
[366]	train-mlogloss:0.62608	validation-mlogloss:0.57499
[367]	train-mlogloss:0.62572	validation-mlogloss:0.57461
[368]	train-mlogloss:0.62541	validation-mlogloss:0.57427
[369]	train-mlogloss:0.62506	validation-mlogloss:0.57389
[370]	train-mlogloss:0.62479	validation-mlogloss:0.57358
[371]	train-mlogloss:0.62451	validation-mlogloss:0.57326
[372]	train-mlogloss:0.62423	validation-mlogloss:0.57290
[373]	train-mlogloss:0.62389	validation-mlogloss:0.57254
[374]	train-mlogloss:0.62361	validation-mlogloss:0.57222
[375]	train-mlogloss:0.62324	validation-mlogloss:0.57181
[376]	train-mlogloss:0.62284	validation-mlogloss:0.57140
[377]	train-mlogloss:0.62251	validation-mlogloss:0.57099
[378]	train-mlogloss:0.62219	validation-mlogloss:0.57067
[379]	train-mlogloss:0.62187	validation-mlogloss:0.57035
[380]	train-mlogloss:0.62158	validation-mlogloss:0.56996
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 0 ... 0 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.16 [%]
Global accuracy score (test) = 76.09 [%]
Global F1 score (train) = 74.14 [%]
Global F1 score (test) = 76.82 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.51      0.55       350
MODERATE-INTENSITY       0.55      0.71      0.62       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.98      0.89      0.93       322

          accuracy                           0.76      1372
         macro avg       0.78      0.76      0.77      1372
      weighted avg       0.78      0.76      0.76      1372


Accuracy capturado en la ejecución 11: 76.09 [%]
F1-score capturado en la ejecución 11: 76.82 [%]

=== EJECUCIÓN 12 ===

--- TRAIN (ejecución 12) ---

--- TEST (ejecución 12) ---
2025-11-06 16:27:40.217139: 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`.
2025-11-06 16:27:40.228336: 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 00:00:1762442860.241401 1480675 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442860.245493 1480675 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442860.255157 1480675 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442860.255175 1480675 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442860.255177 1480675 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442860.255179 1480675 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:27:40.258271: 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:1.37812	validation-mlogloss:1.37777
[1]	train-mlogloss:1.37012	validation-mlogloss:1.36941
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[11]	train-mlogloss:1.29572	validation-mlogloss:1.29124
[12]	train-mlogloss:1.28877	validation-mlogloss:1.28381
[13]	train-mlogloss:1.28194	validation-mlogloss:1.27662
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[16]	train-mlogloss:1.26222	validation-mlogloss:1.25577
[17]	train-mlogloss:1.25570	validation-mlogloss:1.24890
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[19]	train-mlogloss:1.24313	validation-mlogloss:1.23577
[20]	train-mlogloss:1.23688	validation-mlogloss:1.22918
[21]	train-mlogloss:1.23075	validation-mlogloss:1.22272
[22]	train-mlogloss:1.22465	validation-mlogloss:1.21623
[23]	train-mlogloss:1.21866	validation-mlogloss:1.21001
[24]	train-mlogloss:1.21276	validation-mlogloss:1.20377
[25]	train-mlogloss:1.20692	validation-mlogloss:1.19757
[26]	train-mlogloss:1.20112	validation-mlogloss:1.19145
[27]	train-mlogloss:1.19544	validation-mlogloss:1.18549
[28]	train-mlogloss:1.18980	validation-mlogloss:1.17954
[29]	train-mlogloss:1.18420	validation-mlogloss:1.17356
[30]	train-mlogloss:1.17867	validation-mlogloss:1.16765
[31]	train-mlogloss:1.17329	validation-mlogloss:1.16199
[32]	train-mlogloss:1.16787	validation-mlogloss:1.15632
[33]	train-mlogloss:1.16260	validation-mlogloss:1.15075
[34]	train-mlogloss:1.15736	validation-mlogloss:1.14521
[35]	train-mlogloss:1.15209	validation-mlogloss:1.13982
[36]	train-mlogloss:1.14682	validation-mlogloss:1.13441
[37]	train-mlogloss:1.14177	validation-mlogloss:1.12907
[38]	train-mlogloss:1.13676	validation-mlogloss:1.12384
[39]	train-mlogloss:1.13165	validation-mlogloss:1.11858
[40]	train-mlogloss:1.12658	validation-mlogloss:1.11335
[41]	train-mlogloss:1.12181	validation-mlogloss:1.10828
[42]	train-mlogloss:1.11704	validation-mlogloss:1.10317
[43]	train-mlogloss:1.11219	validation-mlogloss:1.09813
[44]	train-mlogloss:1.10753	validation-mlogloss:1.09319
[45]	train-mlogloss:1.10271	validation-mlogloss:1.08816
[46]	train-mlogloss:1.09793	validation-mlogloss:1.08322
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[48]	train-mlogloss:1.08881	validation-mlogloss:1.07350
[49]	train-mlogloss:1.08420	validation-mlogloss:1.06873
[50]	train-mlogloss:1.07966	validation-mlogloss:1.06399
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[52]	train-mlogloss:1.07088	validation-mlogloss:1.05498
[53]	train-mlogloss:1.06655	validation-mlogloss:1.05054
[54]	train-mlogloss:1.06224	validation-mlogloss:1.04600
[55]	train-mlogloss:1.05796	validation-mlogloss:1.04156
[56]	train-mlogloss:1.05373	validation-mlogloss:1.03714
[57]	train-mlogloss:1.04959	validation-mlogloss:1.03287
[58]	train-mlogloss:1.04539	validation-mlogloss:1.02852
[59]	train-mlogloss:1.04132	validation-mlogloss:1.02422
[60]	train-mlogloss:1.03728	validation-mlogloss:1.01994
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[63]	train-mlogloss:1.02546	validation-mlogloss:1.00776
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[66]	train-mlogloss:1.01402	validation-mlogloss:0.99588
[67]	train-mlogloss:1.01041	validation-mlogloss:0.99196
[68]	train-mlogloss:1.00670	validation-mlogloss:0.98820
[69]	train-mlogloss:1.00300	validation-mlogloss:0.98430
[70]	train-mlogloss:0.99943	validation-mlogloss:0.98055
[71]	train-mlogloss:0.99590	validation-mlogloss:0.97681
[72]	train-mlogloss:0.99235	validation-mlogloss:0.97307
[73]	train-mlogloss:0.98889	validation-mlogloss:0.96942
[74]	train-mlogloss:0.98541	validation-mlogloss:0.96569
[75]	train-mlogloss:0.98190	validation-mlogloss:0.96196
[76]	train-mlogloss:0.97854	validation-mlogloss:0.95837
[77]	train-mlogloss:0.97524	validation-mlogloss:0.95496
[78]	train-mlogloss:0.97194	validation-mlogloss:0.95152
[79]	train-mlogloss:0.96867	validation-mlogloss:0.94800
[80]	train-mlogloss:0.96545	validation-mlogloss:0.94472
[81]	train-mlogloss:0.96223	validation-mlogloss:0.94134
[82]	train-mlogloss:0.95909	validation-mlogloss:0.93801
[83]	train-mlogloss:0.95595	validation-mlogloss:0.93473
[84]	train-mlogloss:0.95285	validation-mlogloss:0.93149
[85]	train-mlogloss:0.94983	validation-mlogloss:0.92831
[86]	train-mlogloss:0.94679	validation-mlogloss:0.92512
[87]	train-mlogloss:0.94377	validation-mlogloss:0.92194
[88]	train-mlogloss:0.94077	validation-mlogloss:0.91879
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
This activity can't be balanced (in a downsampling way)
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Training a non-convolutional model.
Loaded model from disk.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 1 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.65 [%]
Global accuracy score (test) = 76.68 [%]
Global F1 score (train) = 75.82 [%]
Global F1 score (test) = 77.52 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.61      0.60       350
MODERATE-INTENSITY       0.58      0.63      0.61       350
         SEDENTARY       0.99      0.94      0.96       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.78      0.77      0.78      1372
      weighted avg       0.78      0.77      0.77      1372


Accuracy capturado en la ejecución 12: 76.68 [%]
F1-score capturado en la ejecución 12: 77.52 [%]

=== EJECUCIÓN 13 ===

--- TRAIN (ejecución 13) ---

--- TEST (ejecución 13) ---
2025-11-06 16:27:51.294820: 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`.
2025-11-06 16:27:51.306029: 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 00:00:1762442871.318949 1480930 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442871.322948 1480930 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442871.332766 1480930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442871.332785 1480930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442871.332787 1480930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442871.332789 1480930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:27:51.335799: 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:1.37820	validation-mlogloss:1.37782
[1]	train-mlogloss:1.37030	validation-mlogloss:1.36966
[2]	train-mlogloss:1.36251	validation-mlogloss:1.36162
[3]	train-mlogloss:1.35476	validation-mlogloss:1.35353
[4]	train-mlogloss:1.34712	validation-mlogloss:1.34555
[5]	train-mlogloss:1.33955	validation-mlogloss:1.33758
[6]	train-mlogloss:1.33210	validation-mlogloss:1.32982
[7]	train-mlogloss:1.32482	validation-mlogloss:1.32225
[8]	train-mlogloss:1.31769	validation-mlogloss:1.31490
[9]	train-mlogloss:1.31048	validation-mlogloss:1.30749
[10]	train-mlogloss:1.30340	validation-mlogloss:1.30018
[11]	train-mlogloss:1.29643	validation-mlogloss:1.29284
[12]	train-mlogloss:1.28958	validation-mlogloss:1.28569
[13]	train-mlogloss:1.28281	validation-mlogloss:1.27855
[14]	train-mlogloss:1.27618	validation-mlogloss:1.27149
[15]	train-mlogloss:1.26959	validation-mlogloss:1.26454
[16]	train-mlogloss:1.26301	validation-mlogloss:1.25770
[17]	train-mlogloss:1.25654	validation-mlogloss:1.25095
[18]	train-mlogloss:1.25022	validation-mlogloss:1.24444
[19]	train-mlogloss:1.24396	validation-mlogloss:1.23778
[20]	train-mlogloss:1.23779	validation-mlogloss:1.23124
[21]	train-mlogloss:1.23164	validation-mlogloss:1.22482
[22]	train-mlogloss:1.22565	validation-mlogloss:1.21864
[23]	train-mlogloss:1.21972	validation-mlogloss:1.21243
[24]	train-mlogloss:1.21377	validation-mlogloss:1.20619
[25]	train-mlogloss:1.20799	validation-mlogloss:1.20004
[26]	train-mlogloss:1.20218	validation-mlogloss:1.19404
[27]	train-mlogloss:1.19642	validation-mlogloss:1.18800
[28]	train-mlogloss:1.19086	validation-mlogloss:1.18213
[29]	train-mlogloss:1.18530	validation-mlogloss:1.17630
[30]	train-mlogloss:1.17994	validation-mlogloss:1.17073
[31]	train-mlogloss:1.17464	validation-mlogloss:1.16527
[32]	train-mlogloss:1.16957	validation-mlogloss:1.16002
[33]	train-mlogloss:1.16427	validation-mlogloss:1.15442
[34]	train-mlogloss:1.15916	validation-mlogloss:1.14908
[35]	train-mlogloss:1.15410	validation-mlogloss:1.14375
[36]	train-mlogloss:1.14895	validation-mlogloss:1.13834
[37]	train-mlogloss:1.14397	validation-mlogloss:1.13311
[38]	train-mlogloss:1.13905	validation-mlogloss:1.12796
[39]	train-mlogloss:1.13413	validation-mlogloss:1.12275
[40]	train-mlogloss:1.12929	validation-mlogloss:1.11766
[41]	train-mlogloss:1.12453	validation-mlogloss:1.11258
[42]	train-mlogloss:1.11979	validation-mlogloss:1.10760
[43]	train-mlogloss:1.11505	validation-mlogloss:1.10260
[44]	train-mlogloss:1.11037	validation-mlogloss:1.09765
[45]	train-mlogloss:1.10576	validation-mlogloss:1.09288
[46]	train-mlogloss:1.10118	validation-mlogloss:1.08802
[47]	train-mlogloss:1.09668	validation-mlogloss:1.08318
[48]	train-mlogloss:1.09219	validation-mlogloss:1.07858
[49]	train-mlogloss:1.08763	validation-mlogloss:1.07389
[50]	train-mlogloss:1.08310	validation-mlogloss:1.06922
[51]	train-mlogloss:1.07883	validation-mlogloss:1.06471
[52]	train-mlogloss:1.07455	validation-mlogloss:1.06013
[53]	train-mlogloss:1.07033	validation-mlogloss:1.05568
[54]	train-mlogloss:1.06601	validation-mlogloss:1.05120
[55]	train-mlogloss:1.06175	validation-mlogloss:1.04674
[56]	train-mlogloss:1.05767	validation-mlogloss:1.04259
[57]	train-mlogloss:1.05360	validation-mlogloss:1.03828
[58]	train-mlogloss:1.04947	validation-mlogloss:1.03411
[59]	train-mlogloss:1.04543	validation-mlogloss:1.02998
[60]	train-mlogloss:1.04139	validation-mlogloss:1.02575
[61]	train-mlogloss:1.03753	validation-mlogloss:1.02160
[62]	train-mlogloss:1.03361	validation-mlogloss:1.01750
[63]	train-mlogloss:1.02976	validation-mlogloss:1.01343
[64]	train-mlogloss:1.02590	validation-mlogloss:1.00942
[65]	train-mlogloss:1.02208	validation-mlogloss:1.00542
[66]	train-mlogloss:1.01840	validation-mlogloss:1.00147
[67]	train-mlogloss:1.01468	validation-mlogloss:0.99758
[68]	train-mlogloss:1.01099	validation-mlogloss:0.99373
[69]	train-mlogloss:1.00734	validation-mlogloss:0.98983
[70]	train-mlogloss:1.00378	validation-mlogloss:0.98616
[71]	train-mlogloss:1.00021	validation-mlogloss:0.98251
[72]	train-mlogloss:0.99672	validation-mlogloss:0.97892
[73]	train-mlogloss:0.99336	validation-mlogloss:0.97549
[74]	train-mlogloss:0.98993	validation-mlogloss:0.97191
[75]	train-mlogloss:0.98645	validation-mlogloss:0.96830
[76]	train-mlogloss:0.98311	validation-mlogloss:0.96479
[77]	train-mlogloss:0.97980	validation-mlogloss:0.96136
[78]	train-mlogloss:0.97648	validation-mlogloss:0.95788
[79]	train-mlogloss:0.97328	validation-mlogloss:0.95453
[80]	train-mlogloss:0.96991	validation-mlogloss:0.95097
[81]	train-mlogloss:0.96669	validation-mlogloss:0.94753
[82]	train-mlogloss:0.96349	validation-mlogloss:0.94416
[83]	train-mlogloss:0.96037	validation-mlogloss:0.94097
[84]	train-mlogloss:0.95731	validation-mlogloss:0.93767
[85]	train-mlogloss:0.95414	validation-mlogloss:0.93424
[86]	train-mlogloss:0.95093	validation-mlogloss:0.93081
[87]	train-mlogloss:0.94787	validation-mlogloss:0.92759
[88]	train-mlogloss:0.94486	validation-mlogloss:0.92437
[89]	train-mlogloss:0.94200	validation-mlogloss:0.92136
[90]	train-mlogloss:0.93905	validation-mlogloss:0.91829
[91]	train-mlogloss:0.93607	validation-mlogloss:0.91509
[92]	train-mlogloss:0.93319	validation-mlogloss:0.91206
[93]	train-mlogloss:0.93034	validation-mlogloss:0.90906
[94]	train-mlogloss:0.92751	validation-mlogloss:0.90597
[95]	train-mlogloss:0.92462	validation-mlogloss:0.90292
[96]	train-mlogloss:0.92185	validation-mlogloss:0.89993
[97]	train-mlogloss:0.91914	validation-mlogloss:0.89703
[98]	train-mlogloss:0.91645	validation-mlogloss:0.89412
[99]	train-mlogloss:0.91379	validation-mlogloss:0.89133
[100]	train-mlogloss:0.91114	validation-mlogloss:0.88851
[101]	train-mlogloss:0.90853	validation-mlogloss:0.88577
[102]	train-mlogloss:0.90593	validation-mlogloss:0.88298
[103]	train-mlogloss:0.90345	validation-mlogloss:0.88033
[104]	train-mlogloss:0.90088	validation-mlogloss:0.87764
[105]	train-mlogloss:0.89833	validation-mlogloss:0.87495
[106]	train-mlogloss:0.89576	validation-mlogloss:0.87217
[107]	train-mlogloss:0.89334	validation-mlogloss:0.86951
[108]	train-mlogloss:0.89088	validation-mlogloss:0.86693
[109]	train-mlogloss:0.88847	validation-mlogloss:0.86444
[110]	train-mlogloss:0.88595	validation-mlogloss:0.86168
[111]	train-mlogloss:0.88356	validation-mlogloss:0.85915
[112]	train-mlogloss:0.88118	validation-mlogloss:0.85663
[113]	train-mlogloss:0.87880	validation-mlogloss:0.85405
[114]	train-mlogloss:0.87641	validation-mlogloss:0.85150
[115]	train-mlogloss:0.87400	validation-mlogloss:0.84891
[116]	train-mlogloss:0.87173	validation-mlogloss:0.84658
[117]	train-mlogloss:0.86947	validation-mlogloss:0.84416
[118]	train-mlogloss:0.86725	validation-mlogloss:0.84179
[119]	train-mlogloss:0.86508	validation-mlogloss:0.83959
[120]	train-mlogloss:0.86265	validation-mlogloss:0.83702
[121]	train-mlogloss:0.86043	validation-mlogloss:0.83457
[122]	train-mlogloss:0.85827	validation-mlogloss:0.83222
[123]	train-mlogloss:0.85617	validation-mlogloss:0.82992
[124]	train-mlogloss:0.85400	validation-mlogloss:0.82769
[125]	train-mlogloss:0.85191	validation-mlogloss:0.82550
[126]	train-mlogloss:0.84986	validation-mlogloss:0.82339
[127]	train-mlogloss:0.84784	validation-mlogloss:0.82125
[128]	train-mlogloss:0.84582	validation-mlogloss:0.81908
[129]	train-mlogloss:0.84378	validation-mlogloss:0.81684
[130]	train-mlogloss:0.84177	validation-mlogloss:0.81468
[131]	train-mlogloss:0.83966	validation-mlogloss:0.81236
[132]	train-mlogloss:0.83763	validation-mlogloss:0.81013
[133]	train-mlogloss:0.83567	validation-mlogloss:0.80803
[134]	train-mlogloss:0.83374	validation-mlogloss:0.80606
[135]	train-mlogloss:0.83176	validation-mlogloss:0.80386
[136]	train-mlogloss:0.82975	validation-mlogloss:0.80167
[137]	train-mlogloss:0.82786	validation-mlogloss:0.79965
[138]	train-mlogloss:0.82600	validation-mlogloss:0.79759
[139]	train-mlogloss:0.82425	validation-mlogloss:0.79565
[140]	train-mlogloss:0.82241	validation-mlogloss:0.79365
[141]	train-mlogloss:0.82062	validation-mlogloss:0.79169
[142]	train-mlogloss:0.81881	validation-mlogloss:0.78973
[143]	train-mlogloss:0.81702	validation-mlogloss:0.78793
[144]	train-mlogloss:0.81516	validation-mlogloss:0.78589
[145]	train-mlogloss:0.81340	validation-mlogloss:0.78403
[146]	train-mlogloss:0.81161	validation-mlogloss:0.78206
[147]	train-mlogloss:0.80989	validation-mlogloss:0.78022
[148]	train-mlogloss:0.80811	validation-mlogloss:0.77827
[149]	train-mlogloss:0.80640	validation-mlogloss:0.77644
[150]	train-mlogloss:0.80465	validation-mlogloss:0.77446
[151]	train-mlogloss:0.80308	validation-mlogloss:0.77282
[152]	train-mlogloss:0.80135	validation-mlogloss:0.77095
[153]	train-mlogloss:0.79962	validation-mlogloss:0.76906
[154]	train-mlogloss:0.79790	validation-mlogloss:0.76711
[155]	train-mlogloss:0.79623	validation-mlogloss:0.76531
[156]	train-mlogloss:0.79465	validation-mlogloss:0.76359
[157]	train-mlogloss:0.79298	validation-mlogloss:0.76173
[158]	train-mlogloss:0.79130	validation-mlogloss:0.75979
[159]	train-mlogloss:0.78977	validation-mlogloss:0.75813
[160]	train-mlogloss:0.78817	validation-mlogloss:0.75630
[161]	train-mlogloss:0.78662	validation-mlogloss:0.75467
[162]	train-mlogloss:0.78510	validation-mlogloss:0.75300
[163]	train-mlogloss:0.78357	validation-mlogloss:0.75134
[164]	train-mlogloss:0.78208	validation-mlogloss:0.74973
[165]	train-mlogloss:0.78056	validation-mlogloss:0.74812
[166]	train-mlogloss:0.77904	validation-mlogloss:0.74647
[167]	train-mlogloss:0.77752	validation-mlogloss:0.74477
[168]	train-mlogloss:0.77603	validation-mlogloss:0.74319
[169]	train-mlogloss:0.77465	validation-mlogloss:0.74168
[170]	train-mlogloss:0.77325	validation-mlogloss:0.74022
[171]	train-mlogloss:0.77173	validation-mlogloss:0.73849
[172]	train-mlogloss:0.77037	validation-mlogloss:0.73702
[173]	train-mlogloss:0.76894	validation-mlogloss:0.73540
[174]	train-mlogloss:0.76753	validation-mlogloss:0.73374
[175]	train-mlogloss:0.76619	validation-mlogloss:0.73233
[176]	train-mlogloss:0.76480	validation-mlogloss:0.73076
[177]	train-mlogloss:0.76341	validation-mlogloss:0.72924
[178]	train-mlogloss:0.76204	validation-mlogloss:0.72778
[179]	train-mlogloss:0.76073	validation-mlogloss:0.72630
[180]	train-mlogloss:0.75937	validation-mlogloss:0.72479
[181]	train-mlogloss:0.75812	validation-mlogloss:0.72337
[182]	train-mlogloss:0.75695	validation-mlogloss:0.72210
[183]	train-mlogloss:0.75565	validation-mlogloss:0.72065
[184]	train-mlogloss:0.75428	validation-mlogloss:0.71914
[185]	train-mlogloss:0.75310	validation-mlogloss:0.71788
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[187]	train-mlogloss:0.75053	validation-mlogloss:0.71497
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[345]	train-mlogloss:0.63701	validation-mlogloss:0.58718
[346]	train-mlogloss:0.63663	validation-mlogloss:0.58672
[347]	train-mlogloss:0.63625	validation-mlogloss:0.58624
[348]	train-mlogloss:0.63585	validation-mlogloss:0.58578
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[350]	train-mlogloss:0.63521	validation-mlogloss:0.58506
[351]	train-mlogloss:0.63482	validation-mlogloss:0.58462
[352]	train-mlogloss:0.63444	validation-mlogloss:0.58418
[353]	train-mlogloss:0.63409	validation-mlogloss:0.58381
[354]	train-mlogloss:0.63368	validation-mlogloss:0.58335
[355]	train-mlogloss:0.63337	validation-mlogloss:0.58298
[356]	train-mlogloss:0.63306	validation-mlogloss:0.58262
[357]	train-mlogloss:0.63273	validation-mlogloss:0.58219
[358]	train-mlogloss:0.63242	validation-mlogloss:0.58183
[359]	train-mlogloss:0.63205	validation-mlogloss:0.58142
[360]	train-mlogloss:0.63172	validation-mlogloss:0.58102
[361]	train-mlogloss:0.63142	validation-mlogloss:0.58068
[362]	train-mlogloss:0.63111	validation-mlogloss:0.58030
[363]	train-mlogloss:0.63074	validation-mlogloss:0.57986
[364]	train-mlogloss:0.63038	validation-mlogloss:0.57943
[365]	train-mlogloss:0.63006	validation-mlogloss:0.57906
[366]	train-mlogloss:0.62972	validation-mlogloss:0.57870
[367]	train-mlogloss:0.62938	validation-mlogloss:0.57825
[368]	train-mlogloss:0.62899	validation-mlogloss:0.57777
[369]	train-mlogloss:0.62873	validation-mlogloss:0.57748
[370]	train-mlogloss:0.62837	validation-mlogloss:0.57710
[371]	train-mlogloss:0.62806	validation-mlogloss:0.57677
[372]	train-mlogloss:0.62773	validation-mlogloss:0.57637
[373]	train-mlogloss:0.62735	validation-mlogloss:0.57595
[374]	train-mlogloss:0.62703	validation-mlogloss:0.57560
[375]	train-mlogloss:0.62679	validation-mlogloss:0.57534
[376]	train-mlogloss:0.62640	validation-mlogloss:0.57493
[377]	train-mlogloss:0.62607	validation-mlogloss:0.57451
[378]	train-mlogloss:0.62577	validation-mlogloss:0.57414
[379]	train-mlogloss:0.62548	validation-mlogloss:0.57383
[380]	train-mlogloss:0.62514	validation-mlogloss:0.57347
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 1]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.44 [%]
Global accuracy score (test) = 77.33 [%]
Global F1 score (train) = 75.64 [%]
Global F1 score (test) = 78.06 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.66      0.62       350
MODERATE-INTENSITY       0.61      0.60      0.60       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.78      0.77      0.78      1372


Accuracy capturado en la ejecución 13: 77.33 [%]
F1-score capturado en la ejecución 13: 78.06 [%]

=== EJECUCIÓN 14 ===

--- TRAIN (ejecución 14) ---

--- TEST (ejecución 14) ---
2025-11-06 16:28:02.444248: 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`.
2025-11-06 16:28:02.456178: 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 00:00:1762442882.470045 1481186 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442882.474101 1481186 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442882.483950 1481186 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442882.483969 1481186 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442882.483971 1481186 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442882.483973 1481186 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:02.487043: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.37813	validation-mlogloss:1.37773
[1]	train-mlogloss:1.37006	validation-mlogloss:1.36914
[2]	train-mlogloss:1.36204	validation-mlogloss:1.36080
[3]	train-mlogloss:1.35421	validation-mlogloss:1.35256
[4]	train-mlogloss:1.34646	validation-mlogloss:1.34438
[5]	train-mlogloss:1.33887	validation-mlogloss:1.33633
[6]	train-mlogloss:1.33144	validation-mlogloss:1.32852
[7]	train-mlogloss:1.32401	validation-mlogloss:1.32061
[8]	train-mlogloss:1.31665	validation-mlogloss:1.31288
[9]	train-mlogloss:1.30944	validation-mlogloss:1.30529
[10]	train-mlogloss:1.30235	validation-mlogloss:1.29793
[11]	train-mlogloss:1.29543	validation-mlogloss:1.29069
[12]	train-mlogloss:1.28852	validation-mlogloss:1.28344
[13]	train-mlogloss:1.28168	validation-mlogloss:1.27626
[14]	train-mlogloss:1.27496	validation-mlogloss:1.26914
[15]	train-mlogloss:1.26838	validation-mlogloss:1.26223
[16]	train-mlogloss:1.26184	validation-mlogloss:1.25549
[17]	train-mlogloss:1.25530	validation-mlogloss:1.24853
[18]	train-mlogloss:1.24898	validation-mlogloss:1.24195
[19]	train-mlogloss:1.24262	validation-mlogloss:1.23527
[20]	train-mlogloss:1.23633	validation-mlogloss:1.22864
[21]	train-mlogloss:1.23021	validation-mlogloss:1.22217
[22]	train-mlogloss:1.22410	validation-mlogloss:1.21567
[23]	train-mlogloss:1.21811	validation-mlogloss:1.20932
[24]	train-mlogloss:1.21215	validation-mlogloss:1.20302
[25]	train-mlogloss:1.20630	validation-mlogloss:1.19685
[26]	train-mlogloss:1.20055	validation-mlogloss:1.19071
[27]	train-mlogloss:1.19484	validation-mlogloss:1.18475
[28]	train-mlogloss:1.18917	validation-mlogloss:1.17880
[29]	train-mlogloss:1.18370	validation-mlogloss:1.17298
[30]	train-mlogloss:1.17822	validation-mlogloss:1.16722
[31]	train-mlogloss:1.17275	validation-mlogloss:1.16143
[32]	train-mlogloss:1.16747	validation-mlogloss:1.15581
[33]	train-mlogloss:1.16211	validation-mlogloss:1.15020
[34]	train-mlogloss:1.15699	validation-mlogloss:1.14481
[35]	train-mlogloss:1.15194	validation-mlogloss:1.13959
[36]	train-mlogloss:1.14684	validation-mlogloss:1.13415
[37]	train-mlogloss:1.14177	validation-mlogloss:1.12882
[38]	train-mlogloss:1.13679	validation-mlogloss:1.12367
[39]	train-mlogloss:1.13180	validation-mlogloss:1.11840
[40]	train-mlogloss:1.12679	validation-mlogloss:1.11316
[41]	train-mlogloss:1.12202	validation-mlogloss:1.10809
[42]	train-mlogloss:1.11732	validation-mlogloss:1.10310
[43]	train-mlogloss:1.11256	validation-mlogloss:1.09804
[44]	train-mlogloss:1.10778	validation-mlogloss:1.09315
[45]	train-mlogloss:1.10321	validation-mlogloss:1.08830
[46]	train-mlogloss:1.09853	validation-mlogloss:1.08337
[47]	train-mlogloss:1.09402	validation-mlogloss:1.07858
[48]	train-mlogloss:1.08953	validation-mlogloss:1.07385
[49]	train-mlogloss:1.08516	validation-mlogloss:1.06923
[50]	train-mlogloss:1.08067	validation-mlogloss:1.06455
[51]	train-mlogloss:1.07621	validation-mlogloss:1.05992
[52]	train-mlogloss:1.07183	validation-mlogloss:1.05542
[53]	train-mlogloss:1.06765	validation-mlogloss:1.05098
[54]	train-mlogloss:1.06334	validation-mlogloss:1.04643
[55]	train-mlogloss:1.05910	validation-mlogloss:1.04202
[56]	train-mlogloss:1.05500	validation-mlogloss:1.03774
[57]	train-mlogloss:1.05098	validation-mlogloss:1.03340
[58]	train-mlogloss:1.04706	validation-mlogloss:1.02925
[59]	train-mlogloss:1.04304	validation-mlogloss:1.02510
[60]	train-mlogloss:1.03917	validation-mlogloss:1.02096
[61]	train-mlogloss:1.03531	validation-mlogloss:1.01696
[62]	train-mlogloss:1.03143	validation-mlogloss:1.01294
[63]	train-mlogloss:1.02751	validation-mlogloss:1.00887
[64]	train-mlogloss:1.02365	validation-mlogloss:1.00480
[65]	train-mlogloss:1.01985	validation-mlogloss:1.00085
[66]	train-mlogloss:1.01617	validation-mlogloss:0.99697
[67]	train-mlogloss:1.01249	validation-mlogloss:0.99307
[68]	train-mlogloss:1.00880	validation-mlogloss:0.98920
[69]	train-mlogloss:1.00519	validation-mlogloss:0.98544
[70]	train-mlogloss:1.00159	validation-mlogloss:0.98167
[71]	train-mlogloss:0.99789	validation-mlogloss:0.97777
[72]	train-mlogloss:0.99432	validation-mlogloss:0.97401
[73]	train-mlogloss:0.99082	validation-mlogloss:0.97039
[74]	train-mlogloss:0.98738	validation-mlogloss:0.96683
[75]	train-mlogloss:0.98396	validation-mlogloss:0.96328
[76]	train-mlogloss:0.98062	validation-mlogloss:0.95980
[77]	train-mlogloss:0.97718	validation-mlogloss:0.95622
[78]	train-mlogloss:0.97388	validation-mlogloss:0.95288
[79]	train-mlogloss:0.97057	validation-mlogloss:0.94953
[80]	train-mlogloss:0.96737	validation-mlogloss:0.94622
[81]	train-mlogloss:0.96418	validation-mlogloss:0.94281
[82]	train-mlogloss:0.96098	validation-mlogloss:0.93953
[83]	train-mlogloss:0.95783	validation-mlogloss:0.93615
[84]	train-mlogloss:0.95473	validation-mlogloss:0.93281
[85]	train-mlogloss:0.95174	validation-mlogloss:0.92960
[86]	train-mlogloss:0.94854	validation-mlogloss:0.92624
[87]	train-mlogloss:0.94551	validation-mlogloss:0.92309
[88]	train-mlogloss:0.94255	validation-mlogloss:0.91998
[89]	train-mlogloss:0.93960	validation-mlogloss:0.91682
[90]	train-mlogloss:0.93670	validation-mlogloss:0.91382
[91]	train-mlogloss:0.93384	validation-mlogloss:0.91078
[92]	train-mlogloss:0.93098	validation-mlogloss:0.90779
[93]	train-mlogloss:0.92803	validation-mlogloss:0.90466
[94]	train-mlogloss:0.92525	validation-mlogloss:0.90153
[95]	train-mlogloss:0.92235	validation-mlogloss:0.89838
[96]	train-mlogloss:0.91955	validation-mlogloss:0.89553
[97]	train-mlogloss:0.91678	validation-mlogloss:0.89259
[98]	train-mlogloss:0.91399	validation-mlogloss:0.88965
[99]	train-mlogloss:0.91124	validation-mlogloss:0.88669
[100]	train-mlogloss:0.90860	validation-mlogloss:0.88399
[101]	train-mlogloss:0.90599	validation-mlogloss:0.88120
[102]	train-mlogloss:0.90331	validation-mlogloss:0.87827
[103]	train-mlogloss:0.90077	validation-mlogloss:0.87560
[104]	train-mlogloss:0.89819	validation-mlogloss:0.87286
[105]	train-mlogloss:0.89562	validation-mlogloss:0.87007
[106]	train-mlogloss:0.89301	validation-mlogloss:0.86725
[107]	train-mlogloss:0.89048	validation-mlogloss:0.86451
[108]	train-mlogloss:0.88793	validation-mlogloss:0.86175
[109]	train-mlogloss:0.88540	validation-mlogloss:0.85895
[110]	train-mlogloss:0.88300	validation-mlogloss:0.85634
[111]	train-mlogloss:0.88052	validation-mlogloss:0.85364
[112]	train-mlogloss:0.87823	validation-mlogloss:0.85114
[113]	train-mlogloss:0.87597	validation-mlogloss:0.84875
[114]	train-mlogloss:0.87358	validation-mlogloss:0.84619
[115]	train-mlogloss:0.87136	validation-mlogloss:0.84382
[116]	train-mlogloss:0.86899	validation-mlogloss:0.84128
[117]	train-mlogloss:0.86676	validation-mlogloss:0.83886
[118]	train-mlogloss:0.86445	validation-mlogloss:0.83642
[119]	train-mlogloss:0.86213	validation-mlogloss:0.83396
[120]	train-mlogloss:0.85995	validation-mlogloss:0.83161
[121]	train-mlogloss:0.85771	validation-mlogloss:0.82921
[122]	train-mlogloss:0.85555	validation-mlogloss:0.82690
[123]	train-mlogloss:0.85347	validation-mlogloss:0.82467
[124]	train-mlogloss:0.85138	validation-mlogloss:0.82242
[125]	train-mlogloss:0.84920	validation-mlogloss:0.82003
[126]	train-mlogloss:0.84711	validation-mlogloss:0.81777
[127]	train-mlogloss:0.84496	validation-mlogloss:0.81549
[128]	train-mlogloss:0.84291	validation-mlogloss:0.81324
[129]	train-mlogloss:0.84084	validation-mlogloss:0.81100
[130]	train-mlogloss:0.83881	validation-mlogloss:0.80885
[131]	train-mlogloss:0.83678	validation-mlogloss:0.80670
[132]	train-mlogloss:0.83481	validation-mlogloss:0.80458
[133]	train-mlogloss:0.83288	validation-mlogloss:0.80251
[134]	train-mlogloss:0.83085	validation-mlogloss:0.80026
[135]	train-mlogloss:0.82891	validation-mlogloss:0.79810
[136]	train-mlogloss:0.82702	validation-mlogloss:0.79598
[137]	train-mlogloss:0.82504	validation-mlogloss:0.79385
[138]	train-mlogloss:0.82315	validation-mlogloss:0.79183
[139]	train-mlogloss:0.82126	validation-mlogloss:0.78969
[140]	train-mlogloss:0.81943	validation-mlogloss:0.78772
[141]	train-mlogloss:0.81760	validation-mlogloss:0.78586
[142]	train-mlogloss:0.81581	validation-mlogloss:0.78394
[143]	train-mlogloss:0.81399	validation-mlogloss:0.78201
[144]	train-mlogloss:0.81228	validation-mlogloss:0.78020
[145]	train-mlogloss:0.81047	validation-mlogloss:0.77818
[146]	train-mlogloss:0.80862	validation-mlogloss:0.77609
[147]	train-mlogloss:0.80676	validation-mlogloss:0.77405
[148]	train-mlogloss:0.80499	validation-mlogloss:0.77208
[149]	train-mlogloss:0.80327	validation-mlogloss:0.77022
[150]	train-mlogloss:0.80163	validation-mlogloss:0.76845
[151]	train-mlogloss:0.79995	validation-mlogloss:0.76664
[152]	train-mlogloss:0.79832	validation-mlogloss:0.76484
[153]	train-mlogloss:0.79660	validation-mlogloss:0.76291
[154]	train-mlogloss:0.79504	validation-mlogloss:0.76123
[155]	train-mlogloss:0.79335	validation-mlogloss:0.75937
[156]	train-mlogloss:0.79167	validation-mlogloss:0.75758
[157]	train-mlogloss:0.78994	validation-mlogloss:0.75559
[158]	train-mlogloss:0.78828	validation-mlogloss:0.75372
[159]	train-mlogloss:0.78671	validation-mlogloss:0.75200
[160]	train-mlogloss:0.78519	validation-mlogloss:0.75035
[161]	train-mlogloss:0.78367	validation-mlogloss:0.74866
[162]	train-mlogloss:0.78207	validation-mlogloss:0.74685
[163]	train-mlogloss:0.78059	validation-mlogloss:0.74527
[164]	train-mlogloss:0.77914	validation-mlogloss:0.74370
[165]	train-mlogloss:0.77766	validation-mlogloss:0.74210
[166]	train-mlogloss:0.77610	validation-mlogloss:0.74023
[167]	train-mlogloss:0.77470	validation-mlogloss:0.73864
[168]	train-mlogloss:0.77329	validation-mlogloss:0.73705
[169]	train-mlogloss:0.77183	validation-mlogloss:0.73539
[170]	train-mlogloss:0.77034	validation-mlogloss:0.73368
[171]	train-mlogloss:0.76887	validation-mlogloss:0.73203
[172]	train-mlogloss:0.76743	validation-mlogloss:0.73045
[173]	train-mlogloss:0.76601	validation-mlogloss:0.72881
[174]	train-mlogloss:0.76456	validation-mlogloss:0.72709
[175]	train-mlogloss:0.76318	validation-mlogloss:0.72548
[176]	train-mlogloss:0.76182	validation-mlogloss:0.72399
[177]	train-mlogloss:0.76053	validation-mlogloss:0.72251
[178]	train-mlogloss:0.75919	validation-mlogloss:0.72095
[179]	train-mlogloss:0.75793	validation-mlogloss:0.71955
[180]	train-mlogloss:0.75654	validation-mlogloss:0.71802
[181]	train-mlogloss:0.75528	validation-mlogloss:0.71670
[182]	train-mlogloss:0.75398	validation-mlogloss:0.71517
[183]	train-mlogloss:0.75265	validation-mlogloss:0.71368
[184]	train-mlogloss:0.75128	validation-mlogloss:0.71212
[185]	train-mlogloss:0.75001	validation-mlogloss:0.71070
[186]	train-mlogloss:0.74885	validation-mlogloss:0.70939
[187]	train-mlogloss:0.74767	validation-mlogloss:0.70806
[188]	train-mlogloss:0.74656	validation-mlogloss:0.70684
[189]	train-mlogloss:0.74530	validation-mlogloss:0.70542
[190]	train-mlogloss:0.74404	validation-mlogloss:0.70399
[191]	train-mlogloss:0.74282	validation-mlogloss:0.70256
[192]	train-mlogloss:0.74154	validation-mlogloss:0.70118
[193]	train-mlogloss:0.74038	validation-mlogloss:0.69982
[194]	train-mlogloss:0.73927	validation-mlogloss:0.69862
[195]	train-mlogloss:0.73814	validation-mlogloss:0.69737
[196]	train-mlogloss:0.73682	validation-mlogloss:0.69596
[197]	train-mlogloss:0.73567	validation-mlogloss:0.69468
[198]	train-mlogloss:0.73450	validation-mlogloss:0.69328
[199]	train-mlogloss:0.73334	validation-mlogloss:0.69190
[200]	train-mlogloss:0.73220	validation-mlogloss:0.69065
[201]	train-mlogloss:0.73116	validation-mlogloss:0.68949
[202]	train-mlogloss:0.73009	validation-mlogloss:0.68831
[203]	train-mlogloss:0.72900	validation-mlogloss:0.68708
[204]	train-mlogloss:0.72796	validation-mlogloss:0.68584
[205]	train-mlogloss:0.72693	validation-mlogloss:0.68464
[206]	train-mlogloss:0.72592	validation-mlogloss:0.68348
[207]	train-mlogloss:0.72484	validation-mlogloss:0.68225
[208]	train-mlogloss:0.72376	validation-mlogloss:0.68104
[209]	train-mlogloss:0.72275	validation-mlogloss:0.67989
[210]	train-mlogloss:0.72164	validation-mlogloss:0.67868
[211]	train-mlogloss:0.72067	validation-mlogloss:0.67750
[212]	train-mlogloss:0.71973	validation-mlogloss:0.67643
[213]	train-mlogloss:0.71877	validation-mlogloss:0.67531
[214]	train-mlogloss:0.71778	validation-mlogloss:0.67419
[215]	train-mlogloss:0.71674	validation-mlogloss:0.67297
[216]	train-mlogloss:0.71583	validation-mlogloss:0.67197
[217]	train-mlogloss:0.71492	validation-mlogloss:0.67093
[218]	train-mlogloss:0.71399	validation-mlogloss:0.66985
[219]	train-mlogloss:0.71305	validation-mlogloss:0.66873
[220]	train-mlogloss:0.71203	validation-mlogloss:0.66753
[221]	train-mlogloss:0.71103	validation-mlogloss:0.66634
[222]	train-mlogloss:0.71006	validation-mlogloss:0.66521
[223]	train-mlogloss:0.70911	validation-mlogloss:0.66412
[224]	train-mlogloss:0.70826	validation-mlogloss:0.66310
[225]	train-mlogloss:0.70725	validation-mlogloss:0.66192
[226]	train-mlogloss:0.70635	validation-mlogloss:0.66088
[227]	train-mlogloss:0.70541	validation-mlogloss:0.65973
[228]	train-mlogloss:0.70445	validation-mlogloss:0.65868
[229]	train-mlogloss:0.70350	validation-mlogloss:0.65763
[230]	train-mlogloss:0.70250	validation-mlogloss:0.65652
[231]	train-mlogloss:0.70167	validation-mlogloss:0.65557
[232]	train-mlogloss:0.70078	validation-mlogloss:0.65453
[233]	train-mlogloss:0.69993	validation-mlogloss:0.65350
[234]	train-mlogloss:0.69907	validation-mlogloss:0.65253
[235]	train-mlogloss:0.69814	validation-mlogloss:0.65150
[236]	train-mlogloss:0.69723	validation-mlogloss:0.65040
[237]	train-mlogloss:0.69638	validation-mlogloss:0.64943
[238]	train-mlogloss:0.69564	validation-mlogloss:0.64855
[239]	train-mlogloss:0.69483	validation-mlogloss:0.64764
[240]	train-mlogloss:0.69402	validation-mlogloss:0.64673
[241]	train-mlogloss:0.69313	validation-mlogloss:0.64572
[242]	train-mlogloss:0.69235	validation-mlogloss:0.64482
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[251]	train-mlogloss:0.68521	validation-mlogloss:0.63658
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[271]	train-mlogloss:0.67075	validation-mlogloss:0.61973
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[274]	train-mlogloss:0.66870	validation-mlogloss:0.61734
[275]	train-mlogloss:0.66805	validation-mlogloss:0.61657
[276]	train-mlogloss:0.66735	validation-mlogloss:0.61577
[277]	train-mlogloss:0.66664	validation-mlogloss:0.61500
[278]	train-mlogloss:0.66598	validation-mlogloss:0.61420
[279]	train-mlogloss:0.66532	validation-mlogloss:0.61338
[280]	train-mlogloss:0.66470	validation-mlogloss:0.61266
[281]	train-mlogloss:0.66415	validation-mlogloss:0.61202
[282]	train-mlogloss:0.66352	validation-mlogloss:0.61124
[283]	train-mlogloss:0.66287	validation-mlogloss:0.61046
[284]	train-mlogloss:0.66224	validation-mlogloss:0.60975
[285]	train-mlogloss:0.66164	validation-mlogloss:0.60900
[286]	train-mlogloss:0.66107	validation-mlogloss:0.60832
[287]	train-mlogloss:0.66043	validation-mlogloss:0.60759
[288]	train-mlogloss:0.65981	validation-mlogloss:0.60691
[289]	train-mlogloss:0.65926	validation-mlogloss:0.60628
[290]	train-mlogloss:0.65870	validation-mlogloss:0.60564
[291]	train-mlogloss:0.65813	validation-mlogloss:0.60496
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[299]	train-mlogloss:0.65370	validation-mlogloss:0.59968
[300]	train-mlogloss:0.65315	validation-mlogloss:0.59910
[301]	train-mlogloss:0.65260	validation-mlogloss:0.59850
[302]	train-mlogloss:0.65208	validation-mlogloss:0.59791
[303]	train-mlogloss:0.65149	validation-mlogloss:0.59724
[304]	train-mlogloss:0.65097	validation-mlogloss:0.59666
[305]	train-mlogloss:0.65047	validation-mlogloss:0.59607
[306]	train-mlogloss:0.64996	validation-mlogloss:0.59547
[307]	train-mlogloss:0.64942	validation-mlogloss:0.59485
[308]	train-mlogloss:0.64886	validation-mlogloss:0.59418
[309]	train-mlogloss:0.64837	validation-mlogloss:0.59359
[310]	train-mlogloss:0.64785	validation-mlogloss:0.59300
[311]	train-mlogloss:0.64732	validation-mlogloss:0.59240
[312]	train-mlogloss:0.64677	validation-mlogloss:0.59173
[313]	train-mlogloss:0.64625	validation-mlogloss:0.59111
[314]	train-mlogloss:0.64572	validation-mlogloss:0.59049
[315]	train-mlogloss:0.64517	validation-mlogloss:0.58984
[316]	train-mlogloss:0.64465	validation-mlogloss:0.58919
[317]	train-mlogloss:0.64416	validation-mlogloss:0.58861
[318]	train-mlogloss:0.64372	validation-mlogloss:0.58808
[319]	train-mlogloss:0.64330	validation-mlogloss:0.58756
[320]	train-mlogloss:0.64284	validation-mlogloss:0.58703
[321]	train-mlogloss:0.64234	validation-mlogloss:0.58646
[322]	train-mlogloss:0.64188	validation-mlogloss:0.58586
[323]	train-mlogloss:0.64142	validation-mlogloss:0.58530
[324]	train-mlogloss:0.64094	validation-mlogloss:0.58474
[325]	train-mlogloss:0.64054	validation-mlogloss:0.58420
[326]	train-mlogloss:0.64010	validation-mlogloss:0.58368
[327]	train-mlogloss:0.63967	validation-mlogloss:0.58315
[328]	train-mlogloss:0.63925	validation-mlogloss:0.58269
[329]	train-mlogloss:0.63885	validation-mlogloss:0.58221
[330]	train-mlogloss:0.63837	validation-mlogloss:0.58167
[331]	train-mlogloss:0.63793	validation-mlogloss:0.58112
[332]	train-mlogloss:0.63748	validation-mlogloss:0.58057
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[334]	train-mlogloss:0.63677	validation-mlogloss:0.57973
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[336]	train-mlogloss:0.63589	validation-mlogloss:0.57871
[337]	train-mlogloss:0.63549	validation-mlogloss:0.57825
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[340]	train-mlogloss:0.63430	validation-mlogloss:0.57687
[341]	train-mlogloss:0.63393	validation-mlogloss:0.57646
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[344]	train-mlogloss:0.63272	validation-mlogloss:0.57506
[345]	train-mlogloss:0.63233	validation-mlogloss:0.57460
[346]	train-mlogloss:0.63201	validation-mlogloss:0.57426
[347]	train-mlogloss:0.63166	validation-mlogloss:0.57381
[348]	train-mlogloss:0.63130	validation-mlogloss:0.57334
[349]	train-mlogloss:0.63092	validation-mlogloss:0.57287
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[352]	train-mlogloss:0.62986	validation-mlogloss:0.57153
[353]	train-mlogloss:0.62951	validation-mlogloss:0.57112
[354]	train-mlogloss:0.62918	validation-mlogloss:0.57074
[355]	train-mlogloss:0.62884	validation-mlogloss:0.57029
[356]	train-mlogloss:0.62845	validation-mlogloss:0.56980
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[358]	train-mlogloss:0.62777	validation-mlogloss:0.56898
[359]	train-mlogloss:0.62741	validation-mlogloss:0.56858
[360]	train-mlogloss:0.62705	validation-mlogloss:0.56810
[361]	train-mlogloss:0.62670	validation-mlogloss:0.56771
[362]	train-mlogloss:0.62638	validation-mlogloss:0.56733
[363]	train-mlogloss:0.62608	validation-mlogloss:0.56698
[364]	train-mlogloss:0.62578	validation-mlogloss:0.56665
[365]	train-mlogloss:0.62549	validation-mlogloss:0.56629
[366]	train-mlogloss:0.62517	validation-mlogloss:0.56594
[367]	train-mlogloss:0.62489	validation-mlogloss:0.56560
[368]	train-mlogloss:0.62455	validation-mlogloss:0.56521
[369]	train-mlogloss:0.62425	validation-mlogloss:0.56481
[370]	train-mlogloss:0.62388	validation-mlogloss:0.56437
[371]	train-mlogloss:0.62361	validation-mlogloss:0.56403
[372]	train-mlogloss:0.62328	validation-mlogloss:0.56365
[373]	train-mlogloss:0.62290	validation-mlogloss:0.56324
[374]	train-mlogloss:0.62258	validation-mlogloss:0.56289
[375]	train-mlogloss:0.62224	validation-mlogloss:0.56250
[376]	train-mlogloss:0.62194	validation-mlogloss:0.56217
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[379]	train-mlogloss:0.62110	validation-mlogloss:0.56121
[380]	train-mlogloss:0.62081	validation-mlogloss:0.56088
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.47 [%]
Global accuracy score (test) = 78.5 [%]
Global F1 score (train) = 75.67 [%]
Global F1 score (test) = 79.26 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.64      0.63       350
MODERATE-INTENSITY       0.62      0.66      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.98      0.89      0.93       322

          accuracy                           0.78      1372
         macro avg       0.80      0.79      0.79      1372
      weighted avg       0.80      0.78      0.79      1372


Accuracy capturado en la ejecución 14: 78.5 [%]
F1-score capturado en la ejecución 14: 79.26 [%]

=== EJECUCIÓN 15 ===

--- TRAIN (ejecución 15) ---

--- TEST (ejecución 15) ---
2025-11-06 16:28:13.601343: 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`.
2025-11-06 16:28:13.612952: 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 00:00:1762442893.626467 1481442 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442893.630645 1481442 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442893.640638 1481442 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442893.640660 1481442 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442893.640662 1481442 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442893.640664 1481442 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:13.643872: 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:1.37818	validation-mlogloss:1.37802
[1]	train-mlogloss:1.37040	validation-mlogloss:1.36982
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[19]	train-mlogloss:1.24438	validation-mlogloss:1.23807
[20]	train-mlogloss:1.23820	validation-mlogloss:1.23157
[21]	train-mlogloss:1.23210	validation-mlogloss:1.22519
[22]	train-mlogloss:1.22604	validation-mlogloss:1.21878
[23]	train-mlogloss:1.22007	validation-mlogloss:1.21255
[24]	train-mlogloss:1.21413	validation-mlogloss:1.20632
[25]	train-mlogloss:1.20832	validation-mlogloss:1.20021
[26]	train-mlogloss:1.20255	validation-mlogloss:1.19407
[27]	train-mlogloss:1.19692	validation-mlogloss:1.18809
[28]	train-mlogloss:1.19129	validation-mlogloss:1.18236
[29]	train-mlogloss:1.18574	validation-mlogloss:1.17645
[30]	train-mlogloss:1.18024	validation-mlogloss:1.17064
[31]	train-mlogloss:1.17484	validation-mlogloss:1.16495
[32]	train-mlogloss:1.16950	validation-mlogloss:1.15945
[33]	train-mlogloss:1.16424	validation-mlogloss:1.15387
[34]	train-mlogloss:1.15906	validation-mlogloss:1.14843
[35]	train-mlogloss:1.15396	validation-mlogloss:1.14315
[36]	train-mlogloss:1.14882	validation-mlogloss:1.13784
[37]	train-mlogloss:1.14374	validation-mlogloss:1.13251
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[39]	train-mlogloss:1.13378	validation-mlogloss:1.12194
[40]	train-mlogloss:1.12899	validation-mlogloss:1.11692
[41]	train-mlogloss:1.12414	validation-mlogloss:1.11199
[42]	train-mlogloss:1.11927	validation-mlogloss:1.10699
[43]	train-mlogloss:1.11464	validation-mlogloss:1.10211
[44]	train-mlogloss:1.10994	validation-mlogloss:1.09722
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[49]	train-mlogloss:1.08703	validation-mlogloss:1.07341
[50]	train-mlogloss:1.08261	validation-mlogloss:1.06887
[51]	train-mlogloss:1.07816	validation-mlogloss:1.06424
[52]	train-mlogloss:1.07376	validation-mlogloss:1.05953
[53]	train-mlogloss:1.06955	validation-mlogloss:1.05512
[54]	train-mlogloss:1.06540	validation-mlogloss:1.05068
[55]	train-mlogloss:1.06128	validation-mlogloss:1.04630
[56]	train-mlogloss:1.05707	validation-mlogloss:1.04200
[57]	train-mlogloss:1.05297	validation-mlogloss:1.03770
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[60]	train-mlogloss:1.04092	validation-mlogloss:1.02520
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[63]	train-mlogloss:1.02915	validation-mlogloss:1.01314
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[68]	train-mlogloss:1.01016	validation-mlogloss:0.99325
[69]	train-mlogloss:1.00647	validation-mlogloss:0.98935
[70]	train-mlogloss:1.00291	validation-mlogloss:0.98568
[71]	train-mlogloss:0.99931	validation-mlogloss:0.98190
[72]	train-mlogloss:0.99572	validation-mlogloss:0.97814
[73]	train-mlogloss:0.99226	validation-mlogloss:0.97450
[74]	train-mlogloss:0.98873	validation-mlogloss:0.97082
[75]	train-mlogloss:0.98537	validation-mlogloss:0.96723
[76]	train-mlogloss:0.98197	validation-mlogloss:0.96373
[77]	train-mlogloss:0.97865	validation-mlogloss:0.96025
[78]	train-mlogloss:0.97531	validation-mlogloss:0.95676
[79]	train-mlogloss:0.97210	validation-mlogloss:0.95343
[80]	train-mlogloss:0.96881	validation-mlogloss:0.94996
[81]	train-mlogloss:0.96555	validation-mlogloss:0.94656
[82]	train-mlogloss:0.96223	validation-mlogloss:0.94301
[83]	train-mlogloss:0.95908	validation-mlogloss:0.93970
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Saved model to disk.
['LIGHT-INTENSITY' 'MODERATE-INTENSITY' 'SEDENTARY' 'VIGOROUS-INTENSITY']
4
Mapeo de etiquetas: {'LIGHT-INTENSITY': 0, 'MODERATE-INTENSITY': 1, 'SEDENTARY': 2, 'VIGOROUS-INTENSITY': 3}
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Training a non-convolutional model.
Loaded model from disk.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 1 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.78 [%]
Global accuracy score (test) = 77.84 [%]
Global F1 score (train) = 74.74 [%]
Global F1 score (test) = 78.36 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.64      0.53      0.58       350
MODERATE-INTENSITY       0.58      0.75      0.65       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.80      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 15: 77.84 [%]
F1-score capturado en la ejecución 15: 78.36 [%]

=== EJECUCIÓN 16 ===

--- TRAIN (ejecución 16) ---

--- TEST (ejecución 16) ---
2025-11-06 16:28:24.795062: 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`.
2025-11-06 16:28:24.806432: 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 00:00:1762442904.819344 1481698 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442904.823539 1481698 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442904.833391 1481698 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442904.833409 1481698 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442904.833411 1481698 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442904.833413 1481698 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:24.836573: 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:1.37815	validation-mlogloss:1.37766
[1]	train-mlogloss:1.37024	validation-mlogloss:1.36921
[2]	train-mlogloss:1.36257	validation-mlogloss:1.36120
[3]	train-mlogloss:1.35486	validation-mlogloss:1.35296
[4]	train-mlogloss:1.34720	validation-mlogloss:1.34488
[5]	train-mlogloss:1.33968	validation-mlogloss:1.33681
[6]	train-mlogloss:1.33240	validation-mlogloss:1.32924
[7]	train-mlogloss:1.32512	validation-mlogloss:1.32151
[8]	train-mlogloss:1.31786	validation-mlogloss:1.31382
[9]	train-mlogloss:1.31075	validation-mlogloss:1.30631
[10]	train-mlogloss:1.30369	validation-mlogloss:1.29891
[11]	train-mlogloss:1.29676	validation-mlogloss:1.29163
[12]	train-mlogloss:1.28994	validation-mlogloss:1.28433
[13]	train-mlogloss:1.28314	validation-mlogloss:1.27711
[14]	train-mlogloss:1.27647	validation-mlogloss:1.27016
[15]	train-mlogloss:1.26989	validation-mlogloss:1.26326
[16]	train-mlogloss:1.26334	validation-mlogloss:1.25633
[17]	train-mlogloss:1.25686	validation-mlogloss:1.24943
[18]	train-mlogloss:1.25049	validation-mlogloss:1.24263
[19]	train-mlogloss:1.24422	validation-mlogloss:1.23597
[20]	train-mlogloss:1.23806	validation-mlogloss:1.22934
[21]	train-mlogloss:1.23205	validation-mlogloss:1.22292
[22]	train-mlogloss:1.22602	validation-mlogloss:1.21647
[23]	train-mlogloss:1.22015	validation-mlogloss:1.21029
[24]	train-mlogloss:1.21438	validation-mlogloss:1.20424
[25]	train-mlogloss:1.20862	validation-mlogloss:1.19828
[26]	train-mlogloss:1.20291	validation-mlogloss:1.19213
[27]	train-mlogloss:1.19726	validation-mlogloss:1.18613
[28]	train-mlogloss:1.19172	validation-mlogloss:1.18022
[29]	train-mlogloss:1.18625	validation-mlogloss:1.17438
[30]	train-mlogloss:1.18082	validation-mlogloss:1.16876
[31]	train-mlogloss:1.17546	validation-mlogloss:1.16309
[32]	train-mlogloss:1.17017	validation-mlogloss:1.15759
[33]	train-mlogloss:1.16492	validation-mlogloss:1.15211
[34]	train-mlogloss:1.15971	validation-mlogloss:1.14652
[35]	train-mlogloss:1.15443	validation-mlogloss:1.14108
[36]	train-mlogloss:1.14934	validation-mlogloss:1.13560
[37]	train-mlogloss:1.14436	validation-mlogloss:1.13031
[38]	train-mlogloss:1.13938	validation-mlogloss:1.12502
[39]	train-mlogloss:1.13448	validation-mlogloss:1.11982
[40]	train-mlogloss:1.12966	validation-mlogloss:1.11466
[41]	train-mlogloss:1.12473	validation-mlogloss:1.10941
[42]	train-mlogloss:1.11992	validation-mlogloss:1.10427
[43]	train-mlogloss:1.11523	validation-mlogloss:1.09925
[44]	train-mlogloss:1.11065	validation-mlogloss:1.09441
[45]	train-mlogloss:1.10611	validation-mlogloss:1.08963
[46]	train-mlogloss:1.10144	validation-mlogloss:1.08475
[47]	train-mlogloss:1.09684	validation-mlogloss:1.07992
[48]	train-mlogloss:1.09245	validation-mlogloss:1.07525
[49]	train-mlogloss:1.08803	validation-mlogloss:1.07047
[50]	train-mlogloss:1.08362	validation-mlogloss:1.06579
[51]	train-mlogloss:1.07920	validation-mlogloss:1.06123
[52]	train-mlogloss:1.07490	validation-mlogloss:1.05670
[53]	train-mlogloss:1.07067	validation-mlogloss:1.05227
[54]	train-mlogloss:1.06640	validation-mlogloss:1.04774
[55]	train-mlogloss:1.06222	validation-mlogloss:1.04339
[56]	train-mlogloss:1.05810	validation-mlogloss:1.03886
[57]	train-mlogloss:1.05398	validation-mlogloss:1.03457
[58]	train-mlogloss:1.04991	validation-mlogloss:1.03032
[59]	train-mlogloss:1.04584	validation-mlogloss:1.02606
[60]	train-mlogloss:1.04192	validation-mlogloss:1.02176
[61]	train-mlogloss:1.03800	validation-mlogloss:1.01764
[62]	train-mlogloss:1.03410	validation-mlogloss:1.01350
[63]	train-mlogloss:1.03021	validation-mlogloss:1.00940
[64]	train-mlogloss:1.02636	validation-mlogloss:1.00533
[65]	train-mlogloss:1.02256	validation-mlogloss:1.00135
[66]	train-mlogloss:1.01885	validation-mlogloss:0.99742
[67]	train-mlogloss:1.01515	validation-mlogloss:0.99351
[68]	train-mlogloss:1.01154	validation-mlogloss:0.98969
[69]	train-mlogloss:1.00793	validation-mlogloss:0.98591
[70]	train-mlogloss:1.00434	validation-mlogloss:0.98212
[71]	train-mlogloss:1.00081	validation-mlogloss:0.97837
[72]	train-mlogloss:0.99734	validation-mlogloss:0.97461
[73]	train-mlogloss:0.99398	validation-mlogloss:0.97099
[74]	train-mlogloss:0.99052	validation-mlogloss:0.96736
[75]	train-mlogloss:0.98712	validation-mlogloss:0.96380
[76]	train-mlogloss:0.98383	validation-mlogloss:0.96037
[77]	train-mlogloss:0.98051	validation-mlogloss:0.95693
[78]	train-mlogloss:0.97721	validation-mlogloss:0.95343
[79]	train-mlogloss:0.97393	validation-mlogloss:0.95000
[80]	train-mlogloss:0.97056	validation-mlogloss:0.94642
[81]	train-mlogloss:0.96744	validation-mlogloss:0.94307
[82]	train-mlogloss:0.96424	validation-mlogloss:0.93976
[83]	train-mlogloss:0.96116	validation-mlogloss:0.93648
[84]	train-mlogloss:0.95799	validation-mlogloss:0.93310
[85]	train-mlogloss:0.95496	validation-mlogloss:0.92987
[86]	train-mlogloss:0.95179	validation-mlogloss:0.92644
[87]	train-mlogloss:0.94879	validation-mlogloss:0.92328
[88]	train-mlogloss:0.94593	validation-mlogloss:0.92020
[89]	train-mlogloss:0.94293	validation-mlogloss:0.91700
[90]	train-mlogloss:0.94011	validation-mlogloss:0.91392
[91]	train-mlogloss:0.93732	validation-mlogloss:0.91097
[92]	train-mlogloss:0.93446	validation-mlogloss:0.90795
[93]	train-mlogloss:0.93162	validation-mlogloss:0.90497
[94]	train-mlogloss:0.92856	validation-mlogloss:0.90179
[95]	train-mlogloss:0.92576	validation-mlogloss:0.89882
[96]	train-mlogloss:0.92306	validation-mlogloss:0.89599
[97]	train-mlogloss:0.92021	validation-mlogloss:0.89295
[98]	train-mlogloss:0.91750	validation-mlogloss:0.89011
[99]	train-mlogloss:0.91487	validation-mlogloss:0.88731
[100]	train-mlogloss:0.91226	validation-mlogloss:0.88454
[101]	train-mlogloss:0.90967	validation-mlogloss:0.88174
[102]	train-mlogloss:0.90707	validation-mlogloss:0.87899
[103]	train-mlogloss:0.90450	validation-mlogloss:0.87626
[104]	train-mlogloss:0.90180	validation-mlogloss:0.87333
[105]	train-mlogloss:0.89915	validation-mlogloss:0.87044
[106]	train-mlogloss:0.89664	validation-mlogloss:0.86771
[107]	train-mlogloss:0.89413	validation-mlogloss:0.86513
[108]	train-mlogloss:0.89156	validation-mlogloss:0.86234
[109]	train-mlogloss:0.88909	validation-mlogloss:0.85954
[110]	train-mlogloss:0.88671	validation-mlogloss:0.85701
[111]	train-mlogloss:0.88442	validation-mlogloss:0.85448
[112]	train-mlogloss:0.88207	validation-mlogloss:0.85197
[113]	train-mlogloss:0.87974	validation-mlogloss:0.84948
[114]	train-mlogloss:0.87739	validation-mlogloss:0.84700
[115]	train-mlogloss:0.87500	validation-mlogloss:0.84439
[116]	train-mlogloss:0.87272	validation-mlogloss:0.84191
[117]	train-mlogloss:0.87046	validation-mlogloss:0.83946
[118]	train-mlogloss:0.86830	validation-mlogloss:0.83724
[119]	train-mlogloss:0.86604	validation-mlogloss:0.83486
[120]	train-mlogloss:0.86376	validation-mlogloss:0.83236
[121]	train-mlogloss:0.86153	validation-mlogloss:0.82996
[122]	train-mlogloss:0.85944	validation-mlogloss:0.82782
[123]	train-mlogloss:0.85717	validation-mlogloss:0.82537
[124]	train-mlogloss:0.85506	validation-mlogloss:0.82313
[125]	train-mlogloss:0.85301	validation-mlogloss:0.82093
[126]	train-mlogloss:0.85094	validation-mlogloss:0.81870
[127]	train-mlogloss:0.84878	validation-mlogloss:0.81627
[128]	train-mlogloss:0.84675	validation-mlogloss:0.81408
[129]	train-mlogloss:0.84468	validation-mlogloss:0.81177
[130]	train-mlogloss:0.84263	validation-mlogloss:0.80953
[131]	train-mlogloss:0.84055	validation-mlogloss:0.80722
[132]	train-mlogloss:0.83857	validation-mlogloss:0.80510
[133]	train-mlogloss:0.83652	validation-mlogloss:0.80296
[134]	train-mlogloss:0.83450	validation-mlogloss:0.80081
[135]	train-mlogloss:0.83251	validation-mlogloss:0.79864
[136]	train-mlogloss:0.83054	validation-mlogloss:0.79653
[137]	train-mlogloss:0.82868	validation-mlogloss:0.79451
[138]	train-mlogloss:0.82670	validation-mlogloss:0.79239
[139]	train-mlogloss:0.82478	validation-mlogloss:0.79026
[140]	train-mlogloss:0.82297	validation-mlogloss:0.78825
[141]	train-mlogloss:0.82097	validation-mlogloss:0.78616
[142]	train-mlogloss:0.81927	validation-mlogloss:0.78435
[143]	train-mlogloss:0.81749	validation-mlogloss:0.78238
[144]	train-mlogloss:0.81563	validation-mlogloss:0.78034
[145]	train-mlogloss:0.81392	validation-mlogloss:0.77842
[146]	train-mlogloss:0.81211	validation-mlogloss:0.77639
[147]	train-mlogloss:0.81027	validation-mlogloss:0.77429
[148]	train-mlogloss:0.80846	validation-mlogloss:0.77238
[149]	train-mlogloss:0.80674	validation-mlogloss:0.77055
[150]	train-mlogloss:0.80496	validation-mlogloss:0.76865
[151]	train-mlogloss:0.80316	validation-mlogloss:0.76665
[152]	train-mlogloss:0.80145	validation-mlogloss:0.76480
[153]	train-mlogloss:0.79982	validation-mlogloss:0.76311
[154]	train-mlogloss:0.79812	validation-mlogloss:0.76123
[155]	train-mlogloss:0.79645	validation-mlogloss:0.75940
[156]	train-mlogloss:0.79491	validation-mlogloss:0.75769
[157]	train-mlogloss:0.79325	validation-mlogloss:0.75584
[158]	train-mlogloss:0.79160	validation-mlogloss:0.75403
[159]	train-mlogloss:0.79004	validation-mlogloss:0.75237
[160]	train-mlogloss:0.78851	validation-mlogloss:0.75060
[161]	train-mlogloss:0.78690	validation-mlogloss:0.74893
[162]	train-mlogloss:0.78540	validation-mlogloss:0.74720
[163]	train-mlogloss:0.78385	validation-mlogloss:0.74539
[164]	train-mlogloss:0.78232	validation-mlogloss:0.74370
[165]	train-mlogloss:0.78073	validation-mlogloss:0.74200
[166]	train-mlogloss:0.77926	validation-mlogloss:0.74040
[167]	train-mlogloss:0.77790	validation-mlogloss:0.73884
[168]	train-mlogloss:0.77639	validation-mlogloss:0.73715
[169]	train-mlogloss:0.77491	validation-mlogloss:0.73554
[170]	train-mlogloss:0.77353	validation-mlogloss:0.73392
[171]	train-mlogloss:0.77210	validation-mlogloss:0.73234
[172]	train-mlogloss:0.77064	validation-mlogloss:0.73072
[173]	train-mlogloss:0.76931	validation-mlogloss:0.72922
[174]	train-mlogloss:0.76798	validation-mlogloss:0.72779
[175]	train-mlogloss:0.76665	validation-mlogloss:0.72636
[176]	train-mlogloss:0.76532	validation-mlogloss:0.72490
[177]	train-mlogloss:0.76401	validation-mlogloss:0.72336
[178]	train-mlogloss:0.76262	validation-mlogloss:0.72181
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[354]	train-mlogloss:0.63202	validation-mlogloss:0.57391
[355]	train-mlogloss:0.63159	validation-mlogloss:0.57347
[356]	train-mlogloss:0.63119	validation-mlogloss:0.57305
[357]	train-mlogloss:0.63080	validation-mlogloss:0.57262
[358]	train-mlogloss:0.63039	validation-mlogloss:0.57221
[359]	train-mlogloss:0.63011	validation-mlogloss:0.57188
[360]	train-mlogloss:0.62972	validation-mlogloss:0.57145
[361]	train-mlogloss:0.62942	validation-mlogloss:0.57103
[362]	train-mlogloss:0.62904	validation-mlogloss:0.57053
[363]	train-mlogloss:0.62872	validation-mlogloss:0.57014
[364]	train-mlogloss:0.62834	validation-mlogloss:0.56972
[365]	train-mlogloss:0.62802	validation-mlogloss:0.56932
[366]	train-mlogloss:0.62772	validation-mlogloss:0.56897
[367]	train-mlogloss:0.62746	validation-mlogloss:0.56865
[368]	train-mlogloss:0.62706	validation-mlogloss:0.56819
[369]	train-mlogloss:0.62672	validation-mlogloss:0.56780
[370]	train-mlogloss:0.62637	validation-mlogloss:0.56742
[371]	train-mlogloss:0.62602	validation-mlogloss:0.56701
[372]	train-mlogloss:0.62574	validation-mlogloss:0.56669
[373]	train-mlogloss:0.62541	validation-mlogloss:0.56632
[374]	train-mlogloss:0.62506	validation-mlogloss:0.56594
[375]	train-mlogloss:0.62473	validation-mlogloss:0.56553
[376]	train-mlogloss:0.62435	validation-mlogloss:0.56507
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[379]	train-mlogloss:0.62334	validation-mlogloss:0.56389
[380]	train-mlogloss:0.62307	validation-mlogloss:0.56359
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 1 ... 0 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.48 [%]
Global accuracy score (test) = 78.13 [%]
Global F1 score (train) = 75.66 [%]
Global F1 score (test) = 78.81 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.62      0.62       350
MODERATE-INTENSITY       0.61      0.67      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.96      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.79      1372
      weighted avg       0.79      0.78      0.79      1372


Accuracy capturado en la ejecución 16: 78.13 [%]
F1-score capturado en la ejecución 16: 78.81 [%]

=== EJECUCIÓN 17 ===

--- TRAIN (ejecución 17) ---

--- TEST (ejecución 17) ---
2025-11-06 16:28:36.296597: 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`.
2025-11-06 16:28:36.307785: 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 00:00:1762442916.320704 1481973 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442916.324655 1481973 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442916.334521 1481973 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442916.334539 1481973 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442916.334541 1481973 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442916.334542 1481973 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:36.337721: 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:1.37821	validation-mlogloss:1.37790
[1]	train-mlogloss:1.37033	validation-mlogloss:1.36971
[2]	train-mlogloss:1.36248	validation-mlogloss:1.36146
[3]	train-mlogloss:1.35481	validation-mlogloss:1.35343
[4]	train-mlogloss:1.34714	validation-mlogloss:1.34549
[5]	train-mlogloss:1.33957	validation-mlogloss:1.33761
[6]	train-mlogloss:1.33219	validation-mlogloss:1.33000
[7]	train-mlogloss:1.32488	validation-mlogloss:1.32238
[8]	train-mlogloss:1.31771	validation-mlogloss:1.31487
[9]	train-mlogloss:1.31057	validation-mlogloss:1.30741
[10]	train-mlogloss:1.30354	validation-mlogloss:1.30014
[11]	train-mlogloss:1.29661	validation-mlogloss:1.29288
[12]	train-mlogloss:1.28972	validation-mlogloss:1.28564
[13]	train-mlogloss:1.28294	validation-mlogloss:1.27862
[14]	train-mlogloss:1.27629	validation-mlogloss:1.27168
[15]	train-mlogloss:1.26970	validation-mlogloss:1.26488
[16]	train-mlogloss:1.26318	validation-mlogloss:1.25809
[17]	train-mlogloss:1.25672	validation-mlogloss:1.25138
[18]	train-mlogloss:1.25032	validation-mlogloss:1.24476
[19]	train-mlogloss:1.24412	validation-mlogloss:1.23834
[20]	train-mlogloss:1.23794	validation-mlogloss:1.23187
[21]	train-mlogloss:1.23178	validation-mlogloss:1.22554
[22]	train-mlogloss:1.22570	validation-mlogloss:1.21919
[23]	train-mlogloss:1.21976	validation-mlogloss:1.21289
[24]	train-mlogloss:1.21397	validation-mlogloss:1.20686
[25]	train-mlogloss:1.20819	validation-mlogloss:1.20082
[26]	train-mlogloss:1.20245	validation-mlogloss:1.19471
[27]	train-mlogloss:1.19678	validation-mlogloss:1.18877
[28]	train-mlogloss:1.19119	validation-mlogloss:1.18301
[29]	train-mlogloss:1.18565	validation-mlogloss:1.17710
[30]	train-mlogloss:1.18014	validation-mlogloss:1.17130
[31]	train-mlogloss:1.17485	validation-mlogloss:1.16583
[32]	train-mlogloss:1.16955	validation-mlogloss:1.16032
[33]	train-mlogloss:1.16408	validation-mlogloss:1.15469
[34]	train-mlogloss:1.15883	validation-mlogloss:1.14907
[35]	train-mlogloss:1.15351	validation-mlogloss:1.14354
[36]	train-mlogloss:1.14838	validation-mlogloss:1.13805
[37]	train-mlogloss:1.14333	validation-mlogloss:1.13271
[38]	train-mlogloss:1.13846	validation-mlogloss:1.12762
[39]	train-mlogloss:1.13335	validation-mlogloss:1.12230
[40]	train-mlogloss:1.12833	validation-mlogloss:1.11717
[41]	train-mlogloss:1.12334	validation-mlogloss:1.11210
[42]	train-mlogloss:1.11848	validation-mlogloss:1.10707
[43]	train-mlogloss:1.11359	validation-mlogloss:1.10209
[44]	train-mlogloss:1.10893	validation-mlogloss:1.09719
[45]	train-mlogloss:1.10433	validation-mlogloss:1.09235
[46]	train-mlogloss:1.09966	validation-mlogloss:1.08756
[47]	train-mlogloss:1.09490	validation-mlogloss:1.08256
[48]	train-mlogloss:1.09040	validation-mlogloss:1.07796
[49]	train-mlogloss:1.08585	validation-mlogloss:1.07336
[50]	train-mlogloss:1.08152	validation-mlogloss:1.06868
[51]	train-mlogloss:1.07706	validation-mlogloss:1.06419
[52]	train-mlogloss:1.07273	validation-mlogloss:1.05968
[53]	train-mlogloss:1.06837	validation-mlogloss:1.05517
[54]	train-mlogloss:1.06408	validation-mlogloss:1.05075
[55]	train-mlogloss:1.05986	validation-mlogloss:1.04644
[56]	train-mlogloss:1.05572	validation-mlogloss:1.04213
[57]	train-mlogloss:1.05162	validation-mlogloss:1.03789
[58]	train-mlogloss:1.04750	validation-mlogloss:1.03356
[59]	train-mlogloss:1.04338	validation-mlogloss:1.02937
[60]	train-mlogloss:1.03939	validation-mlogloss:1.02530
[61]	train-mlogloss:1.03543	validation-mlogloss:1.02114
[62]	train-mlogloss:1.03148	validation-mlogloss:1.01706
[63]	train-mlogloss:1.02770	validation-mlogloss:1.01307
[64]	train-mlogloss:1.02400	validation-mlogloss:1.00916
[65]	train-mlogloss:1.02012	validation-mlogloss:1.00527
[66]	train-mlogloss:1.01632	validation-mlogloss:1.00131
[67]	train-mlogloss:1.01261	validation-mlogloss:0.99742
[68]	train-mlogloss:1.00891	validation-mlogloss:0.99364
[69]	train-mlogloss:1.00526	validation-mlogloss:0.98984
[70]	train-mlogloss:1.00163	validation-mlogloss:0.98621
[71]	train-mlogloss:0.99802	validation-mlogloss:0.98248
[72]	train-mlogloss:0.99450	validation-mlogloss:0.97887
[73]	train-mlogloss:0.99105	validation-mlogloss:0.97538
[74]	train-mlogloss:0.98762	validation-mlogloss:0.97183
[75]	train-mlogloss:0.98415	validation-mlogloss:0.96822
[76]	train-mlogloss:0.98091	validation-mlogloss:0.96477
[77]	train-mlogloss:0.97744	validation-mlogloss:0.96114
[78]	train-mlogloss:0.97408	validation-mlogloss:0.95768
[79]	train-mlogloss:0.97086	validation-mlogloss:0.95431
[80]	train-mlogloss:0.96758	validation-mlogloss:0.95089
[81]	train-mlogloss:0.96434	validation-mlogloss:0.94751
[82]	train-mlogloss:0.96119	validation-mlogloss:0.94418
[83]	train-mlogloss:0.95802	validation-mlogloss:0.94095
[84]	train-mlogloss:0.95492	validation-mlogloss:0.93772
[85]	train-mlogloss:0.95187	validation-mlogloss:0.93454
[86]	train-mlogloss:0.94882	validation-mlogloss:0.93142
[87]	train-mlogloss:0.94576	validation-mlogloss:0.92820
[88]	train-mlogloss:0.94265	validation-mlogloss:0.92493
[89]	train-mlogloss:0.93973	validation-mlogloss:0.92185
[90]	train-mlogloss:0.93666	validation-mlogloss:0.91863
[91]	train-mlogloss:0.93375	validation-mlogloss:0.91562
[92]	train-mlogloss:0.93079	validation-mlogloss:0.91245
[93]	train-mlogloss:0.92792	validation-mlogloss:0.90942
[94]	train-mlogloss:0.92511	validation-mlogloss:0.90648
[95]	train-mlogloss:0.92230	validation-mlogloss:0.90364
[96]	train-mlogloss:0.91961	validation-mlogloss:0.90081
[97]	train-mlogloss:0.91687	validation-mlogloss:0.89806
[98]	train-mlogloss:0.91412	validation-mlogloss:0.89528
[99]	train-mlogloss:0.91144	validation-mlogloss:0.89253
[100]	train-mlogloss:0.90880	validation-mlogloss:0.88975
[101]	train-mlogloss:0.90626	validation-mlogloss:0.88709
[102]	train-mlogloss:0.90369	validation-mlogloss:0.88442
[103]	train-mlogloss:0.90099	validation-mlogloss:0.88152
[104]	train-mlogloss:0.89834	validation-mlogloss:0.87875
[105]	train-mlogloss:0.89578	validation-mlogloss:0.87607
[106]	train-mlogloss:0.89314	validation-mlogloss:0.87328
[107]	train-mlogloss:0.89055	validation-mlogloss:0.87048
[108]	train-mlogloss:0.88810	validation-mlogloss:0.86783
[109]	train-mlogloss:0.88564	validation-mlogloss:0.86525
[110]	train-mlogloss:0.88318	validation-mlogloss:0.86267
[111]	train-mlogloss:0.88070	validation-mlogloss:0.85996
[112]	train-mlogloss:0.87823	validation-mlogloss:0.85731
[113]	train-mlogloss:0.87589	validation-mlogloss:0.85486
[114]	train-mlogloss:0.87344	validation-mlogloss:0.85222
[115]	train-mlogloss:0.87122	validation-mlogloss:0.84993
[116]	train-mlogloss:0.86887	validation-mlogloss:0.84746
[117]	train-mlogloss:0.86657	validation-mlogloss:0.84503
[118]	train-mlogloss:0.86442	validation-mlogloss:0.84274
[119]	train-mlogloss:0.86222	validation-mlogloss:0.84048
[120]	train-mlogloss:0.85998	validation-mlogloss:0.83806
[121]	train-mlogloss:0.85771	validation-mlogloss:0.83570
[122]	train-mlogloss:0.85563	validation-mlogloss:0.83350
[123]	train-mlogloss:0.85341	validation-mlogloss:0.83113
[124]	train-mlogloss:0.85133	validation-mlogloss:0.82890
[125]	train-mlogloss:0.84926	validation-mlogloss:0.82674
[126]	train-mlogloss:0.84718	validation-mlogloss:0.82458
[127]	train-mlogloss:0.84504	validation-mlogloss:0.82233
[128]	train-mlogloss:0.84294	validation-mlogloss:0.81997
[129]	train-mlogloss:0.84084	validation-mlogloss:0.81765
[130]	train-mlogloss:0.83883	validation-mlogloss:0.81558
[131]	train-mlogloss:0.83683	validation-mlogloss:0.81343
[132]	train-mlogloss:0.83475	validation-mlogloss:0.81116
[133]	train-mlogloss:0.83264	validation-mlogloss:0.80893
[134]	train-mlogloss:0.83078	validation-mlogloss:0.80699
[135]	train-mlogloss:0.82889	validation-mlogloss:0.80499
[136]	train-mlogloss:0.82699	validation-mlogloss:0.80305
[137]	train-mlogloss:0.82503	validation-mlogloss:0.80090
[138]	train-mlogloss:0.82312	validation-mlogloss:0.79885
[139]	train-mlogloss:0.82133	validation-mlogloss:0.79693
[140]	train-mlogloss:0.81954	validation-mlogloss:0.79508
[141]	train-mlogloss:0.81756	validation-mlogloss:0.79292
[142]	train-mlogloss:0.81582	validation-mlogloss:0.79115
[143]	train-mlogloss:0.81393	validation-mlogloss:0.78913
[144]	train-mlogloss:0.81208	validation-mlogloss:0.78717
[145]	train-mlogloss:0.81031	validation-mlogloss:0.78526
[146]	train-mlogloss:0.80857	validation-mlogloss:0.78347
[147]	train-mlogloss:0.80673	validation-mlogloss:0.78153
[148]	train-mlogloss:0.80493	validation-mlogloss:0.77960
[149]	train-mlogloss:0.80329	validation-mlogloss:0.77786
[150]	train-mlogloss:0.80150	validation-mlogloss:0.77588
[151]	train-mlogloss:0.79981	validation-mlogloss:0.77406
[152]	train-mlogloss:0.79813	validation-mlogloss:0.77224
[153]	train-mlogloss:0.79638	validation-mlogloss:0.77042
[154]	train-mlogloss:0.79471	validation-mlogloss:0.76856
[155]	train-mlogloss:0.79317	validation-mlogloss:0.76689
[156]	train-mlogloss:0.79159	validation-mlogloss:0.76523
[157]	train-mlogloss:0.79007	validation-mlogloss:0.76364
[158]	train-mlogloss:0.78847	validation-mlogloss:0.76187
[159]	train-mlogloss:0.78693	validation-mlogloss:0.76026
[160]	train-mlogloss:0.78538	validation-mlogloss:0.75869
[161]	train-mlogloss:0.78387	validation-mlogloss:0.75696
[162]	train-mlogloss:0.78230	validation-mlogloss:0.75516
[163]	train-mlogloss:0.78078	validation-mlogloss:0.75354
[164]	train-mlogloss:0.77927	validation-mlogloss:0.75196
[165]	train-mlogloss:0.77777	validation-mlogloss:0.75031
[166]	train-mlogloss:0.77631	validation-mlogloss:0.74872
[167]	train-mlogloss:0.77486	validation-mlogloss:0.74719
[168]	train-mlogloss:0.77342	validation-mlogloss:0.74570
[169]	train-mlogloss:0.77195	validation-mlogloss:0.74416
[170]	train-mlogloss:0.77055	validation-mlogloss:0.74264
[171]	train-mlogloss:0.76906	validation-mlogloss:0.74095
[172]	train-mlogloss:0.76768	validation-mlogloss:0.73947
[173]	train-mlogloss:0.76626	validation-mlogloss:0.73796
[174]	train-mlogloss:0.76481	validation-mlogloss:0.73629
[175]	train-mlogloss:0.76332	validation-mlogloss:0.73470
[176]	train-mlogloss:0.76201	validation-mlogloss:0.73331
[177]	train-mlogloss:0.76059	validation-mlogloss:0.73174
[178]	train-mlogloss:0.75923	validation-mlogloss:0.73024
[179]	train-mlogloss:0.75779	validation-mlogloss:0.72868
[180]	train-mlogloss:0.75641	validation-mlogloss:0.72713
[181]	train-mlogloss:0.75511	validation-mlogloss:0.72576
[182]	train-mlogloss:0.75389	validation-mlogloss:0.72447
[183]	train-mlogloss:0.75254	validation-mlogloss:0.72295
[184]	train-mlogloss:0.75113	validation-mlogloss:0.72142
[185]	train-mlogloss:0.74995	validation-mlogloss:0.72018
[186]	train-mlogloss:0.74870	validation-mlogloss:0.71885
[187]	train-mlogloss:0.74733	validation-mlogloss:0.71730
[188]	train-mlogloss:0.74606	validation-mlogloss:0.71588
[189]	train-mlogloss:0.74493	validation-mlogloss:0.71476
[190]	train-mlogloss:0.74369	validation-mlogloss:0.71334
[191]	train-mlogloss:0.74264	validation-mlogloss:0.71222
[192]	train-mlogloss:0.74134	validation-mlogloss:0.71081
[193]	train-mlogloss:0.74021	validation-mlogloss:0.70955
[194]	train-mlogloss:0.73908	validation-mlogloss:0.70834
[195]	train-mlogloss:0.73795	validation-mlogloss:0.70706
[196]	train-mlogloss:0.73676	validation-mlogloss:0.70574
[197]	train-mlogloss:0.73558	validation-mlogloss:0.70443
[198]	train-mlogloss:0.73445	validation-mlogloss:0.70317
[199]	train-mlogloss:0.73329	validation-mlogloss:0.70194
[200]	train-mlogloss:0.73212	validation-mlogloss:0.70061
[201]	train-mlogloss:0.73098	validation-mlogloss:0.69930
[202]	train-mlogloss:0.72994	validation-mlogloss:0.69813
[203]	train-mlogloss:0.72890	validation-mlogloss:0.69698
[204]	train-mlogloss:0.72779	validation-mlogloss:0.69579
[205]	train-mlogloss:0.72677	validation-mlogloss:0.69463
[206]	train-mlogloss:0.72575	validation-mlogloss:0.69347
[207]	train-mlogloss:0.72472	validation-mlogloss:0.69231
[208]	train-mlogloss:0.72367	validation-mlogloss:0.69117
[209]	train-mlogloss:0.72268	validation-mlogloss:0.69008
[210]	train-mlogloss:0.72163	validation-mlogloss:0.68892
[211]	train-mlogloss:0.72059	validation-mlogloss:0.68781
[212]	train-mlogloss:0.71958	validation-mlogloss:0.68673
[213]	train-mlogloss:0.71855	validation-mlogloss:0.68562
[214]	train-mlogloss:0.71759	validation-mlogloss:0.68451
[215]	train-mlogloss:0.71658	validation-mlogloss:0.68343
[216]	train-mlogloss:0.71556	validation-mlogloss:0.68230
[217]	train-mlogloss:0.71463	validation-mlogloss:0.68124
[218]	train-mlogloss:0.71368	validation-mlogloss:0.68016
[219]	train-mlogloss:0.71272	validation-mlogloss:0.67913
[220]	train-mlogloss:0.71179	validation-mlogloss:0.67803
[221]	train-mlogloss:0.71078	validation-mlogloss:0.67690
[222]	train-mlogloss:0.70985	validation-mlogloss:0.67581
[223]	train-mlogloss:0.70898	validation-mlogloss:0.67481
[224]	train-mlogloss:0.70809	validation-mlogloss:0.67385
[225]	train-mlogloss:0.70712	validation-mlogloss:0.67270
[226]	train-mlogloss:0.70621	validation-mlogloss:0.67163
[227]	train-mlogloss:0.70534	validation-mlogloss:0.67064
[228]	train-mlogloss:0.70450	validation-mlogloss:0.66969
[229]	train-mlogloss:0.70360	validation-mlogloss:0.66869
[230]	train-mlogloss:0.70270	validation-mlogloss:0.66772
[231]	train-mlogloss:0.70175	validation-mlogloss:0.66670
[232]	train-mlogloss:0.70093	validation-mlogloss:0.66579
[233]	train-mlogloss:0.69998	validation-mlogloss:0.66478
[234]	train-mlogloss:0.69922	validation-mlogloss:0.66391
[235]	train-mlogloss:0.69834	validation-mlogloss:0.66295
[236]	train-mlogloss:0.69752	validation-mlogloss:0.66205
[237]	train-mlogloss:0.69669	validation-mlogloss:0.66118
[238]	train-mlogloss:0.69594	validation-mlogloss:0.66038
[239]	train-mlogloss:0.69509	validation-mlogloss:0.65944
[240]	train-mlogloss:0.69433	validation-mlogloss:0.65866
[241]	train-mlogloss:0.69354	validation-mlogloss:0.65773
[242]	train-mlogloss:0.69264	validation-mlogloss:0.65673
[243]	train-mlogloss:0.69178	validation-mlogloss:0.65577
[244]	train-mlogloss:0.69095	validation-mlogloss:0.65487
[245]	train-mlogloss:0.69019	validation-mlogloss:0.65396
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[249]	train-mlogloss:0.68708	validation-mlogloss:0.65048
[250]	train-mlogloss:0.68626	validation-mlogloss:0.64957
[251]	train-mlogloss:0.68545	validation-mlogloss:0.64866
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[258]	train-mlogloss:0.68042	validation-mlogloss:0.64296
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[260]	train-mlogloss:0.67895	validation-mlogloss:0.64132
[261]	train-mlogloss:0.67821	validation-mlogloss:0.64052
[262]	train-mlogloss:0.67754	validation-mlogloss:0.63978
[263]	train-mlogloss:0.67687	validation-mlogloss:0.63894
[264]	train-mlogloss:0.67613	validation-mlogloss:0.63813
[265]	train-mlogloss:0.67551	validation-mlogloss:0.63752
[266]	train-mlogloss:0.67477	validation-mlogloss:0.63670
[267]	train-mlogloss:0.67404	validation-mlogloss:0.63590
[268]	train-mlogloss:0.67337	validation-mlogloss:0.63518
[269]	train-mlogloss:0.67273	validation-mlogloss:0.63443
[270]	train-mlogloss:0.67212	validation-mlogloss:0.63376
[271]	train-mlogloss:0.67141	validation-mlogloss:0.63294
[272]	train-mlogloss:0.67080	validation-mlogloss:0.63225
[273]	train-mlogloss:0.67014	validation-mlogloss:0.63151
[274]	train-mlogloss:0.66941	validation-mlogloss:0.63076
[275]	train-mlogloss:0.66876	validation-mlogloss:0.63003
[276]	train-mlogloss:0.66813	validation-mlogloss:0.62935
[277]	train-mlogloss:0.66747	validation-mlogloss:0.62857
[278]	train-mlogloss:0.66687	validation-mlogloss:0.62786
[279]	train-mlogloss:0.66624	validation-mlogloss:0.62713
[280]	train-mlogloss:0.66565	validation-mlogloss:0.62643
[281]	train-mlogloss:0.66505	validation-mlogloss:0.62577
[282]	train-mlogloss:0.66442	validation-mlogloss:0.62506
[283]	train-mlogloss:0.66381	validation-mlogloss:0.62433
[284]	train-mlogloss:0.66321	validation-mlogloss:0.62363
[285]	train-mlogloss:0.66267	validation-mlogloss:0.62300
[286]	train-mlogloss:0.66202	validation-mlogloss:0.62230
[287]	train-mlogloss:0.66145	validation-mlogloss:0.62164
[288]	train-mlogloss:0.66077	validation-mlogloss:0.62084
[289]	train-mlogloss:0.66014	validation-mlogloss:0.62009
[290]	train-mlogloss:0.65967	validation-mlogloss:0.61954
[291]	train-mlogloss:0.65917	validation-mlogloss:0.61891
[292]	train-mlogloss:0.65867	validation-mlogloss:0.61828
[293]	train-mlogloss:0.65819	validation-mlogloss:0.61777
[294]	train-mlogloss:0.65760	validation-mlogloss:0.61708
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[297]	train-mlogloss:0.65600	validation-mlogloss:0.61523
[298]	train-mlogloss:0.65539	validation-mlogloss:0.61452
[299]	train-mlogloss:0.65484	validation-mlogloss:0.61390
[300]	train-mlogloss:0.65428	validation-mlogloss:0.61333
[301]	train-mlogloss:0.65370	validation-mlogloss:0.61266
[302]	train-mlogloss:0.65309	validation-mlogloss:0.61204
[303]	train-mlogloss:0.65254	validation-mlogloss:0.61140
[304]	train-mlogloss:0.65199	validation-mlogloss:0.61071
[305]	train-mlogloss:0.65149	validation-mlogloss:0.61013
[306]	train-mlogloss:0.65097	validation-mlogloss:0.60954
[307]	train-mlogloss:0.65040	validation-mlogloss:0.60891
[308]	train-mlogloss:0.64994	validation-mlogloss:0.60839
[309]	train-mlogloss:0.64942	validation-mlogloss:0.60786
[310]	train-mlogloss:0.64888	validation-mlogloss:0.60720
[311]	train-mlogloss:0.64844	validation-mlogloss:0.60668
[312]	train-mlogloss:0.64793	validation-mlogloss:0.60606
[313]	train-mlogloss:0.64740	validation-mlogloss:0.60545
[314]	train-mlogloss:0.64694	validation-mlogloss:0.60494
[315]	train-mlogloss:0.64644	validation-mlogloss:0.60438
[316]	train-mlogloss:0.64594	validation-mlogloss:0.60386
[317]	train-mlogloss:0.64546	validation-mlogloss:0.60335
[318]	train-mlogloss:0.64503	validation-mlogloss:0.60284
[319]	train-mlogloss:0.64448	validation-mlogloss:0.60223
[320]	train-mlogloss:0.64404	validation-mlogloss:0.60176
[321]	train-mlogloss:0.64352	validation-mlogloss:0.60125
[322]	train-mlogloss:0.64312	validation-mlogloss:0.60074
[323]	train-mlogloss:0.64259	validation-mlogloss:0.60013
[324]	train-mlogloss:0.64220	validation-mlogloss:0.59973
[325]	train-mlogloss:0.64174	validation-mlogloss:0.59919
[326]	train-mlogloss:0.64127	validation-mlogloss:0.59865
[327]	train-mlogloss:0.64089	validation-mlogloss:0.59823
[328]	train-mlogloss:0.64054	validation-mlogloss:0.59784
[329]	train-mlogloss:0.64008	validation-mlogloss:0.59728
[330]	train-mlogloss:0.63964	validation-mlogloss:0.59677
[331]	train-mlogloss:0.63915	validation-mlogloss:0.59617
[332]	train-mlogloss:0.63873	validation-mlogloss:0.59571
[333]	train-mlogloss:0.63836	validation-mlogloss:0.59534
[334]	train-mlogloss:0.63793	validation-mlogloss:0.59483
[335]	train-mlogloss:0.63747	validation-mlogloss:0.59427
[336]	train-mlogloss:0.63698	validation-mlogloss:0.59378
[337]	train-mlogloss:0.63659	validation-mlogloss:0.59329
[338]	train-mlogloss:0.63618	validation-mlogloss:0.59279
[339]	train-mlogloss:0.63581	validation-mlogloss:0.59238
[340]	train-mlogloss:0.63543	validation-mlogloss:0.59198
[341]	train-mlogloss:0.63504	validation-mlogloss:0.59156
[342]	train-mlogloss:0.63460	validation-mlogloss:0.59107
[343]	train-mlogloss:0.63422	validation-mlogloss:0.59065
[344]	train-mlogloss:0.63375	validation-mlogloss:0.59012
[345]	train-mlogloss:0.63341	validation-mlogloss:0.58970
[346]	train-mlogloss:0.63301	validation-mlogloss:0.58924
[347]	train-mlogloss:0.63268	validation-mlogloss:0.58886
[348]	train-mlogloss:0.63232	validation-mlogloss:0.58847
[349]	train-mlogloss:0.63192	validation-mlogloss:0.58801
[350]	train-mlogloss:0.63154	validation-mlogloss:0.58761
[351]	train-mlogloss:0.63118	validation-mlogloss:0.58719
[352]	train-mlogloss:0.63078	validation-mlogloss:0.58677
[353]	train-mlogloss:0.63041	validation-mlogloss:0.58639
[354]	train-mlogloss:0.62998	validation-mlogloss:0.58594
[355]	train-mlogloss:0.62965	validation-mlogloss:0.58558
[356]	train-mlogloss:0.62934	validation-mlogloss:0.58517
[357]	train-mlogloss:0.62902	validation-mlogloss:0.58485
[358]	train-mlogloss:0.62872	validation-mlogloss:0.58453
[359]	train-mlogloss:0.62839	validation-mlogloss:0.58417
[360]	train-mlogloss:0.62803	validation-mlogloss:0.58376
[361]	train-mlogloss:0.62766	validation-mlogloss:0.58333
[362]	train-mlogloss:0.62728	validation-mlogloss:0.58288
[363]	train-mlogloss:0.62690	validation-mlogloss:0.58244
[364]	train-mlogloss:0.62653	validation-mlogloss:0.58198
[365]	train-mlogloss:0.62623	validation-mlogloss:0.58165
[366]	train-mlogloss:0.62585	validation-mlogloss:0.58127
[367]	train-mlogloss:0.62547	validation-mlogloss:0.58081
[368]	train-mlogloss:0.62506	validation-mlogloss:0.58039
[369]	train-mlogloss:0.62469	validation-mlogloss:0.57994
[370]	train-mlogloss:0.62434	validation-mlogloss:0.57953
[371]	train-mlogloss:0.62407	validation-mlogloss:0.57924
[372]	train-mlogloss:0.62366	validation-mlogloss:0.57879
[373]	train-mlogloss:0.62333	validation-mlogloss:0.57845
[374]	train-mlogloss:0.62312	validation-mlogloss:0.57821
[375]	train-mlogloss:0.62282	validation-mlogloss:0.57784
[376]	train-mlogloss:0.62254	validation-mlogloss:0.57753
[377]	train-mlogloss:0.62224	validation-mlogloss:0.57722
[378]	train-mlogloss:0.62202	validation-mlogloss:0.57699
[379]	train-mlogloss:0.62174	validation-mlogloss:0.57669
[380]	train-mlogloss:0.62152	validation-mlogloss:0.57644
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 2 ... 0 0 1]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.22 [%]
Global accuracy score (test) = 78.79 [%]
Global F1 score (train) = 75.29 [%]
Global F1 score (test) = 79.43 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.65      0.59      0.62       350
MODERATE-INTENSITY       0.60      0.72      0.65       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.79      1372
         macro avg       0.80      0.79      0.79      1372
      weighted avg       0.80      0.79      0.79      1372


Accuracy capturado en la ejecución 17: 78.79 [%]
F1-score capturado en la ejecución 17: 79.43 [%]

=== EJECUCIÓN 18 ===

--- TRAIN (ejecución 18) ---

--- TEST (ejecución 18) ---
2025-11-06 16:28:47.488114: 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`.
2025-11-06 16:28:47.499290: 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 00:00:1762442927.512220 1482230 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442927.516248 1482230 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442927.526032 1482230 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442927.526051 1482230 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442927.526053 1482230 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442927.526054 1482230 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:47.529097: 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:1.37820	validation-mlogloss:1.37786
[1]	train-mlogloss:1.37011	validation-mlogloss:1.36939
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[11]	train-mlogloss:1.29624	validation-mlogloss:1.29230
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[16]	train-mlogloss:1.26292	validation-mlogloss:1.25756
[17]	train-mlogloss:1.25644	validation-mlogloss:1.25074
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[19]	train-mlogloss:1.24380	validation-mlogloss:1.23760
[20]	train-mlogloss:1.23765	validation-mlogloss:1.23113
[21]	train-mlogloss:1.23146	validation-mlogloss:1.22462
[22]	train-mlogloss:1.22536	validation-mlogloss:1.21823
[23]	train-mlogloss:1.21940	validation-mlogloss:1.21199
[24]	train-mlogloss:1.21354	validation-mlogloss:1.20573
[25]	train-mlogloss:1.20770	validation-mlogloss:1.19952
[26]	train-mlogloss:1.20212	validation-mlogloss:1.19377
[27]	train-mlogloss:1.19638	validation-mlogloss:1.18787
[28]	train-mlogloss:1.19078	validation-mlogloss:1.18193
[29]	train-mlogloss:1.18525	validation-mlogloss:1.17614
[30]	train-mlogloss:1.17970	validation-mlogloss:1.17027
[31]	train-mlogloss:1.17430	validation-mlogloss:1.16460
[32]	train-mlogloss:1.16892	validation-mlogloss:1.15891
[33]	train-mlogloss:1.16361	validation-mlogloss:1.15341
[34]	train-mlogloss:1.15843	validation-mlogloss:1.14809
[35]	train-mlogloss:1.15329	validation-mlogloss:1.14269
[36]	train-mlogloss:1.14814	validation-mlogloss:1.13735
[37]	train-mlogloss:1.14309	validation-mlogloss:1.13198
[38]	train-mlogloss:1.13809	validation-mlogloss:1.12672
[39]	train-mlogloss:1.13313	validation-mlogloss:1.12149
[40]	train-mlogloss:1.12830	validation-mlogloss:1.11645
[41]	train-mlogloss:1.12348	validation-mlogloss:1.11141
[42]	train-mlogloss:1.11868	validation-mlogloss:1.10638
[43]	train-mlogloss:1.11383	validation-mlogloss:1.10132
[44]	train-mlogloss:1.10902	validation-mlogloss:1.09641
[45]	train-mlogloss:1.10437	validation-mlogloss:1.09154
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[49]	train-mlogloss:1.08602	validation-mlogloss:1.07246
[50]	train-mlogloss:1.08154	validation-mlogloss:1.06778
[51]	train-mlogloss:1.07714	validation-mlogloss:1.06326
[52]	train-mlogloss:1.07288	validation-mlogloss:1.05880
[53]	train-mlogloss:1.06866	validation-mlogloss:1.05430
[54]	train-mlogloss:1.06437	validation-mlogloss:1.04999
[55]	train-mlogloss:1.06017	validation-mlogloss:1.04560
[56]	train-mlogloss:1.05610	validation-mlogloss:1.04127
[57]	train-mlogloss:1.05191	validation-mlogloss:1.03688
[58]	train-mlogloss:1.04786	validation-mlogloss:1.03259
[59]	train-mlogloss:1.04378	validation-mlogloss:1.02840
[60]	train-mlogloss:1.03975	validation-mlogloss:1.02421
[61]	train-mlogloss:1.03578	validation-mlogloss:1.02008
[62]	train-mlogloss:1.03189	validation-mlogloss:1.01598
[63]	train-mlogloss:1.02803	validation-mlogloss:1.01194
[64]	train-mlogloss:1.02419	validation-mlogloss:1.00803
[65]	train-mlogloss:1.02053	validation-mlogloss:1.00416
[66]	train-mlogloss:1.01668	validation-mlogloss:1.00020
[67]	train-mlogloss:1.01297	validation-mlogloss:0.99637
[68]	train-mlogloss:1.00922	validation-mlogloss:0.99253
[69]	train-mlogloss:1.00563	validation-mlogloss:0.98885
[70]	train-mlogloss:1.00203	validation-mlogloss:0.98512
[71]	train-mlogloss:0.99853	validation-mlogloss:0.98148
[72]	train-mlogloss:0.99498	validation-mlogloss:0.97784
[73]	train-mlogloss:0.99148	validation-mlogloss:0.97420
[74]	train-mlogloss:0.98789	validation-mlogloss:0.97033
[75]	train-mlogloss:0.98446	validation-mlogloss:0.96681
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[376]	train-mlogloss:0.62080	validation-mlogloss:0.57366
[377]	train-mlogloss:0.62045	validation-mlogloss:0.57330
[378]	train-mlogloss:0.62010	validation-mlogloss:0.57292
[379]	train-mlogloss:0.61981	validation-mlogloss:0.57261
[380]	train-mlogloss:0.61952	validation-mlogloss:0.57228
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 3 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.94 [%]
Global accuracy score (test) = 77.62 [%]
Global F1 score (train) = 74.98 [%]
Global F1 score (test) = 78.35 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.60      0.60       350
MODERATE-INTENSITY       0.59      0.67      0.63       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 18: 77.62 [%]
F1-score capturado en la ejecución 18: 78.35 [%]

=== EJECUCIÓN 19 ===

--- TRAIN (ejecución 19) ---

--- TEST (ejecución 19) ---
2025-11-06 16:28:58.619066: 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`.
2025-11-06 16:28:58.630594: 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 00:00:1762442938.644156 1482486 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442938.648372 1482486 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442938.658706 1482486 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442938.658731 1482486 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442938.658733 1482486 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442938.658734 1482486 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:28:58.661901: 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:1.37814	validation-mlogloss:1.37783
[1]	train-mlogloss:1.37009	validation-mlogloss:1.36932
[2]	train-mlogloss:1.36237	validation-mlogloss:1.36140
[3]	train-mlogloss:1.35458	validation-mlogloss:1.35329
[4]	train-mlogloss:1.34708	validation-mlogloss:1.34543
[5]	train-mlogloss:1.33945	validation-mlogloss:1.33736
[6]	train-mlogloss:1.33189	validation-mlogloss:1.32944
[7]	train-mlogloss:1.32451	validation-mlogloss:1.32167
[8]	train-mlogloss:1.31739	validation-mlogloss:1.31420
[9]	train-mlogloss:1.31014	validation-mlogloss:1.30663
[10]	train-mlogloss:1.30309	validation-mlogloss:1.29928
[11]	train-mlogloss:1.29600	validation-mlogloss:1.29178
[12]	train-mlogloss:1.28906	validation-mlogloss:1.28454
[13]	train-mlogloss:1.28229	validation-mlogloss:1.27739
[14]	train-mlogloss:1.27559	validation-mlogloss:1.27033
[15]	train-mlogloss:1.26892	validation-mlogloss:1.26349
[16]	train-mlogloss:1.26240	validation-mlogloss:1.25672
[17]	train-mlogloss:1.25589	validation-mlogloss:1.24992
[18]	train-mlogloss:1.24954	validation-mlogloss:1.24333
[19]	train-mlogloss:1.24337	validation-mlogloss:1.23695
[20]	train-mlogloss:1.23728	validation-mlogloss:1.23062
[21]	train-mlogloss:1.23107	validation-mlogloss:1.22409
[22]	train-mlogloss:1.22501	validation-mlogloss:1.21770
[23]	train-mlogloss:1.21897	validation-mlogloss:1.21128
[24]	train-mlogloss:1.21300	validation-mlogloss:1.20512
[25]	train-mlogloss:1.20719	validation-mlogloss:1.19895
[26]	train-mlogloss:1.20145	validation-mlogloss:1.19295
[27]	train-mlogloss:1.19575	validation-mlogloss:1.18684
[28]	train-mlogloss:1.19008	validation-mlogloss:1.18076
[29]	train-mlogloss:1.18451	validation-mlogloss:1.17486
[30]	train-mlogloss:1.17911	validation-mlogloss:1.16922
[31]	train-mlogloss:1.17370	validation-mlogloss:1.16356
[32]	train-mlogloss:1.16829	validation-mlogloss:1.15782
[33]	train-mlogloss:1.16301	validation-mlogloss:1.15230
[34]	train-mlogloss:1.15772	validation-mlogloss:1.14666
[35]	train-mlogloss:1.15256	validation-mlogloss:1.14121
[36]	train-mlogloss:1.14743	validation-mlogloss:1.13592
[37]	train-mlogloss:1.14235	validation-mlogloss:1.13055
[38]	train-mlogloss:1.13734	validation-mlogloss:1.12522
[39]	train-mlogloss:1.13244	validation-mlogloss:1.12002
[40]	train-mlogloss:1.12754	validation-mlogloss:1.11480
[41]	train-mlogloss:1.12272	validation-mlogloss:1.10970
[42]	train-mlogloss:1.11781	validation-mlogloss:1.10452
[43]	train-mlogloss:1.11294	validation-mlogloss:1.09938
[44]	train-mlogloss:1.10829	validation-mlogloss:1.09437
[45]	train-mlogloss:1.10359	validation-mlogloss:1.08953
[46]	train-mlogloss:1.09901	validation-mlogloss:1.08462
[47]	train-mlogloss:1.09438	validation-mlogloss:1.07982
[48]	train-mlogloss:1.08989	validation-mlogloss:1.07507
[49]	train-mlogloss:1.08536	validation-mlogloss:1.07040
[50]	train-mlogloss:1.08088	validation-mlogloss:1.06579
[51]	train-mlogloss:1.07659	validation-mlogloss:1.06131
[52]	train-mlogloss:1.07234	validation-mlogloss:1.05679
[53]	train-mlogloss:1.06803	validation-mlogloss:1.05236
[54]	train-mlogloss:1.06392	validation-mlogloss:1.04815
[55]	train-mlogloss:1.05962	validation-mlogloss:1.04373
[56]	train-mlogloss:1.05555	validation-mlogloss:1.03938
[57]	train-mlogloss:1.05156	validation-mlogloss:1.03513
[58]	train-mlogloss:1.04735	validation-mlogloss:1.03079
[59]	train-mlogloss:1.04325	validation-mlogloss:1.02653
[60]	train-mlogloss:1.03925	validation-mlogloss:1.02233
[61]	train-mlogloss:1.03521	validation-mlogloss:1.01809
[62]	train-mlogloss:1.03127	validation-mlogloss:1.01397
[63]	train-mlogloss:1.02735	validation-mlogloss:1.00978
[64]	train-mlogloss:1.02349	validation-mlogloss:1.00588
[65]	train-mlogloss:1.01966	validation-mlogloss:1.00196
[66]	train-mlogloss:1.01576	validation-mlogloss:0.99786
[67]	train-mlogloss:1.01201	validation-mlogloss:0.99397
[68]	train-mlogloss:1.00841	validation-mlogloss:0.99019
[69]	train-mlogloss:1.00472	validation-mlogloss:0.98629
[70]	train-mlogloss:1.00095	validation-mlogloss:0.98241
[71]	train-mlogloss:0.99736	validation-mlogloss:0.97874
[72]	train-mlogloss:0.99381	validation-mlogloss:0.97510
[73]	train-mlogloss:0.99021	validation-mlogloss:0.97128
[74]	train-mlogloss:0.98679	validation-mlogloss:0.96778
[75]	train-mlogloss:0.98339	validation-mlogloss:0.96422
[76]	train-mlogloss:0.98003	validation-mlogloss:0.96082
[77]	train-mlogloss:0.97672	validation-mlogloss:0.95738
[78]	train-mlogloss:0.97341	validation-mlogloss:0.95378
[79]	train-mlogloss:0.97019	validation-mlogloss:0.95040
[80]	train-mlogloss:0.96688	validation-mlogloss:0.94684
[81]	train-mlogloss:0.96365	validation-mlogloss:0.94358
[82]	train-mlogloss:0.96043	validation-mlogloss:0.94030
[83]	train-mlogloss:0.95731	validation-mlogloss:0.93710
[84]	train-mlogloss:0.95417	validation-mlogloss:0.93376
[85]	train-mlogloss:0.95104	validation-mlogloss:0.93049
[86]	train-mlogloss:0.94795	validation-mlogloss:0.92727
[87]	train-mlogloss:0.94495	validation-mlogloss:0.92410
[88]	train-mlogloss:0.94200	validation-mlogloss:0.92105
[89]	train-mlogloss:0.93906	validation-mlogloss:0.91797
[90]	train-mlogloss:0.93612	validation-mlogloss:0.91490
[91]	train-mlogloss:0.93324	validation-mlogloss:0.91183
[92]	train-mlogloss:0.93038	validation-mlogloss:0.90879
[93]	train-mlogloss:0.92762	validation-mlogloss:0.90599
[94]	train-mlogloss:0.92466	validation-mlogloss:0.90286
[95]	train-mlogloss:0.92185	validation-mlogloss:0.89993
[96]	train-mlogloss:0.91910	validation-mlogloss:0.89704
[97]	train-mlogloss:0.91624	validation-mlogloss:0.89405
[98]	train-mlogloss:0.91344	validation-mlogloss:0.89104
[99]	train-mlogloss:0.91076	validation-mlogloss:0.88832
[100]	train-mlogloss:0.90816	validation-mlogloss:0.88556
[101]	train-mlogloss:0.90559	validation-mlogloss:0.88283
[102]	train-mlogloss:0.90292	validation-mlogloss:0.87996
[103]	train-mlogloss:0.90031	validation-mlogloss:0.87720
[104]	train-mlogloss:0.89777	validation-mlogloss:0.87455
[105]	train-mlogloss:0.89515	validation-mlogloss:0.87169
[106]	train-mlogloss:0.89259	validation-mlogloss:0.86913
[107]	train-mlogloss:0.89002	validation-mlogloss:0.86643
[108]	train-mlogloss:0.88753	validation-mlogloss:0.86379
[109]	train-mlogloss:0.88508	validation-mlogloss:0.86113
[110]	train-mlogloss:0.88254	validation-mlogloss:0.85844
[111]	train-mlogloss:0.88021	validation-mlogloss:0.85586
[112]	train-mlogloss:0.87770	validation-mlogloss:0.85315
[113]	train-mlogloss:0.87532	validation-mlogloss:0.85057
[114]	train-mlogloss:0.87290	validation-mlogloss:0.84800
[115]	train-mlogloss:0.87061	validation-mlogloss:0.84558
[116]	train-mlogloss:0.86834	validation-mlogloss:0.84320
[117]	train-mlogloss:0.86601	validation-mlogloss:0.84070
[118]	train-mlogloss:0.86366	validation-mlogloss:0.83825
[119]	train-mlogloss:0.86140	validation-mlogloss:0.83590
[120]	train-mlogloss:0.85909	validation-mlogloss:0.83341
[121]	train-mlogloss:0.85698	validation-mlogloss:0.83118
[122]	train-mlogloss:0.85477	validation-mlogloss:0.82882
[123]	train-mlogloss:0.85269	validation-mlogloss:0.82655
[124]	train-mlogloss:0.85058	validation-mlogloss:0.82439
[125]	train-mlogloss:0.84847	validation-mlogloss:0.82212
[126]	train-mlogloss:0.84632	validation-mlogloss:0.81985
[127]	train-mlogloss:0.84418	validation-mlogloss:0.81754
[128]	train-mlogloss:0.84220	validation-mlogloss:0.81544
[129]	train-mlogloss:0.84019	validation-mlogloss:0.81335
[130]	train-mlogloss:0.83812	validation-mlogloss:0.81117
[131]	train-mlogloss:0.83616	validation-mlogloss:0.80907
[132]	train-mlogloss:0.83406	validation-mlogloss:0.80675
[133]	train-mlogloss:0.83208	validation-mlogloss:0.80458
[134]	train-mlogloss:0.83008	validation-mlogloss:0.80244
[135]	train-mlogloss:0.82817	validation-mlogloss:0.80037
[136]	train-mlogloss:0.82624	validation-mlogloss:0.79825
[137]	train-mlogloss:0.82440	validation-mlogloss:0.79628
[138]	train-mlogloss:0.82253	validation-mlogloss:0.79437
[139]	train-mlogloss:0.82066	validation-mlogloss:0.79240
[140]	train-mlogloss:0.81888	validation-mlogloss:0.79052
[141]	train-mlogloss:0.81695	validation-mlogloss:0.78844
[142]	train-mlogloss:0.81510	validation-mlogloss:0.78649
[143]	train-mlogloss:0.81343	validation-mlogloss:0.78468
[144]	train-mlogloss:0.81170	validation-mlogloss:0.78274
[145]	train-mlogloss:0.80997	validation-mlogloss:0.78083
[146]	train-mlogloss:0.80819	validation-mlogloss:0.77883
[147]	train-mlogloss:0.80644	validation-mlogloss:0.77690
[148]	train-mlogloss:0.80459	validation-mlogloss:0.77492
[149]	train-mlogloss:0.80288	validation-mlogloss:0.77304
[150]	train-mlogloss:0.80118	validation-mlogloss:0.77116
[151]	train-mlogloss:0.79949	validation-mlogloss:0.76930
[152]	train-mlogloss:0.79783	validation-mlogloss:0.76761
[153]	train-mlogloss:0.79608	validation-mlogloss:0.76576
[154]	train-mlogloss:0.79440	validation-mlogloss:0.76396
[155]	train-mlogloss:0.79279	validation-mlogloss:0.76218
[156]	train-mlogloss:0.79124	validation-mlogloss:0.76044
[157]	train-mlogloss:0.78964	validation-mlogloss:0.75869
[158]	train-mlogloss:0.78813	validation-mlogloss:0.75701
[159]	train-mlogloss:0.78657	validation-mlogloss:0.75536
[160]	train-mlogloss:0.78494	validation-mlogloss:0.75362
[161]	train-mlogloss:0.78334	validation-mlogloss:0.75194
[162]	train-mlogloss:0.78183	validation-mlogloss:0.75028
[163]	train-mlogloss:0.78023	validation-mlogloss:0.74861
[164]	train-mlogloss:0.77872	validation-mlogloss:0.74694
[165]	train-mlogloss:0.77730	validation-mlogloss:0.74539
[166]	train-mlogloss:0.77582	validation-mlogloss:0.74383
[167]	train-mlogloss:0.77432	validation-mlogloss:0.74220
[168]	train-mlogloss:0.77294	validation-mlogloss:0.74074
[169]	train-mlogloss:0.77151	validation-mlogloss:0.73929
[170]	train-mlogloss:0.77011	validation-mlogloss:0.73763
[171]	train-mlogloss:0.76878	validation-mlogloss:0.73613
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[345]	train-mlogloss:0.63081	validation-mlogloss:0.58171
[346]	train-mlogloss:0.63038	validation-mlogloss:0.58121
[347]	train-mlogloss:0.62999	validation-mlogloss:0.58071
[348]	train-mlogloss:0.62957	validation-mlogloss:0.58028
[349]	train-mlogloss:0.62921	validation-mlogloss:0.57985
[350]	train-mlogloss:0.62880	validation-mlogloss:0.57934
[351]	train-mlogloss:0.62846	validation-mlogloss:0.57893
[352]	train-mlogloss:0.62806	validation-mlogloss:0.57850
[353]	train-mlogloss:0.62770	validation-mlogloss:0.57806
[354]	train-mlogloss:0.62735	validation-mlogloss:0.57764
[355]	train-mlogloss:0.62697	validation-mlogloss:0.57721
[356]	train-mlogloss:0.62661	validation-mlogloss:0.57682
[357]	train-mlogloss:0.62634	validation-mlogloss:0.57651
[358]	train-mlogloss:0.62599	validation-mlogloss:0.57613
[359]	train-mlogloss:0.62567	validation-mlogloss:0.57575
[360]	train-mlogloss:0.62533	validation-mlogloss:0.57536
[361]	train-mlogloss:0.62494	validation-mlogloss:0.57487
[362]	train-mlogloss:0.62457	validation-mlogloss:0.57447
[363]	train-mlogloss:0.62429	validation-mlogloss:0.57416
[364]	train-mlogloss:0.62397	validation-mlogloss:0.57377
[365]	train-mlogloss:0.62352	validation-mlogloss:0.57327
[366]	train-mlogloss:0.62316	validation-mlogloss:0.57288
[367]	train-mlogloss:0.62286	validation-mlogloss:0.57255
[368]	train-mlogloss:0.62254	validation-mlogloss:0.57211
[369]	train-mlogloss:0.62222	validation-mlogloss:0.57174
[370]	train-mlogloss:0.62190	validation-mlogloss:0.57134
[371]	train-mlogloss:0.62156	validation-mlogloss:0.57099
[372]	train-mlogloss:0.62129	validation-mlogloss:0.57070
[373]	train-mlogloss:0.62093	validation-mlogloss:0.57033
[374]	train-mlogloss:0.62064	validation-mlogloss:0.57001
[375]	train-mlogloss:0.62031	validation-mlogloss:0.56963
[376]	train-mlogloss:0.61993	validation-mlogloss:0.56917
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[378]	train-mlogloss:0.61925	validation-mlogloss:0.56838
[379]	train-mlogloss:0.61892	validation-mlogloss:0.56799
[380]	train-mlogloss:0.61865	validation-mlogloss:0.56764
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 1 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.32 [%]
Global accuracy score (test) = 78.21 [%]
Global F1 score (train) = 75.38 [%]
Global F1 score (test) = 78.84 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.63      0.59      0.61       350
MODERATE-INTENSITY       0.61      0.71      0.65       350
         SEDENTARY       0.99      0.94      0.96       350
VIGOROUS-INTENSITY       0.96      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.80      0.78      0.79      1372
      weighted avg       0.79      0.78      0.79      1372


Accuracy capturado en la ejecución 19: 78.21 [%]
F1-score capturado en la ejecución 19: 78.84 [%]

=== EJECUCIÓN 20 ===

--- TRAIN (ejecución 20) ---

--- TEST (ejecución 20) ---
2025-11-06 16:29:09.898341: 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`.
2025-11-06 16:29:09.909845: 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 00:00:1762442949.924335 1482749 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442949.928789 1482749 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442949.939556 1482749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442949.939580 1482749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442949.939583 1482749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442949.939585 1482749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:29:09.943022: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.37811	validation-mlogloss:1.37769
[1]	train-mlogloss:1.37015	validation-mlogloss:1.36938
[2]	train-mlogloss:1.36227	validation-mlogloss:1.36117
[3]	train-mlogloss:1.35447	validation-mlogloss:1.35292
[4]	train-mlogloss:1.34688	validation-mlogloss:1.34494
[5]	train-mlogloss:1.33931	validation-mlogloss:1.33699
[6]	train-mlogloss:1.33183	validation-mlogloss:1.32911
[7]	train-mlogloss:1.32453	validation-mlogloss:1.32157
[8]	train-mlogloss:1.31728	validation-mlogloss:1.31392
[9]	train-mlogloss:1.31020	validation-mlogloss:1.30659
[10]	train-mlogloss:1.30310	validation-mlogloss:1.29906
[11]	train-mlogloss:1.29614	validation-mlogloss:1.29175
[12]	train-mlogloss:1.28936	validation-mlogloss:1.28454
[13]	train-mlogloss:1.28268	validation-mlogloss:1.27754
[14]	train-mlogloss:1.27629	validation-mlogloss:1.27094
[15]	train-mlogloss:1.26968	validation-mlogloss:1.26393
[16]	train-mlogloss:1.26318	validation-mlogloss:1.25700
[17]	train-mlogloss:1.25674	validation-mlogloss:1.25018
[18]	train-mlogloss:1.25048	validation-mlogloss:1.24354
[19]	train-mlogloss:1.24426	validation-mlogloss:1.23702
[20]	train-mlogloss:1.23814	validation-mlogloss:1.23044
[21]	train-mlogloss:1.23200	validation-mlogloss:1.22392
[22]	train-mlogloss:1.22603	validation-mlogloss:1.21764
[23]	train-mlogloss:1.22000	validation-mlogloss:1.21135
[24]	train-mlogloss:1.21406	validation-mlogloss:1.20505
[25]	train-mlogloss:1.20829	validation-mlogloss:1.19891
[26]	train-mlogloss:1.20247	validation-mlogloss:1.19272
[27]	train-mlogloss:1.19690	validation-mlogloss:1.18682
[28]	train-mlogloss:1.19140	validation-mlogloss:1.18098
[29]	train-mlogloss:1.18583	validation-mlogloss:1.17517
[30]	train-mlogloss:1.18042	validation-mlogloss:1.16951
[31]	train-mlogloss:1.17495	validation-mlogloss:1.16372
[32]	train-mlogloss:1.16962	validation-mlogloss:1.15806
[33]	train-mlogloss:1.16424	validation-mlogloss:1.15252
[34]	train-mlogloss:1.15902	validation-mlogloss:1.14691
[35]	train-mlogloss:1.15381	validation-mlogloss:1.14130
[36]	train-mlogloss:1.14873	validation-mlogloss:1.13588
[37]	train-mlogloss:1.14372	validation-mlogloss:1.13048
[38]	train-mlogloss:1.13887	validation-mlogloss:1.12543
[39]	train-mlogloss:1.13378	validation-mlogloss:1.12018
[40]	train-mlogloss:1.12899	validation-mlogloss:1.11510
[41]	train-mlogloss:1.12402	validation-mlogloss:1.10979
[42]	train-mlogloss:1.11909	validation-mlogloss:1.10459
[43]	train-mlogloss:1.11449	validation-mlogloss:1.09972
[44]	train-mlogloss:1.10965	validation-mlogloss:1.09473
[45]	train-mlogloss:1.10507	validation-mlogloss:1.08982
[46]	train-mlogloss:1.10059	validation-mlogloss:1.08509
[47]	train-mlogloss:1.09595	validation-mlogloss:1.08017
[48]	train-mlogloss:1.09135	validation-mlogloss:1.07546
[49]	train-mlogloss:1.08695	validation-mlogloss:1.07076
[50]	train-mlogloss:1.08250	validation-mlogloss:1.06612
[51]	train-mlogloss:1.07822	validation-mlogloss:1.06158
[52]	train-mlogloss:1.07380	validation-mlogloss:1.05697
[53]	train-mlogloss:1.06952	validation-mlogloss:1.05260
[54]	train-mlogloss:1.06524	validation-mlogloss:1.04812
[55]	train-mlogloss:1.06108	validation-mlogloss:1.04377
[56]	train-mlogloss:1.05697	validation-mlogloss:1.03957
[57]	train-mlogloss:1.05271	validation-mlogloss:1.03514
[58]	train-mlogloss:1.04878	validation-mlogloss:1.03098
[59]	train-mlogloss:1.04470	validation-mlogloss:1.02688
[60]	train-mlogloss:1.04070	validation-mlogloss:1.02276
[61]	train-mlogloss:1.03678	validation-mlogloss:1.01872
[62]	train-mlogloss:1.03281	validation-mlogloss:1.01463
[63]	train-mlogloss:1.02891	validation-mlogloss:1.01062
[64]	train-mlogloss:1.02505	validation-mlogloss:1.00660
[65]	train-mlogloss:1.02123	validation-mlogloss:1.00263
[66]	train-mlogloss:1.01757	validation-mlogloss:0.99881
[67]	train-mlogloss:1.01384	validation-mlogloss:0.99491
[68]	train-mlogloss:1.01018	validation-mlogloss:0.99110
[69]	train-mlogloss:1.00651	validation-mlogloss:0.98728
[70]	train-mlogloss:1.00287	validation-mlogloss:0.98347
[71]	train-mlogloss:0.99916	validation-mlogloss:0.97942
[72]	train-mlogloss:0.99572	validation-mlogloss:0.97588
[73]	train-mlogloss:0.99227	validation-mlogloss:0.97223
[74]	train-mlogloss:0.98882	validation-mlogloss:0.96853
[75]	train-mlogloss:0.98537	validation-mlogloss:0.96492
[76]	train-mlogloss:0.98204	validation-mlogloss:0.96143
[77]	train-mlogloss:0.97870	validation-mlogloss:0.95790
[78]	train-mlogloss:0.97548	validation-mlogloss:0.95456
[79]	train-mlogloss:0.97217	validation-mlogloss:0.95104
[80]	train-mlogloss:0.96888	validation-mlogloss:0.94746
[81]	train-mlogloss:0.96570	validation-mlogloss:0.94416
[82]	train-mlogloss:0.96256	validation-mlogloss:0.94078
[83]	train-mlogloss:0.95943	validation-mlogloss:0.93748
[84]	train-mlogloss:0.95631	validation-mlogloss:0.93422
[85]	train-mlogloss:0.95319	validation-mlogloss:0.93096
[86]	train-mlogloss:0.95004	validation-mlogloss:0.92759
[87]	train-mlogloss:0.94701	validation-mlogloss:0.92442
[88]	train-mlogloss:0.94404	validation-mlogloss:0.92132
[89]	train-mlogloss:0.94107	validation-mlogloss:0.91816
[90]	train-mlogloss:0.93814	validation-mlogloss:0.91507
[91]	train-mlogloss:0.93529	validation-mlogloss:0.91214
[92]	train-mlogloss:0.93244	validation-mlogloss:0.90916
[93]	train-mlogloss:0.92957	validation-mlogloss:0.90612
[94]	train-mlogloss:0.92676	validation-mlogloss:0.90318
[95]	train-mlogloss:0.92398	validation-mlogloss:0.90017
[96]	train-mlogloss:0.92124	validation-mlogloss:0.89725
[97]	train-mlogloss:0.91850	validation-mlogloss:0.89432
[98]	train-mlogloss:0.91578	validation-mlogloss:0.89146
[99]	train-mlogloss:0.91295	validation-mlogloss:0.88838
[100]	train-mlogloss:0.91036	validation-mlogloss:0.88565
[101]	train-mlogloss:0.90775	validation-mlogloss:0.88290
[102]	train-mlogloss:0.90495	validation-mlogloss:0.87991
[103]	train-mlogloss:0.90236	validation-mlogloss:0.87713
[104]	train-mlogloss:0.89968	validation-mlogloss:0.87423
[105]	train-mlogloss:0.89723	validation-mlogloss:0.87166
[106]	train-mlogloss:0.89469	validation-mlogloss:0.86895
[107]	train-mlogloss:0.89211	validation-mlogloss:0.86620
[108]	train-mlogloss:0.88968	validation-mlogloss:0.86362
[109]	train-mlogloss:0.88728	validation-mlogloss:0.86110
[110]	train-mlogloss:0.88488	validation-mlogloss:0.85850
[111]	train-mlogloss:0.88253	validation-mlogloss:0.85601
[112]	train-mlogloss:0.88016	validation-mlogloss:0.85346
[113]	train-mlogloss:0.87774	validation-mlogloss:0.85093
[114]	train-mlogloss:0.87525	validation-mlogloss:0.84821
[115]	train-mlogloss:0.87280	validation-mlogloss:0.84556
[116]	train-mlogloss:0.87051	validation-mlogloss:0.84309
[117]	train-mlogloss:0.86827	validation-mlogloss:0.84063
[118]	train-mlogloss:0.86604	validation-mlogloss:0.83826
[119]	train-mlogloss:0.86375	validation-mlogloss:0.83573
[120]	train-mlogloss:0.86152	validation-mlogloss:0.83333
[121]	train-mlogloss:0.85925	validation-mlogloss:0.83089
[122]	train-mlogloss:0.85712	validation-mlogloss:0.82859
[123]	train-mlogloss:0.85498	validation-mlogloss:0.82632
[124]	train-mlogloss:0.85276	validation-mlogloss:0.82385
[125]	train-mlogloss:0.85066	validation-mlogloss:0.82164
[126]	train-mlogloss:0.84858	validation-mlogloss:0.81951
[127]	train-mlogloss:0.84643	validation-mlogloss:0.81717
[128]	train-mlogloss:0.84438	validation-mlogloss:0.81501
[129]	train-mlogloss:0.84228	validation-mlogloss:0.81271
[130]	train-mlogloss:0.84023	validation-mlogloss:0.81044
[131]	train-mlogloss:0.83822	validation-mlogloss:0.80828
[132]	train-mlogloss:0.83628	validation-mlogloss:0.80620
[133]	train-mlogloss:0.83419	validation-mlogloss:0.80391
[134]	train-mlogloss:0.83232	validation-mlogloss:0.80189
[135]	train-mlogloss:0.83042	validation-mlogloss:0.79983
[136]	train-mlogloss:0.82846	validation-mlogloss:0.79767
[137]	train-mlogloss:0.82662	validation-mlogloss:0.79569
[138]	train-mlogloss:0.82475	validation-mlogloss:0.79366
[139]	train-mlogloss:0.82280	validation-mlogloss:0.79148
[140]	train-mlogloss:0.82100	validation-mlogloss:0.78962
[141]	train-mlogloss:0.81917	validation-mlogloss:0.78765
[142]	train-mlogloss:0.81733	validation-mlogloss:0.78556
[143]	train-mlogloss:0.81556	validation-mlogloss:0.78360
[144]	train-mlogloss:0.81375	validation-mlogloss:0.78153
[145]	train-mlogloss:0.81195	validation-mlogloss:0.77959
[146]	train-mlogloss:0.81020	validation-mlogloss:0.77772
[147]	train-mlogloss:0.80850	validation-mlogloss:0.77589
[148]	train-mlogloss:0.80676	validation-mlogloss:0.77400
[149]	train-mlogloss:0.80501	validation-mlogloss:0.77208
[150]	train-mlogloss:0.80336	validation-mlogloss:0.77028
[151]	train-mlogloss:0.80169	validation-mlogloss:0.76848
[152]	train-mlogloss:0.80004	validation-mlogloss:0.76670
[153]	train-mlogloss:0.79844	validation-mlogloss:0.76500
[154]	train-mlogloss:0.79671	validation-mlogloss:0.76304
[155]	train-mlogloss:0.79511	validation-mlogloss:0.76127
[156]	train-mlogloss:0.79345	validation-mlogloss:0.75938
[157]	train-mlogloss:0.79192	validation-mlogloss:0.75774
[158]	train-mlogloss:0.79033	validation-mlogloss:0.75601
[159]	train-mlogloss:0.78867	validation-mlogloss:0.75418
[160]	train-mlogloss:0.78713	validation-mlogloss:0.75246
[161]	train-mlogloss:0.78549	validation-mlogloss:0.75066
[162]	train-mlogloss:0.78390	validation-mlogloss:0.74894
[163]	train-mlogloss:0.78247	validation-mlogloss:0.74737
[164]	train-mlogloss:0.78094	validation-mlogloss:0.74573
[165]	train-mlogloss:0.77943	validation-mlogloss:0.74402
[166]	train-mlogloss:0.77798	validation-mlogloss:0.74237
[167]	train-mlogloss:0.77649	validation-mlogloss:0.74074
[168]	train-mlogloss:0.77501	validation-mlogloss:0.73915
[169]	train-mlogloss:0.77352	validation-mlogloss:0.73743
[170]	train-mlogloss:0.77208	validation-mlogloss:0.73579
[171]	train-mlogloss:0.77071	validation-mlogloss:0.73427
[172]	train-mlogloss:0.76919	validation-mlogloss:0.73256
[173]	train-mlogloss:0.76787	validation-mlogloss:0.73113
[174]	train-mlogloss:0.76642	validation-mlogloss:0.72956
[175]	train-mlogloss:0.76504	validation-mlogloss:0.72798
[176]	train-mlogloss:0.76369	validation-mlogloss:0.72646
[177]	train-mlogloss:0.76232	validation-mlogloss:0.72497
[178]	train-mlogloss:0.76088	validation-mlogloss:0.72339
[179]	train-mlogloss:0.75947	validation-mlogloss:0.72182
[180]	train-mlogloss:0.75815	validation-mlogloss:0.72029
[181]	train-mlogloss:0.75670	validation-mlogloss:0.71870
[182]	train-mlogloss:0.75537	validation-mlogloss:0.71729
[183]	train-mlogloss:0.75407	validation-mlogloss:0.71601
[184]	train-mlogloss:0.75274	validation-mlogloss:0.71454
[185]	train-mlogloss:0.75153	validation-mlogloss:0.71318
[186]	train-mlogloss:0.75026	validation-mlogloss:0.71173
[187]	train-mlogloss:0.74903	validation-mlogloss:0.71040
[188]	train-mlogloss:0.74781	validation-mlogloss:0.70903
[189]	train-mlogloss:0.74654	validation-mlogloss:0.70758
[190]	train-mlogloss:0.74524	validation-mlogloss:0.70609
[191]	train-mlogloss:0.74405	validation-mlogloss:0.70475
[192]	train-mlogloss:0.74277	validation-mlogloss:0.70329
[193]	train-mlogloss:0.74148	validation-mlogloss:0.70186
[194]	train-mlogloss:0.74028	validation-mlogloss:0.70054
[195]	train-mlogloss:0.73897	validation-mlogloss:0.69913
[196]	train-mlogloss:0.73776	validation-mlogloss:0.69776
[197]	train-mlogloss:0.73658	validation-mlogloss:0.69635
[198]	train-mlogloss:0.73533	validation-mlogloss:0.69492
[199]	train-mlogloss:0.73413	validation-mlogloss:0.69356
[200]	train-mlogloss:0.73298	validation-mlogloss:0.69233
[201]	train-mlogloss:0.73183	validation-mlogloss:0.69098
[202]	train-mlogloss:0.73076	validation-mlogloss:0.68980
[203]	train-mlogloss:0.72975	validation-mlogloss:0.68869
[204]	train-mlogloss:0.72872	validation-mlogloss:0.68750
[205]	train-mlogloss:0.72767	validation-mlogloss:0.68632
[206]	train-mlogloss:0.72662	validation-mlogloss:0.68509
[207]	train-mlogloss:0.72548	validation-mlogloss:0.68381
[208]	train-mlogloss:0.72442	validation-mlogloss:0.68263
[209]	train-mlogloss:0.72333	validation-mlogloss:0.68147
[210]	train-mlogloss:0.72226	validation-mlogloss:0.68028
[211]	train-mlogloss:0.72116	validation-mlogloss:0.67908
[212]	train-mlogloss:0.72017	validation-mlogloss:0.67797
[213]	train-mlogloss:0.71914	validation-mlogloss:0.67683
[214]	train-mlogloss:0.71813	validation-mlogloss:0.67579
[215]	train-mlogloss:0.71717	validation-mlogloss:0.67469
[216]	train-mlogloss:0.71620	validation-mlogloss:0.67357
[217]	train-mlogloss:0.71517	validation-mlogloss:0.67239
[218]	train-mlogloss:0.71414	validation-mlogloss:0.67127
[219]	train-mlogloss:0.71321	validation-mlogloss:0.67028
[220]	train-mlogloss:0.71213	validation-mlogloss:0.66909
[221]	train-mlogloss:0.71110	validation-mlogloss:0.66794
[222]	train-mlogloss:0.71015	validation-mlogloss:0.66683
[223]	train-mlogloss:0.70930	validation-mlogloss:0.66596
[224]	train-mlogloss:0.70838	validation-mlogloss:0.66495
[225]	train-mlogloss:0.70740	validation-mlogloss:0.66381
[226]	train-mlogloss:0.70655	validation-mlogloss:0.66284
[227]	train-mlogloss:0.70570	validation-mlogloss:0.66186
[228]	train-mlogloss:0.70470	validation-mlogloss:0.66070
[229]	train-mlogloss:0.70388	validation-mlogloss:0.65977
[230]	train-mlogloss:0.70293	validation-mlogloss:0.65865
[231]	train-mlogloss:0.70201	validation-mlogloss:0.65762
[232]	train-mlogloss:0.70106	validation-mlogloss:0.65653
[233]	train-mlogloss:0.70023	validation-mlogloss:0.65560
[234]	train-mlogloss:0.69946	validation-mlogloss:0.65470
[235]	train-mlogloss:0.69858	validation-mlogloss:0.65362
[236]	train-mlogloss:0.69766	validation-mlogloss:0.65260
[237]	train-mlogloss:0.69682	validation-mlogloss:0.65163
[238]	train-mlogloss:0.69597	validation-mlogloss:0.65061
[239]	train-mlogloss:0.69510	validation-mlogloss:0.64960
[240]	train-mlogloss:0.69426	validation-mlogloss:0.64866
[241]	train-mlogloss:0.69345	validation-mlogloss:0.64787
[242]	train-mlogloss:0.69265	validation-mlogloss:0.64694
[243]	train-mlogloss:0.69179	validation-mlogloss:0.64598
[244]	train-mlogloss:0.69102	validation-mlogloss:0.64507
[245]	train-mlogloss:0.69021	validation-mlogloss:0.64418
[246]	train-mlogloss:0.68942	validation-mlogloss:0.64325
[247]	train-mlogloss:0.68860	validation-mlogloss:0.64230
[248]	train-mlogloss:0.68784	validation-mlogloss:0.64143
[249]	train-mlogloss:0.68706	validation-mlogloss:0.64051
[250]	train-mlogloss:0.68623	validation-mlogloss:0.63958
[251]	train-mlogloss:0.68558	validation-mlogloss:0.63887
[252]	train-mlogloss:0.68483	validation-mlogloss:0.63798
[253]	train-mlogloss:0.68410	validation-mlogloss:0.63715
[254]	train-mlogloss:0.68324	validation-mlogloss:0.63620
[255]	train-mlogloss:0.68244	validation-mlogloss:0.63531
[256]	train-mlogloss:0.68170	validation-mlogloss:0.63449
[257]	train-mlogloss:0.68096	validation-mlogloss:0.63359
[258]	train-mlogloss:0.68021	validation-mlogloss:0.63276
[259]	train-mlogloss:0.67945	validation-mlogloss:0.63192
[260]	train-mlogloss:0.67876	validation-mlogloss:0.63111
[261]	train-mlogloss:0.67801	validation-mlogloss:0.63031
[262]	train-mlogloss:0.67721	validation-mlogloss:0.62938
[263]	train-mlogloss:0.67647	validation-mlogloss:0.62853
[264]	train-mlogloss:0.67581	validation-mlogloss:0.62778
[265]	train-mlogloss:0.67510	validation-mlogloss:0.62698
[266]	train-mlogloss:0.67441	validation-mlogloss:0.62616
[267]	train-mlogloss:0.67372	validation-mlogloss:0.62532
[268]	train-mlogloss:0.67301	validation-mlogloss:0.62449
[269]	train-mlogloss:0.67229	validation-mlogloss:0.62368
[270]	train-mlogloss:0.67148	validation-mlogloss:0.62277
[271]	train-mlogloss:0.67072	validation-mlogloss:0.62192
[272]	train-mlogloss:0.67005	validation-mlogloss:0.62121
[273]	train-mlogloss:0.66937	validation-mlogloss:0.62042
[274]	train-mlogloss:0.66872	validation-mlogloss:0.61967
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[276]	train-mlogloss:0.66760	validation-mlogloss:0.61847
[277]	train-mlogloss:0.66690	validation-mlogloss:0.61766
[278]	train-mlogloss:0.66628	validation-mlogloss:0.61697
[279]	train-mlogloss:0.66566	validation-mlogloss:0.61630
[280]	train-mlogloss:0.66496	validation-mlogloss:0.61547
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[282]	train-mlogloss:0.66374	validation-mlogloss:0.61410
[283]	train-mlogloss:0.66307	validation-mlogloss:0.61338
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[285]	train-mlogloss:0.66188	validation-mlogloss:0.61199
[286]	train-mlogloss:0.66128	validation-mlogloss:0.61125
[287]	train-mlogloss:0.66066	validation-mlogloss:0.61054
[288]	train-mlogloss:0.66012	validation-mlogloss:0.60992
[289]	train-mlogloss:0.65959	validation-mlogloss:0.60932
[290]	train-mlogloss:0.65902	validation-mlogloss:0.60867
[291]	train-mlogloss:0.65849	validation-mlogloss:0.60806
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[300]	train-mlogloss:0.65354	validation-mlogloss:0.60232
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[302]	train-mlogloss:0.65241	validation-mlogloss:0.60109
[303]	train-mlogloss:0.65190	validation-mlogloss:0.60053
[304]	train-mlogloss:0.65132	validation-mlogloss:0.59987
[305]	train-mlogloss:0.65080	validation-mlogloss:0.59931
[306]	train-mlogloss:0.65025	validation-mlogloss:0.59871
[307]	train-mlogloss:0.64977	validation-mlogloss:0.59808
[308]	train-mlogloss:0.64926	validation-mlogloss:0.59741
[309]	train-mlogloss:0.64874	validation-mlogloss:0.59678
[310]	train-mlogloss:0.64826	validation-mlogloss:0.59620
[311]	train-mlogloss:0.64770	validation-mlogloss:0.59553
[312]	train-mlogloss:0.64713	validation-mlogloss:0.59491
[313]	train-mlogloss:0.64668	validation-mlogloss:0.59436
[314]	train-mlogloss:0.64616	validation-mlogloss:0.59380
[315]	train-mlogloss:0.64567	validation-mlogloss:0.59323
[316]	train-mlogloss:0.64519	validation-mlogloss:0.59269
[317]	train-mlogloss:0.64471	validation-mlogloss:0.59215
[318]	train-mlogloss:0.64425	validation-mlogloss:0.59170
[319]	train-mlogloss:0.64379	validation-mlogloss:0.59113
[320]	train-mlogloss:0.64325	validation-mlogloss:0.59059
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[323]	train-mlogloss:0.64196	validation-mlogloss:0.58898
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[326]	train-mlogloss:0.64058	validation-mlogloss:0.58746
[327]	train-mlogloss:0.64014	validation-mlogloss:0.58692
[328]	train-mlogloss:0.63973	validation-mlogloss:0.58645
[329]	train-mlogloss:0.63934	validation-mlogloss:0.58597
[330]	train-mlogloss:0.63889	validation-mlogloss:0.58548
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[332]	train-mlogloss:0.63814	validation-mlogloss:0.58458
[333]	train-mlogloss:0.63772	validation-mlogloss:0.58412
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[341]	train-mlogloss:0.63447	validation-mlogloss:0.58033
[342]	train-mlogloss:0.63405	validation-mlogloss:0.57991
[343]	train-mlogloss:0.63366	validation-mlogloss:0.57944
[344]	train-mlogloss:0.63328	validation-mlogloss:0.57902
[345]	train-mlogloss:0.63293	validation-mlogloss:0.57854
[346]	train-mlogloss:0.63252	validation-mlogloss:0.57805
[347]	train-mlogloss:0.63212	validation-mlogloss:0.57758
[348]	train-mlogloss:0.63184	validation-mlogloss:0.57726
[349]	train-mlogloss:0.63153	validation-mlogloss:0.57689
[350]	train-mlogloss:0.63110	validation-mlogloss:0.57645
[351]	train-mlogloss:0.63071	validation-mlogloss:0.57599
[352]	train-mlogloss:0.63036	validation-mlogloss:0.57559
[353]	train-mlogloss:0.63000	validation-mlogloss:0.57520
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[355]	train-mlogloss:0.62926	validation-mlogloss:0.57431
[356]	train-mlogloss:0.62886	validation-mlogloss:0.57382
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[358]	train-mlogloss:0.62812	validation-mlogloss:0.57294
[359]	train-mlogloss:0.62780	validation-mlogloss:0.57258
[360]	train-mlogloss:0.62735	validation-mlogloss:0.57210
[361]	train-mlogloss:0.62698	validation-mlogloss:0.57164
[362]	train-mlogloss:0.62655	validation-mlogloss:0.57115
[363]	train-mlogloss:0.62617	validation-mlogloss:0.57072
[364]	train-mlogloss:0.62582	validation-mlogloss:0.57031
[365]	train-mlogloss:0.62556	validation-mlogloss:0.56999
[366]	train-mlogloss:0.62522	validation-mlogloss:0.56961
[367]	train-mlogloss:0.62486	validation-mlogloss:0.56920
[368]	train-mlogloss:0.62450	validation-mlogloss:0.56877
[369]	train-mlogloss:0.62417	validation-mlogloss:0.56842
[370]	train-mlogloss:0.62379	validation-mlogloss:0.56798
[371]	train-mlogloss:0.62339	validation-mlogloss:0.56754
[372]	train-mlogloss:0.62306	validation-mlogloss:0.56717
[373]	train-mlogloss:0.62276	validation-mlogloss:0.56681
[374]	train-mlogloss:0.62243	validation-mlogloss:0.56645
[375]	train-mlogloss:0.62217	validation-mlogloss:0.56613
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[379]	train-mlogloss:0.62097	validation-mlogloss:0.56468
[380]	train-mlogloss:0.62068	validation-mlogloss:0.56438
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 1 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.31 [%]
Global accuracy score (test) = 76.09 [%]
Global F1 score (train) = 75.46 [%]
Global F1 score (test) = 76.92 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.57      0.62      0.60       350
MODERATE-INTENSITY       0.58      0.59      0.59       350
         SEDENTARY       0.99      0.94      0.96       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.76      1372
         macro avg       0.78      0.76      0.77      1372
      weighted avg       0.77      0.76      0.77      1372


Accuracy capturado en la ejecución 20: 76.09 [%]
F1-score capturado en la ejecución 20: 76.92 [%]

=== EJECUCIÓN 21 ===

--- TRAIN (ejecución 21) ---

--- TEST (ejecución 21) ---
2025-11-06 16:29:21.209172: 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`.
2025-11-06 16:29:21.220413: 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 00:00:1762442961.233457 1483041 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442961.237480 1483041 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442961.247233 1483041 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442961.247252 1483041 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442961.247254 1483041 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442961.247255 1483041 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:29:21.250254: 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:1.37815	validation-mlogloss:1.37785
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[19]	train-mlogloss:1.24288	validation-mlogloss:1.23597
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[22]	train-mlogloss:1.22435	validation-mlogloss:1.21662
[23]	train-mlogloss:1.21847	validation-mlogloss:1.21040
[24]	train-mlogloss:1.21256	validation-mlogloss:1.20421
[25]	train-mlogloss:1.20673	validation-mlogloss:1.19818
[26]	train-mlogloss:1.20093	validation-mlogloss:1.19200
[27]	train-mlogloss:1.19524	validation-mlogloss:1.18612
[28]	train-mlogloss:1.18967	validation-mlogloss:1.18031
[29]	train-mlogloss:1.18405	validation-mlogloss:1.17433
[30]	train-mlogloss:1.17854	validation-mlogloss:1.16847
[31]	train-mlogloss:1.17315	validation-mlogloss:1.16285
[32]	train-mlogloss:1.16779	validation-mlogloss:1.15721
[33]	train-mlogloss:1.16248	validation-mlogloss:1.15154
[34]	train-mlogloss:1.15731	validation-mlogloss:1.14618
[35]	train-mlogloss:1.15213	validation-mlogloss:1.14067
[36]	train-mlogloss:1.14694	validation-mlogloss:1.13503
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[39]	train-mlogloss:1.13166	validation-mlogloss:1.11945
[40]	train-mlogloss:1.12659	validation-mlogloss:1.11422
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[43]	train-mlogloss:1.11222	validation-mlogloss:1.09907
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[52]	train-mlogloss:1.07106	validation-mlogloss:1.05640
[53]	train-mlogloss:1.06671	validation-mlogloss:1.05190
[54]	train-mlogloss:1.06251	validation-mlogloss:1.04737
[55]	train-mlogloss:1.05825	validation-mlogloss:1.04291
[56]	train-mlogloss:1.05396	validation-mlogloss:1.03844
[57]	train-mlogloss:1.04979	validation-mlogloss:1.03410
[58]	train-mlogloss:1.04565	validation-mlogloss:1.02975
[59]	train-mlogloss:1.04158	validation-mlogloss:1.02550
[60]	train-mlogloss:1.03757	validation-mlogloss:1.02147
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[62]	train-mlogloss:1.02963	validation-mlogloss:1.01327
[63]	train-mlogloss:1.02576	validation-mlogloss:1.00921
[64]	train-mlogloss:1.02190	validation-mlogloss:1.00515
[65]	train-mlogloss:1.01804	validation-mlogloss:1.00114
[66]	train-mlogloss:1.01423	validation-mlogloss:0.99707
[67]	train-mlogloss:1.01061	validation-mlogloss:0.99322
[68]	train-mlogloss:1.00692	validation-mlogloss:0.98934
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[369]	train-mlogloss:0.62119	validation-mlogloss:0.56655
[370]	train-mlogloss:0.62086	validation-mlogloss:0.56619
[371]	train-mlogloss:0.62052	validation-mlogloss:0.56583
[372]	train-mlogloss:0.62018	validation-mlogloss:0.56542
[373]	train-mlogloss:0.61994	validation-mlogloss:0.56517
[374]	train-mlogloss:0.61964	validation-mlogloss:0.56482
[375]	train-mlogloss:0.61940	validation-mlogloss:0.56452
[376]	train-mlogloss:0.61914	validation-mlogloss:0.56423
[377]	train-mlogloss:0.61879	validation-mlogloss:0.56377
[378]	train-mlogloss:0.61855	validation-mlogloss:0.56354
[379]	train-mlogloss:0.61824	validation-mlogloss:0.56316
[380]	train-mlogloss:0.61800	validation-mlogloss:0.56291
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 1]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.98 [%]
Global accuracy score (test) = 77.55 [%]
Global F1 score (train) = 75.07 [%]
Global F1 score (test) = 78.27 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.59      0.60       350
MODERATE-INTENSITY       0.59      0.68      0.63       350
         SEDENTARY       0.99      0.96      0.97       350
VIGOROUS-INTENSITY       0.97      0.89      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 21: 77.55 [%]
F1-score capturado en la ejecución 21: 78.27 [%]

=== EJECUCIÓN 22 ===

--- TRAIN (ejecución 22) ---

--- TEST (ejecución 22) ---
2025-11-06 16:29:32.627159: 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`.
2025-11-06 16:29:32.638407: 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 00:00:1762442972.651331 1483297 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442972.655400 1483297 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442972.665269 1483297 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442972.665288 1483297 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442972.665290 1483297 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442972.665292 1483297 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:29:32.668391: 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:1.37831	validation-mlogloss:1.37803
[1]	train-mlogloss:1.37035	validation-mlogloss:1.36956
[2]	train-mlogloss:1.36246	validation-mlogloss:1.36126
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[8]	train-mlogloss:1.31813	validation-mlogloss:1.31489
[9]	train-mlogloss:1.31100	validation-mlogloss:1.30737
[10]	train-mlogloss:1.30408	validation-mlogloss:1.30022
[11]	train-mlogloss:1.29715	validation-mlogloss:1.29300
[12]	train-mlogloss:1.29026	validation-mlogloss:1.28574
[13]	train-mlogloss:1.28351	validation-mlogloss:1.27862
[14]	train-mlogloss:1.27684	validation-mlogloss:1.27166
[15]	train-mlogloss:1.27035	validation-mlogloss:1.26487
[16]	train-mlogloss:1.26380	validation-mlogloss:1.25794
[17]	train-mlogloss:1.25740	validation-mlogloss:1.25133
[18]	train-mlogloss:1.25108	validation-mlogloss:1.24466
[19]	train-mlogloss:1.24490	validation-mlogloss:1.23823
[20]	train-mlogloss:1.23875	validation-mlogloss:1.23168
[21]	train-mlogloss:1.23262	validation-mlogloss:1.22513
[22]	train-mlogloss:1.22657	validation-mlogloss:1.21862
[23]	train-mlogloss:1.22070	validation-mlogloss:1.21252
[24]	train-mlogloss:1.21484	validation-mlogloss:1.20626
[25]	train-mlogloss:1.20903	validation-mlogloss:1.20011
[26]	train-mlogloss:1.20336	validation-mlogloss:1.19412
[27]	train-mlogloss:1.19771	validation-mlogloss:1.18819
[28]	train-mlogloss:1.19217	validation-mlogloss:1.18219
[29]	train-mlogloss:1.18666	validation-mlogloss:1.17636
[30]	train-mlogloss:1.18122	validation-mlogloss:1.17065
[31]	train-mlogloss:1.17587	validation-mlogloss:1.16499
[32]	train-mlogloss:1.17062	validation-mlogloss:1.15941
[33]	train-mlogloss:1.16539	validation-mlogloss:1.15391
[34]	train-mlogloss:1.16019	validation-mlogloss:1.14842
[35]	train-mlogloss:1.15506	validation-mlogloss:1.14307
[36]	train-mlogloss:1.14998	validation-mlogloss:1.13774
[37]	train-mlogloss:1.14505	validation-mlogloss:1.13255
[38]	train-mlogloss:1.14006	validation-mlogloss:1.12737
[39]	train-mlogloss:1.13517	validation-mlogloss:1.12215
[40]	train-mlogloss:1.13016	validation-mlogloss:1.11690
[41]	train-mlogloss:1.12540	validation-mlogloss:1.11183
[42]	train-mlogloss:1.12064	validation-mlogloss:1.10682
[43]	train-mlogloss:1.11580	validation-mlogloss:1.10176
[44]	train-mlogloss:1.11099	validation-mlogloss:1.09672
[45]	train-mlogloss:1.10652	validation-mlogloss:1.09191
[46]	train-mlogloss:1.10200	validation-mlogloss:1.08714
[47]	train-mlogloss:1.09735	validation-mlogloss:1.08224
[48]	train-mlogloss:1.09279	validation-mlogloss:1.07740
[49]	train-mlogloss:1.08841	validation-mlogloss:1.07278
[50]	train-mlogloss:1.08392	validation-mlogloss:1.06810
[51]	train-mlogloss:1.07961	validation-mlogloss:1.06362
[52]	train-mlogloss:1.07538	validation-mlogloss:1.05908
[53]	train-mlogloss:1.07126	validation-mlogloss:1.05476
[54]	train-mlogloss:1.06698	validation-mlogloss:1.05027
[55]	train-mlogloss:1.06289	validation-mlogloss:1.04601
[56]	train-mlogloss:1.05887	validation-mlogloss:1.04181
[57]	train-mlogloss:1.05480	validation-mlogloss:1.03750
[58]	train-mlogloss:1.05068	validation-mlogloss:1.03323
[59]	train-mlogloss:1.04675	validation-mlogloss:1.02895
[60]	train-mlogloss:1.04274	validation-mlogloss:1.02483
[61]	train-mlogloss:1.03885	validation-mlogloss:1.02075
[62]	train-mlogloss:1.03499	validation-mlogloss:1.01673
[63]	train-mlogloss:1.03110	validation-mlogloss:1.01264
[64]	train-mlogloss:1.02722	validation-mlogloss:1.00864
[65]	train-mlogloss:1.02351	validation-mlogloss:1.00475
[66]	train-mlogloss:1.01975	validation-mlogloss:1.00078
[67]	train-mlogloss:1.01606	validation-mlogloss:0.99693
[68]	train-mlogloss:1.01243	validation-mlogloss:0.99320
[69]	train-mlogloss:1.00879	validation-mlogloss:0.98945
[70]	train-mlogloss:1.00520	validation-mlogloss:0.98569
[71]	train-mlogloss:1.00166	validation-mlogloss:0.98198
[72]	train-mlogloss:0.99821	validation-mlogloss:0.97839
[73]	train-mlogloss:0.99477	validation-mlogloss:0.97472
[74]	train-mlogloss:0.99143	validation-mlogloss:0.97111
[75]	train-mlogloss:0.98808	validation-mlogloss:0.96765
[76]	train-mlogloss:0.98464	validation-mlogloss:0.96397
[77]	train-mlogloss:0.98133	validation-mlogloss:0.96048
[78]	train-mlogloss:0.97805	validation-mlogloss:0.95700
[79]	train-mlogloss:0.97473	validation-mlogloss:0.95352
[80]	train-mlogloss:0.97149	validation-mlogloss:0.95017
[81]	train-mlogloss:0.96836	validation-mlogloss:0.94687
[82]	train-mlogloss:0.96518	validation-mlogloss:0.94355
[83]	train-mlogloss:0.96205	validation-mlogloss:0.94022
[84]	train-mlogloss:0.95896	validation-mlogloss:0.93690
[85]	train-mlogloss:0.95596	validation-mlogloss:0.93370
[86]	train-mlogloss:0.95289	validation-mlogloss:0.93050
[87]	train-mlogloss:0.94981	validation-mlogloss:0.92730
[88]	train-mlogloss:0.94682	validation-mlogloss:0.92412
[89]	train-mlogloss:0.94386	validation-mlogloss:0.92097
[90]	train-mlogloss:0.94078	validation-mlogloss:0.91769
[91]	train-mlogloss:0.93789	validation-mlogloss:0.91471
[92]	train-mlogloss:0.93501	validation-mlogloss:0.91171
[93]	train-mlogloss:0.93221	validation-mlogloss:0.90876
[94]	train-mlogloss:0.92928	validation-mlogloss:0.90568
[95]	train-mlogloss:0.92654	validation-mlogloss:0.90282
[96]	train-mlogloss:0.92376	validation-mlogloss:0.89999
[97]	train-mlogloss:0.92101	validation-mlogloss:0.89720
[98]	train-mlogloss:0.91833	validation-mlogloss:0.89438
[99]	train-mlogloss:0.91560	validation-mlogloss:0.89150
[100]	train-mlogloss:0.91298	validation-mlogloss:0.88872
[101]	train-mlogloss:0.91027	validation-mlogloss:0.88582
[102]	train-mlogloss:0.90766	validation-mlogloss:0.88300
[103]	train-mlogloss:0.90504	validation-mlogloss:0.88024
[104]	train-mlogloss:0.90238	validation-mlogloss:0.87738
[105]	train-mlogloss:0.89975	validation-mlogloss:0.87458
[106]	train-mlogloss:0.89724	validation-mlogloss:0.87193
[107]	train-mlogloss:0.89466	validation-mlogloss:0.86910
[108]	train-mlogloss:0.89213	validation-mlogloss:0.86640
[109]	train-mlogloss:0.88970	validation-mlogloss:0.86380
[110]	train-mlogloss:0.88728	validation-mlogloss:0.86128
[111]	train-mlogloss:0.88502	validation-mlogloss:0.85886
[112]	train-mlogloss:0.88256	validation-mlogloss:0.85624
[113]	train-mlogloss:0.88022	validation-mlogloss:0.85379
[114]	train-mlogloss:0.87780	validation-mlogloss:0.85115
[115]	train-mlogloss:0.87553	validation-mlogloss:0.84873
[116]	train-mlogloss:0.87319	validation-mlogloss:0.84625
[117]	train-mlogloss:0.87085	validation-mlogloss:0.84371
[118]	train-mlogloss:0.86859	validation-mlogloss:0.84134
[119]	train-mlogloss:0.86628	validation-mlogloss:0.83889
[120]	train-mlogloss:0.86395	validation-mlogloss:0.83632
[121]	train-mlogloss:0.86170	validation-mlogloss:0.83399
[122]	train-mlogloss:0.85944	validation-mlogloss:0.83155
[123]	train-mlogloss:0.85723	validation-mlogloss:0.82917
[124]	train-mlogloss:0.85515	validation-mlogloss:0.82698
[125]	train-mlogloss:0.85302	validation-mlogloss:0.82468
[126]	train-mlogloss:0.85089	validation-mlogloss:0.82242
[127]	train-mlogloss:0.84878	validation-mlogloss:0.82009
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[129]	train-mlogloss:0.84469	validation-mlogloss:0.81580
[130]	train-mlogloss:0.84275	validation-mlogloss:0.81369
[131]	train-mlogloss:0.84081	validation-mlogloss:0.81166
[132]	train-mlogloss:0.83887	validation-mlogloss:0.80954
[133]	train-mlogloss:0.83687	validation-mlogloss:0.80740
[134]	train-mlogloss:0.83495	validation-mlogloss:0.80541
[135]	train-mlogloss:0.83299	validation-mlogloss:0.80322
[136]	train-mlogloss:0.83103	validation-mlogloss:0.80110
[137]	train-mlogloss:0.82916	validation-mlogloss:0.79910
[138]	train-mlogloss:0.82737	validation-mlogloss:0.79717
[139]	train-mlogloss:0.82552	validation-mlogloss:0.79510
[140]	train-mlogloss:0.82365	validation-mlogloss:0.79311
[141]	train-mlogloss:0.82185	validation-mlogloss:0.79109
[142]	train-mlogloss:0.82000	validation-mlogloss:0.78915
[143]	train-mlogloss:0.81818	validation-mlogloss:0.78716
[144]	train-mlogloss:0.81646	validation-mlogloss:0.78536
[145]	train-mlogloss:0.81464	validation-mlogloss:0.78340
[146]	train-mlogloss:0.81279	validation-mlogloss:0.78134
[147]	train-mlogloss:0.81101	validation-mlogloss:0.77946
[148]	train-mlogloss:0.80937	validation-mlogloss:0.77776
[149]	train-mlogloss:0.80757	validation-mlogloss:0.77581
[150]	train-mlogloss:0.80582	validation-mlogloss:0.77390
[151]	train-mlogloss:0.80419	validation-mlogloss:0.77215
[152]	train-mlogloss:0.80258	validation-mlogloss:0.77039
[153]	train-mlogloss:0.80083	validation-mlogloss:0.76845
[154]	train-mlogloss:0.79919	validation-mlogloss:0.76664
[155]	train-mlogloss:0.79752	validation-mlogloss:0.76480
[156]	train-mlogloss:0.79592	validation-mlogloss:0.76310
[157]	train-mlogloss:0.79428	validation-mlogloss:0.76138
[158]	train-mlogloss:0.79273	validation-mlogloss:0.75976
[159]	train-mlogloss:0.79117	validation-mlogloss:0.75816
[160]	train-mlogloss:0.78968	validation-mlogloss:0.75668
[161]	train-mlogloss:0.78811	validation-mlogloss:0.75494
[162]	train-mlogloss:0.78648	validation-mlogloss:0.75316
[163]	train-mlogloss:0.78498	validation-mlogloss:0.75152
[164]	train-mlogloss:0.78354	validation-mlogloss:0.75000
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[353]	train-mlogloss:0.63617	validation-mlogloss:0.58549
[354]	train-mlogloss:0.63576	validation-mlogloss:0.58504
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[356]	train-mlogloss:0.63512	validation-mlogloss:0.58435
[357]	train-mlogloss:0.63477	validation-mlogloss:0.58393
[358]	train-mlogloss:0.63440	validation-mlogloss:0.58355
[359]	train-mlogloss:0.63401	validation-mlogloss:0.58315
[360]	train-mlogloss:0.63371	validation-mlogloss:0.58283
[361]	train-mlogloss:0.63333	validation-mlogloss:0.58245
[362]	train-mlogloss:0.63301	validation-mlogloss:0.58205
[363]	train-mlogloss:0.63269	validation-mlogloss:0.58166
[364]	train-mlogloss:0.63227	validation-mlogloss:0.58121
[365]	train-mlogloss:0.63199	validation-mlogloss:0.58090
[366]	train-mlogloss:0.63164	validation-mlogloss:0.58052
[367]	train-mlogloss:0.63127	validation-mlogloss:0.58008
[368]	train-mlogloss:0.63090	validation-mlogloss:0.57965
[369]	train-mlogloss:0.63067	validation-mlogloss:0.57932
[370]	train-mlogloss:0.63033	validation-mlogloss:0.57896
[371]	train-mlogloss:0.63007	validation-mlogloss:0.57867
[372]	train-mlogloss:0.62971	validation-mlogloss:0.57823
[373]	train-mlogloss:0.62943	validation-mlogloss:0.57792
[374]	train-mlogloss:0.62921	validation-mlogloss:0.57763
[375]	train-mlogloss:0.62885	validation-mlogloss:0.57723
[376]	train-mlogloss:0.62851	validation-mlogloss:0.57687
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[379]	train-mlogloss:0.62760	validation-mlogloss:0.57588
[380]	train-mlogloss:0.62737	validation-mlogloss:0.57561
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.84 [%]
Global accuracy score (test) = 78.94 [%]
Global F1 score (train) = 76.11 [%]
Global F1 score (test) = 79.65 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.62      0.68      0.65       350
MODERATE-INTENSITY       0.63      0.64      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.89      0.93       322

          accuracy                           0.79      1372
         macro avg       0.80      0.79      0.80      1372
      weighted avg       0.80      0.79      0.79      1372


Accuracy capturado en la ejecución 22: 78.94 [%]
F1-score capturado en la ejecución 22: 79.65 [%]

=== EJECUCIÓN 23 ===

--- TRAIN (ejecución 23) ---

--- TEST (ejecución 23) ---
2025-11-06 16:29:43.895160: 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`.
2025-11-06 16:29:43.906373: 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 00:00:1762442983.919272 1483552 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442983.923311 1483552 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442983.933091 1483552 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442983.933110 1483552 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442983.933112 1483552 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442983.933120 1483552 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:29:43.936213: 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)
Training a non-convolutional model.
[0]	train-mlogloss:1.37818	validation-mlogloss:1.37774
[1]	train-mlogloss:1.37021	validation-mlogloss:1.36939
[2]	train-mlogloss:1.36235	validation-mlogloss:1.36118
[3]	train-mlogloss:1.35454	validation-mlogloss:1.35301
[4]	train-mlogloss:1.34685	validation-mlogloss:1.34487
[5]	train-mlogloss:1.33931	validation-mlogloss:1.33688
[6]	train-mlogloss:1.33186	validation-mlogloss:1.32900
[7]	train-mlogloss:1.32446	validation-mlogloss:1.32122
[8]	train-mlogloss:1.31712	validation-mlogloss:1.31356
[9]	train-mlogloss:1.30990	validation-mlogloss:1.30588
[10]	train-mlogloss:1.30283	validation-mlogloss:1.29851
[11]	train-mlogloss:1.29595	validation-mlogloss:1.29124
[12]	train-mlogloss:1.28925	validation-mlogloss:1.28421
[13]	train-mlogloss:1.28251	validation-mlogloss:1.27705
[14]	train-mlogloss:1.27588	validation-mlogloss:1.27011
[15]	train-mlogloss:1.26940	validation-mlogloss:1.26320
[16]	train-mlogloss:1.26291	validation-mlogloss:1.25630
[17]	train-mlogloss:1.25656	validation-mlogloss:1.24967
[18]	train-mlogloss:1.25022	validation-mlogloss:1.24287
[19]	train-mlogloss:1.24392	validation-mlogloss:1.23626
[20]	train-mlogloss:1.23773	validation-mlogloss:1.22969
[21]	train-mlogloss:1.23164	validation-mlogloss:1.22324
[22]	train-mlogloss:1.22558	validation-mlogloss:1.21692
[23]	train-mlogloss:1.21964	validation-mlogloss:1.21061
[24]	train-mlogloss:1.21368	validation-mlogloss:1.20422
[25]	train-mlogloss:1.20787	validation-mlogloss:1.19793
[26]	train-mlogloss:1.20210	validation-mlogloss:1.19179
[27]	train-mlogloss:1.19650	validation-mlogloss:1.18593
[28]	train-mlogloss:1.19092	validation-mlogloss:1.18000
[29]	train-mlogloss:1.18538	validation-mlogloss:1.17405
[30]	train-mlogloss:1.17990	validation-mlogloss:1.16828
[31]	train-mlogloss:1.17449	validation-mlogloss:1.16247
[32]	train-mlogloss:1.16923	validation-mlogloss:1.15683
[33]	train-mlogloss:1.16394	validation-mlogloss:1.15115
[34]	train-mlogloss:1.15858	validation-mlogloss:1.14560
[35]	train-mlogloss:1.15339	validation-mlogloss:1.14017
[36]	train-mlogloss:1.14839	validation-mlogloss:1.13486
[37]	train-mlogloss:1.14320	validation-mlogloss:1.12944
[38]	train-mlogloss:1.13817	validation-mlogloss:1.12410
[39]	train-mlogloss:1.13315	validation-mlogloss:1.11904
[40]	train-mlogloss:1.12830	validation-mlogloss:1.11386
[41]	train-mlogloss:1.12349	validation-mlogloss:1.10877
[42]	train-mlogloss:1.11867	validation-mlogloss:1.10387
[43]	train-mlogloss:1.11381	validation-mlogloss:1.09884
[44]	train-mlogloss:1.10915	validation-mlogloss:1.09386
[45]	train-mlogloss:1.10442	validation-mlogloss:1.08900
[46]	train-mlogloss:1.09979	validation-mlogloss:1.08424
[47]	train-mlogloss:1.09530	validation-mlogloss:1.07943
[48]	train-mlogloss:1.09090	validation-mlogloss:1.07474
[49]	train-mlogloss:1.08634	validation-mlogloss:1.06996
[50]	train-mlogloss:1.08186	validation-mlogloss:1.06541
[51]	train-mlogloss:1.07745	validation-mlogloss:1.06083
[52]	train-mlogloss:1.07307	validation-mlogloss:1.05621
[53]	train-mlogloss:1.06876	validation-mlogloss:1.05180
[54]	train-mlogloss:1.06454	validation-mlogloss:1.04735
[55]	train-mlogloss:1.06045	validation-mlogloss:1.04295
[56]	train-mlogloss:1.05635	validation-mlogloss:1.03876
[57]	train-mlogloss:1.05193	validation-mlogloss:1.03401
[58]	train-mlogloss:1.04784	validation-mlogloss:1.02971
[59]	train-mlogloss:1.04379	validation-mlogloss:1.02550
[60]	train-mlogloss:1.03979	validation-mlogloss:1.02126
[61]	train-mlogloss:1.03583	validation-mlogloss:1.01708
[62]	train-mlogloss:1.03200	validation-mlogloss:1.01295
[63]	train-mlogloss:1.02807	validation-mlogloss:1.00886
[64]	train-mlogloss:1.02424	validation-mlogloss:1.00490
[65]	train-mlogloss:1.02059	validation-mlogloss:1.00091
[66]	train-mlogloss:1.01686	validation-mlogloss:0.99687
[67]	train-mlogloss:1.01312	validation-mlogloss:0.99297
[68]	train-mlogloss:1.00955	validation-mlogloss:0.98933
[69]	train-mlogloss:1.00597	validation-mlogloss:0.98561
[70]	train-mlogloss:1.00242	validation-mlogloss:0.98183
[71]	train-mlogloss:0.99887	validation-mlogloss:0.97810
[72]	train-mlogloss:0.99540	validation-mlogloss:0.97444
[73]	train-mlogloss:0.99191	validation-mlogloss:0.97074
[74]	train-mlogloss:0.98848	validation-mlogloss:0.96711
[75]	train-mlogloss:0.98509	validation-mlogloss:0.96352
[76]	train-mlogloss:0.98169	validation-mlogloss:0.95996
[77]	train-mlogloss:0.97841	validation-mlogloss:0.95655
[78]	train-mlogloss:0.97510	validation-mlogloss:0.95296
[79]	train-mlogloss:0.97178	validation-mlogloss:0.94942
[80]	train-mlogloss:0.96860	validation-mlogloss:0.94616
[81]	train-mlogloss:0.96542	validation-mlogloss:0.94273
[82]	train-mlogloss:0.96226	validation-mlogloss:0.93939
[83]	train-mlogloss:0.95916	validation-mlogloss:0.93610
[84]	train-mlogloss:0.95595	validation-mlogloss:0.93269
[85]	train-mlogloss:0.95290	validation-mlogloss:0.92946
[86]	train-mlogloss:0.94985	validation-mlogloss:0.92622
[87]	train-mlogloss:0.94686	validation-mlogloss:0.92319
[88]	train-mlogloss:0.94391	validation-mlogloss:0.92004
[89]	train-mlogloss:0.94099	validation-mlogloss:0.91698
[90]	train-mlogloss:0.93807	validation-mlogloss:0.91387
[91]	train-mlogloss:0.93524	validation-mlogloss:0.91077
[92]	train-mlogloss:0.93237	validation-mlogloss:0.90774
[93]	train-mlogloss:0.92963	validation-mlogloss:0.90475
[94]	train-mlogloss:0.92663	validation-mlogloss:0.90159
[95]	train-mlogloss:0.92383	validation-mlogloss:0.89861
[96]	train-mlogloss:0.92109	validation-mlogloss:0.89567
[97]	train-mlogloss:0.91836	validation-mlogloss:0.89281
[98]	train-mlogloss:0.91565	validation-mlogloss:0.88987
[99]	train-mlogloss:0.91297	validation-mlogloss:0.88697
[100]	train-mlogloss:0.91038	validation-mlogloss:0.88426
[101]	train-mlogloss:0.90774	validation-mlogloss:0.88149
[102]	train-mlogloss:0.90492	validation-mlogloss:0.87845
[103]	train-mlogloss:0.90227	validation-mlogloss:0.87576
[104]	train-mlogloss:0.89965	validation-mlogloss:0.87291
[105]	train-mlogloss:0.89710	validation-mlogloss:0.87017
[106]	train-mlogloss:0.89461	validation-mlogloss:0.86757
[107]	train-mlogloss:0.89198	validation-mlogloss:0.86472
[108]	train-mlogloss:0.88937	validation-mlogloss:0.86181
[109]	train-mlogloss:0.88683	validation-mlogloss:0.85906
[110]	train-mlogloss:0.88443	validation-mlogloss:0.85645
[111]	train-mlogloss:0.88207	validation-mlogloss:0.85393
[112]	train-mlogloss:0.87977	validation-mlogloss:0.85140
[113]	train-mlogloss:0.87732	validation-mlogloss:0.84874
[114]	train-mlogloss:0.87489	validation-mlogloss:0.84613
[115]	train-mlogloss:0.87252	validation-mlogloss:0.84352
[116]	train-mlogloss:0.87027	validation-mlogloss:0.84107
[117]	train-mlogloss:0.86796	validation-mlogloss:0.83839
[118]	train-mlogloss:0.86577	validation-mlogloss:0.83606
[119]	train-mlogloss:0.86354	validation-mlogloss:0.83369
[120]	train-mlogloss:0.86128	validation-mlogloss:0.83126
[121]	train-mlogloss:0.85909	validation-mlogloss:0.82898
[122]	train-mlogloss:0.85681	validation-mlogloss:0.82641
[123]	train-mlogloss:0.85460	validation-mlogloss:0.82399
[124]	train-mlogloss:0.85242	validation-mlogloss:0.82156
[125]	train-mlogloss:0.85036	validation-mlogloss:0.81934
[126]	train-mlogloss:0.84832	validation-mlogloss:0.81713
[127]	train-mlogloss:0.84617	validation-mlogloss:0.81484
[128]	train-mlogloss:0.84393	validation-mlogloss:0.81236
[129]	train-mlogloss:0.84182	validation-mlogloss:0.81000
[130]	train-mlogloss:0.83970	validation-mlogloss:0.80764
[131]	train-mlogloss:0.83764	validation-mlogloss:0.80537
[132]	train-mlogloss:0.83560	validation-mlogloss:0.80311
[133]	train-mlogloss:0.83356	validation-mlogloss:0.80084
[134]	train-mlogloss:0.83152	validation-mlogloss:0.79857
[135]	train-mlogloss:0.82956	validation-mlogloss:0.79649
[136]	train-mlogloss:0.82757	validation-mlogloss:0.79433
[137]	train-mlogloss:0.82564	validation-mlogloss:0.79223
[138]	train-mlogloss:0.82381	validation-mlogloss:0.79019
[139]	train-mlogloss:0.82201	validation-mlogloss:0.78821
[140]	train-mlogloss:0.82019	validation-mlogloss:0.78629
[141]	train-mlogloss:0.81844	validation-mlogloss:0.78437
[142]	train-mlogloss:0.81662	validation-mlogloss:0.78244
[143]	train-mlogloss:0.81488	validation-mlogloss:0.78058
[144]	train-mlogloss:0.81317	validation-mlogloss:0.77873
[145]	train-mlogloss:0.81144	validation-mlogloss:0.77683
[146]	train-mlogloss:0.80961	validation-mlogloss:0.77480
[147]	train-mlogloss:0.80775	validation-mlogloss:0.77265
[148]	train-mlogloss:0.80593	validation-mlogloss:0.77066
[149]	train-mlogloss:0.80423	validation-mlogloss:0.76875
[150]	train-mlogloss:0.80253	validation-mlogloss:0.76682
[151]	train-mlogloss:0.80076	validation-mlogloss:0.76487
[152]	train-mlogloss:0.79912	validation-mlogloss:0.76309
[153]	train-mlogloss:0.79746	validation-mlogloss:0.76127
[154]	train-mlogloss:0.79589	validation-mlogloss:0.75951
[155]	train-mlogloss:0.79428	validation-mlogloss:0.75775
[156]	train-mlogloss:0.79264	validation-mlogloss:0.75585
[157]	train-mlogloss:0.79111	validation-mlogloss:0.75410
[158]	train-mlogloss:0.78944	validation-mlogloss:0.75227
[159]	train-mlogloss:0.78788	validation-mlogloss:0.75056
[160]	train-mlogloss:0.78629	validation-mlogloss:0.74880
[161]	train-mlogloss:0.78478	validation-mlogloss:0.74710
[162]	train-mlogloss:0.78315	validation-mlogloss:0.74524
[163]	train-mlogloss:0.78171	validation-mlogloss:0.74369
[164]	train-mlogloss:0.78024	validation-mlogloss:0.74204
[165]	train-mlogloss:0.77872	validation-mlogloss:0.74032
[166]	train-mlogloss:0.77715	validation-mlogloss:0.73864
[167]	train-mlogloss:0.77573	validation-mlogloss:0.73702
[168]	train-mlogloss:0.77429	validation-mlogloss:0.73537
[169]	train-mlogloss:0.77277	validation-mlogloss:0.73359
[170]	train-mlogloss:0.77144	validation-mlogloss:0.73214
[171]	train-mlogloss:0.77002	validation-mlogloss:0.73045
[172]	train-mlogloss:0.76857	validation-mlogloss:0.72886
[173]	train-mlogloss:0.76721	validation-mlogloss:0.72738
[174]	train-mlogloss:0.76589	validation-mlogloss:0.72595
[175]	train-mlogloss:0.76446	validation-mlogloss:0.72432
[176]	train-mlogloss:0.76305	validation-mlogloss:0.72275
[177]	train-mlogloss:0.76169	validation-mlogloss:0.72118
[178]	train-mlogloss:0.76039	validation-mlogloss:0.71976
[179]	train-mlogloss:0.75901	validation-mlogloss:0.71811
[180]	train-mlogloss:0.75770	validation-mlogloss:0.71665
[181]	train-mlogloss:0.75634	validation-mlogloss:0.71513
[182]	train-mlogloss:0.75503	validation-mlogloss:0.71368
[183]	train-mlogloss:0.75384	validation-mlogloss:0.71230
[184]	train-mlogloss:0.75257	validation-mlogloss:0.71093
[185]	train-mlogloss:0.75128	validation-mlogloss:0.70951
[186]	train-mlogloss:0.74996	validation-mlogloss:0.70805
[187]	train-mlogloss:0.74869	validation-mlogloss:0.70664
[188]	train-mlogloss:0.74745	validation-mlogloss:0.70531
[189]	train-mlogloss:0.74608	validation-mlogloss:0.70377
[190]	train-mlogloss:0.74488	validation-mlogloss:0.70238
[191]	train-mlogloss:0.74362	validation-mlogloss:0.70096
[192]	train-mlogloss:0.74251	validation-mlogloss:0.69976
[193]	train-mlogloss:0.74131	validation-mlogloss:0.69842
[194]	train-mlogloss:0.74012	validation-mlogloss:0.69705
[195]	train-mlogloss:0.73899	validation-mlogloss:0.69575
[196]	train-mlogloss:0.73777	validation-mlogloss:0.69435
[197]	train-mlogloss:0.73658	validation-mlogloss:0.69302
[198]	train-mlogloss:0.73547	validation-mlogloss:0.69177
[199]	train-mlogloss:0.73442	validation-mlogloss:0.69057
[200]	train-mlogloss:0.73335	validation-mlogloss:0.68943
[201]	train-mlogloss:0.73229	validation-mlogloss:0.68827
[202]	train-mlogloss:0.73115	validation-mlogloss:0.68695
[203]	train-mlogloss:0.72993	validation-mlogloss:0.68560
[204]	train-mlogloss:0.72889	validation-mlogloss:0.68441
[205]	train-mlogloss:0.72779	validation-mlogloss:0.68309
[206]	train-mlogloss:0.72669	validation-mlogloss:0.68177
[207]	train-mlogloss:0.72565	validation-mlogloss:0.68054
[208]	train-mlogloss:0.72464	validation-mlogloss:0.67939
[209]	train-mlogloss:0.72358	validation-mlogloss:0.67818
[210]	train-mlogloss:0.72254	validation-mlogloss:0.67704
[211]	train-mlogloss:0.72148	validation-mlogloss:0.67584
[212]	train-mlogloss:0.72046	validation-mlogloss:0.67468
[213]	train-mlogloss:0.71942	validation-mlogloss:0.67341
[214]	train-mlogloss:0.71843	validation-mlogloss:0.67218
[215]	train-mlogloss:0.71734	validation-mlogloss:0.67096
[216]	train-mlogloss:0.71635	validation-mlogloss:0.66982
[217]	train-mlogloss:0.71528	validation-mlogloss:0.66859
[218]	train-mlogloss:0.71430	validation-mlogloss:0.66743
[219]	train-mlogloss:0.71332	validation-mlogloss:0.66629
[220]	train-mlogloss:0.71220	validation-mlogloss:0.66511
[221]	train-mlogloss:0.71123	validation-mlogloss:0.66406
[222]	train-mlogloss:0.71025	validation-mlogloss:0.66294
[223]	train-mlogloss:0.70934	validation-mlogloss:0.66190
[224]	train-mlogloss:0.70843	validation-mlogloss:0.66087
[225]	train-mlogloss:0.70750	validation-mlogloss:0.65975
[226]	train-mlogloss:0.70654	validation-mlogloss:0.65870
[227]	train-mlogloss:0.70563	validation-mlogloss:0.65764
[228]	train-mlogloss:0.70467	validation-mlogloss:0.65652
[229]	train-mlogloss:0.70376	validation-mlogloss:0.65547
[230]	train-mlogloss:0.70288	validation-mlogloss:0.65445
[231]	train-mlogloss:0.70199	validation-mlogloss:0.65342
[232]	train-mlogloss:0.70105	validation-mlogloss:0.65239
[233]	train-mlogloss:0.70020	validation-mlogloss:0.65139
[234]	train-mlogloss:0.69937	validation-mlogloss:0.65044
[235]	train-mlogloss:0.69841	validation-mlogloss:0.64939
[236]	train-mlogloss:0.69749	validation-mlogloss:0.64838
[237]	train-mlogloss:0.69671	validation-mlogloss:0.64745
[238]	train-mlogloss:0.69579	validation-mlogloss:0.64635
[239]	train-mlogloss:0.69497	validation-mlogloss:0.64539
[240]	train-mlogloss:0.69413	validation-mlogloss:0.64442
[241]	train-mlogloss:0.69334	validation-mlogloss:0.64349
[242]	train-mlogloss:0.69253	validation-mlogloss:0.64253
[243]	train-mlogloss:0.69170	validation-mlogloss:0.64157
[244]	train-mlogloss:0.69092	validation-mlogloss:0.64065
[245]	train-mlogloss:0.69017	validation-mlogloss:0.63978
[246]	train-mlogloss:0.68934	validation-mlogloss:0.63879
[247]	train-mlogloss:0.68866	validation-mlogloss:0.63802
[248]	train-mlogloss:0.68788	validation-mlogloss:0.63705
[249]	train-mlogloss:0.68712	validation-mlogloss:0.63624
[250]	train-mlogloss:0.68637	validation-mlogloss:0.63538
[251]	train-mlogloss:0.68569	validation-mlogloss:0.63459
[252]	train-mlogloss:0.68498	validation-mlogloss:0.63367
[253]	train-mlogloss:0.68425	validation-mlogloss:0.63288
[254]	train-mlogloss:0.68354	validation-mlogloss:0.63204
[255]	train-mlogloss:0.68272	validation-mlogloss:0.63110
[256]	train-mlogloss:0.68195	validation-mlogloss:0.63019
[257]	train-mlogloss:0.68125	validation-mlogloss:0.62941
[258]	train-mlogloss:0.68057	validation-mlogloss:0.62868
[259]	train-mlogloss:0.67988	validation-mlogloss:0.62788
[260]	train-mlogloss:0.67915	validation-mlogloss:0.62703
[261]	train-mlogloss:0.67841	validation-mlogloss:0.62618
[262]	train-mlogloss:0.67775	validation-mlogloss:0.62540
[263]	train-mlogloss:0.67704	validation-mlogloss:0.62461
[264]	train-mlogloss:0.67631	validation-mlogloss:0.62383
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[267]	train-mlogloss:0.67427	validation-mlogloss:0.62142
[268]	train-mlogloss:0.67356	validation-mlogloss:0.62056
[269]	train-mlogloss:0.67285	validation-mlogloss:0.61975
[270]	train-mlogloss:0.67228	validation-mlogloss:0.61902
[271]	train-mlogloss:0.67154	validation-mlogloss:0.61819
[272]	train-mlogloss:0.67086	validation-mlogloss:0.61739
[273]	train-mlogloss:0.67020	validation-mlogloss:0.61666
[274]	train-mlogloss:0.66953	validation-mlogloss:0.61588
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[276]	train-mlogloss:0.66835	validation-mlogloss:0.61448
[277]	train-mlogloss:0.66777	validation-mlogloss:0.61382
[278]	train-mlogloss:0.66722	validation-mlogloss:0.61320
[279]	train-mlogloss:0.66658	validation-mlogloss:0.61252
[280]	train-mlogloss:0.66596	validation-mlogloss:0.61177
[281]	train-mlogloss:0.66535	validation-mlogloss:0.61107
[282]	train-mlogloss:0.66475	validation-mlogloss:0.61041
[283]	train-mlogloss:0.66411	validation-mlogloss:0.60965
[284]	train-mlogloss:0.66356	validation-mlogloss:0.60895
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[286]	train-mlogloss:0.66263	validation-mlogloss:0.60786
[287]	train-mlogloss:0.66199	validation-mlogloss:0.60709
[288]	train-mlogloss:0.66143	validation-mlogloss:0.60636
[289]	train-mlogloss:0.66073	validation-mlogloss:0.60564
[290]	train-mlogloss:0.66008	validation-mlogloss:0.60487
[291]	train-mlogloss:0.65940	validation-mlogloss:0.60410
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[294]	train-mlogloss:0.65765	validation-mlogloss:0.60203
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[296]	train-mlogloss:0.65658	validation-mlogloss:0.60079
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[299]	train-mlogloss:0.65495	validation-mlogloss:0.59885
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[302]	train-mlogloss:0.65329	validation-mlogloss:0.59681
[303]	train-mlogloss:0.65276	validation-mlogloss:0.59618
[304]	train-mlogloss:0.65221	validation-mlogloss:0.59554
[305]	train-mlogloss:0.65170	validation-mlogloss:0.59497
[306]	train-mlogloss:0.65122	validation-mlogloss:0.59446
[307]	train-mlogloss:0.65067	validation-mlogloss:0.59380
[308]	train-mlogloss:0.65023	validation-mlogloss:0.59332
[309]	train-mlogloss:0.64968	validation-mlogloss:0.59266
[310]	train-mlogloss:0.64924	validation-mlogloss:0.59210
[311]	train-mlogloss:0.64878	validation-mlogloss:0.59155
[312]	train-mlogloss:0.64829	validation-mlogloss:0.59097
[313]	train-mlogloss:0.64777	validation-mlogloss:0.59039
[314]	train-mlogloss:0.64732	validation-mlogloss:0.58986
[315]	train-mlogloss:0.64687	validation-mlogloss:0.58932
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[317]	train-mlogloss:0.64591	validation-mlogloss:0.58819
[318]	train-mlogloss:0.64538	validation-mlogloss:0.58752
[319]	train-mlogloss:0.64483	validation-mlogloss:0.58690
[320]	train-mlogloss:0.64433	validation-mlogloss:0.58630
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[325]	train-mlogloss:0.64190	validation-mlogloss:0.58343
[326]	train-mlogloss:0.64144	validation-mlogloss:0.58292
[327]	train-mlogloss:0.64090	validation-mlogloss:0.58232
[328]	train-mlogloss:0.64044	validation-mlogloss:0.58172
[329]	train-mlogloss:0.64000	validation-mlogloss:0.58121
[330]	train-mlogloss:0.63964	validation-mlogloss:0.58076
[331]	train-mlogloss:0.63927	validation-mlogloss:0.58035
[332]	train-mlogloss:0.63884	validation-mlogloss:0.57985
[333]	train-mlogloss:0.63842	validation-mlogloss:0.57932
[334]	train-mlogloss:0.63800	validation-mlogloss:0.57878
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[336]	train-mlogloss:0.63716	validation-mlogloss:0.57776
[337]	train-mlogloss:0.63679	validation-mlogloss:0.57733
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[341]	train-mlogloss:0.63521	validation-mlogloss:0.57535
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[343]	train-mlogloss:0.63435	validation-mlogloss:0.57430
[344]	train-mlogloss:0.63397	validation-mlogloss:0.57388
[345]	train-mlogloss:0.63355	validation-mlogloss:0.57340
[346]	train-mlogloss:0.63313	validation-mlogloss:0.57288
[347]	train-mlogloss:0.63268	validation-mlogloss:0.57238
[348]	train-mlogloss:0.63225	validation-mlogloss:0.57187
[349]	train-mlogloss:0.63187	validation-mlogloss:0.57144
[350]	train-mlogloss:0.63150	validation-mlogloss:0.57101
[351]	train-mlogloss:0.63111	validation-mlogloss:0.57053
[352]	train-mlogloss:0.63066	validation-mlogloss:0.56998
[353]	train-mlogloss:0.63031	validation-mlogloss:0.56956
[354]	train-mlogloss:0.62989	validation-mlogloss:0.56906
[355]	train-mlogloss:0.62946	validation-mlogloss:0.56855
[356]	train-mlogloss:0.62910	validation-mlogloss:0.56816
[357]	train-mlogloss:0.62876	validation-mlogloss:0.56780
[358]	train-mlogloss:0.62837	validation-mlogloss:0.56731
[359]	train-mlogloss:0.62804	validation-mlogloss:0.56691
[360]	train-mlogloss:0.62770	validation-mlogloss:0.56651
[361]	train-mlogloss:0.62736	validation-mlogloss:0.56611
[362]	train-mlogloss:0.62697	validation-mlogloss:0.56567
[363]	train-mlogloss:0.62662	validation-mlogloss:0.56522
[364]	train-mlogloss:0.62627	validation-mlogloss:0.56481
[365]	train-mlogloss:0.62598	validation-mlogloss:0.56440
[366]	train-mlogloss:0.62562	validation-mlogloss:0.56401
[367]	train-mlogloss:0.62525	validation-mlogloss:0.56354
[368]	train-mlogloss:0.62494	validation-mlogloss:0.56324
[369]	train-mlogloss:0.62460	validation-mlogloss:0.56282
[370]	train-mlogloss:0.62430	validation-mlogloss:0.56244
[371]	train-mlogloss:0.62411	validation-mlogloss:0.56218
[372]	train-mlogloss:0.62379	validation-mlogloss:0.56178
[373]	train-mlogloss:0.62344	validation-mlogloss:0.56139
[374]	train-mlogloss:0.62310	validation-mlogloss:0.56098
[375]	train-mlogloss:0.62281	validation-mlogloss:0.56069
[376]	train-mlogloss:0.62249	validation-mlogloss:0.56033
[377]	train-mlogloss:0.62221	validation-mlogloss:0.56003
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[379]	train-mlogloss:0.62170	validation-mlogloss:0.55942
[380]	train-mlogloss:0.62147	validation-mlogloss:0.55912
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 2 ... 1 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.71 [%]
Global accuracy score (test) = 76.97 [%]
Global F1 score (train) = 74.65 [%]
Global F1 score (test) = 77.58 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.63      0.52      0.57       350
MODERATE-INTENSITY       0.57      0.73      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.79      0.77      0.78      1372
      weighted avg       0.78      0.77      0.77      1372


Accuracy capturado en la ejecución 23: 76.97 [%]
F1-score capturado en la ejecución 23: 77.58 [%]

=== EJECUCIÓN 24 ===

--- TRAIN (ejecución 24) ---

--- TEST (ejecución 24) ---
2025-11-06 16:29:55.061472: 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`.
2025-11-06 16:29:55.072909: 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 00:00:1762442995.085831 1483807 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762442995.089984 1483807 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762442995.099770 1483807 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442995.099790 1483807 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442995.099799 1483807 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762442995.099801 1483807 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:29:55.102930: 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:1.37827	validation-mlogloss:1.37799
[1]	train-mlogloss:1.37039	validation-mlogloss:1.36991
[2]	train-mlogloss:1.36251	validation-mlogloss:1.36173
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[10]	train-mlogloss:1.30372	validation-mlogloss:1.30008
[11]	train-mlogloss:1.29673	validation-mlogloss:1.29294
[12]	train-mlogloss:1.28985	validation-mlogloss:1.28565
[13]	train-mlogloss:1.28309	validation-mlogloss:1.27864
[14]	train-mlogloss:1.27648	validation-mlogloss:1.27181
[15]	train-mlogloss:1.26998	validation-mlogloss:1.26512
[16]	train-mlogloss:1.26346	validation-mlogloss:1.25833
[17]	train-mlogloss:1.25705	validation-mlogloss:1.25176
[18]	train-mlogloss:1.25070	validation-mlogloss:1.24517
[19]	train-mlogloss:1.24442	validation-mlogloss:1.23853
[20]	train-mlogloss:1.23821	validation-mlogloss:1.23198
[21]	train-mlogloss:1.23211	validation-mlogloss:1.22557
[22]	train-mlogloss:1.22610	validation-mlogloss:1.21918
[23]	train-mlogloss:1.22026	validation-mlogloss:1.21319
[24]	train-mlogloss:1.21440	validation-mlogloss:1.20702
[25]	train-mlogloss:1.20860	validation-mlogloss:1.20090
[26]	train-mlogloss:1.20287	validation-mlogloss:1.19486
[27]	train-mlogloss:1.19719	validation-mlogloss:1.18893
[28]	train-mlogloss:1.19159	validation-mlogloss:1.18305
[29]	train-mlogloss:1.18610	validation-mlogloss:1.17727
[30]	train-mlogloss:1.18069	validation-mlogloss:1.17150
[31]	train-mlogloss:1.17530	validation-mlogloss:1.16582
[32]	train-mlogloss:1.16996	validation-mlogloss:1.16016
[33]	train-mlogloss:1.16470	validation-mlogloss:1.15461
[34]	train-mlogloss:1.15959	validation-mlogloss:1.14927
[35]	train-mlogloss:1.15447	validation-mlogloss:1.14400
[36]	train-mlogloss:1.14933	validation-mlogloss:1.13868
[37]	train-mlogloss:1.14436	validation-mlogloss:1.13342
[38]	train-mlogloss:1.13943	validation-mlogloss:1.12828
[39]	train-mlogloss:1.13462	validation-mlogloss:1.12330
[40]	train-mlogloss:1.12981	validation-mlogloss:1.11831
[41]	train-mlogloss:1.12496	validation-mlogloss:1.11313
[42]	train-mlogloss:1.12006	validation-mlogloss:1.10812
[43]	train-mlogloss:1.11538	validation-mlogloss:1.10307
[44]	train-mlogloss:1.11069	validation-mlogloss:1.09807
[45]	train-mlogloss:1.10611	validation-mlogloss:1.09317
[46]	train-mlogloss:1.10156	validation-mlogloss:1.08827
[47]	train-mlogloss:1.09708	validation-mlogloss:1.08346
[48]	train-mlogloss:1.09252	validation-mlogloss:1.07864
[49]	train-mlogloss:1.08792	validation-mlogloss:1.07393
[50]	train-mlogloss:1.08351	validation-mlogloss:1.06935
[51]	train-mlogloss:1.07920	validation-mlogloss:1.06497
[52]	train-mlogloss:1.07483	validation-mlogloss:1.06040
[53]	train-mlogloss:1.07070	validation-mlogloss:1.05607
[54]	train-mlogloss:1.06643	validation-mlogloss:1.05173
[55]	train-mlogloss:1.06230	validation-mlogloss:1.04725
[56]	train-mlogloss:1.05813	validation-mlogloss:1.04294
[57]	train-mlogloss:1.05396	validation-mlogloss:1.03856
[58]	train-mlogloss:1.04985	validation-mlogloss:1.03420
[59]	train-mlogloss:1.04579	validation-mlogloss:1.02992
[60]	train-mlogloss:1.04173	validation-mlogloss:1.02571
[61]	train-mlogloss:1.03768	validation-mlogloss:1.02151
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[362]	train-mlogloss:0.62954	validation-mlogloss:0.57823
[363]	train-mlogloss:0.62924	validation-mlogloss:0.57791
[364]	train-mlogloss:0.62890	validation-mlogloss:0.57756
[365]	train-mlogloss:0.62856	validation-mlogloss:0.57717
[366]	train-mlogloss:0.62823	validation-mlogloss:0.57680
[367]	train-mlogloss:0.62791	validation-mlogloss:0.57644
[368]	train-mlogloss:0.62757	validation-mlogloss:0.57604
[369]	train-mlogloss:0.62729	validation-mlogloss:0.57570
[370]	train-mlogloss:0.62706	validation-mlogloss:0.57539
[371]	train-mlogloss:0.62676	validation-mlogloss:0.57505
[372]	train-mlogloss:0.62646	validation-mlogloss:0.57471
[373]	train-mlogloss:0.62615	validation-mlogloss:0.57437
[374]	train-mlogloss:0.62580	validation-mlogloss:0.57396
[375]	train-mlogloss:0.62554	validation-mlogloss:0.57368
[376]	train-mlogloss:0.62526	validation-mlogloss:0.57337
[377]	train-mlogloss:0.62491	validation-mlogloss:0.57294
[378]	train-mlogloss:0.62469	validation-mlogloss:0.57267
[379]	train-mlogloss:0.62440	validation-mlogloss:0.57230
[380]	train-mlogloss:0.62420	validation-mlogloss:0.57208
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[1 2 1 ... 1 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.38 [%]
Global accuracy score (test) = 76.9 [%]
Global F1 score (train) = 75.53 [%]
Global F1 score (test) = 77.68 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.63      0.61       350
MODERATE-INTENSITY       0.58      0.60      0.59       350
         SEDENTARY       0.99      0.96      0.97       350
VIGOROUS-INTENSITY       0.98      0.90      0.94       322

          accuracy                           0.77      1372
         macro avg       0.78      0.77      0.78      1372
      weighted avg       0.78      0.77      0.77      1372


Accuracy capturado en la ejecución 24: 76.9 [%]
F1-score capturado en la ejecución 24: 77.68 [%]

=== EJECUCIÓN 25 ===

--- TRAIN (ejecución 25) ---

--- TEST (ejecución 25) ---
2025-11-06 16:30:06.506573: 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`.
2025-11-06 16:30:06.518056: 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 00:00:1762443006.531186 1484097 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762443006.535298 1484097 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762443006.545195 1484097 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443006.545213 1484097 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443006.545215 1484097 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443006.545217 1484097 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:30:06.548424: 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:1.37813	validation-mlogloss:1.37775
[1]	train-mlogloss:1.37015	validation-mlogloss:1.36953
[2]	train-mlogloss:1.36219	validation-mlogloss:1.36117
[3]	train-mlogloss:1.35434	validation-mlogloss:1.35303
[4]	train-mlogloss:1.34662	validation-mlogloss:1.34488
[5]	train-mlogloss:1.33916	validation-mlogloss:1.33715
[6]	train-mlogloss:1.33166	validation-mlogloss:1.32931
[7]	train-mlogloss:1.32443	validation-mlogloss:1.32171
[8]	train-mlogloss:1.31719	validation-mlogloss:1.31423
[9]	train-mlogloss:1.30995	validation-mlogloss:1.30664
[10]	train-mlogloss:1.30289	validation-mlogloss:1.29918
[11]	train-mlogloss:1.29594	validation-mlogloss:1.29185
[12]	train-mlogloss:1.28898	validation-mlogloss:1.28457
[13]	train-mlogloss:1.28218	validation-mlogloss:1.27748
[14]	train-mlogloss:1.27566	validation-mlogloss:1.27066
[15]	train-mlogloss:1.26900	validation-mlogloss:1.26365
[16]	train-mlogloss:1.26244	validation-mlogloss:1.25675
[17]	train-mlogloss:1.25607	validation-mlogloss:1.25010
[18]	train-mlogloss:1.24966	validation-mlogloss:1.24341
[19]	train-mlogloss:1.24342	validation-mlogloss:1.23692
[20]	train-mlogloss:1.23723	validation-mlogloss:1.23037
[21]	train-mlogloss:1.23101	validation-mlogloss:1.22384
[22]	train-mlogloss:1.22495	validation-mlogloss:1.21750
[23]	train-mlogloss:1.21891	validation-mlogloss:1.21119
[24]	train-mlogloss:1.21295	validation-mlogloss:1.20491
[25]	train-mlogloss:1.20710	validation-mlogloss:1.19871
[26]	train-mlogloss:1.20132	validation-mlogloss:1.19263
[27]	train-mlogloss:1.19552	validation-mlogloss:1.18651
[28]	train-mlogloss:1.18986	validation-mlogloss:1.18056
[29]	train-mlogloss:1.18439	validation-mlogloss:1.17470
[30]	train-mlogloss:1.17888	validation-mlogloss:1.16898
[31]	train-mlogloss:1.17341	validation-mlogloss:1.16325
[32]	train-mlogloss:1.16803	validation-mlogloss:1.15768
[33]	train-mlogloss:1.16271	validation-mlogloss:1.15220
[34]	train-mlogloss:1.15747	validation-mlogloss:1.14662
[35]	train-mlogloss:1.15237	validation-mlogloss:1.14133
[36]	train-mlogloss:1.14721	validation-mlogloss:1.13597
[37]	train-mlogloss:1.14200	validation-mlogloss:1.13068
[38]	train-mlogloss:1.13697	validation-mlogloss:1.12535
[39]	train-mlogloss:1.13201	validation-mlogloss:1.12013
[40]	train-mlogloss:1.12710	validation-mlogloss:1.11489
[41]	train-mlogloss:1.12224	validation-mlogloss:1.10977
[42]	train-mlogloss:1.11730	validation-mlogloss:1.10466
[43]	train-mlogloss:1.11255	validation-mlogloss:1.09960
[44]	train-mlogloss:1.10786	validation-mlogloss:1.09467
[45]	train-mlogloss:1.10326	validation-mlogloss:1.08983
[46]	train-mlogloss:1.09872	validation-mlogloss:1.08505
[47]	train-mlogloss:1.09414	validation-mlogloss:1.08018
[48]	train-mlogloss:1.08951	validation-mlogloss:1.07532
[49]	train-mlogloss:1.08494	validation-mlogloss:1.07056
[50]	train-mlogloss:1.08042	validation-mlogloss:1.06588
[51]	train-mlogloss:1.07597	validation-mlogloss:1.06133
[52]	train-mlogloss:1.07164	validation-mlogloss:1.05689
[53]	train-mlogloss:1.06744	validation-mlogloss:1.05246
[54]	train-mlogloss:1.06308	validation-mlogloss:1.04788
[55]	train-mlogloss:1.05880	validation-mlogloss:1.04339
[56]	train-mlogloss:1.05459	validation-mlogloss:1.03908
[57]	train-mlogloss:1.05040	validation-mlogloss:1.03467
[58]	train-mlogloss:1.04627	validation-mlogloss:1.03039
[59]	train-mlogloss:1.04227	validation-mlogloss:1.02614
[60]	train-mlogloss:1.03824	validation-mlogloss:1.02193
[61]	train-mlogloss:1.03424	validation-mlogloss:1.01775
[62]	train-mlogloss:1.03033	validation-mlogloss:1.01370
[63]	train-mlogloss:1.02650	validation-mlogloss:1.00970
[64]	train-mlogloss:1.02260	validation-mlogloss:1.00571
[65]	train-mlogloss:1.01879	validation-mlogloss:1.00169
[66]	train-mlogloss:1.01505	validation-mlogloss:0.99775
[67]	train-mlogloss:1.01130	validation-mlogloss:0.99396
[68]	train-mlogloss:1.00758	validation-mlogloss:0.99001
[69]	train-mlogloss:1.00393	validation-mlogloss:0.98615
[70]	train-mlogloss:1.00027	validation-mlogloss:0.98233
[71]	train-mlogloss:0.99671	validation-mlogloss:0.97871
[72]	train-mlogloss:0.99327	validation-mlogloss:0.97498
[73]	train-mlogloss:0.98978	validation-mlogloss:0.97129
[74]	train-mlogloss:0.98624	validation-mlogloss:0.96758
[75]	train-mlogloss:0.98279	validation-mlogloss:0.96407
[76]	train-mlogloss:0.97939	validation-mlogloss:0.96055
[77]	train-mlogloss:0.97607	validation-mlogloss:0.95705
[78]	train-mlogloss:0.97283	validation-mlogloss:0.95378
[79]	train-mlogloss:0.96948	validation-mlogloss:0.95026
[80]	train-mlogloss:0.96620	validation-mlogloss:0.94687
[81]	train-mlogloss:0.96278	validation-mlogloss:0.94330
[82]	train-mlogloss:0.95960	validation-mlogloss:0.93993
[83]	train-mlogloss:0.95653	validation-mlogloss:0.93676
[84]	train-mlogloss:0.95349	validation-mlogloss:0.93350
[85]	train-mlogloss:0.95038	validation-mlogloss:0.93023
[86]	train-mlogloss:0.94732	validation-mlogloss:0.92704
[87]	train-mlogloss:0.94414	validation-mlogloss:0.92363
[88]	train-mlogloss:0.94115	validation-mlogloss:0.92049
[89]	train-mlogloss:0.93817	validation-mlogloss:0.91731
[90]	train-mlogloss:0.93521	validation-mlogloss:0.91418
[91]	train-mlogloss:0.93226	validation-mlogloss:0.91112
[92]	train-mlogloss:0.92931	validation-mlogloss:0.90792
[93]	train-mlogloss:0.92648	validation-mlogloss:0.90498
[94]	train-mlogloss:0.92364	validation-mlogloss:0.90197
[95]	train-mlogloss:0.92087	validation-mlogloss:0.89907
[96]	train-mlogloss:0.91808	validation-mlogloss:0.89616
[97]	train-mlogloss:0.91516	validation-mlogloss:0.89295
[98]	train-mlogloss:0.91244	validation-mlogloss:0.89012
[99]	train-mlogloss:0.90959	validation-mlogloss:0.88700
[100]	train-mlogloss:0.90688	validation-mlogloss:0.88421
[101]	train-mlogloss:0.90425	validation-mlogloss:0.88149
[102]	train-mlogloss:0.90170	validation-mlogloss:0.87883
[103]	train-mlogloss:0.89907	validation-mlogloss:0.87590
[104]	train-mlogloss:0.89654	validation-mlogloss:0.87317
[105]	train-mlogloss:0.89399	validation-mlogloss:0.87051
[106]	train-mlogloss:0.89144	validation-mlogloss:0.86777
[107]	train-mlogloss:0.88894	validation-mlogloss:0.86519
[108]	train-mlogloss:0.88632	validation-mlogloss:0.86237
[109]	train-mlogloss:0.88385	validation-mlogloss:0.85974
[110]	train-mlogloss:0.88147	validation-mlogloss:0.85718
[111]	train-mlogloss:0.87906	validation-mlogloss:0.85460
[112]	train-mlogloss:0.87656	validation-mlogloss:0.85192
[113]	train-mlogloss:0.87411	validation-mlogloss:0.84937
[114]	train-mlogloss:0.87162	validation-mlogloss:0.84667
[115]	train-mlogloss:0.86921	validation-mlogloss:0.84407
[116]	train-mlogloss:0.86691	validation-mlogloss:0.84164
[117]	train-mlogloss:0.86466	validation-mlogloss:0.83925
[118]	train-mlogloss:0.86237	validation-mlogloss:0.83690
[119]	train-mlogloss:0.86013	validation-mlogloss:0.83452
[120]	train-mlogloss:0.85794	validation-mlogloss:0.83214
[121]	train-mlogloss:0.85581	validation-mlogloss:0.82982
[122]	train-mlogloss:0.85360	validation-mlogloss:0.82736
[123]	train-mlogloss:0.85134	validation-mlogloss:0.82497
[124]	train-mlogloss:0.84926	validation-mlogloss:0.82286
[125]	train-mlogloss:0.84702	validation-mlogloss:0.82042
[126]	train-mlogloss:0.84495	validation-mlogloss:0.81817
[127]	train-mlogloss:0.84282	validation-mlogloss:0.81584
[128]	train-mlogloss:0.84070	validation-mlogloss:0.81351
[129]	train-mlogloss:0.83860	validation-mlogloss:0.81128
[130]	train-mlogloss:0.83659	validation-mlogloss:0.80909
[131]	train-mlogloss:0.83464	validation-mlogloss:0.80694
[132]	train-mlogloss:0.83269	validation-mlogloss:0.80489
[133]	train-mlogloss:0.83081	validation-mlogloss:0.80282
[134]	train-mlogloss:0.82883	validation-mlogloss:0.80059
[135]	train-mlogloss:0.82683	validation-mlogloss:0.79844
[136]	train-mlogloss:0.82494	validation-mlogloss:0.79643
[137]	train-mlogloss:0.82305	validation-mlogloss:0.79437
[138]	train-mlogloss:0.82119	validation-mlogloss:0.79241
[139]	train-mlogloss:0.81939	validation-mlogloss:0.79046
[140]	train-mlogloss:0.81746	validation-mlogloss:0.78834
[141]	train-mlogloss:0.81564	validation-mlogloss:0.78634
[142]	train-mlogloss:0.81384	validation-mlogloss:0.78436
[143]	train-mlogloss:0.81203	validation-mlogloss:0.78231
[144]	train-mlogloss:0.81023	validation-mlogloss:0.78037
[145]	train-mlogloss:0.80848	validation-mlogloss:0.77846
[146]	train-mlogloss:0.80671	validation-mlogloss:0.77660
[147]	train-mlogloss:0.80498	validation-mlogloss:0.77468
[148]	train-mlogloss:0.80319	validation-mlogloss:0.77283
[149]	train-mlogloss:0.80142	validation-mlogloss:0.77086
[150]	train-mlogloss:0.79968	validation-mlogloss:0.76899
[151]	train-mlogloss:0.79791	validation-mlogloss:0.76708
[152]	train-mlogloss:0.79626	validation-mlogloss:0.76527
[153]	train-mlogloss:0.79453	validation-mlogloss:0.76337
[154]	train-mlogloss:0.79291	validation-mlogloss:0.76155
[155]	train-mlogloss:0.79123	validation-mlogloss:0.75969
[156]	train-mlogloss:0.78961	validation-mlogloss:0.75790
[157]	train-mlogloss:0.78796	validation-mlogloss:0.75608
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[345]	train-mlogloss:0.63125	validation-mlogloss:0.57895
[346]	train-mlogloss:0.63081	validation-mlogloss:0.57844
[347]	train-mlogloss:0.63044	validation-mlogloss:0.57799
[348]	train-mlogloss:0.63010	validation-mlogloss:0.57757
[349]	train-mlogloss:0.62972	validation-mlogloss:0.57710
[350]	train-mlogloss:0.62933	validation-mlogloss:0.57661
[351]	train-mlogloss:0.62899	validation-mlogloss:0.57618
[352]	train-mlogloss:0.62858	validation-mlogloss:0.57570
[353]	train-mlogloss:0.62823	validation-mlogloss:0.57531
[354]	train-mlogloss:0.62786	validation-mlogloss:0.57491
[355]	train-mlogloss:0.62749	validation-mlogloss:0.57454
[356]	train-mlogloss:0.62715	validation-mlogloss:0.57414
[357]	train-mlogloss:0.62687	validation-mlogloss:0.57387
[358]	train-mlogloss:0.62657	validation-mlogloss:0.57350
[359]	train-mlogloss:0.62619	validation-mlogloss:0.57308
[360]	train-mlogloss:0.62587	validation-mlogloss:0.57275
[361]	train-mlogloss:0.62555	validation-mlogloss:0.57236
[362]	train-mlogloss:0.62526	validation-mlogloss:0.57199
[363]	train-mlogloss:0.62490	validation-mlogloss:0.57159
[364]	train-mlogloss:0.62454	validation-mlogloss:0.57117
[365]	train-mlogloss:0.62425	validation-mlogloss:0.57087
[366]	train-mlogloss:0.62391	validation-mlogloss:0.57048
[367]	train-mlogloss:0.62362	validation-mlogloss:0.57007
[368]	train-mlogloss:0.62326	validation-mlogloss:0.56964
[369]	train-mlogloss:0.62295	validation-mlogloss:0.56930
[370]	train-mlogloss:0.62271	validation-mlogloss:0.56906
[371]	train-mlogloss:0.62242	validation-mlogloss:0.56871
[372]	train-mlogloss:0.62209	validation-mlogloss:0.56830
[373]	train-mlogloss:0.62175	validation-mlogloss:0.56793
[374]	train-mlogloss:0.62148	validation-mlogloss:0.56758
[375]	train-mlogloss:0.62118	validation-mlogloss:0.56722
[376]	train-mlogloss:0.62084	validation-mlogloss:0.56680
[377]	train-mlogloss:0.62052	validation-mlogloss:0.56644
[378]	train-mlogloss:0.62024	validation-mlogloss:0.56614
[379]	train-mlogloss:0.61998	validation-mlogloss:0.56589
[380]	train-mlogloss:0.61970	validation-mlogloss:0.56556
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.03 [%]
Global accuracy score (test) = 78.64 [%]
Global F1 score (train) = 75.12 [%]
Global F1 score (test) = 79.24 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.64      0.59      0.61       350
MODERATE-INTENSITY       0.60      0.71      0.65       350
         SEDENTARY       0.99      0.96      0.98       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.79      1372
         macro avg       0.80      0.79      0.79      1372
      weighted avg       0.80      0.79      0.79      1372


Accuracy capturado en la ejecución 25: 78.64 [%]
F1-score capturado en la ejecución 25: 79.24 [%]

=== EJECUCIÓN 26 ===

--- TRAIN (ejecución 26) ---

--- TEST (ejecución 26) ---
2025-11-06 16:30:17.716944: 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`.
2025-11-06 16:30:17.728494: 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 00:00:1762443017.741972 1484365 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762443017.746200 1484365 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762443017.756288 1484365 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443017.756308 1484365 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443017.756310 1484365 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443017.756312 1484365 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:30:17.759517: 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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[267]	train-mlogloss:0.67624	validation-mlogloss:0.62831
[268]	train-mlogloss:0.67558	validation-mlogloss:0.62748
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[270]	train-mlogloss:0.67412	validation-mlogloss:0.62585
[271]	train-mlogloss:0.67344	validation-mlogloss:0.62505
[272]	train-mlogloss:0.67288	validation-mlogloss:0.62438
[273]	train-mlogloss:0.67224	validation-mlogloss:0.62367
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[276]	train-mlogloss:0.67030	validation-mlogloss:0.62131
[277]	train-mlogloss:0.66958	validation-mlogloss:0.62049
[278]	train-mlogloss:0.66894	validation-mlogloss:0.61979
[279]	train-mlogloss:0.66834	validation-mlogloss:0.61908
[280]	train-mlogloss:0.66768	validation-mlogloss:0.61832
[281]	train-mlogloss:0.66709	validation-mlogloss:0.61757
[282]	train-mlogloss:0.66645	validation-mlogloss:0.61687
[283]	train-mlogloss:0.66591	validation-mlogloss:0.61616
[284]	train-mlogloss:0.66529	validation-mlogloss:0.61541
[285]	train-mlogloss:0.66466	validation-mlogloss:0.61472
[286]	train-mlogloss:0.66401	validation-mlogloss:0.61394
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[288]	train-mlogloss:0.66291	validation-mlogloss:0.61262
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[302]	train-mlogloss:0.65536	validation-mlogloss:0.60379
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[304]	train-mlogloss:0.65433	validation-mlogloss:0.60250
[305]	train-mlogloss:0.65377	validation-mlogloss:0.60187
[306]	train-mlogloss:0.65328	validation-mlogloss:0.60131
[307]	train-mlogloss:0.65264	validation-mlogloss:0.60061
[308]	train-mlogloss:0.65213	validation-mlogloss:0.59995
[309]	train-mlogloss:0.65164	validation-mlogloss:0.59939
[310]	train-mlogloss:0.65113	validation-mlogloss:0.59879
[311]	train-mlogloss:0.65061	validation-mlogloss:0.59818
[312]	train-mlogloss:0.65016	validation-mlogloss:0.59765
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[314]	train-mlogloss:0.64916	validation-mlogloss:0.59658
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[317]	train-mlogloss:0.64764	validation-mlogloss:0.59487
[318]	train-mlogloss:0.64714	validation-mlogloss:0.59431
[319]	train-mlogloss:0.64669	validation-mlogloss:0.59375
[320]	train-mlogloss:0.64619	validation-mlogloss:0.59320
[321]	train-mlogloss:0.64575	validation-mlogloss:0.59268
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[323]	train-mlogloss:0.64485	validation-mlogloss:0.59166
[324]	train-mlogloss:0.64434	validation-mlogloss:0.59111
[325]	train-mlogloss:0.64386	validation-mlogloss:0.59053
[326]	train-mlogloss:0.64343	validation-mlogloss:0.59004
[327]	train-mlogloss:0.64299	validation-mlogloss:0.58954
[328]	train-mlogloss:0.64256	validation-mlogloss:0.58901
[329]	train-mlogloss:0.64218	validation-mlogloss:0.58857
[330]	train-mlogloss:0.64175	validation-mlogloss:0.58807
[331]	train-mlogloss:0.64139	validation-mlogloss:0.58765
[332]	train-mlogloss:0.64101	validation-mlogloss:0.58719
[333]	train-mlogloss:0.64063	validation-mlogloss:0.58675
[334]	train-mlogloss:0.64023	validation-mlogloss:0.58631
[335]	train-mlogloss:0.63974	validation-mlogloss:0.58576
[336]	train-mlogloss:0.63937	validation-mlogloss:0.58534
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[338]	train-mlogloss:0.63858	validation-mlogloss:0.58440
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[340]	train-mlogloss:0.63776	validation-mlogloss:0.58339
[341]	train-mlogloss:0.63738	validation-mlogloss:0.58295
[342]	train-mlogloss:0.63696	validation-mlogloss:0.58244
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[344]	train-mlogloss:0.63626	validation-mlogloss:0.58157
[345]	train-mlogloss:0.63584	validation-mlogloss:0.58109
[346]	train-mlogloss:0.63547	validation-mlogloss:0.58067
[347]	train-mlogloss:0.63512	validation-mlogloss:0.58027
[348]	train-mlogloss:0.63477	validation-mlogloss:0.57984
[349]	train-mlogloss:0.63435	validation-mlogloss:0.57936
[350]	train-mlogloss:0.63395	validation-mlogloss:0.57890
[351]	train-mlogloss:0.63358	validation-mlogloss:0.57848
[352]	train-mlogloss:0.63317	validation-mlogloss:0.57799
[353]	train-mlogloss:0.63285	validation-mlogloss:0.57762
[354]	train-mlogloss:0.63254	validation-mlogloss:0.57729
[355]	train-mlogloss:0.63217	validation-mlogloss:0.57683
[356]	train-mlogloss:0.63180	validation-mlogloss:0.57639
[357]	train-mlogloss:0.63143	validation-mlogloss:0.57596
[358]	train-mlogloss:0.63107	validation-mlogloss:0.57554
[359]	train-mlogloss:0.63086	validation-mlogloss:0.57528
[360]	train-mlogloss:0.63050	validation-mlogloss:0.57484
[361]	train-mlogloss:0.63003	validation-mlogloss:0.57425
[362]	train-mlogloss:0.62974	validation-mlogloss:0.57384
[363]	train-mlogloss:0.62945	validation-mlogloss:0.57351
[364]	train-mlogloss:0.62906	validation-mlogloss:0.57306
[365]	train-mlogloss:0.62871	validation-mlogloss:0.57264
[366]	train-mlogloss:0.62836	validation-mlogloss:0.57225
[367]	train-mlogloss:0.62806	validation-mlogloss:0.57195
[368]	train-mlogloss:0.62775	validation-mlogloss:0.57159
[369]	train-mlogloss:0.62744	validation-mlogloss:0.57122
[370]	train-mlogloss:0.62710	validation-mlogloss:0.57075
[371]	train-mlogloss:0.62677	validation-mlogloss:0.57038
[372]	train-mlogloss:0.62648	validation-mlogloss:0.57005
[373]	train-mlogloss:0.62620	validation-mlogloss:0.56970
[374]	train-mlogloss:0.62589	validation-mlogloss:0.56930
[375]	train-mlogloss:0.62565	validation-mlogloss:0.56902
[376]	train-mlogloss:0.62540	validation-mlogloss:0.56876
[377]	train-mlogloss:0.62505	validation-mlogloss:0.56833
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[379]	train-mlogloss:0.62441	validation-mlogloss:0.56760
[380]	train-mlogloss:0.62396	validation-mlogloss:0.56711
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 1 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.41 [%]
Global accuracy score (test) = 77.55 [%]
Global F1 score (train) = 75.59 [%]
Global F1 score (test) = 78.4 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.64      0.62       350
MODERATE-INTENSITY       0.60      0.63      0.62       350
         SEDENTARY       0.99      0.94      0.96       350
VIGOROUS-INTENSITY       0.98      0.90      0.94       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 26: 77.55 [%]
F1-score capturado en la ejecución 26: 78.4 [%]

=== EJECUCIÓN 27 ===

--- TRAIN (ejecución 27) ---

--- TEST (ejecución 27) ---
2025-11-06 16:30:29.333601: 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`.
2025-11-06 16:30:29.344684: 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 00:00:1762443029.357879 1484624 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762443029.361888 1484624 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762443029.371767 1484624 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443029.371786 1484624 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443029.371788 1484624 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443029.371789 1484624 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:30:29.374858: 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:1.37825	validation-mlogloss:1.37802
[1]	train-mlogloss:1.37028	validation-mlogloss:1.36969
[2]	train-mlogloss:1.36244	validation-mlogloss:1.36155
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[10]	train-mlogloss:1.30305	validation-mlogloss:1.29947
[11]	train-mlogloss:1.29603	validation-mlogloss:1.29205
[12]	train-mlogloss:1.28916	validation-mlogloss:1.28492
[13]	train-mlogloss:1.28234	validation-mlogloss:1.27778
[14]	train-mlogloss:1.27559	validation-mlogloss:1.27078
[15]	train-mlogloss:1.26897	validation-mlogloss:1.26379
[16]	train-mlogloss:1.26228	validation-mlogloss:1.25704
[17]	train-mlogloss:1.25585	validation-mlogloss:1.25026
[18]	train-mlogloss:1.24942	validation-mlogloss:1.24349
[19]	train-mlogloss:1.24325	validation-mlogloss:1.23708
[20]	train-mlogloss:1.23697	validation-mlogloss:1.23048
[21]	train-mlogloss:1.23083	validation-mlogloss:1.22401
[22]	train-mlogloss:1.22468	validation-mlogloss:1.21757
[23]	train-mlogloss:1.21874	validation-mlogloss:1.21130
[24]	train-mlogloss:1.21279	validation-mlogloss:1.20501
[25]	train-mlogloss:1.20703	validation-mlogloss:1.19888
[26]	train-mlogloss:1.20122	validation-mlogloss:1.19273
[27]	train-mlogloss:1.19568	validation-mlogloss:1.18694
[28]	train-mlogloss:1.19005	validation-mlogloss:1.18098
[29]	train-mlogloss:1.18446	validation-mlogloss:1.17511
[30]	train-mlogloss:1.17896	validation-mlogloss:1.16936
[31]	train-mlogloss:1.17346	validation-mlogloss:1.16352
[32]	train-mlogloss:1.16801	validation-mlogloss:1.15777
[33]	train-mlogloss:1.16267	validation-mlogloss:1.15207
[34]	train-mlogloss:1.15747	validation-mlogloss:1.14659
[35]	train-mlogloss:1.15240	validation-mlogloss:1.14125
[36]	train-mlogloss:1.14709	validation-mlogloss:1.13580
[37]	train-mlogloss:1.14201	validation-mlogloss:1.13042
[38]	train-mlogloss:1.13681	validation-mlogloss:1.12509
[39]	train-mlogloss:1.13193	validation-mlogloss:1.11992
[40]	train-mlogloss:1.12710	validation-mlogloss:1.11479
[41]	train-mlogloss:1.12228	validation-mlogloss:1.10960
[42]	train-mlogloss:1.11738	validation-mlogloss:1.10450
[43]	train-mlogloss:1.11259	validation-mlogloss:1.09959
[44]	train-mlogloss:1.10777	validation-mlogloss:1.09471
[45]	train-mlogloss:1.10315	validation-mlogloss:1.08985
[46]	train-mlogloss:1.09848	validation-mlogloss:1.08498
[47]	train-mlogloss:1.09384	validation-mlogloss:1.08014
[48]	train-mlogloss:1.08927	validation-mlogloss:1.07548
[49]	train-mlogloss:1.08490	validation-mlogloss:1.07088
[50]	train-mlogloss:1.08058	validation-mlogloss:1.06632
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[351]	train-mlogloss:0.62902	validation-mlogloss:0.58497
[352]	train-mlogloss:0.62869	validation-mlogloss:0.58457
[353]	train-mlogloss:0.62829	validation-mlogloss:0.58412
[354]	train-mlogloss:0.62796	validation-mlogloss:0.58372
[355]	train-mlogloss:0.62756	validation-mlogloss:0.58328
[356]	train-mlogloss:0.62722	validation-mlogloss:0.58289
[357]	train-mlogloss:0.62688	validation-mlogloss:0.58251
[358]	train-mlogloss:0.62652	validation-mlogloss:0.58207
[359]	train-mlogloss:0.62615	validation-mlogloss:0.58165
[360]	train-mlogloss:0.62578	validation-mlogloss:0.58125
[361]	train-mlogloss:0.62544	validation-mlogloss:0.58081
[362]	train-mlogloss:0.62511	validation-mlogloss:0.58045
[363]	train-mlogloss:0.62479	validation-mlogloss:0.58009
[364]	train-mlogloss:0.62447	validation-mlogloss:0.57968
[365]	train-mlogloss:0.62412	validation-mlogloss:0.57933
[366]	train-mlogloss:0.62377	validation-mlogloss:0.57895
[367]	train-mlogloss:0.62351	validation-mlogloss:0.57866
[368]	train-mlogloss:0.62318	validation-mlogloss:0.57833
[369]	train-mlogloss:0.62286	validation-mlogloss:0.57800
[370]	train-mlogloss:0.62251	validation-mlogloss:0.57762
[371]	train-mlogloss:0.62222	validation-mlogloss:0.57732
[372]	train-mlogloss:0.62193	validation-mlogloss:0.57704
[373]	train-mlogloss:0.62168	validation-mlogloss:0.57677
[374]	train-mlogloss:0.62145	validation-mlogloss:0.57655
[375]	train-mlogloss:0.62117	validation-mlogloss:0.57621
[376]	train-mlogloss:0.62084	validation-mlogloss:0.57584
[377]	train-mlogloss:0.62060	validation-mlogloss:0.57562
[378]	train-mlogloss:0.62024	validation-mlogloss:0.57520
[379]	train-mlogloss:0.61998	validation-mlogloss:0.57493
[380]	train-mlogloss:0.61975	validation-mlogloss:0.57470
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.21 [%]
Global accuracy score (test) = 77.26 [%]
Global F1 score (train) = 75.37 [%]
Global F1 score (test) = 77.97 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.59      0.63      0.61       350
MODERATE-INTENSITY       0.60      0.61      0.60       350
         SEDENTARY       0.99      0.96      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.79      0.78      0.78      1372
      weighted avg       0.78      0.77      0.78      1372


Accuracy capturado en la ejecución 27: 77.26 [%]
F1-score capturado en la ejecución 27: 77.97 [%]

=== EJECUCIÓN 28 ===

--- TRAIN (ejecución 28) ---

--- TEST (ejecución 28) ---
2025-11-06 16:30:40.641463: 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`.
2025-11-06 16:30:40.652466: 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 00:00:1762443040.665261 1484888 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762443040.669297 1484888 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762443040.679043 1484888 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443040.679063 1484888 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443040.679066 1484888 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443040.679067 1484888 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:30:40.682198: 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:1.37825	validation-mlogloss:1.37783
[1]	train-mlogloss:1.37036	validation-mlogloss:1.36962
[2]	train-mlogloss:1.36255	validation-mlogloss:1.36133
[3]	train-mlogloss:1.35477	validation-mlogloss:1.35318
[4]	train-mlogloss:1.34741	validation-mlogloss:1.34560
[5]	train-mlogloss:1.33991	validation-mlogloss:1.33784
[6]	train-mlogloss:1.33252	validation-mlogloss:1.33009
[7]	train-mlogloss:1.32519	validation-mlogloss:1.32234
[8]	train-mlogloss:1.31794	validation-mlogloss:1.31470
[9]	train-mlogloss:1.31090	validation-mlogloss:1.30737
[10]	train-mlogloss:1.30396	validation-mlogloss:1.30007
[11]	train-mlogloss:1.29713	validation-mlogloss:1.29289
[12]	train-mlogloss:1.29026	validation-mlogloss:1.28563
[13]	train-mlogloss:1.28351	validation-mlogloss:1.27844
[14]	train-mlogloss:1.27686	validation-mlogloss:1.27145
[15]	train-mlogloss:1.27030	validation-mlogloss:1.26440
[16]	train-mlogloss:1.26376	validation-mlogloss:1.25745
[17]	train-mlogloss:1.25736	validation-mlogloss:1.25068
[18]	train-mlogloss:1.25103	validation-mlogloss:1.24404
[19]	train-mlogloss:1.24473	validation-mlogloss:1.23747
[20]	train-mlogloss:1.23852	validation-mlogloss:1.23083
[21]	train-mlogloss:1.23240	validation-mlogloss:1.22438
[22]	train-mlogloss:1.22634	validation-mlogloss:1.21786
[23]	train-mlogloss:1.22037	validation-mlogloss:1.21151
[24]	train-mlogloss:1.21455	validation-mlogloss:1.20532
[25]	train-mlogloss:1.20876	validation-mlogloss:1.19916
[26]	train-mlogloss:1.20306	validation-mlogloss:1.19323
[27]	train-mlogloss:1.19739	validation-mlogloss:1.18719
[28]	train-mlogloss:1.19200	validation-mlogloss:1.18159
[29]	train-mlogloss:1.18648	validation-mlogloss:1.17583
[30]	train-mlogloss:1.18108	validation-mlogloss:1.17004
[31]	train-mlogloss:1.17555	validation-mlogloss:1.16442
[32]	train-mlogloss:1.17026	validation-mlogloss:1.15892
[33]	train-mlogloss:1.16503	validation-mlogloss:1.15338
[34]	train-mlogloss:1.15982	validation-mlogloss:1.14780
[35]	train-mlogloss:1.15462	validation-mlogloss:1.14214
[36]	train-mlogloss:1.14941	validation-mlogloss:1.13687
[37]	train-mlogloss:1.14437	validation-mlogloss:1.13151
[38]	train-mlogloss:1.13937	validation-mlogloss:1.12620
[39]	train-mlogloss:1.13444	validation-mlogloss:1.12093
[40]	train-mlogloss:1.12939	validation-mlogloss:1.11574
[41]	train-mlogloss:1.12437	validation-mlogloss:1.11057
[42]	train-mlogloss:1.11946	validation-mlogloss:1.10553
[43]	train-mlogloss:1.11461	validation-mlogloss:1.10060
[44]	train-mlogloss:1.10992	validation-mlogloss:1.09569
[45]	train-mlogloss:1.10522	validation-mlogloss:1.09091
[46]	train-mlogloss:1.10051	validation-mlogloss:1.08602
[47]	train-mlogloss:1.09584	validation-mlogloss:1.08109
[48]	train-mlogloss:1.09150	validation-mlogloss:1.07650
[49]	train-mlogloss:1.08693	validation-mlogloss:1.07182
[50]	train-mlogloss:1.08237	validation-mlogloss:1.06707
[51]	train-mlogloss:1.07793	validation-mlogloss:1.06244
[52]	train-mlogloss:1.07358	validation-mlogloss:1.05793
[53]	train-mlogloss:1.06921	validation-mlogloss:1.05338
[54]	train-mlogloss:1.06496	validation-mlogloss:1.04901
[55]	train-mlogloss:1.06075	validation-mlogloss:1.04466
[56]	train-mlogloss:1.05659	validation-mlogloss:1.04038
[57]	train-mlogloss:1.05250	validation-mlogloss:1.03617
[58]	train-mlogloss:1.04844	validation-mlogloss:1.03189
[59]	train-mlogloss:1.04439	validation-mlogloss:1.02766
[60]	train-mlogloss:1.04039	validation-mlogloss:1.02362
[61]	train-mlogloss:1.03641	validation-mlogloss:1.01941
[62]	train-mlogloss:1.03250	validation-mlogloss:1.01536
[63]	train-mlogloss:1.02869	validation-mlogloss:1.01142
[64]	train-mlogloss:1.02486	validation-mlogloss:1.00742
[65]	train-mlogloss:1.02114	validation-mlogloss:1.00354
[66]	train-mlogloss:1.01736	validation-mlogloss:0.99964
[67]	train-mlogloss:1.01365	validation-mlogloss:0.99574
[68]	train-mlogloss:1.01002	validation-mlogloss:0.99198
[69]	train-mlogloss:1.00639	validation-mlogloss:0.98821
[70]	train-mlogloss:1.00271	validation-mlogloss:0.98434
[71]	train-mlogloss:0.99913	validation-mlogloss:0.98074
[72]	train-mlogloss:0.99564	validation-mlogloss:0.97705
[73]	train-mlogloss:0.99227	validation-mlogloss:0.97338
[74]	train-mlogloss:0.98891	validation-mlogloss:0.96990
[75]	train-mlogloss:0.98554	validation-mlogloss:0.96634
[76]	train-mlogloss:0.98216	validation-mlogloss:0.96285
[77]	train-mlogloss:0.97893	validation-mlogloss:0.95933
[78]	train-mlogloss:0.97564	validation-mlogloss:0.95582
[79]	train-mlogloss:0.97246	validation-mlogloss:0.95256
[80]	train-mlogloss:0.96910	validation-mlogloss:0.94900
[81]	train-mlogloss:0.96589	validation-mlogloss:0.94565
[82]	train-mlogloss:0.96275	validation-mlogloss:0.94216
[83]	train-mlogloss:0.95964	validation-mlogloss:0.93898
[84]	train-mlogloss:0.95656	validation-mlogloss:0.93572
[85]	train-mlogloss:0.95349	validation-mlogloss:0.93241
[86]	train-mlogloss:0.95049	validation-mlogloss:0.92930
[87]	train-mlogloss:0.94749	validation-mlogloss:0.92612
[88]	train-mlogloss:0.94444	validation-mlogloss:0.92288
[89]	train-mlogloss:0.94156	validation-mlogloss:0.91971
[90]	train-mlogloss:0.93863	validation-mlogloss:0.91664
[91]	train-mlogloss:0.93567	validation-mlogloss:0.91356
[92]	train-mlogloss:0.93271	validation-mlogloss:0.91041
[93]	train-mlogloss:0.92983	validation-mlogloss:0.90735
[94]	train-mlogloss:0.92705	validation-mlogloss:0.90442
[95]	train-mlogloss:0.92422	validation-mlogloss:0.90138
[96]	train-mlogloss:0.92143	validation-mlogloss:0.89837
[97]	train-mlogloss:0.91870	validation-mlogloss:0.89549
[98]	train-mlogloss:0.91593	validation-mlogloss:0.89254
[99]	train-mlogloss:0.91323	validation-mlogloss:0.88973
[100]	train-mlogloss:0.91058	validation-mlogloss:0.88694
[101]	train-mlogloss:0.90785	validation-mlogloss:0.88406
[102]	train-mlogloss:0.90532	validation-mlogloss:0.88133
[103]	train-mlogloss:0.90275	validation-mlogloss:0.87864
[104]	train-mlogloss:0.90020	validation-mlogloss:0.87606
[105]	train-mlogloss:0.89767	validation-mlogloss:0.87334
[106]	train-mlogloss:0.89518	validation-mlogloss:0.87073
[107]	train-mlogloss:0.89254	validation-mlogloss:0.86792
[108]	train-mlogloss:0.89001	validation-mlogloss:0.86520
[109]	train-mlogloss:0.88762	validation-mlogloss:0.86267
[110]	train-mlogloss:0.88522	validation-mlogloss:0.86018
[111]	train-mlogloss:0.88273	validation-mlogloss:0.85757
[112]	train-mlogloss:0.88037	validation-mlogloss:0.85513
[113]	train-mlogloss:0.87807	validation-mlogloss:0.85278
[114]	train-mlogloss:0.87569	validation-mlogloss:0.85022
[115]	train-mlogloss:0.87338	validation-mlogloss:0.84786
[116]	train-mlogloss:0.87096	validation-mlogloss:0.84528
[117]	train-mlogloss:0.86852	validation-mlogloss:0.84267
[118]	train-mlogloss:0.86631	validation-mlogloss:0.84034
[119]	train-mlogloss:0.86412	validation-mlogloss:0.83802
[120]	train-mlogloss:0.86179	validation-mlogloss:0.83546
[121]	train-mlogloss:0.85956	validation-mlogloss:0.83302
[122]	train-mlogloss:0.85744	validation-mlogloss:0.83077
[123]	train-mlogloss:0.85517	validation-mlogloss:0.82822
[124]	train-mlogloss:0.85299	validation-mlogloss:0.82584
[125]	train-mlogloss:0.85088	validation-mlogloss:0.82366
[126]	train-mlogloss:0.84894	validation-mlogloss:0.82161
[127]	train-mlogloss:0.84683	validation-mlogloss:0.81937
[128]	train-mlogloss:0.84480	validation-mlogloss:0.81719
[129]	train-mlogloss:0.84270	validation-mlogloss:0.81484
[130]	train-mlogloss:0.84059	validation-mlogloss:0.81249
[131]	train-mlogloss:0.83866	validation-mlogloss:0.81046
[132]	train-mlogloss:0.83667	validation-mlogloss:0.80831
[133]	train-mlogloss:0.83469	validation-mlogloss:0.80617
[134]	train-mlogloss:0.83266	validation-mlogloss:0.80396
[135]	train-mlogloss:0.83073	validation-mlogloss:0.80186
[136]	train-mlogloss:0.82881	validation-mlogloss:0.79976
[137]	train-mlogloss:0.82698	validation-mlogloss:0.79781
[138]	train-mlogloss:0.82504	validation-mlogloss:0.79579
[139]	train-mlogloss:0.82324	validation-mlogloss:0.79382
[140]	train-mlogloss:0.82129	validation-mlogloss:0.79162
[141]	train-mlogloss:0.81949	validation-mlogloss:0.78974
[142]	train-mlogloss:0.81770	validation-mlogloss:0.78783
[143]	train-mlogloss:0.81594	validation-mlogloss:0.78595
[144]	train-mlogloss:0.81413	validation-mlogloss:0.78395
[145]	train-mlogloss:0.81239	validation-mlogloss:0.78206
[146]	train-mlogloss:0.81047	validation-mlogloss:0.78000
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[362]	train-mlogloss:0.62895	validation-mlogloss:0.57795
[363]	train-mlogloss:0.62865	validation-mlogloss:0.57763
[364]	train-mlogloss:0.62830	validation-mlogloss:0.57722
[365]	train-mlogloss:0.62796	validation-mlogloss:0.57685
[366]	train-mlogloss:0.62777	validation-mlogloss:0.57663
[367]	train-mlogloss:0.62742	validation-mlogloss:0.57629
[368]	train-mlogloss:0.62707	validation-mlogloss:0.57589
[369]	train-mlogloss:0.62675	validation-mlogloss:0.57551
[370]	train-mlogloss:0.62646	validation-mlogloss:0.57523
[371]	train-mlogloss:0.62615	validation-mlogloss:0.57493
[372]	train-mlogloss:0.62584	validation-mlogloss:0.57459
[373]	train-mlogloss:0.62545	validation-mlogloss:0.57415
[374]	train-mlogloss:0.62514	validation-mlogloss:0.57384
[375]	train-mlogloss:0.62473	validation-mlogloss:0.57337
[376]	train-mlogloss:0.62436	validation-mlogloss:0.57292
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[379]	train-mlogloss:0.62334	validation-mlogloss:0.57184
[380]	train-mlogloss:0.62302	validation-mlogloss:0.57150
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.95 [%]
Global accuracy score (test) = 76.53 [%]
Global F1 score (train) = 75.17 [%]
Global F1 score (test) = 77.32 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.60      0.58      0.59       350
MODERATE-INTENSITY       0.57      0.65      0.60       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.77      1372
         macro avg       0.78      0.77      0.77      1372
      weighted avg       0.78      0.77      0.77      1372


Accuracy capturado en la ejecución 28: 76.53 [%]
F1-score capturado en la ejecución 28: 77.32 [%]

=== EJECUCIÓN 29 ===

--- TRAIN (ejecución 29) ---

--- TEST (ejecución 29) ---
2025-11-06 16:30:51.866581: 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`.
2025-11-06 16:30:51.878237: 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 00:00:1762443051.891501 1485166 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762443051.895553 1485166 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762443051.905438 1485166 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443051.905457 1485166 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443051.905460 1485166 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762443051.905462 1485166 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-06 16:30:51.908585: 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:1.37840	validation-mlogloss:1.37819
[1]	train-mlogloss:1.37042	validation-mlogloss:1.36975
[2]	train-mlogloss:1.36261	validation-mlogloss:1.36154
[3]	train-mlogloss:1.35496	validation-mlogloss:1.35357
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[9]	train-mlogloss:1.31067	validation-mlogloss:1.30721
[10]	train-mlogloss:1.30351	validation-mlogloss:1.29967
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[19]	train-mlogloss:1.24397	validation-mlogloss:1.23688
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[21]	train-mlogloss:1.23154	validation-mlogloss:1.22383
[22]	train-mlogloss:1.22546	validation-mlogloss:1.21746
[23]	train-mlogloss:1.21949	validation-mlogloss:1.21117
[24]	train-mlogloss:1.21363	validation-mlogloss:1.20501
[25]	train-mlogloss:1.20780	validation-mlogloss:1.19887
[26]	train-mlogloss:1.20200	validation-mlogloss:1.19269
[27]	train-mlogloss:1.19634	validation-mlogloss:1.18679
[28]	train-mlogloss:1.19080	validation-mlogloss:1.18098
[29]	train-mlogloss:1.18532	validation-mlogloss:1.17527
[30]	train-mlogloss:1.17982	validation-mlogloss:1.16943
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[32]	train-mlogloss:1.16911	validation-mlogloss:1.15813
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[34]	train-mlogloss:1.15862	validation-mlogloss:1.14697
[35]	train-mlogloss:1.15347	validation-mlogloss:1.14166
[36]	train-mlogloss:1.14819	validation-mlogloss:1.13613
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[38]	train-mlogloss:1.13833	validation-mlogloss:1.12570
[39]	train-mlogloss:1.13340	validation-mlogloss:1.12049
[40]	train-mlogloss:1.12850	validation-mlogloss:1.11530
[41]	train-mlogloss:1.12366	validation-mlogloss:1.11011
[42]	train-mlogloss:1.11891	validation-mlogloss:1.10501
[43]	train-mlogloss:1.11421	validation-mlogloss:1.10002
[44]	train-mlogloss:1.10954	validation-mlogloss:1.09503
[45]	train-mlogloss:1.10474	validation-mlogloss:1.09006
[46]	train-mlogloss:1.10002	validation-mlogloss:1.08508
[47]	train-mlogloss:1.09536	validation-mlogloss:1.08024
[48]	train-mlogloss:1.09092	validation-mlogloss:1.07552
[49]	train-mlogloss:1.08653	validation-mlogloss:1.07086
[50]	train-mlogloss:1.08222	validation-mlogloss:1.06628
[51]	train-mlogloss:1.07794	validation-mlogloss:1.06184
[52]	train-mlogloss:1.07350	validation-mlogloss:1.05729
[53]	train-mlogloss:1.06920	validation-mlogloss:1.05280
[54]	train-mlogloss:1.06491	validation-mlogloss:1.04827
[55]	train-mlogloss:1.06064	validation-mlogloss:1.04378
[56]	train-mlogloss:1.05646	validation-mlogloss:1.03949
[57]	train-mlogloss:1.05231	validation-mlogloss:1.03517
[58]	train-mlogloss:1.04822	validation-mlogloss:1.03080
[59]	train-mlogloss:1.04413	validation-mlogloss:1.02662
[60]	train-mlogloss:1.04009	validation-mlogloss:1.02238
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[62]	train-mlogloss:1.03227	validation-mlogloss:1.01420
[63]	train-mlogloss:1.02841	validation-mlogloss:1.01021
[64]	train-mlogloss:1.02457	validation-mlogloss:1.00631
[65]	train-mlogloss:1.02080	validation-mlogloss:1.00232
[66]	train-mlogloss:1.01704	validation-mlogloss:0.99846
[67]	train-mlogloss:1.01341	validation-mlogloss:0.99451
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[69]	train-mlogloss:1.00608	validation-mlogloss:0.98683
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[72]	train-mlogloss:0.99542	validation-mlogloss:0.97554
[73]	train-mlogloss:0.99186	validation-mlogloss:0.97176
[74]	train-mlogloss:0.98834	validation-mlogloss:0.96799
[75]	train-mlogloss:0.98495	validation-mlogloss:0.96441
[76]	train-mlogloss:0.98156	validation-mlogloss:0.96089
[77]	train-mlogloss:0.97826	validation-mlogloss:0.95738
[78]	train-mlogloss:0.97493	validation-mlogloss:0.95391
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[80]	train-mlogloss:0.96838	validation-mlogloss:0.94697
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[85]	train-mlogloss:0.95257	validation-mlogloss:0.93022
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[88]	train-mlogloss:0.94352	validation-mlogloss:0.92069
[89]	train-mlogloss:0.94036	validation-mlogloss:0.91739
[90]	train-mlogloss:0.93745	validation-mlogloss:0.91434
[91]	train-mlogloss:0.93458	validation-mlogloss:0.91130
[92]	train-mlogloss:0.93171	validation-mlogloss:0.90827
[93]	train-mlogloss:0.92884	validation-mlogloss:0.90519
[94]	train-mlogloss:0.92589	validation-mlogloss:0.90210
[95]	train-mlogloss:0.92296	validation-mlogloss:0.89895
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[97]	train-mlogloss:0.91730	validation-mlogloss:0.89305
[98]	train-mlogloss:0.91458	validation-mlogloss:0.89023
[99]	train-mlogloss:0.91184	validation-mlogloss:0.88733
[100]	train-mlogloss:0.90922	validation-mlogloss:0.88457
[101]	train-mlogloss:0.90652	validation-mlogloss:0.88187
[102]	train-mlogloss:0.90399	validation-mlogloss:0.87920
[103]	train-mlogloss:0.90152	validation-mlogloss:0.87653
[104]	train-mlogloss:0.89901	validation-mlogloss:0.87387
[105]	train-mlogloss:0.89648	validation-mlogloss:0.87120
[106]	train-mlogloss:0.89389	validation-mlogloss:0.86842
[107]	train-mlogloss:0.89131	validation-mlogloss:0.86568
[108]	train-mlogloss:0.88878	validation-mlogloss:0.86296
[109]	train-mlogloss:0.88631	validation-mlogloss:0.86030
[110]	train-mlogloss:0.88396	validation-mlogloss:0.85779
[111]	train-mlogloss:0.88145	validation-mlogloss:0.85500
[112]	train-mlogloss:0.87903	validation-mlogloss:0.85232
[113]	train-mlogloss:0.87672	validation-mlogloss:0.84989
[114]	train-mlogloss:0.87435	validation-mlogloss:0.84733
[115]	train-mlogloss:0.87194	validation-mlogloss:0.84480
[116]	train-mlogloss:0.86972	validation-mlogloss:0.84251
[117]	train-mlogloss:0.86745	validation-mlogloss:0.84006
[118]	train-mlogloss:0.86516	validation-mlogloss:0.83754
[119]	train-mlogloss:0.86296	validation-mlogloss:0.83524
[120]	train-mlogloss:0.86073	validation-mlogloss:0.83289
[121]	train-mlogloss:0.85850	validation-mlogloss:0.83044
[122]	train-mlogloss:0.85636	validation-mlogloss:0.82823
[123]	train-mlogloss:0.85421	validation-mlogloss:0.82589
[124]	train-mlogloss:0.85214	validation-mlogloss:0.82371
[125]	train-mlogloss:0.85008	validation-mlogloss:0.82156
[126]	train-mlogloss:0.84801	validation-mlogloss:0.81932
[127]	train-mlogloss:0.84596	validation-mlogloss:0.81712
[128]	train-mlogloss:0.84401	validation-mlogloss:0.81497
[129]	train-mlogloss:0.84200	validation-mlogloss:0.81282
[130]	train-mlogloss:0.83996	validation-mlogloss:0.81052
[131]	train-mlogloss:0.83789	validation-mlogloss:0.80829
[132]	train-mlogloss:0.83596	validation-mlogloss:0.80625
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[134]	train-mlogloss:0.83203	validation-mlogloss:0.80199
[135]	train-mlogloss:0.83013	validation-mlogloss:0.79992
[136]	train-mlogloss:0.82815	validation-mlogloss:0.79787
[137]	train-mlogloss:0.82616	validation-mlogloss:0.79563
[138]	train-mlogloss:0.82423	validation-mlogloss:0.79352
[139]	train-mlogloss:0.82238	validation-mlogloss:0.79155
[140]	train-mlogloss:0.82058	validation-mlogloss:0.78959
[141]	train-mlogloss:0.81872	validation-mlogloss:0.78756
[142]	train-mlogloss:0.81680	validation-mlogloss:0.78548
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[144]	train-mlogloss:0.81323	validation-mlogloss:0.78167
[145]	train-mlogloss:0.81134	validation-mlogloss:0.77956
[146]	train-mlogloss:0.80958	validation-mlogloss:0.77758
[147]	train-mlogloss:0.80789	validation-mlogloss:0.77572
[148]	train-mlogloss:0.80616	validation-mlogloss:0.77384
[149]	train-mlogloss:0.80447	validation-mlogloss:0.77201
[150]	train-mlogloss:0.80279	validation-mlogloss:0.77018
[151]	train-mlogloss:0.80103	validation-mlogloss:0.76835
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[155]	train-mlogloss:0.79439	validation-mlogloss:0.76103
[156]	train-mlogloss:0.79273	validation-mlogloss:0.75911
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[244]	train-mlogloss:0.69122	validation-mlogloss:0.64654
[245]	train-mlogloss:0.69043	validation-mlogloss:0.64570
[246]	train-mlogloss:0.68968	validation-mlogloss:0.64487
[247]	train-mlogloss:0.68886	validation-mlogloss:0.64406
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[258]	train-mlogloss:0.68048	validation-mlogloss:0.63465
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[263]	train-mlogloss:0.67690	validation-mlogloss:0.63059
[264]	train-mlogloss:0.67617	validation-mlogloss:0.62980
[265]	train-mlogloss:0.67548	validation-mlogloss:0.62902
[266]	train-mlogloss:0.67475	validation-mlogloss:0.62824
[267]	train-mlogloss:0.67409	validation-mlogloss:0.62740
[268]	train-mlogloss:0.67347	validation-mlogloss:0.62671
[269]	train-mlogloss:0.67279	validation-mlogloss:0.62592
[270]	train-mlogloss:0.67207	validation-mlogloss:0.62516
[271]	train-mlogloss:0.67145	validation-mlogloss:0.62444
[272]	train-mlogloss:0.67081	validation-mlogloss:0.62369
[273]	train-mlogloss:0.67013	validation-mlogloss:0.62288
[274]	train-mlogloss:0.66943	validation-mlogloss:0.62215
[275]	train-mlogloss:0.66868	validation-mlogloss:0.62133
[276]	train-mlogloss:0.66805	validation-mlogloss:0.62059
[277]	train-mlogloss:0.66741	validation-mlogloss:0.61989
[278]	train-mlogloss:0.66684	validation-mlogloss:0.61925
[279]	train-mlogloss:0.66636	validation-mlogloss:0.61864
[280]	train-mlogloss:0.66579	validation-mlogloss:0.61802
[281]	train-mlogloss:0.66521	validation-mlogloss:0.61733
[282]	train-mlogloss:0.66462	validation-mlogloss:0.61665
[283]	train-mlogloss:0.66402	validation-mlogloss:0.61605
[284]	train-mlogloss:0.66347	validation-mlogloss:0.61541
[285]	train-mlogloss:0.66288	validation-mlogloss:0.61468
[286]	train-mlogloss:0.66226	validation-mlogloss:0.61397
[287]	train-mlogloss:0.66162	validation-mlogloss:0.61331
[288]	train-mlogloss:0.66095	validation-mlogloss:0.61257
[289]	train-mlogloss:0.66039	validation-mlogloss:0.61193
[290]	train-mlogloss:0.65981	validation-mlogloss:0.61127
[291]	train-mlogloss:0.65929	validation-mlogloss:0.61062
[292]	train-mlogloss:0.65872	validation-mlogloss:0.60997
[293]	train-mlogloss:0.65812	validation-mlogloss:0.60930
[294]	train-mlogloss:0.65752	validation-mlogloss:0.60863
[295]	train-mlogloss:0.65698	validation-mlogloss:0.60799
[296]	train-mlogloss:0.65646	validation-mlogloss:0.60742
[297]	train-mlogloss:0.65584	validation-mlogloss:0.60675
[298]	train-mlogloss:0.65529	validation-mlogloss:0.60611
[299]	train-mlogloss:0.65472	validation-mlogloss:0.60546
[300]	train-mlogloss:0.65416	validation-mlogloss:0.60486
[301]	train-mlogloss:0.65359	validation-mlogloss:0.60415
[302]	train-mlogloss:0.65289	validation-mlogloss:0.60340
[303]	train-mlogloss:0.65240	validation-mlogloss:0.60284
[304]	train-mlogloss:0.65178	validation-mlogloss:0.60219
[305]	train-mlogloss:0.65120	validation-mlogloss:0.60153
[306]	train-mlogloss:0.65068	validation-mlogloss:0.60093
[307]	train-mlogloss:0.65010	validation-mlogloss:0.60034
[308]	train-mlogloss:0.64958	validation-mlogloss:0.59972
[309]	train-mlogloss:0.64907	validation-mlogloss:0.59907
[310]	train-mlogloss:0.64853	validation-mlogloss:0.59846
[311]	train-mlogloss:0.64805	validation-mlogloss:0.59790
[312]	train-mlogloss:0.64759	validation-mlogloss:0.59733
[313]	train-mlogloss:0.64713	validation-mlogloss:0.59677
[314]	train-mlogloss:0.64663	validation-mlogloss:0.59622
[315]	train-mlogloss:0.64617	validation-mlogloss:0.59569
[316]	train-mlogloss:0.64566	validation-mlogloss:0.59513
[317]	train-mlogloss:0.64522	validation-mlogloss:0.59465
[318]	train-mlogloss:0.64477	validation-mlogloss:0.59418
[319]	train-mlogloss:0.64426	validation-mlogloss:0.59356
[320]	train-mlogloss:0.64381	validation-mlogloss:0.59306
[321]	train-mlogloss:0.64330	validation-mlogloss:0.59246
[322]	train-mlogloss:0.64286	validation-mlogloss:0.59196
[323]	train-mlogloss:0.64243	validation-mlogloss:0.59147
[324]	train-mlogloss:0.64203	validation-mlogloss:0.59101
[325]	train-mlogloss:0.64164	validation-mlogloss:0.59055
[326]	train-mlogloss:0.64128	validation-mlogloss:0.59011
[327]	train-mlogloss:0.64079	validation-mlogloss:0.58957
[328]	train-mlogloss:0.64030	validation-mlogloss:0.58900
[329]	train-mlogloss:0.63992	validation-mlogloss:0.58856
[330]	train-mlogloss:0.63950	validation-mlogloss:0.58804
[331]	train-mlogloss:0.63907	validation-mlogloss:0.58756
[332]	train-mlogloss:0.63860	validation-mlogloss:0.58705
[333]	train-mlogloss:0.63816	validation-mlogloss:0.58656
[334]	train-mlogloss:0.63772	validation-mlogloss:0.58607
[335]	train-mlogloss:0.63732	validation-mlogloss:0.58557
[336]	train-mlogloss:0.63689	validation-mlogloss:0.58509
[337]	train-mlogloss:0.63642	validation-mlogloss:0.58456
[338]	train-mlogloss:0.63599	validation-mlogloss:0.58407
[339]	train-mlogloss:0.63561	validation-mlogloss:0.58358
[340]	train-mlogloss:0.63521	validation-mlogloss:0.58310
[341]	train-mlogloss:0.63484	validation-mlogloss:0.58271
[342]	train-mlogloss:0.63444	validation-mlogloss:0.58226
[343]	train-mlogloss:0.63405	validation-mlogloss:0.58180
[344]	train-mlogloss:0.63366	validation-mlogloss:0.58138
[345]	train-mlogloss:0.63325	validation-mlogloss:0.58091
[346]	train-mlogloss:0.63283	validation-mlogloss:0.58048
[347]	train-mlogloss:0.63240	validation-mlogloss:0.58000
[348]	train-mlogloss:0.63200	validation-mlogloss:0.57952
[349]	train-mlogloss:0.63164	validation-mlogloss:0.57913
[350]	train-mlogloss:0.63127	validation-mlogloss:0.57872
[351]	train-mlogloss:0.63090	validation-mlogloss:0.57832
[352]	train-mlogloss:0.63052	validation-mlogloss:0.57792
[353]	train-mlogloss:0.63022	validation-mlogloss:0.57757
[354]	train-mlogloss:0.62982	validation-mlogloss:0.57708
[355]	train-mlogloss:0.62943	validation-mlogloss:0.57660
[356]	train-mlogloss:0.62906	validation-mlogloss:0.57614
[357]	train-mlogloss:0.62876	validation-mlogloss:0.57577
[358]	train-mlogloss:0.62845	validation-mlogloss:0.57543
[359]	train-mlogloss:0.62810	validation-mlogloss:0.57507
[360]	train-mlogloss:0.62774	validation-mlogloss:0.57467
[361]	train-mlogloss:0.62737	validation-mlogloss:0.57423
[362]	train-mlogloss:0.62703	validation-mlogloss:0.57383
[363]	train-mlogloss:0.62672	validation-mlogloss:0.57342
[364]	train-mlogloss:0.62642	validation-mlogloss:0.57312
[365]	train-mlogloss:0.62613	validation-mlogloss:0.57280
[366]	train-mlogloss:0.62583	validation-mlogloss:0.57251
[367]	train-mlogloss:0.62543	validation-mlogloss:0.57209
[368]	train-mlogloss:0.62511	validation-mlogloss:0.57176
[369]	train-mlogloss:0.62474	validation-mlogloss:0.57134
[370]	train-mlogloss:0.62437	validation-mlogloss:0.57091
[371]	train-mlogloss:0.62406	validation-mlogloss:0.57057
[372]	train-mlogloss:0.62376	validation-mlogloss:0.57021
[373]	train-mlogloss:0.62345	validation-mlogloss:0.56986
[374]	train-mlogloss:0.62310	validation-mlogloss:0.56946
[375]	train-mlogloss:0.62285	validation-mlogloss:0.56918
[376]	train-mlogloss:0.62258	validation-mlogloss:0.56886
[377]	train-mlogloss:0.62228	validation-mlogloss:0.56848
[378]	train-mlogloss:0.62196	validation-mlogloss:0.56813
[379]	train-mlogloss:0.62174	validation-mlogloss:0.56789
[380]	train-mlogloss:0.62151	validation-mlogloss:0.56763
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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 2 ... 0 0 0]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 75.46 [%]
Global accuracy score (test) = 78.43 [%]
Global F1 score (train) = 75.64 [%]
Global F1 score (test) = 79.19 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.61      0.63      0.62       350
MODERATE-INTENSITY       0.61      0.67      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.98      0.90      0.94       322

          accuracy                           0.78      1372
         macro avg       0.80      0.79      0.79      1372
      weighted avg       0.80      0.78      0.79      1372


Accuracy capturado en la ejecución 29: 78.43 [%]
F1-score capturado en la ejecución 29: 79.19 [%]

=== 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.
(1372, 42)
(9708, 42)
[[2.]
 [2.]
 [2.]
 ...
 [0.]
 [0.]
 [0.]]
(1372, 1)
[2 2 1 ... 1 0 1]
(1372,)
-------------------------------------------------

Global accuracy score (train) = 74.56 [%]
Global accuracy score (test) = 77.92 [%]
Global F1 score (train) = 74.54 [%]
Global F1 score (test) = 78.53 [%]
                    precision    recall  f1-score   support

   LIGHT-INTENSITY       0.64      0.56      0.60       350
MODERATE-INTENSITY       0.59      0.72      0.64       350
         SEDENTARY       0.99      0.95      0.97       350
VIGOROUS-INTENSITY       0.97      0.90      0.93       322

          accuracy                           0.78      1372
         macro avg       0.79      0.78      0.79      1372
      weighted avg       0.79      0.78      0.78      1372


Accuracy capturado en la ejecución 30: 77.92 [%]
F1-score capturado en la ejecución 30: 78.53 [%]

=== RESUMEN FINAL ===
Accuracies: [78.06, 78.28, 78.43, 77.33, 77.33, 77.77, 77.62, 76.82, 77.99, 77.84, 76.09, 76.68, 77.33, 78.5, 77.84, 78.13, 78.79, 77.62, 78.21, 76.09, 77.55, 78.94, 76.97, 76.9, 78.64, 77.55, 77.26, 76.53, 78.43, 77.92]
F1-scores: [78.8, 78.91, 79.13, 78.01, 78.16, 78.49, 78.46, 77.63, 78.71, 78.47, 76.82, 77.52, 78.06, 79.26, 78.36, 78.81, 79.43, 78.35, 78.84, 76.92, 78.27, 79.65, 77.58, 77.68, 79.24, 78.4, 77.97, 77.32, 79.19, 78.53]
Accuracy mean: 77.6480 | std: 0.7422
F1 mean: 78.3657 | std: 0.7081

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