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evalml_debug.log
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evalml_debug.log
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08/19/2021 10:14:50 AM - INFO - automl_search.py: Generating pipelines to search over...
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - automl_search.py: allowed_estimators set to ['Decision Tree Classifier', 'LightGBM Classifier', 'Extra Trees Classifier', 'Elastic Net Classifier', 'CatBoost Classifier', 'XGBoost Classifier', 'Random Forest Classifier', 'Logistic Regression Classifier']
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:51 AM - INFO - automl_search.py: 8 pipelines ready for search.
08/19/2021 10:14:51 AM - DEBUG - automl_search.py: allowed_pipelines set to ['Decision Tree Classifier w/ Imputer', 'LightGBM Classifier w/ Imputer', 'Extra Trees Classifier w/ Imputer', 'Elastic Net Classifier w/ Imputer + Standard Scaler', 'CatBoost Classifier w/ Imputer', 'XGBoost Classifier w/ Imputer', 'Random Forest Classifier w/ Imputer', 'Logistic Regression Classifier w/ Imputer + Standard Scaler']
08/19/2021 10:14:51 AM - DEBUG - automl_search.py: allowed_model_families set to [ModelFamily.DECISION_TREE, ModelFamily.LIGHTGBM, ModelFamily.EXTRA_TREES, ModelFamily.LINEAR_MODEL, ModelFamily.XGBOOST, ModelFamily.RANDOM_FOREST, ModelFamily.CATBOOST]
08/19/2021 10:14:51 AM - INFO - logger.py:
*****************************
08/19/2021 10:14:51 AM - INFO - logger.py: * Beginning pipeline search *
08/19/2021 10:14:51 AM - INFO - logger.py: *****************************
08/19/2021 10:14:51 AM - INFO - logger.py:
08/19/2021 10:14:51 AM - INFO - automl_search.py: Optimizing for Log Loss Binary.
08/19/2021 10:14:51 AM - INFO - automl_search.py: Lower score is better.
08/19/2021 10:14:51 AM - INFO - automl_search.py: Using SequentialEngine to train and score pipelines.
08/19/2021 10:14:51 AM - INFO - automl_search.py: Will stop searching for new pipelines after 300 seconds.
08/19/2021 10:14:51 AM - INFO - automl_search.py: Allowed model families: decision_tree, lightgbm, extra_trees, linear_model, xgboost, random_forest, catboost
08/19/2021 10:14:52 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:52 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:14:52 AM - INFO - automl_search.py: Evaluating Baseline Pipeline: Mode Baseline Binary Classification Pipeline
08/19/2021 10:14:54 AM - INFO - engine_base.py: Mode Baseline Binary Classification Pipeline:
08/19/2021 10:14:54 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.000)
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 9.297
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.000)
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 9.306
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.000)
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:14:54 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 9.306
08/19/2021 10:14:54 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 9.303
08/19/2021 10:14:54 AM - INFO - logger.py:
*****************************
08/19/2021 10:14:54 AM - INFO - logger.py: * Evaluating Batch Number 1 *
08/19/2021 10:14:54 AM - INFO - logger.py: *****************************
08/19/2021 10:14:54 AM - INFO - logger.py:
08/19/2021 10:14:57 AM - INFO - engine_base.py: Elastic Net Classifier w/ Imputer + Standard Scaler:
08/19/2021 10:14:57 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.222)
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.553
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.220)
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.555
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.237)
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:14:57 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.560
08/19/2021 10:14:57 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.556
08/19/2021 10:14:59 AM - INFO - engine_base.py: Decision Tree Classifier w/ Imputer:
08/19/2021 10:14:59 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.333)
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.534
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.329)
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.633
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.265)
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:14:59 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.615
08/19/2021 10:14:59 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.594
08/19/2021 10:15:03 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:15:03 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.306)
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.459
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.317)
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.462
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.317)
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:15:03 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.465
08/19/2021 10:15:03 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.462
08/19/2021 10:15:05 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:15:05 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.333)
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.377
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.343)
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.379
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.340)
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:15:05 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.402
08/19/2021 10:15:05 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.386
08/19/2021 10:15:17 AM - INFO - automl_search.py: Exiting AutoMLSearch.
08/19/2021 10:15:17 AM - INFO - automl_search.py:
Search finished after 00:24
08/19/2021 10:15:18 AM - INFO - automl_search.py: Best pipeline: LightGBM Classifier w/ Imputer
08/19/2021 10:15:18 AM - INFO - automl_search.py: Best pipeline Log Loss Binary: 0.385990
08/19/2021 10:15:18 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:15:18 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:34 AM - INFO - automl_search.py: Generating pipelines to search over...
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - automl_search.py: allowed_estimators set to ['Decision Tree Classifier', 'LightGBM Classifier', 'Extra Trees Classifier', 'Elastic Net Classifier', 'CatBoost Classifier', 'XGBoost Classifier', 'Random Forest Classifier', 'Logistic Regression Classifier']
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:35 AM - INFO - automl_search.py: 8 pipelines ready for search.
08/19/2021 10:36:35 AM - DEBUG - automl_search.py: allowed_pipelines set to ['Decision Tree Classifier w/ Imputer', 'LightGBM Classifier w/ Imputer', 'Extra Trees Classifier w/ Imputer', 'Elastic Net Classifier w/ Imputer + Standard Scaler', 'CatBoost Classifier w/ Imputer', 'XGBoost Classifier w/ Imputer', 'Random Forest Classifier w/ Imputer', 'Logistic Regression Classifier w/ Imputer + Standard Scaler']
08/19/2021 10:36:35 AM - DEBUG - automl_search.py: allowed_model_families set to [ModelFamily.XGBOOST, ModelFamily.RANDOM_FOREST, ModelFamily.CATBOOST, ModelFamily.EXTRA_TREES, ModelFamily.LIGHTGBM, ModelFamily.DECISION_TREE, ModelFamily.LINEAR_MODEL]
08/19/2021 10:36:35 AM - INFO - logger.py:
*****************************
08/19/2021 10:36:35 AM - INFO - logger.py: * Beginning pipeline search *
08/19/2021 10:36:35 AM - INFO - logger.py: *****************************
08/19/2021 10:36:35 AM - INFO - logger.py:
08/19/2021 10:36:35 AM - INFO - automl_search.py: Optimizing for Log Loss Binary.
08/19/2021 10:36:35 AM - INFO - automl_search.py: Lower score is better.
08/19/2021 10:36:35 AM - INFO - automl_search.py: Using SequentialEngine to train and score pipelines.
08/19/2021 10:36:35 AM - INFO - automl_search.py: Will stop searching for new pipelines after 300 seconds.
08/19/2021 10:36:35 AM - INFO - automl_search.py: Allowed model families: xgboost, random_forest, catboost, extra_trees, lightgbm, decision_tree, linear_model
08/19/2021 10:36:36 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:36 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:36:36 AM - INFO - automl_search.py: Evaluating Baseline Pipeline: Mode Baseline Binary Classification Pipeline
08/19/2021 10:36:38 AM - INFO - engine_base.py: Mode Baseline Binary Classification Pipeline:
08/19/2021 10:36:38 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.000)
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 9.471
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.000)
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 9.471
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.000)
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:38 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 9.471
08/19/2021 10:36:38 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 9.471
08/19/2021 10:36:38 AM - INFO - logger.py:
*****************************
08/19/2021 10:36:38 AM - INFO - logger.py: * Evaluating Batch Number 1 *
08/19/2021 10:36:38 AM - INFO - logger.py: *****************************
08/19/2021 10:36:38 AM - INFO - logger.py:
08/19/2021 10:36:41 AM - INFO - engine_base.py: Elastic Net Classifier w/ Imputer + Standard Scaler:
08/19/2021 10:36:41 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.201)
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.557
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.236)
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.558
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.230)
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:41 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.565
08/19/2021 10:36:41 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.560
08/19/2021 10:36:44 AM - INFO - engine_base.py: Decision Tree Classifier w/ Imputer:
08/19/2021 10:36:44 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (-0.000)
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.651
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (-0.000)
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.555
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (-0.000)
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:44 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.585
08/19/2021 10:36:44 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.597
08/19/2021 10:36:48 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:36:48 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.297)
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.454
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.291)
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.456
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.314)
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:48 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.470
08/19/2021 10:36:48 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.460
08/19/2021 10:36:50 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:36:50 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.322)
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.382
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.365)
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.385
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.377)
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:50 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.401
08/19/2021 10:36:50 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.389
08/19/2021 10:36:54 AM - INFO - engine_base.py: Logistic Regression Classifier w/ Imputer + Standard Scaler:
08/19/2021 10:36:54 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.200)
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.557
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.236)
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.558
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.225)
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:54 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.565
08/19/2021 10:36:54 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.560
08/19/2021 10:36:58 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:36:58 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.326)
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.387
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.321)
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.390
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.295)
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:36:58 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.409
08/19/2021 10:36:58 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.395
08/19/2021 10:37:01 AM - INFO - engine_base.py: Extra Trees Classifier w/ Imputer:
08/19/2021 10:37:01 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.297)
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.543
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.287)
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.544
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.298)
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:01 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.549
08/19/2021 10:37:01 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.545
08/19/2021 10:37:02 AM - INFO - engine_base.py: CatBoost Classifier w/ Imputer:
08/19/2021 10:37:02 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.442)
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.627
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.436)
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.629
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.435)
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:02 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.629
08/19/2021 10:37:02 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.628
08/19/2021 10:37:03 AM - INFO - logger.py:
*****************************
08/19/2021 10:37:03 AM - INFO - logger.py: * Evaluating Batch Number 2 *
08/19/2021 10:37:03 AM - INFO - logger.py: *****************************
08/19/2021 10:37:03 AM - INFO - logger.py:
08/19/2021 10:37:05 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:37:05 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.227)
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.476
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.246)
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.482
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.349)
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:05 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.493
08/19/2021 10:37:05 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.484
08/19/2021 10:37:07 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:37:07 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.264)
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.515
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.200)
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.517
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.242)
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:07 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.526
08/19/2021 10:37:07 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.519
08/19/2021 10:37:09 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:37:09 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.259)
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.489
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.277)
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.487
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.253)
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:09 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.497
08/19/2021 10:37:09 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.491
08/19/2021 10:37:10 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:37:10 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.434)
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.593
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.261)
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.620
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.213)
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:11 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.613
08/19/2021 10:37:11 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.609
08/19/2021 10:37:13 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:37:13 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.367)
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.401
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.367)
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.407
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.383)
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:13 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.424
08/19/2021 10:37:13 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.411
08/19/2021 10:37:13 AM - INFO - logger.py:
*****************************
08/19/2021 10:37:13 AM - INFO - logger.py: * Evaluating Batch Number 3 *
08/19/2021 10:37:13 AM - INFO - logger.py: *****************************
08/19/2021 10:37:13 AM - INFO - logger.py:
08/19/2021 10:37:21 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:37:21 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.149)
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.634
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.349)
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.652
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.220)
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:21 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.652
08/19/2021 10:37:21 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.646
08/19/2021 10:37:32 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:37:32 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.100)
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.593
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.373)
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.601
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.267)
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:32 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.623
08/19/2021 10:37:32 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.606
08/19/2021 10:37:55 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:37:55 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.326)
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.558
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.147)
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.556
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.156)
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:37:55 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.585
08/19/2021 10:37:55 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.567
08/19/2021 10:38:08 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:38:08 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.322)
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.450
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.266)
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.457
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.270)
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:38:08 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.471
08/19/2021 10:38:08 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.459
08/19/2021 10:38:12 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:38:12 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.257)
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.502
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.279)
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.501
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.276)
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:38:12 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.513
08/19/2021 10:38:12 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.506
08/19/2021 10:38:12 AM - INFO - logger.py:
*****************************
08/19/2021 10:38:12 AM - INFO - logger.py: * Evaluating Batch Number 4 *
08/19/2021 10:38:12 AM - INFO - logger.py: *****************************
08/19/2021 10:38:12 AM - INFO - logger.py:
08/19/2021 10:38:41 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:38:41 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.266)
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.500
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.267)
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.502
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.309)
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:38:41 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.511
08/19/2021 10:38:41 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.504
08/19/2021 10:39:00 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:39:00 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.277)
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.549
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.269)
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.549
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.264)
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:39:00 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.553
08/19/2021 10:39:00 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.550
08/19/2021 10:39:41 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:39:41 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.293)
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.475
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.274)
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.478
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.317)
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:39:41 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.490
08/19/2021 10:39:41 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.481
08/19/2021 10:40:10 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:40:10 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.280)
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.549
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.263)
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.549
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.268)
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:40:10 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.554
08/19/2021 10:40:10 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.551
08/19/2021 10:40:51 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:40:51 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.297)
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.475
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.271)
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.478
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.313)
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:40:51 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.489
08/19/2021 10:40:51 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.481
08/19/2021 10:40:51 AM - INFO - logger.py:
*****************************
08/19/2021 10:40:51 AM - INFO - logger.py: * Evaluating Batch Number 5 *
08/19/2021 10:40:51 AM - INFO - logger.py: *****************************
08/19/2021 10:40:51 AM - INFO - logger.py:
08/19/2021 10:41:18 AM - INFO - engine_base.py: Extra Trees Classifier w/ Imputer:
08/19/2021 10:41:18 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.293)
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.553
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.288)
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.553
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.299)
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:41:19 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.558
08/19/2021 10:41:19 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.555
08/19/2021 10:41:38 AM - INFO - engine_base.py: Extra Trees Classifier w/ Imputer:
08/19/2021 10:41:38 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.291)
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.562
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.291)
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.562
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.289)
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:41:38 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.565
08/19/2021 10:41:38 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.563
08/19/2021 10:41:39 AM - INFO - automl_search.py:
Search finished after 05:02
08/19/2021 10:41:40 AM - INFO - automl_search.py: Best pipeline: LightGBM Classifier w/ Imputer
08/19/2021 10:41:40 AM - INFO - automl_search.py: Best pipeline Log Loss Binary: 0.389436
08/19/2021 10:41:40 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:41 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:41 AM - INFO - automl_search.py: Generating pipelines to search over...
08/19/2021 10:41:41 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:41 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:41 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:41 AM - DEBUG - automl_search.py: allowed_estimators set to ['Decision Tree Classifier', 'LightGBM Classifier', 'Extra Trees Classifier', 'Elastic Net Classifier', 'CatBoost Classifier', 'XGBoost Classifier', 'Random Forest Classifier', 'Logistic Regression Classifier']
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - INFO - automl_search.py: 8 pipelines ready for search.
08/19/2021 10:41:42 AM - DEBUG - automl_search.py: allowed_pipelines set to ['Decision Tree Classifier w/ Imputer', 'LightGBM Classifier w/ Imputer', 'Extra Trees Classifier w/ Imputer', 'Elastic Net Classifier w/ Imputer + Standard Scaler', 'CatBoost Classifier w/ Imputer', 'XGBoost Classifier w/ Imputer', 'Random Forest Classifier w/ Imputer', 'Logistic Regression Classifier w/ Imputer + Standard Scaler']
08/19/2021 10:41:42 AM - DEBUG - automl_search.py: allowed_model_families set to [ModelFamily.XGBOOST, ModelFamily.RANDOM_FOREST, ModelFamily.CATBOOST, ModelFamily.EXTRA_TREES, ModelFamily.LIGHTGBM, ModelFamily.DECISION_TREE, ModelFamily.LINEAR_MODEL]
08/19/2021 10:41:42 AM - INFO - logger.py:
*****************************
08/19/2021 10:41:42 AM - INFO - logger.py: * Beginning pipeline search *
08/19/2021 10:41:42 AM - INFO - logger.py: *****************************
08/19/2021 10:41:42 AM - INFO - logger.py:
08/19/2021 10:41:42 AM - INFO - automl_search.py: Optimizing for Log Loss Binary.
08/19/2021 10:41:42 AM - INFO - automl_search.py: Lower score is better.
08/19/2021 10:41:42 AM - INFO - automl_search.py: Using SequentialEngine to train and score pipelines.
08/19/2021 10:41:42 AM - INFO - automl_search.py: Will stop searching for new pipelines after 300 seconds.
08/19/2021 10:41:42 AM - INFO - automl_search.py: Allowed model families: xgboost, random_forest, catboost, extra_trees, lightgbm, decision_tree, linear_model
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - DEBUG - gen_utils.py: Could not import class ProphetRegressor in get_importable_subclasses
08/19/2021 10:41:42 AM - INFO - automl_search.py: Evaluating Baseline Pipeline: Mode Baseline Binary Classification Pipeline
08/19/2021 10:41:46 AM - INFO - engine_base.py: Mode Baseline Binary Classification Pipeline:
08/19/2021 10:41:46 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.000)
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 9.306
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.000)
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 9.306
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.000)
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:41:46 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 9.315
08/19/2021 10:41:46 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 9.309
08/19/2021 10:41:46 AM - INFO - logger.py:
*****************************
08/19/2021 10:41:46 AM - INFO - logger.py: * Evaluating Batch Number 1 *
08/19/2021 10:41:46 AM - INFO - logger.py: *****************************
08/19/2021 10:41:46 AM - INFO - logger.py:
08/19/2021 10:41:53 AM - INFO - engine_base.py: Elastic Net Classifier w/ Imputer + Standard Scaler:
08/19/2021 10:41:53 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.203)
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.557
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.239)
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.555
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.241)
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:41:53 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.554
08/19/2021 10:41:53 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.556
08/19/2021 10:41:57 AM - INFO - engine_base.py: Decision Tree Classifier w/ Imputer:
08/19/2021 10:41:57 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (-0.000)
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.551
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.280)
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.583
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.288)
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:41:57 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.547
08/19/2021 10:41:57 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.560
08/19/2021 10:42:07 AM - INFO - engine_base.py: Random Forest Classifier w/ Imputer:
08/19/2021 10:42:07 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.324)
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.462
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.302)
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.464
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.349)
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:42:07 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.454
08/19/2021 10:42:07 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.460
08/19/2021 10:42:11 AM - INFO - engine_base.py: LightGBM Classifier w/ Imputer:
08/19/2021 10:42:11 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.295)
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.404
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.346)
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.399
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.355)
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:42:11 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.383
08/19/2021 10:42:11 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.395
08/19/2021 10:42:20 AM - INFO - engine_base.py: Logistic Regression Classifier w/ Imputer + Standard Scaler:
08/19/2021 10:42:20 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.203)
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.557
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.233)
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.555
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.241)
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:42:20 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.554
08/19/2021 10:42:20 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.555
08/19/2021 10:42:30 AM - INFO - engine_base.py: XGBoost Classifier w/ Imputer:
08/19/2021 10:42:30 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.302)
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.408
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 1: starting training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 1: finished training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 1: Optimal threshold found (0.312)
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 1: Scoring trained pipeline
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 1: Log Loss Binary score: 0.398
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Training and scoring on fold 2
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 2: starting training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 2: finished training
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 2: Optimal threshold found (0.354)
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 2: Scoring trained pipeline
08/19/2021 10:42:31 AM - DEBUG - engine_base.py: Fold 2: Log Loss Binary score: 0.389
08/19/2021 10:42:31 AM - INFO - engine_base.py: Finished cross validation - mean Log Loss Binary: 0.398
08/19/2021 10:42:37 AM - INFO - engine_base.py: Extra Trees Classifier w/ Imputer:
08/19/2021 10:42:37 AM - INFO - engine_base.py: Starting cross validation
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Training and scoring on fold 0
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 0: starting training
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 0: finished training
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 0: Optimal threshold found (0.297)
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 0: Scoring trained pipeline
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 0: Log Loss Binary score: 0.540
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Training and scoring on fold 1
08/19/2021 10:42:37 AM - DEBUG - engine_base.py: Fold 1: starting training