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logs.log
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2020-11-11 19:58:32,739:INFO:PyCaret Supervised Module
2020-11-11 19:58:32,739:INFO:ML Usecase: classification
2020-11-11 19:58:32,739:INFO:version 2.2.1
2020-11-11 19:58:32,739:INFO:Initializing setup()
2020-11-11 19:58:32,740:INFO:setup(display=None, profile_kwargs=None, profile=False, verbose=True, silent=False, log_data=False, log_profile=False, log_plots=False, experiment_name=None, log_experiment=False, session_id=42, html=True, custom_pipeline=None, use_gpu=False, n_jobs=-1, fold_groups=None, fold_shuffle=False, fold=10, fold_strategy=stratifiedkfold, data_split_stratify=False, data_split_shuffle=True, transform_target_method=box-cox, transform_target=False, fix_imbalance_method=None, fix_imbalance=False, interaction_threshold=0.01, feature_ratio=False, feature_interaction=False, feature_selection_method=classic, feature_selection_threshold=0.8, feature_selection=False, group_names=None, group_features=None, polynomial_threshold=0.1, trigonometry_features=False, polynomial_degree=2, polynomial_features=False, cluster_iter=20, create_clusters=False, remove_perfect_collinearity=True, multicollinearity_threshold=0.9, remove_multicollinearity=False, outliers_threshold=0.05, remove_outliers=False, bin_numeric_features=None, rare_level_threshold=0.1, combine_rare_levels=False, ignore_low_variance=False, pca_components=None, pca_method=linear, pca=False, unknown_categorical_method=least_frequent, handle_unknown_categorical=True, transformation_method=yeo-johnson, transformation=False, normalize_method=zscore, normalize=False, ignore_features=None, date_features=None, numeric_iterative_imputer=lightgbm, numeric_imputation=mean, numeric_features=None, high_cardinality_method=frequency, high_cardinality_features=None, ordinal_features=None, categorical_iterative_imputer=lightgbm, categorical_imputation=constant, categorical_features=None, iterative_imputation_iters=5, imputation_type=simple, preprocess=True, test_data=None, train_size=0.7, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, ml_usecase=classification, target=target)
2020-11-11 19:58:32,740:INFO:Checking environment
2020-11-11 19:58:32,740:INFO:python_version: 3.6.12
2020-11-11 19:58:32,740:INFO:python_build: ('default', 'Sep 8 2020 23:10:56')
2020-11-11 19:58:32,740:INFO:machine: x86_64
2020-11-11 19:58:32,741:INFO:platform: Linux-4.4.0-19041-Microsoft-x86_64-with-debian-bullseye-sid
2020-11-11 19:58:32,742:INFO:Memory: svmem(total=17005375488, available=7388028928, percent=56.6, used=9575591936, free=7194927104, active=171577344, inactive=161665024, buffers=34848768, cached=200007680, shared=18145280, slab=14200832)
2020-11-11 19:58:32,743:INFO:Physical Core: 4
2020-11-11 19:58:32,743:INFO:Logical Core: 8
2020-11-11 19:58:32,743:INFO:Checking libraries
2020-11-11 19:58:32,743:INFO:pd==1.1.4
2020-11-11 19:58:32,743:INFO:numpy==1.19.4
2020-11-11 19:58:32,743:INFO:sklearn==0.23.2
2020-11-11 19:58:32,763:INFO:xgboost==1.2.1
2020-11-11 19:58:32,763:INFO:lightgbm==3.0.0
2020-11-11 19:58:32,792:INFO:catboost==0.24.2
2020-11-11 19:58:33,374:INFO:mlflow==1.11.0
2020-11-11 19:58:33,374:INFO:Checking Exceptions
2020-11-11 19:58:33,374:INFO:Declaring global variables
2020-11-11 19:58:33,374:INFO:USI: c665
2020-11-11 19:58:33,374:INFO:pycaret_globals: {'transform_target_method_param', 'imputation_classifier', 'stratify_param', 'html_param', 'pycaret_globals', 'iterative_imputation_iters_param', 'fix_imbalance_method_param', '_all_models_internal', 'gpu_param', 'fix_imbalance_param', 'X_train', 'fold_generator', '_ml_usecase', 'USI', 'X', 'fold_shuffle_param', '_gpu_n_jobs_param', 'exp_name_log', 'y_test', 'imputation_regressor', 'seed', 'logging_param', 'fold_param', 'display_container', 'n_jobs_param', 'transform_target_param', 'X_test', '_available_plots', 'prep_pipe', 'experiment__', '_all_models', 'log_plots_param', 'create_model_container', '_all_metrics', 'fold_groups_param', 'y', 'target_param', 'y_train', 'data_before_preprocess', '_internal_pipeline', 'master_model_container'}
2020-11-11 19:58:33,374:INFO:Preparing display monitor
2020-11-11 19:58:33,374:INFO:Preparing display monitor
2020-11-11 19:58:33,392:INFO:Importing libraries
2020-11-11 19:58:33,392:INFO:Copying data for preprocessing
2020-11-11 19:58:33,447:INFO:Declaring preprocessing parameters
2020-11-11 19:58:33,545:INFO:Creating preprocessing pipeline
2020-11-11 19:58:34,034:INFO:Preprocessing pipeline created successfully
2020-11-11 19:58:34,034:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2020-11-11 19:58:34,034:INFO:Creating global containers
2020-11-11 19:58:34,035:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2020-11-11 19:59:31,465:INFO:PyCaret Supervised Module
2020-11-11 19:59:31,465:INFO:ML Usecase: classification
2020-11-11 19:59:31,465:INFO:version 2.2.1
2020-11-11 19:59:31,465:INFO:Initializing setup()
2020-11-11 19:59:31,465:INFO:setup(display=None, profile_kwargs=None, profile=False, verbose=True, silent=False, log_data=False, log_profile=False, log_plots=False, experiment_name=None, log_experiment=False, session_id=42, html=True, custom_pipeline=None, use_gpu=False, n_jobs=-1, fold_groups=None, fold_shuffle=False, fold=10, fold_strategy=stratifiedkfold, data_split_stratify=False, data_split_shuffle=True, transform_target_method=box-cox, transform_target=False, fix_imbalance_method=None, fix_imbalance=False, interaction_threshold=0.01, feature_ratio=False, feature_interaction=False, feature_selection_method=classic, feature_selection_threshold=0.8, feature_selection=False, group_names=None, group_features=None, polynomial_threshold=0.1, trigonometry_features=False, polynomial_degree=2, polynomial_features=False, cluster_iter=20, create_clusters=False, remove_perfect_collinearity=True, multicollinearity_threshold=0.9, remove_multicollinearity=False, outliers_threshold=0.05, remove_outliers=False, bin_numeric_features=None, rare_level_threshold=0.1, combine_rare_levels=False, ignore_low_variance=False, pca_components=None, pca_method=linear, pca=False, unknown_categorical_method=least_frequent, handle_unknown_categorical=True, transformation_method=yeo-johnson, transformation=False, normalize_method=zscore, normalize=False, ignore_features=None, date_features=None, numeric_iterative_imputer=lightgbm, numeric_imputation=mean, numeric_features=None, high_cardinality_method=frequency, high_cardinality_features=None, ordinal_features=None, categorical_iterative_imputer=lightgbm, categorical_imputation=constant, categorical_features=None, iterative_imputation_iters=5, imputation_type=simple, preprocess=True, test_data=None, train_size=0.7, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, ml_usecase=classification, target=target)
2020-11-11 19:59:31,465:INFO:Checking environment
2020-11-11 19:59:31,466:INFO:python_version: 3.6.12
2020-11-11 19:59:31,466:INFO:python_build: ('default', 'Sep 8 2020 23:10:56')
2020-11-11 19:59:31,466:INFO:machine: x86_64
2020-11-11 19:59:31,466:INFO:platform: Linux-4.4.0-19041-Microsoft-x86_64-with-debian-bullseye-sid
2020-11-11 19:59:31,466:INFO:Memory: svmem(total=17005375488, available=7074234368, percent=58.4, used=9889386496, free=6881132544, active=171577344, inactive=161665024, buffers=34848768, cached=200007680, shared=18145280, slab=14200832)
2020-11-11 19:59:31,467:INFO:Physical Core: 4
2020-11-11 19:59:31,467:INFO:Logical Core: 8
2020-11-11 19:59:31,468:INFO:Checking libraries
2020-11-11 19:59:31,468:INFO:pd==1.1.4
2020-11-11 19:59:31,468:INFO:numpy==1.19.4
2020-11-11 19:59:31,468:INFO:sklearn==0.23.2
2020-11-11 19:59:31,468:INFO:xgboost==1.2.1
2020-11-11 19:59:31,468:INFO:lightgbm==3.0.0
2020-11-11 19:59:31,468:INFO:catboost==0.24.2
2020-11-11 19:59:31,468:INFO:mlflow==1.11.0
2020-11-11 19:59:31,468:INFO:Checking Exceptions
2020-11-11 19:59:31,468:INFO:Declaring global variables
2020-11-11 19:59:31,468:INFO:USI: 8b39
2020-11-11 19:59:31,468:INFO:pycaret_globals: {'transform_target_method_param', 'imputation_classifier', 'stratify_param', 'html_param', 'pycaret_globals', 'iterative_imputation_iters_param', 'fix_imbalance_method_param', '_all_models_internal', 'gpu_param', 'fix_imbalance_param', 'X_train', 'fold_generator', '_ml_usecase', 'USI', 'X', 'fold_shuffle_param', '_gpu_n_jobs_param', 'exp_name_log', 'y_test', 'imputation_regressor', 'seed', 'logging_param', 'fold_param', 'display_container', 'n_jobs_param', 'transform_target_param', 'X_test', '_available_plots', 'prep_pipe', 'experiment__', '_all_models', 'log_plots_param', 'create_model_container', '_all_metrics', 'fold_groups_param', 'y', 'target_param', 'y_train', 'data_before_preprocess', '_internal_pipeline', 'master_model_container'}
2020-11-11 19:59:31,468:INFO:Preparing display monitor
2020-11-11 19:59:31,468:INFO:Preparing display monitor
2020-11-11 19:59:31,484:INFO:Importing libraries
2020-11-11 19:59:31,485:INFO:Copying data for preprocessing
2020-11-11 19:59:31,554:INFO:Declaring preprocessing parameters
2020-11-11 19:59:31,680:INFO:Creating preprocessing pipeline
2020-11-11 19:59:32,326:INFO:Preprocessing pipeline created successfully
2020-11-11 19:59:32,326:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2020-11-11 19:59:32,326:INFO:Creating global containers
2020-11-11 19:59:32,327:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2020-11-11 19:59:41,391:INFO:Creating grid variables
2020-11-11 19:59:41,433:INFO:create_model_container: 0
2020-11-11 19:59:41,433:INFO:master_model_container: 0
2020-11-11 19:59:41,433:INFO:display_container: 0
2020-11-11 19:59:41,439:INFO:Pipeline(memory=None,
steps=[('dtypes',
DataTypes_Auto_infer(categorical_features=[],
display_types=True, features_todrop=[],
id_columns=[],
ml_usecase='classification',
numerical_features=[], target='target',
time_features=[])),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strat...
('scaling', 'passthrough'), ('P_transform', 'passthrough'),
('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
('cluster_all', 'passthrough'),
('dummy', Dummify(target='target')),
('fix_perfect', Remove_100(target='target')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough')],
verbose=False)
2020-11-11 19:59:41,439:INFO:setup() succesfully completed......................................
2020-11-11 20:01:45,436:INFO:Initializing compare_models()
2020-11-11 20:01:45,437:INFO:compare_models(display=None, verbose=True, groups=None, fit_kwargs=None, errors=ignore, turbo=True, budget_time=None, n_select=1, sort=Accuracy, cross_validation=True, round=4, fold=None, include=None, exclude=None)
2020-11-11 20:01:45,437:INFO:Checking exceptions
2020-11-11 20:01:45,438:INFO:Preparing display monitor
2020-11-11 20:01:45,439:INFO:Preparing display monitor
2020-11-11 20:01:45,470:INFO:Initializing Logistic Regression
2020-11-11 20:01:45,471:INFO:Total runtime is 2.8014183044433594e-06 minutes
2020-11-11 20:01:45,481:INFO:SubProcess create_model() called ==================================
2020-11-11 20:01:45,482:INFO:Initializing create_model()
2020-11-11 20:01:45,482:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=lr)
2020-11-11 20:01:45,482:INFO:Checking exceptions
2020-11-11 20:01:45,482:INFO:Importing libraries
2020-11-11 20:01:45,482:INFO:Copying training dataset
2020-11-11 20:01:45,539:INFO:Defining folds
2020-11-11 20:01:45,539:INFO:Declaring metric variables
2020-11-11 20:01:45,546:INFO:Importing untrained model
2020-11-11 20:01:45,554:INFO:Logistic Regression Imported succesfully
2020-11-11 20:01:45,571:INFO:Starting cross validation
2020-11-11 20:01:45,571:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:07:25,479:INFO:Calculating mean and std
2020-11-11 20:07:25,483:INFO:Creating metrics dataframe
2020-11-11 20:07:25,492:INFO:Uploading results into container
2020-11-11 20:07:25,492:INFO:Uploading model into container now
2020-11-11 20:07:25,492:INFO:create_model_container: 1
2020-11-11 20:07:25,492:INFO:master_model_container: 1
2020-11-11 20:07:25,492:INFO:display_container: 1
2020-11-11 20:07:25,493:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, l1_ratio=None, max_iter=1000,
multi_class='auto', n_jobs=None, penalty='l2',
random_state=42, solver='lbfgs', tol=0.0001, verbose=0,
warm_start=False)
2020-11-11 20:07:25,493:INFO:create_model() succesfully completed......................................
2020-11-11 20:07:25,655:INFO:SubProcess create_model() end ==================================
2020-11-11 20:07:25,656:INFO:Creating metrics dataframe
2020-11-11 20:07:25,681:INFO:Initializing K Neighbors Classifier
2020-11-11 20:07:25,681:INFO:Total runtime is 5.670174630482991 minutes
2020-11-11 20:07:25,693:INFO:SubProcess create_model() called ==================================
2020-11-11 20:07:25,694:INFO:Initializing create_model()
2020-11-11 20:07:25,694:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=knn)
2020-11-11 20:07:25,694:INFO:Checking exceptions
2020-11-11 20:07:25,694:INFO:Importing libraries
2020-11-11 20:07:25,694:INFO:Copying training dataset
2020-11-11 20:07:25,764:INFO:Defining folds
2020-11-11 20:07:25,764:INFO:Declaring metric variables
2020-11-11 20:07:25,774:INFO:Importing untrained model
2020-11-11 20:07:25,784:INFO:K Neighbors Classifier Imported succesfully
2020-11-11 20:07:25,804:INFO:Starting cross validation
2020-11-11 20:07:25,804:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:15:23,945:INFO:Calculating mean and std
2020-11-11 20:15:23,948:INFO:Creating metrics dataframe
2020-11-11 20:15:23,970:INFO:Uploading results into container
2020-11-11 20:15:23,970:INFO:Uploading model into container now
2020-11-11 20:15:23,971:INFO:create_model_container: 2
2020-11-11 20:15:23,972:INFO:master_model_container: 2
2020-11-11 20:15:23,972:INFO:display_container: 1
2020-11-11 20:15:23,973:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
weights='uniform')
2020-11-11 20:15:23,974:INFO:create_model() succesfully completed......................................
2020-11-11 20:15:24,159:INFO:SubProcess create_model() end ==================================
2020-11-11 20:15:24,159:INFO:Creating metrics dataframe
2020-11-11 20:15:24,246:INFO:Initializing Naive Bayes
2020-11-11 20:15:24,247:INFO:Total runtime is 13.64627113342285 minutes
2020-11-11 20:15:24,280:INFO:SubProcess create_model() called ==================================
2020-11-11 20:15:24,281:INFO:Initializing create_model()
2020-11-11 20:15:24,282:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=nb)
2020-11-11 20:15:24,283:INFO:Checking exceptions
2020-11-11 20:15:24,283:INFO:Importing libraries
2020-11-11 20:15:24,283:INFO:Copying training dataset
2020-11-11 20:15:24,453:INFO:Defining folds
2020-11-11 20:15:24,454:INFO:Declaring metric variables
2020-11-11 20:15:24,481:INFO:Importing untrained model
2020-11-11 20:15:24,505:INFO:Naive Bayes Imported succesfully
2020-11-11 20:15:24,566:INFO:Starting cross validation
2020-11-11 20:15:24,568:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:15:27,655:INFO:Calculating mean and std
2020-11-11 20:15:27,657:INFO:Creating metrics dataframe
2020-11-11 20:15:27,678:INFO:Uploading results into container
2020-11-11 20:15:27,679:INFO:Uploading model into container now
2020-11-11 20:15:27,679:INFO:create_model_container: 3
2020-11-11 20:15:27,679:INFO:master_model_container: 3
2020-11-11 20:15:27,680:INFO:display_container: 1
2020-11-11 20:15:27,680:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
2020-11-11 20:15:27,680:INFO:create_model() succesfully completed......................................
2020-11-11 20:15:27,862:INFO:SubProcess create_model() end ==================================
2020-11-11 20:15:27,862:INFO:Creating metrics dataframe
2020-11-11 20:15:27,944:INFO:Initializing Decision Tree Classifier
2020-11-11 20:15:27,945:INFO:Total runtime is 13.707903961340586 minutes
2020-11-11 20:15:27,980:INFO:SubProcess create_model() called ==================================
2020-11-11 20:15:27,981:INFO:Initializing create_model()
2020-11-11 20:15:27,981:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=dt)
2020-11-11 20:15:27,982:INFO:Checking exceptions
2020-11-11 20:15:27,982:INFO:Importing libraries
2020-11-11 20:15:27,983:INFO:Copying training dataset
2020-11-11 20:15:28,136:INFO:Defining folds
2020-11-11 20:15:28,137:INFO:Declaring metric variables
2020-11-11 20:15:28,171:INFO:Importing untrained model
2020-11-11 20:15:28,208:INFO:Decision Tree Classifier Imported succesfully
2020-11-11 20:15:28,277:INFO:Starting cross validation
2020-11-11 20:15:28,279:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:15:40,372:INFO:Calculating mean and std
2020-11-11 20:15:40,375:INFO:Creating metrics dataframe
2020-11-11 20:15:40,392:INFO:Uploading results into container
2020-11-11 20:15:40,392:INFO:Uploading model into container now
2020-11-11 20:15:40,392:INFO:create_model_container: 4
2020-11-11 20:15:40,392:INFO:master_model_container: 4
2020-11-11 20:15:40,392:INFO:display_container: 1
2020-11-11 20:15:40,394:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
max_depth=None, max_features=None, max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, presort='deprecated',
random_state=42, splitter='best')
2020-11-11 20:15:40,394:INFO:create_model() succesfully completed......................................
2020-11-11 20:15:40,578:INFO:SubProcess create_model() end ==================================
2020-11-11 20:15:40,579:INFO:Creating metrics dataframe
2020-11-11 20:15:40,669:INFO:Initializing SVM - Linear Kernel
2020-11-11 20:15:40,669:INFO:Total runtime is 13.919980418682098 minutes
2020-11-11 20:15:40,706:INFO:SubProcess create_model() called ==================================
2020-11-11 20:15:40,708:INFO:Initializing create_model()
2020-11-11 20:15:40,709:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=svm)
2020-11-11 20:15:40,709:INFO:Checking exceptions
2020-11-11 20:15:40,709:INFO:Importing libraries
2020-11-11 20:15:40,710:INFO:Copying training dataset
2020-11-11 20:15:40,875:INFO:Defining folds
2020-11-11 20:15:40,875:INFO:Declaring metric variables
2020-11-11 20:15:40,904:INFO:Importing untrained model
2020-11-11 20:15:40,932:INFO:SVM - Linear Kernel Imported succesfully
2020-11-11 20:15:41,000:INFO:Starting cross validation
2020-11-11 20:15:41,001:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:16:32,225:INFO:Calculating mean and std
2020-11-11 20:16:32,228:INFO:Creating metrics dataframe
2020-11-11 20:16:32,244:INFO:Uploading results into container
2020-11-11 20:16:32,244:INFO:Uploading model into container now
2020-11-11 20:16:32,245:INFO:create_model_container: 5
2020-11-11 20:16:32,245:INFO:master_model_container: 5
2020-11-11 20:16:32,245:INFO:display_container: 1
2020-11-11 20:16:32,247:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
l1_ratio=0.15, learning_rate='optimal', loss='hinge',
max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
power_t=0.5, random_state=42, shuffle=True, tol=0.001,
validation_fraction=0.1, verbose=0, warm_start=False)
2020-11-11 20:16:32,247:INFO:create_model() succesfully completed......................................
2020-11-11 20:16:32,398:INFO:SubProcess create_model() end ==================================
2020-11-11 20:16:32,398:INFO:Creating metrics dataframe
2020-11-11 20:16:32,476:INFO:Initializing Ridge Classifier
2020-11-11 20:16:32,476:INFO:Total runtime is 14.783432245254517 minutes
2020-11-11 20:16:32,507:INFO:SubProcess create_model() called ==================================
2020-11-11 20:16:32,508:INFO:Initializing create_model()
2020-11-11 20:16:32,508:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=ridge)
2020-11-11 20:16:32,509:INFO:Checking exceptions
2020-11-11 20:16:32,509:INFO:Importing libraries
2020-11-11 20:16:32,509:INFO:Copying training dataset
2020-11-11 20:16:32,650:INFO:Defining folds
2020-11-11 20:16:32,651:INFO:Declaring metric variables
2020-11-11 20:16:32,680:INFO:Importing untrained model
2020-11-11 20:16:32,710:INFO:Ridge Classifier Imported succesfully
2020-11-11 20:16:32,785:INFO:Starting cross validation
2020-11-11 20:16:32,787:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:16:37,142:INFO:Calculating mean and std
2020-11-11 20:16:37,145:INFO:Creating metrics dataframe
2020-11-11 20:16:37,166:INFO:Uploading results into container
2020-11-11 20:16:37,166:INFO:Uploading model into container now
2020-11-11 20:16:37,167:INFO:create_model_container: 6
2020-11-11 20:16:37,167:INFO:master_model_container: 6
2020-11-11 20:16:37,167:INFO:display_container: 1
2020-11-11 20:16:37,169:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
max_iter=None, normalize=False, random_state=42, solver='auto',
tol=0.001)
2020-11-11 20:16:37,169:INFO:create_model() succesfully completed......................................
2020-11-11 20:16:37,340:INFO:SubProcess create_model() end ==================================
2020-11-11 20:16:37,340:INFO:Creating metrics dataframe
2020-11-11 20:16:37,429:INFO:Initializing Random Forest Classifier
2020-11-11 20:16:37,430:INFO:Total runtime is 14.865990928808849 minutes
2020-11-11 20:16:37,460:INFO:SubProcess create_model() called ==================================
2020-11-11 20:16:37,462:INFO:Initializing create_model()
2020-11-11 20:16:37,462:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=rf)
2020-11-11 20:16:37,462:INFO:Checking exceptions
2020-11-11 20:16:37,462:INFO:Importing libraries
2020-11-11 20:16:37,463:INFO:Copying training dataset
2020-11-11 20:16:37,588:INFO:Defining folds
2020-11-11 20:16:37,588:INFO:Declaring metric variables
2020-11-11 20:16:37,610:INFO:Importing untrained model
2020-11-11 20:16:37,634:INFO:Random Forest Classifier Imported succesfully
2020-11-11 20:16:37,685:INFO:Starting cross validation
2020-11-11 20:16:37,686:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:17:27,229:INFO:Calculating mean and std
2020-11-11 20:17:27,232:INFO:Creating metrics dataframe
2020-11-11 20:17:27,247:INFO:Uploading results into container
2020-11-11 20:17:27,247:INFO:Uploading model into container now
2020-11-11 20:17:27,247:INFO:create_model_container: 7
2020-11-11 20:17:27,247:INFO:master_model_container: 7
2020-11-11 20:17:27,248:INFO:display_container: 1
2020-11-11 20:17:27,249:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_jobs=-1, oob_score=False, random_state=42, verbose=0,
warm_start=False)
2020-11-11 20:17:27,249:INFO:create_model() succesfully completed......................................
2020-11-11 20:17:27,449:INFO:SubProcess create_model() end ==================================
2020-11-11 20:17:27,449:INFO:Creating metrics dataframe
2020-11-11 20:17:27,550:INFO:Initializing Quadratic Discriminant Analysis
2020-11-11 20:17:27,551:INFO:Total runtime is 15.701343357563019 minutes
2020-11-11 20:17:27,586:INFO:SubProcess create_model() called ==================================
2020-11-11 20:17:27,587:INFO:Initializing create_model()
2020-11-11 20:17:27,587:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=qda)
2020-11-11 20:17:27,588:INFO:Checking exceptions
2020-11-11 20:17:27,589:INFO:Importing libraries
2020-11-11 20:17:27,590:INFO:Copying training dataset
2020-11-11 20:17:27,742:INFO:Defining folds
2020-11-11 20:17:27,742:INFO:Declaring metric variables
2020-11-11 20:17:27,769:INFO:Importing untrained model
2020-11-11 20:17:27,802:INFO:Quadratic Discriminant Analysis Imported succesfully
2020-11-11 20:17:27,874:INFO:Starting cross validation
2020-11-11 20:17:27,875:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:17:42,240:INFO:Calculating mean and std
2020-11-11 20:17:42,243:INFO:Creating metrics dataframe
2020-11-11 20:17:42,265:INFO:Uploading results into container
2020-11-11 20:17:42,266:INFO:Uploading model into container now
2020-11-11 20:17:42,266:INFO:create_model_container: 8
2020-11-11 20:17:42,266:INFO:master_model_container: 8
2020-11-11 20:17:42,267:INFO:display_container: 1
2020-11-11 20:17:42,268:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
store_covariance=False, tol=0.0001)
2020-11-11 20:17:42,268:INFO:create_model() succesfully completed......................................
2020-11-11 20:17:42,437:INFO:SubProcess create_model() end ==================================
2020-11-11 20:17:42,437:INFO:Creating metrics dataframe
2020-11-11 20:17:42,524:INFO:Initializing Ada Boost Classifier
2020-11-11 20:17:42,525:INFO:Total runtime is 15.950907691319783 minutes
2020-11-11 20:17:42,560:INFO:SubProcess create_model() called ==================================
2020-11-11 20:17:42,561:INFO:Initializing create_model()
2020-11-11 20:17:42,561:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=ada)
2020-11-11 20:17:42,562:INFO:Checking exceptions
2020-11-11 20:17:42,562:INFO:Importing libraries
2020-11-11 20:17:42,562:INFO:Copying training dataset
2020-11-11 20:17:42,723:INFO:Defining folds
2020-11-11 20:17:42,724:INFO:Declaring metric variables
2020-11-11 20:17:42,751:INFO:Importing untrained model
2020-11-11 20:17:42,796:INFO:Ada Boost Classifier Imported succesfully
2020-11-11 20:17:42,865:INFO:Starting cross validation
2020-11-11 20:17:42,866:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:18:18,466:INFO:Calculating mean and std
2020-11-11 20:18:18,469:INFO:Creating metrics dataframe
2020-11-11 20:18:18,484:INFO:Uploading results into container
2020-11-11 20:18:18,484:INFO:Uploading model into container now
2020-11-11 20:18:18,484:INFO:create_model_container: 9
2020-11-11 20:18:18,485:INFO:master_model_container: 9
2020-11-11 20:18:18,485:INFO:display_container: 1
2020-11-11 20:18:18,486:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
n_estimators=50, random_state=42)
2020-11-11 20:18:18,486:INFO:create_model() succesfully completed......................................
2020-11-11 20:18:18,660:INFO:SubProcess create_model() end ==================================
2020-11-11 20:18:18,661:INFO:Creating metrics dataframe
2020-11-11 20:18:18,769:INFO:Initializing Gradient Boosting Classifier
2020-11-11 20:18:18,769:INFO:Total runtime is 16.554976256688434 minutes
2020-11-11 20:18:18,803:INFO:SubProcess create_model() called ==================================
2020-11-11 20:18:18,804:INFO:Initializing create_model()
2020-11-11 20:18:18,805:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=gbc)
2020-11-11 20:18:18,805:INFO:Checking exceptions
2020-11-11 20:18:18,806:INFO:Importing libraries
2020-11-11 20:18:18,806:INFO:Copying training dataset
2020-11-11 20:18:18,974:INFO:Defining folds
2020-11-11 20:18:18,974:INFO:Declaring metric variables
2020-11-11 20:18:19,003:INFO:Importing untrained model
2020-11-11 20:18:19,038:INFO:Gradient Boosting Classifier Imported succesfully
2020-11-11 20:18:19,106:INFO:Starting cross validation
2020-11-11 20:18:19,108:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:37:46,662:INFO:Calculating mean and std
2020-11-11 20:37:46,664:INFO:Creating metrics dataframe
2020-11-11 20:37:46,669:INFO:Uploading results into container
2020-11-11 20:37:46,669:INFO:Uploading model into container now
2020-11-11 20:37:46,669:INFO:create_model_container: 10
2020-11-11 20:37:46,669:INFO:master_model_container: 10
2020-11-11 20:37:46,669:INFO:display_container: 1
2020-11-11 20:37:46,670:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
learning_rate=0.1, loss='deviance', max_depth=3,
max_features=None, max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_iter_no_change=None, presort='deprecated',
random_state=42, subsample=1.0, tol=0.0001,
validation_fraction=0.1, verbose=0,
warm_start=False)
2020-11-11 20:37:46,670:INFO:create_model() succesfully completed......................................
2020-11-11 20:37:46,756:INFO:SubProcess create_model() end ==================================
2020-11-11 20:37:46,756:INFO:Creating metrics dataframe
2020-11-11 20:37:46,784:INFO:Initializing Linear Discriminant Analysis
2020-11-11 20:37:46,784:INFO:Total runtime is 36.02190004587173 minutes
2020-11-11 20:37:46,794:INFO:SubProcess create_model() called ==================================
2020-11-11 20:37:46,795:INFO:Initializing create_model()
2020-11-11 20:37:46,795:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=lda)
2020-11-11 20:37:46,795:INFO:Checking exceptions
2020-11-11 20:37:46,795:INFO:Importing libraries
2020-11-11 20:37:46,795:INFO:Copying training dataset
2020-11-11 20:37:46,856:INFO:Defining folds
2020-11-11 20:37:46,856:INFO:Declaring metric variables
2020-11-11 20:37:46,864:INFO:Importing untrained model
2020-11-11 20:37:46,872:INFO:Linear Discriminant Analysis Imported succesfully
2020-11-11 20:37:46,893:INFO:Starting cross validation
2020-11-11 20:37:46,893:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:38:08,351:INFO:Calculating mean and std
2020-11-11 20:38:08,354:INFO:Creating metrics dataframe
2020-11-11 20:38:08,364:INFO:Uploading results into container
2020-11-11 20:38:08,365:INFO:Uploading model into container now
2020-11-11 20:38:08,365:INFO:create_model_container: 11
2020-11-11 20:38:08,365:INFO:master_model_container: 11
2020-11-11 20:38:08,365:INFO:display_container: 1
2020-11-11 20:38:08,366:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
solver='svd', store_covariance=False, tol=0.0001)
2020-11-11 20:38:08,366:INFO:create_model() succesfully completed......................................
2020-11-11 20:38:08,540:INFO:SubProcess create_model() end ==================================
2020-11-11 20:38:08,541:INFO:Creating metrics dataframe
2020-11-11 20:38:08,576:INFO:Initializing Extra Trees Classifier
2020-11-11 20:38:08,577:INFO:Total runtime is 36.3851027170817 minutes
2020-11-11 20:38:08,590:INFO:SubProcess create_model() called ==================================
2020-11-11 20:38:08,591:INFO:Initializing create_model()
2020-11-11 20:38:08,591:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=et)
2020-11-11 20:38:08,591:INFO:Checking exceptions
2020-11-11 20:38:08,591:INFO:Importing libraries
2020-11-11 20:38:08,591:INFO:Copying training dataset
2020-11-11 20:38:08,666:INFO:Defining folds
2020-11-11 20:38:08,666:INFO:Declaring metric variables
2020-11-11 20:38:08,676:INFO:Importing untrained model
2020-11-11 20:38:08,686:INFO:Extra Trees Classifier Imported succesfully
2020-11-11 20:38:08,708:INFO:Starting cross validation
2020-11-11 20:38:08,709:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 20:39:16,919:INFO:Calculating mean and std
2020-11-11 20:39:16,921:INFO:Creating metrics dataframe
2020-11-11 20:39:16,936:INFO:Uploading results into container
2020-11-11 20:39:16,936:INFO:Uploading model into container now
2020-11-11 20:39:16,937:INFO:create_model_container: 12
2020-11-11 20:39:16,937:INFO:master_model_container: 12
2020-11-11 20:39:16,937:INFO:display_container: 1
2020-11-11 20:39:16,939:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
oob_score=False, random_state=42, verbose=0,
warm_start=False)
2020-11-11 20:39:16,939:INFO:create_model() succesfully completed......................................
2020-11-11 20:39:17,107:INFO:SubProcess create_model() end ==================================
2020-11-11 20:39:17,107:INFO:Creating metrics dataframe
2020-11-11 20:39:17,181:INFO:Initializing Extreme Gradient Boosting
2020-11-11 20:39:17,181:INFO:Total runtime is 37.5285140077273 minutes
2020-11-11 20:39:17,207:INFO:SubProcess create_model() called ==================================
2020-11-11 20:39:17,209:INFO:Initializing create_model()
2020-11-11 20:39:17,209:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=xgboost)
2020-11-11 20:39:17,209:INFO:Checking exceptions
2020-11-11 20:39:17,209:INFO:Importing libraries
2020-11-11 20:39:17,210:INFO:Copying training dataset
2020-11-11 20:39:17,340:INFO:Defining folds
2020-11-11 20:39:17,340:INFO:Declaring metric variables
2020-11-11 20:39:17,359:INFO:Importing untrained model
2020-11-11 20:39:17,386:INFO:Extreme Gradient Boosting Imported succesfully
2020-11-11 20:39:17,428:INFO:Starting cross validation
2020-11-11 20:39:17,429:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:02:34,373:INFO:Calculating mean and std
2020-11-11 21:02:34,375:INFO:Creating metrics dataframe
2020-11-11 21:02:34,382:INFO:Uploading results into container
2020-11-11 21:02:34,382:INFO:Uploading model into container now
2020-11-11 21:02:34,382:INFO:create_model_container: 13
2020-11-11 21:02:34,382:INFO:master_model_container: 13
2020-11-11 21:02:34,382:INFO:display_container: 1
2020-11-11 21:02:34,383:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
colsample_bynode=None, colsample_bytree=None, gamma=None,
gpu_id=None, importance_type='gain', interaction_constraints=None,
learning_rate=None, max_delta_step=None, max_depth=None,
min_child_weight=None, missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=-1, num_parallel_tree=None,
objective='binary:logistic', random_state=42, reg_alpha=None,
reg_lambda=None, scale_pos_weight=None, subsample=None,
tree_method='auto', validate_parameters=None, verbosity=0)
2020-11-11 21:02:34,383:INFO:create_model() succesfully completed......................................
2020-11-11 21:02:34,523:INFO:SubProcess create_model() end ==================================
2020-11-11 21:02:34,523:INFO:Creating metrics dataframe
2020-11-11 21:02:34,551:INFO:Initializing Light Gradient Boosting Machine
2020-11-11 21:02:34,552:INFO:Total runtime is 60.81802355448404 minutes
2020-11-11 21:02:34,561:INFO:SubProcess create_model() called ==================================
2020-11-11 21:02:34,561:INFO:Initializing create_model()
2020-11-11 21:02:34,562:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=lightgbm)
2020-11-11 21:02:34,562:INFO:Checking exceptions
2020-11-11 21:02:34,562:INFO:Importing libraries
2020-11-11 21:02:34,562:INFO:Copying training dataset
2020-11-11 21:02:34,624:INFO:Defining folds
2020-11-11 21:02:34,625:INFO:Declaring metric variables
2020-11-11 21:02:34,633:INFO:Importing untrained model
2020-11-11 21:02:34,642:INFO:Light Gradient Boosting Machine Imported succesfully
2020-11-11 21:02:34,661:INFO:Starting cross validation
2020-11-11 21:02:34,661:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:03:13,680:INFO:Calculating mean and std
2020-11-11 21:03:13,682:INFO:Creating metrics dataframe
2020-11-11 21:03:13,689:INFO:Uploading results into container
2020-11-11 21:03:13,689:INFO:Uploading model into container now
2020-11-11 21:03:13,689:INFO:create_model_container: 14
2020-11-11 21:03:13,689:INFO:master_model_container: 14
2020-11-11 21:03:13,690:INFO:display_container: 1
2020-11-11 21:03:13,690:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:03:13,690:INFO:create_model() succesfully completed......................................
2020-11-11 21:03:13,823:INFO:SubProcess create_model() end ==================================
2020-11-11 21:03:13,823:INFO:Creating metrics dataframe
2020-11-11 21:03:13,853:INFO:Initializing CatBoost Classifier
2020-11-11 21:03:13,853:INFO:Total runtime is 61.473048325379686 minutes
2020-11-11 21:03:13,862:INFO:SubProcess create_model() called ==================================
2020-11-11 21:03:13,862:INFO:Initializing create_model()
2020-11-11 21:03:13,862:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa61ba79c18>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=catboost)
2020-11-11 21:03:13,862:INFO:Checking exceptions
2020-11-11 21:03:13,863:INFO:Importing libraries
2020-11-11 21:03:13,863:INFO:Copying training dataset
2020-11-11 21:03:13,922:INFO:Defining folds
2020-11-11 21:03:13,922:INFO:Declaring metric variables
2020-11-11 21:03:13,933:INFO:Importing untrained model
2020-11-11 21:03:13,943:INFO:CatBoost Classifier Imported succesfully
2020-11-11 21:03:13,962:INFO:Starting cross validation
2020-11-11 21:03:13,963:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:17:18,163:INFO:Calculating mean and std
2020-11-11 21:17:18,174:INFO:Creating metrics dataframe
2020-11-11 21:17:18,203:INFO:Uploading results into container
2020-11-11 21:17:18,203:INFO:Uploading model into container now
2020-11-11 21:17:18,203:INFO:create_model_container: 15
2020-11-11 21:17:18,204:INFO:master_model_container: 15
2020-11-11 21:17:18,205:INFO:display_container: 1
2020-11-11 21:17:18,205:INFO:<catboost.core.CatBoostClassifier object at 0x7fa5d4413e10>
2020-11-11 21:17:18,205:INFO:create_model() succesfully completed......................................
2020-11-11 21:17:18,555:INFO:SubProcess create_model() end ==================================
2020-11-11 21:17:18,555:INFO:Creating metrics dataframe
2020-11-11 21:17:18,784:INFO:Initializing create_model()
2020-11-11 21:17:18,784:INFO:create_model(kwargs={}, display=None, metrics=None, system=False, verbose=False, refit=True, groups=None, fit_kwargs={}, predict=False, cross_validation=False, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0))
2020-11-11 21:17:18,785:INFO:Checking exceptions
2020-11-11 21:17:18,786:INFO:Importing libraries
2020-11-11 21:17:18,786:INFO:Copying training dataset
2020-11-11 21:17:18,963:INFO:Defining folds
2020-11-11 21:17:18,963:INFO:Declaring metric variables
2020-11-11 21:17:18,963:INFO:Importing untrained model
2020-11-11 21:17:18,964:INFO:Declaring custom model
2020-11-11 21:17:18,971:INFO:Light Gradient Boosting Machine Imported succesfully
2020-11-11 21:17:18,972:INFO:Cross validation set to False
2020-11-11 21:17:18,972:INFO:Fitting Model
2020-11-11 21:18:10,811:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:18:10,813:INFO:create_models() succesfully completed......................................
2020-11-11 21:18:11,226:INFO:create_model_container: 15
2020-11-11 21:18:11,227:INFO:master_model_container: 15
2020-11-11 21:18:11,228:INFO:display_container: 1
2020-11-11 21:18:11,230:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:18:11,230:INFO:compare_models() succesfully completed......................................
2020-11-11 21:29:33,818:INFO:Initializing create_model()
2020-11-11 21:29:33,819:INFO:create_model(kwargs={}, display=None, metrics=None, system=True, verbose=True, refit=True, groups=None, fit_kwargs=None, predict=True, cross_validation=True, round=4, fold=None, estimator=lightgbm)
2020-11-11 21:29:33,819:INFO:Checking exceptions
2020-11-11 21:29:33,819:INFO:Preparing display monitor
2020-11-11 21:29:33,846:INFO:Importing libraries
2020-11-11 21:29:33,846:INFO:Copying training dataset
2020-11-11 21:29:33,908:INFO:Defining folds
2020-11-11 21:29:33,908:INFO:Declaring metric variables
2020-11-11 21:29:33,919:INFO:Importing untrained model
2020-11-11 21:29:33,933:INFO:Light Gradient Boosting Machine Imported succesfully
2020-11-11 21:29:33,957:INFO:Starting cross validation
2020-11-11 21:29:33,958:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:30:36,776:INFO:Calculating mean and std
2020-11-11 21:30:36,779:INFO:Creating metrics dataframe
2020-11-11 21:30:36,802:INFO:Finalizing model
2020-11-11 21:30:47,102:INFO:Uploading results into container
2020-11-11 21:30:47,102:INFO:Uploading model into container now
2020-11-11 21:30:47,148:INFO:create_model_container: 16
2020-11-11 21:30:47,149:INFO:master_model_container: 16
2020-11-11 21:30:47,149:INFO:display_container: 2
2020-11-11 21:30:47,151:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:30:47,151:INFO:create_model() succesfully completed......................................
2020-11-11 21:31:39,822:INFO:Initializing plot_model()
2020-11-11 21:31:39,822:INFO:plot_model(verbose=True, use_train_data=False, fold=None, plot=auc, system=True, scale=1, save=False, label=False, groups=None, fit_kwargs=None, feature_name=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0), display=None)
2020-11-11 21:31:39,823:INFO:Checking exceptions
2020-11-11 21:31:39,826:INFO:Preparing display monitor
2020-11-11 21:31:39,837:INFO:Preloading libraries
2020-11-11 21:31:40,040:INFO:Copying training dataset
2020-11-11 21:31:40,129:INFO:Copying test dataset
2020-11-11 21:31:40,152:INFO:Plot type: auc
2020-11-11 21:31:40,290:INFO:Fitting Model
2020-11-11 21:31:40,296:INFO:Scoring test/hold-out set
2020-11-11 21:31:42,354:INFO:Visual Rendered Successfully
2020-11-11 21:31:42,449:INFO:plot_model() succesfully completed......................................
2020-11-11 21:31:59,539:INFO:Initializing plot_model()
2020-11-11 21:31:59,539:INFO:plot_model(verbose=True, use_train_data=False, fold=None, plot=confusion_matrix, system=True, scale=1, save=False, label=False, groups=None, fit_kwargs=None, feature_name=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0), display=None)
2020-11-11 21:31:59,539:INFO:Checking exceptions
2020-11-11 21:31:59,542:INFO:Preparing display monitor
2020-11-11 21:31:59,555:INFO:Preloading libraries
2020-11-11 21:31:59,763:INFO:Copying training dataset
2020-11-11 21:31:59,847:INFO:Copying test dataset
2020-11-11 21:31:59,849:INFO:Plot type: confusion_matrix
2020-11-11 21:31:59,879:INFO:Fitting Model
2020-11-11 21:31:59,882:INFO:Scoring test/hold-out set
2020-11-11 21:32:02,628:INFO:Visual Rendered Successfully
2020-11-11 21:32:02,729:INFO:plot_model() succesfully completed......................................
2020-11-11 21:32:34,624:INFO:Initializing plot_model()
2020-11-11 21:32:34,624:INFO:plot_model(verbose=True, use_train_data=False, fold=None, plot=class_report, system=True, scale=1, save=False, label=False, groups=None, fit_kwargs=None, feature_name=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0), display=None)
2020-11-11 21:32:34,624:INFO:Checking exceptions
2020-11-11 21:32:34,627:INFO:Preparing display monitor
2020-11-11 21:32:34,636:INFO:Preloading libraries
2020-11-11 21:32:34,761:INFO:Copying training dataset
2020-11-11 21:32:34,811:INFO:Copying test dataset
2020-11-11 21:32:34,813:INFO:Plot type: class_report
2020-11-11 21:32:34,829:INFO:Fitting Model
2020-11-11 21:32:34,831:INFO:Scoring test/hold-out set
2020-11-11 21:32:36,112:INFO:Visual Rendered Successfully
2020-11-11 21:32:36,200:INFO:plot_model() succesfully completed......................................
2020-11-11 21:34:00,504:INFO:Initializing interpret_model()
2020-11-11 21:34:00,505:INFO:interpret_model(use_train_data=False, plot=summary, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0), observation=None, kwargs={}, feature=None)
2020-11-11 21:34:00,505:INFO:Checking exceptions
2020-11-11 21:34:00,640:INFO:plot type: summary
2020-11-11 21:34:00,640:INFO:Creating TreeExplainer
2020-11-11 21:34:01,444:INFO:Compiling shap values
2020-11-11 21:35:57,644:INFO:Visual Rendered Successfully
2020-11-11 21:35:57,644:INFO:interpret_model() succesfully completed......................................
2020-11-11 21:36:47,672:INFO:Initializing predict_model()
2020-11-11 21:36:47,672:INFO:predict_model(display=None, ml_usecase=MLUsecase.CLASSIFICATION, verbose=True, round=4, encoded_labels=False, probability_threshold=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0))
2020-11-11 21:36:47,672:INFO:Checking exceptions
2020-11-11 21:36:47,673:INFO:Preloading libraries
2020-11-11 21:36:47,673:INFO:Preparing display monitor
2020-11-11 21:37:58,724:INFO:Initializing finalize_model()
2020-11-11 21:37:58,724:INFO:finalize_model(display=None, model_only=True, groups=None, fit_kwargs=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0))
2020-11-11 21:37:58,725:INFO:Finalizing LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:37:58,727:INFO:Initializing create_model()
2020-11-11 21:37:58,727:INFO:create_model(kwargs={}, display=None, metrics=None, system=False, verbose=False, refit=True, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=None, estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0))
2020-11-11 21:37:58,727:INFO:Checking exceptions
2020-11-11 21:37:58,728:INFO:Importing libraries
2020-11-11 21:37:58,728:INFO:Copying training dataset
2020-11-11 21:37:58,838:INFO:Defining folds
2020-11-11 21:37:58,838:INFO:Declaring metric variables
2020-11-11 21:37:58,838:INFO:Importing untrained model
2020-11-11 21:37:58,838:INFO:Declaring custom model
2020-11-11 21:37:58,839:INFO:Light Gradient Boosting Machine Imported succesfully
2020-11-11 21:37:58,840:INFO:Starting cross validation
2020-11-11 21:37:58,840:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:39:25,893:INFO:Calculating mean and std
2020-11-11 21:39:25,895:INFO:Creating metrics dataframe
2020-11-11 21:39:25,910:INFO:Finalizing model
2020-11-11 21:40:40,057:INFO:Uploading results into container
2020-11-11 21:40:40,058:INFO:Uploading model into container now
2020-11-11 21:40:40,058:INFO:create_model_container: 17
2020-11-11 21:40:40,058:INFO:master_model_container: 17
2020-11-11 21:40:40,058:INFO:display_container: 4
2020-11-11 21:40:40,059:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:40:40,059:INFO:create_model() succesfully completed......................................
2020-11-11 21:40:40,375:INFO:create_model_container: 17
2020-11-11 21:40:40,375:INFO:master_model_container: 17
2020-11-11 21:40:40,375:INFO:display_container: 3
2020-11-11 21:40:40,375:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
2020-11-11 21:40:40,376:INFO:finalize_model() succesfully completed......................................
2020-11-11 21:42:12,128:INFO:Initializing save_model()
2020-11-11 21:42:12,128:INFO:save_model(verbose=True, prep_pipe_=Pipeline(memory=None,
steps=[('dtypes',
DataTypes_Auto_infer(categorical_features=[],
display_types=True, features_todrop=[],
id_columns=[],
ml_usecase='classification',
numerical_features=[], target='target',
time_features=[])),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strat...
('scaling', 'passthrough'), ('P_transform', 'passthrough'),
('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
('cluster_all', 'passthrough'),
('dummy', Dummify(target='target')),
('fix_perfect', Remove_100(target='target')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough')],
verbose=False), model_name=otto_Group_LGB, model=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
importance_type='split', learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
random_state=42, reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000, subsample_freq=0))
2020-11-11 21:42:12,128:INFO:Adding model into prep_pipe
2020-11-11 21:42:12,579:INFO:otto_Group_LGB.pkl saved in current working directory
2020-11-11 21:42:12,584:INFO:Pipeline(memory=None,
steps=[('dtypes',
DataTypes_Auto_infer(categorical_features=[],
display_types=True, features_todrop=[],
id_columns=[],
ml_usecase='classification',
numerical_features=[], target='target',
time_features=[])),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strat...
LGBMClassifier(boosting_type='gbdt', class_weight=None,
colsample_bytree=1.0, importance_type='split',
learning_rate=0.1, max_depth=-1,
min_child_samples=20, min_child_weight=0.001,
min_split_gain=0.0, n_estimators=100, n_jobs=-1,
num_leaves=31, objective=None, random_state=42,
reg_alpha=0.0, reg_lambda=0.0, silent=True,
subsample=1.0, subsample_for_bin=200000,
subsample_freq=0)]],
verbose=False)
2020-11-11 21:42:12,584:INFO:save_model() succesfully completed......................................
2020-11-11 21:42:59,729:INFO:Initializing load_model()
2020-11-11 21:42:59,729:INFO:load_model(verbose=True, authentication=None, platform=None, model_name=otto_Group_LGB)
2020-11-11 21:43:54,419:INFO:Initializing compare_models()
2020-11-11 21:43:54,420:INFO:compare_models(display=None, verbose=True, groups=None, fit_kwargs=None, errors=ignore, turbo=True, budget_time=None, n_select=1, sort=Accuracy, cross_validation=True, round=4, fold=None, include=None, exclude=None)
2020-11-11 21:43:54,420:INFO:Checking exceptions
2020-11-11 21:43:54,422:INFO:Preparing display monitor
2020-11-11 21:43:54,422:INFO:Preparing display monitor
2020-11-11 21:43:54,461:INFO:Initializing Logistic Regression
2020-11-11 21:43:54,461:INFO:Total runtime is 4.120667775472006e-06 minutes
2020-11-11 21:43:54,471:INFO:SubProcess create_model() called ==================================
2020-11-11 21:43:54,472:INFO:Initializing create_model()
2020-11-11 21:43:54,472:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=lr)
2020-11-11 21:43:54,472:INFO:Checking exceptions
2020-11-11 21:43:54,472:INFO:Importing libraries
2020-11-11 21:43:54,472:INFO:Copying training dataset
2020-11-11 21:43:54,536:INFO:Defining folds
2020-11-11 21:43:54,536:INFO:Declaring metric variables
2020-11-11 21:43:54,544:INFO:Importing untrained model
2020-11-11 21:43:54,553:INFO:Logistic Regression Imported succesfully
2020-11-11 21:43:54,576:INFO:Starting cross validation
2020-11-11 21:43:54,577:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:50:07,776:INFO:Calculating mean and std
2020-11-11 21:50:07,779:INFO:Creating metrics dataframe
2020-11-11 21:50:07,790:INFO:Uploading results into container
2020-11-11 21:50:07,790:INFO:Uploading model into container now
2020-11-11 21:50:07,790:INFO:create_model_container: 18
2020-11-11 21:50:07,790:INFO:master_model_container: 18
2020-11-11 21:50:07,790:INFO:display_container: 4
2020-11-11 21:50:07,791:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, l1_ratio=None, max_iter=1000,
multi_class='auto', n_jobs=None, penalty='l2',
random_state=42, solver='lbfgs', tol=0.0001, verbose=0,
warm_start=False)
2020-11-11 21:50:07,791:INFO:create_model() succesfully completed......................................
2020-11-11 21:50:07,921:INFO:SubProcess create_model() end ==================================
2020-11-11 21:50:07,921:INFO:Creating metrics dataframe
2020-11-11 21:50:07,953:INFO:Initializing K Neighbors Classifier
2020-11-11 21:50:07,953:INFO:Total runtime is 6.22486842473348 minutes
2020-11-11 21:50:07,969:INFO:SubProcess create_model() called ==================================
2020-11-11 21:50:07,969:INFO:Initializing create_model()
2020-11-11 21:50:07,969:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=knn)
2020-11-11 21:50:07,969:INFO:Checking exceptions
2020-11-11 21:50:07,969:INFO:Importing libraries
2020-11-11 21:50:07,969:INFO:Copying training dataset
2020-11-11 21:50:08,058:INFO:Defining folds
2020-11-11 21:50:08,058:INFO:Declaring metric variables
2020-11-11 21:50:08,074:INFO:Importing untrained model
2020-11-11 21:50:08,088:INFO:K Neighbors Classifier Imported succesfully
2020-11-11 21:50:08,117:INFO:Starting cross validation
2020-11-11 21:50:08,118:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:58:32,310:INFO:Calculating mean and std
2020-11-11 21:58:32,313:INFO:Creating metrics dataframe
2020-11-11 21:58:32,327:INFO:Uploading results into container
2020-11-11 21:58:32,328:INFO:Uploading model into container now
2020-11-11 21:58:32,328:INFO:create_model_container: 19
2020-11-11 21:58:32,329:INFO:master_model_container: 19
2020-11-11 21:58:32,329:INFO:display_container: 4
2020-11-11 21:58:32,330:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
weights='uniform')
2020-11-11 21:58:32,331:INFO:create_model() succesfully completed......................................
2020-11-11 21:58:32,471:INFO:SubProcess create_model() end ==================================
2020-11-11 21:58:32,471:INFO:Creating metrics dataframe
2020-11-11 21:58:32,505:INFO:Initializing Naive Bayes
2020-11-11 21:58:32,506:INFO:Total runtime is 14.634080775578816 minutes
2020-11-11 21:58:32,522:INFO:SubProcess create_model() called ==================================
2020-11-11 21:58:32,523:INFO:Initializing create_model()
2020-11-11 21:58:32,523:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=nb)
2020-11-11 21:58:32,523:INFO:Checking exceptions
2020-11-11 21:58:32,523:INFO:Importing libraries
2020-11-11 21:58:32,523:INFO:Copying training dataset
2020-11-11 21:58:32,661:INFO:Defining folds
2020-11-11 21:58:32,662:INFO:Declaring metric variables
2020-11-11 21:58:32,686:INFO:Importing untrained model
2020-11-11 21:58:32,716:INFO:Naive Bayes Imported succesfully
2020-11-11 21:58:32,770:INFO:Starting cross validation
2020-11-11 21:58:32,771:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:58:35,439:INFO:Calculating mean and std
2020-11-11 21:58:35,441:INFO:Creating metrics dataframe
2020-11-11 21:58:35,449:INFO:Uploading results into container
2020-11-11 21:58:35,450:INFO:Uploading model into container now
2020-11-11 21:58:35,450:INFO:create_model_container: 20
2020-11-11 21:58:35,450:INFO:master_model_container: 20
2020-11-11 21:58:35,450:INFO:display_container: 4
2020-11-11 21:58:35,450:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
2020-11-11 21:58:35,450:INFO:create_model() succesfully completed......................................
2020-11-11 21:58:35,552:INFO:SubProcess create_model() end ==================================
2020-11-11 21:58:35,552:INFO:Creating metrics dataframe
2020-11-11 21:58:35,587:INFO:Initializing Decision Tree Classifier
2020-11-11 21:58:35,588:INFO:Total runtime is 14.685444279511769 minutes
2020-11-11 21:58:35,600:INFO:SubProcess create_model() called ==================================
2020-11-11 21:58:35,601:INFO:Initializing create_model()
2020-11-11 21:58:35,601:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=dt)
2020-11-11 21:58:35,602:INFO:Checking exceptions
2020-11-11 21:58:35,602:INFO:Importing libraries
2020-11-11 21:58:35,602:INFO:Copying training dataset
2020-11-11 21:58:35,690:INFO:Defining folds
2020-11-11 21:58:35,690:INFO:Declaring metric variables
2020-11-11 21:58:35,702:INFO:Importing untrained model
2020-11-11 21:58:35,717:INFO:Decision Tree Classifier Imported succesfully
2020-11-11 21:58:35,750:INFO:Starting cross validation
2020-11-11 21:58:35,751:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:58:46,176:INFO:Calculating mean and std
2020-11-11 21:58:46,178:INFO:Creating metrics dataframe
2020-11-11 21:58:46,188:INFO:Uploading results into container
2020-11-11 21:58:46,188:INFO:Uploading model into container now
2020-11-11 21:58:46,189:INFO:create_model_container: 21
2020-11-11 21:58:46,189:INFO:master_model_container: 21
2020-11-11 21:58:46,189:INFO:display_container: 4
2020-11-11 21:58:46,190:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
max_depth=None, max_features=None, max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, presort='deprecated',
random_state=42, splitter='best')
2020-11-11 21:58:46,190:INFO:create_model() succesfully completed......................................
2020-11-11 21:58:46,357:INFO:SubProcess create_model() end ==================================
2020-11-11 21:58:46,357:INFO:Creating metrics dataframe
2020-11-11 21:58:46,443:INFO:Initializing SVM - Linear Kernel
2020-11-11 21:58:46,444:INFO:Total runtime is 14.866381271680195 minutes
2020-11-11 21:58:46,466:INFO:SubProcess create_model() called ==================================
2020-11-11 21:58:46,467:INFO:Initializing create_model()
2020-11-11 21:58:46,468:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=svm)
2020-11-11 21:58:46,468:INFO:Checking exceptions
2020-11-11 21:58:46,468:INFO:Importing libraries
2020-11-11 21:58:46,468:INFO:Copying training dataset
2020-11-11 21:58:46,566:INFO:Defining folds
2020-11-11 21:58:46,566:INFO:Declaring metric variables
2020-11-11 21:58:46,603:INFO:Importing untrained model
2020-11-11 21:58:46,636:INFO:SVM - Linear Kernel Imported succesfully
2020-11-11 21:58:46,696:INFO:Starting cross validation
2020-11-11 21:58:46,698:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:59:42,311:INFO:Calculating mean and std
2020-11-11 21:59:42,314:INFO:Creating metrics dataframe
2020-11-11 21:59:42,331:INFO:Uploading results into container
2020-11-11 21:59:42,332:INFO:Uploading model into container now
2020-11-11 21:59:42,332:INFO:create_model_container: 22
2020-11-11 21:59:42,333:INFO:master_model_container: 22
2020-11-11 21:59:42,333:INFO:display_container: 4
2020-11-11 21:59:42,335:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
l1_ratio=0.15, learning_rate='optimal', loss='hinge',
max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
power_t=0.5, random_state=42, shuffle=True, tol=0.001,
validation_fraction=0.1, verbose=0, warm_start=False)
2020-11-11 21:59:42,335:INFO:create_model() succesfully completed......................................
2020-11-11 21:59:42,478:INFO:SubProcess create_model() end ==================================
2020-11-11 21:59:42,479:INFO:Creating metrics dataframe
2020-11-11 21:59:42,523:INFO:Initializing Ridge Classifier
2020-11-11 21:59:42,523:INFO:Total runtime is 15.801038674513498 minutes
2020-11-11 21:59:42,551:INFO:SubProcess create_model() called ==================================
2020-11-11 21:59:42,553:INFO:Initializing create_model()
2020-11-11 21:59:42,553:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=ridge)
2020-11-11 21:59:42,554:INFO:Checking exceptions
2020-11-11 21:59:42,554:INFO:Importing libraries
2020-11-11 21:59:42,554:INFO:Copying training dataset
2020-11-11 21:59:42,693:INFO:Defining folds
2020-11-11 21:59:42,694:INFO:Declaring metric variables
2020-11-11 21:59:42,718:INFO:Importing untrained model
2020-11-11 21:59:42,747:INFO:Ridge Classifier Imported succesfully
2020-11-11 21:59:42,809:INFO:Starting cross validation
2020-11-11 21:59:42,810:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 21:59:46,670:INFO:Calculating mean and std
2020-11-11 21:59:46,674:INFO:Creating metrics dataframe
2020-11-11 21:59:46,699:INFO:Uploading results into container
2020-11-11 21:59:46,699:INFO:Uploading model into container now
2020-11-11 21:59:46,700:INFO:create_model_container: 23
2020-11-11 21:59:46,700:INFO:master_model_container: 23
2020-11-11 21:59:46,700:INFO:display_container: 4
2020-11-11 21:59:46,703:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
max_iter=None, normalize=False, random_state=42, solver='auto',
tol=0.001)
2020-11-11 21:59:46,703:INFO:create_model() succesfully completed......................................
2020-11-11 21:59:46,902:INFO:SubProcess create_model() end ==================================
2020-11-11 21:59:46,902:INFO:Creating metrics dataframe
2020-11-11 21:59:46,972:INFO:Initializing Random Forest Classifier
2020-11-11 21:59:46,973:INFO:Total runtime is 15.875198876857755 minutes
2020-11-11 21:59:47,001:INFO:SubProcess create_model() called ==================================
2020-11-11 21:59:47,002:INFO:Initializing create_model()
2020-11-11 21:59:47,002:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=rf)
2020-11-11 21:59:47,003:INFO:Checking exceptions
2020-11-11 21:59:47,003:INFO:Importing libraries
2020-11-11 21:59:47,003:INFO:Copying training dataset
2020-11-11 21:59:47,191:INFO:Defining folds
2020-11-11 21:59:47,191:INFO:Declaring metric variables
2020-11-11 21:59:47,280:INFO:Importing untrained model
2020-11-11 21:59:47,354:INFO:Random Forest Classifier Imported succesfully
2020-11-11 21:59:47,448:INFO:Starting cross validation
2020-11-11 21:59:47,450:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 22:00:43,652:INFO:Calculating mean and std
2020-11-11 22:00:43,655:INFO:Creating metrics dataframe
2020-11-11 22:00:43,673:INFO:Uploading results into container
2020-11-11 22:00:43,673:INFO:Uploading model into container now
2020-11-11 22:00:43,674:INFO:create_model_container: 24
2020-11-11 22:00:43,674:INFO:master_model_container: 24
2020-11-11 22:00:43,674:INFO:display_container: 4
2020-11-11 22:00:43,676:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, max_samples=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_jobs=-1, oob_score=False, random_state=42, verbose=0,
warm_start=False)
2020-11-11 22:00:43,676:INFO:create_model() succesfully completed......................................
2020-11-11 22:00:43,832:INFO:SubProcess create_model() end ==================================
2020-11-11 22:00:43,833:INFO:Creating metrics dataframe
2020-11-11 22:00:43,926:INFO:Initializing Quadratic Discriminant Analysis
2020-11-11 22:00:43,926:INFO:Total runtime is 16.82442500591278 minutes
2020-11-11 22:00:43,958:INFO:SubProcess create_model() called ==================================
2020-11-11 22:00:43,959:INFO:Initializing create_model()
2020-11-11 22:00:43,959:INFO:create_model(kwargs={}, display=<pycaret.internal.Display.Display object at 0x7fa5d4411e10>, metrics=None, system=False, verbose=False, refit=False, groups=None, fit_kwargs={}, predict=True, cross_validation=True, round=4, fold=StratifiedKFold(n_splits=10, random_state=42, shuffle=False), estimator=qda)
2020-11-11 22:00:43,959:INFO:Checking exceptions
2020-11-11 22:00:43,960:INFO:Importing libraries
2020-11-11 22:00:43,960:INFO:Copying training dataset
2020-11-11 22:00:44,085:INFO:Defining folds
2020-11-11 22:00:44,086:INFO:Declaring metric variables
2020-11-11 22:00:44,111:INFO:Importing untrained model
2020-11-11 22:00:44,139:INFO:Quadratic Discriminant Analysis Imported succesfully
2020-11-11 22:00:44,200:INFO:Starting cross validation
2020-11-11 22:00:44,202:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=42, shuffle=False), n_jobs=-1
2020-11-11 22:00:57,986:INFO:Calculating mean and std