9910147 6892 Scikit-learn Bot 14 Supervised Classification 8834 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1) 7839540 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "median" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "mae" 8843 init null 8843 learning_rate 0.05143612923477821 8843 loss "deviance" 8843 max_depth 7 8843 max_features 0.4120733082754281 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.24975485017515353 8843 min_impurity_split null 8843 min_samples_leaf 3 8843 min_samples_split 11 8843 min_weight_fraction_leaf 0.3584386299069056 8843 n_estimators 339 8843 n_iter_no_change 334 8843 presort "auto" 8843 random_state 34920 8843 subsample 0.5538184312074672 8843 tol 0.00024255755616433533 8843 validation_fraction 0.09489506918986212 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 20740750 description https://api.openml.org/data/download/20740750/description.xml -1 20740751 predictions https://api.openml.org/data/download/20740751/predictions.arff area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 6.102915994083366 mean_absolute_error 0.18000000000000116 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.1 prior_entropy 3.321928094887362 recall 0.1 [0,0,1,0,0,0,0,0,0,0] relative_absolute_error 0.9999999999999757 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3000083248297452 root_relative_squared_error 1.0000277494324685 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 kb_relative_information_score 0.6102915994083421 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_absolute_error 0.18000000000000013 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 relative_absolute_error 1.0000000000000018 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_mean_squared_error 0.30000832482974477 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 root_relative_squared_error 1.0000277494324832 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 108180.55938199905 usercpu_time_millis 107858.60077599864 usercpu_time_millis 107988.04536999887 usercpu_time_millis 107601.70107099839 usercpu_time_millis 107936.51346099796 usercpu_time_millis 108046.7289799999 usercpu_time_millis 107511.69678099905 usercpu_time_millis 107673.3861419998 usercpu_time_millis 108269.43701699929 usercpu_time_millis 108059.921019998 usercpu_time_millis_testing 7.000177000008989 usercpu_time_millis_testing 6.42744499782566 usercpu_time_millis_testing 7.073590000800323 usercpu_time_millis_testing 6.41007800004445 usercpu_time_millis_testing 6.824090000009164 usercpu_time_millis_testing 6.271109999943292 usercpu_time_millis_testing 7.098353999026585 usercpu_time_millis_testing 6.5709730006346945 usercpu_time_millis_testing 7.176074999733828 usercpu_time_millis_testing 6.301312998402864 usercpu_time_millis_training 108173.55920499904 usercpu_time_millis_training 107852.17333100081 usercpu_time_millis_training 107980.97177999807 usercpu_time_millis_training 107595.29099299834 usercpu_time_millis_training 107929.68937099795 usercpu_time_millis_training 108040.45786999995 usercpu_time_millis_training 107504.59842700002 usercpu_time_millis_training 107666.81516899916 usercpu_time_millis_training 108262.26094199956 usercpu_time_millis_training 108053.6197069996