9954189 6892 Scikit-learn Bot 3512 Supervised Classification 8890 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)(3) 7882102 memory null 8890 n_jobs null 8891 remainder "passthrough" 8891 sparse_threshold 0.3 8891 transformer_weights null 8891 memory null 8892 axis 0 8893 copy true 8893 missing_values "NaN" 8893 strategy "mean" 8893 verbose 0 8893 copy true 8894 with_mean true 8894 with_std true 8894 memory null 8895 copy true 8896 fill_value -1 8896 missing_values NaN 8896 strategy "constant" 8896 verbose 0 8896 categorical_features null 8897 categories null 8897 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8897 handle_unknown "ignore" 8897 n_values null 8897 sparse true 8897 threshold 0.0 8898 criterion "mse" 8899 init null 8899 learning_rate 0.015749581144215093 8899 loss "deviance" 8899 max_depth 5 8899 max_features 0.018202510492690505 8899 max_leaf_nodes null 8899 min_impurity_decrease 0.6503222355165674 8899 min_impurity_split null 8899 min_samples_leaf 14 8899 min_samples_split 14 8899 min_weight_fraction_leaf 0.23020296837219067 8899 n_estimators 409 8899 n_iter_no_change 12 8899 presort "auto" 8899 random_state 15380 8899 subsample 0.8461555582424501 8899 tol 1.2174699311107102e-05 8899 validation_fraction 0.6735526223818272 8899 verbose 0 8899 warm_start false 8899 openml-python Sklearn_0.20.2. 377 synthetic_control https://www.openml.org/data/download/52417/synthetic_control.arff -1 20828893 description https://api.openml.org/data/download/20828893/description.xml -1 20828894 predictions https://api.openml.org/data/download/20828894/predictions.arff area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 5.937003610707775 mean_absolute_error 0.2777777777777774 mean_prior_absolute_error 0.2777777777777742 number_of_instances 600 [100,100,100,100,100,100] predictive_accuracy 0.16666666666666669 prior_entropy 2.584962500721156 recall 0.16666666666666666 [0,0,0,0,1,0] relative_absolute_error 1.0000000000000115 root_mean_prior_squared_error 0.37267799624996256 root_mean_squared_error 0.37284858467953574 root_relative_squared_error 1.0004577367896408 total_cost 0 area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] area_under_roc_curve 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] 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 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 kb_relative_information_score 0.5937003610707742 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_absolute_error 0.27777777777777785 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 predictive_accuracy 0.16666666666666669 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 prior_entropy 2.584962500721156 recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] recall 0.16666666666666666 [0,0,0,0,1,0] relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 relative_absolute_error 0.9999999999999989 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_mean_squared_error 0.3728485846795352 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 root_relative_squared_error 1.000457736789632 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 48.799146999954246 usercpu_time_millis 48.90923498896882 usercpu_time_millis 45.277791999978945 usercpu_time_millis 44.11048398469575 usercpu_time_millis 43.98423001111951 usercpu_time_millis 43.66876799031161 usercpu_time_millis 44.221415009815246 usercpu_time_millis 45.21288099931553 usercpu_time_millis 44.76510999666061 usercpu_time_millis 43.87181099446025 usercpu_time_millis_testing 1.9016699952771887 usercpu_time_millis_testing 1.8801639962475747 usercpu_time_millis_testing 1.8470890063326806 usercpu_time_millis_testing 1.8694259924814105 usercpu_time_millis_testing 1.7046360007952899 usercpu_time_millis_testing 1.7031269962899387 usercpu_time_millis_testing 2.0137460087426007 usercpu_time_millis_testing 1.6897220048122108 usercpu_time_millis_testing 1.790768001228571 usercpu_time_millis_testing 1.7593469965504482 usercpu_time_millis_training 46.89747700467706 usercpu_time_millis_training 47.029070992721245 usercpu_time_millis_training 43.430702993646264 usercpu_time_millis_training 42.24105799221434 usercpu_time_millis_training 42.27959401032422 usercpu_time_millis_training 41.96564099402167 usercpu_time_millis_training 42.207669001072645 usercpu_time_millis_training 43.52315899450332 usercpu_time_millis_training 42.97434199543204 usercpu_time_millis_training 42.1124639979098