10218729 1 Jan van Rijn 3954 Supervised Classification 9666 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)(4) 8144161 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "most_frequent" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "mse" 9667 init null 9667 learning_rate 0.0007413532137452587 9667 loss "deviance" 9667 max_depth 31 9667 max_features 0.15487415701254037 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5406545133638048 9667 min_impurity_split null 9667 min_samples_leaf 4 9667 min_samples_split 4 9667 min_weight_fraction_leaf 0.43928458122734587 9667 n_estimators 161 9667 n_iter_no_change 1188 9667 presort "auto" 9667 random_state 15920 9667 subsample 0.7175819720373798 9667 tol 7.276745242718059e-05 9667 validation_fraction 0.6787633525999639 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 21358374 description https://api.openml.org/data/download/21358374/description.xml -1 21358375 predictions https://api.openml.org/data/download/21358375/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 59.345610818725426 mean_absolute_error 0.454660934383451 mean_prior_absolute_error 0.45597723417494307 number_of_instances 19020 [12332,6688] predictive_accuracy 0.6483701366982124 prior_entropy 0.9355290146976065 recall 0.6483701366982124 [1,0] relative_absolute_error 0.997113233528262 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.47749957202088905 root_relative_squared_error 1.0000428492453843 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 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 5.951384784442959 kb_relative_information_score 5.951384784442959 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 kb_relative_information_score 5.930355156229379 mean_absolute_error 0.45453240407698936 mean_absolute_error 0.45453240407698936 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_absolute_error 0.45469306696010947 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 number_of_instances 1902 [1234,668] number_of_instances 1902 [1234,668] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] predictive_accuracy 0.6487907465825447 predictive_accuracy 0.6487907465825447 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 predictive_accuracy 0.6482649842271293 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 prior_entropy 0.9355290146976065 recall 0.6487907465825447 [1,0] recall 0.6487907465825447 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] recall 0.6482649842271293 [1,0] relative_absolute_error 0.9971042573731788 relative_absolute_error 0.9971042573731788 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 relative_absolute_error 0.9971154767995553 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_squared_error 0.47736496621939767 root_mean_squared_error 0.47736496621939767 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_mean_squared_error 0.4775332175427871 root_relative_squared_error 1.00003468486099 root_relative_squared_error 1.00003468486099 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 root_relative_squared_error 1.0000448889345883 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 470.02330900068046 usercpu_time_millis 442.80243899993366 usercpu_time_millis 429.2073770011484 usercpu_time_millis 426.0127109992027 usercpu_time_millis 426.3445539982058 usercpu_time_millis 428.7466809983016 usercpu_time_millis 425.9276999946451 usercpu_time_millis 430.6025430014415 usercpu_time_millis 426.89079100091476 usercpu_time_millis 426.99244799950975 usercpu_time_millis_testing 1.947058000951074 usercpu_time_millis_testing 1.811624999390915 usercpu_time_millis_testing 1.8312060019525234 usercpu_time_millis_testing 1.8076069973176345 usercpu_time_millis_testing 1.834730999689782 usercpu_time_millis_testing 1.805755000532372 usercpu_time_millis_testing 1.8203019972133916 usercpu_time_millis_testing 1.8274540016136598 usercpu_time_millis_testing 1.8150770010834094 usercpu_time_millis_testing 1.8153849996451754 usercpu_time_millis_training 468.0762509997294 usercpu_time_millis_training 440.99081400054274 usercpu_time_millis_training 427.3761709991959 usercpu_time_millis_training 424.20510400188505 usercpu_time_millis_training 424.50982299851603 usercpu_time_millis_training 426.9409259977692 usercpu_time_millis_training 424.1073979974317 usercpu_time_millis_training 428.77508899982786 usercpu_time_millis_training 425.07571399983135 usercpu_time_millis_training 425.1770629998646