10224526 1 Jan van Rijn 14967 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) 8149958 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": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 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 0.026352958590544026 9667 loss "deviance" 9667 max_depth 17 9667 max_features 0.7960472801986426 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.6672841829729755 9667 min_impurity_split null 9667 min_samples_leaf 10 9667 min_samples_split 14 9667 min_weight_fraction_leaf 0.34581033717802057 9667 n_estimators 504 9667 n_iter_no_change 1935 9667 presort "auto" 9667 random_state 21946 9667 subsample 0.9905363724156822 9667 tol 0.0034299762484584456 9667 validation_fraction 0.4991832136173553 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 21369968 description https://api.openml.org/data/download/21369968/description.xml -1 21369969 predictions https://api.openml.org/data/download/21369969/predictions.arff area_under_roc_curve 0.49820016392057437 [0.497917,0.498985,0.499433,0.499447,0.496094,0.495618] average_cost 0 kappa 0 kb_relative_information_score 20.954527458113063 mean_absolute_error 0.2730575173686245 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] predictive_accuracy 0.24320457796852646 prior_entropy 2.5206634795042744 recall 0.24320457796852646 [0,0,1,0,0,0] relative_absolute_error 1.0006506367675378 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.3694413359097325 root_relative_squared_error 1.000191130883382 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 2.0719412638960417 kb_relative_information_score 2.0719412638960417 kb_relative_information_score 2.0719412638960417 kb_relative_information_score 2.0719412638960417 kb_relative_information_score 1.9885447996356151 kb_relative_information_score 1.9770663425695707 kb_relative_information_score 2.175287815080736 kb_relative_information_score 2.175287815080736 kb_relative_information_score 2.175287815080736 kb_relative_information_score 2.175287815080736 mean_absolute_error 0.27304923139529813 mean_absolute_error 0.27304923139529813 mean_absolute_error 0.27304923139529813 mean_absolute_error 0.27304923139529813 mean_absolute_error 0.27295495889274246 mean_absolute_error 0.2730162482168671 mean_absolute_error 0.27310191882546414 mean_absolute_error 0.27310191882546414 mean_absolute_error 0.27310191882546414 mean_absolute_error 0.27310191882546414 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] relative_absolute_error 1.0005285669701243 relative_absolute_error 1.0005285669701243 relative_absolute_error 1.0005285669701243 relative_absolute_error 1.0005285669701243 relative_absolute_error 1.0005522986457929 relative_absolute_error 1.00051206840657 relative_absolute_error 1.0008325904367936 relative_absolute_error 1.0008325904367936 relative_absolute_error 1.0008325904367936 relative_absolute_error 1.0008325904367936 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.36947378796176256 root_mean_squared_error 0.36947378796176256 root_mean_squared_error 0.36947378796176256 root_mean_squared_error 0.36947378796176256 root_mean_squared_error 0.3693108403929161 root_mean_squared_error 0.3694173241066019 root_mean_squared_error 0.3694475253590521 root_mean_squared_error 0.3694475253590521 root_mean_squared_error 0.3694475253590521 root_mean_squared_error 0.3694475253590521 root_relative_squared_error 1.0001873156115892 root_relative_squared_error 1.0001873156115892 root_relative_squared_error 1.0001873156115892 root_relative_squared_error 1.0001873156115892 root_relative_squared_error 1.000115266575379 root_relative_squared_error 1.0001387865864535 root_relative_squared_error 1.0002271163382501 root_relative_squared_error 1.0002271163382501 root_relative_squared_error 1.0002271163382501 root_relative_squared_error 1.0002271163382501 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 4183.775904999493 usercpu_time_millis 4065.4881700029364 usercpu_time_millis 4071.558997999091 usercpu_time_millis 4081.614869999612 usercpu_time_millis 4092.977639997116 usercpu_time_millis 4119.734473995777 usercpu_time_millis 4065.6270350009436 usercpu_time_millis 4184.79920900063 usercpu_time_millis 4097.874041999603 usercpu_time_millis 4057.1008149963745 usercpu_time_millis_testing 4.7363199992105365 usercpu_time_millis_testing 4.607374001352582 usercpu_time_millis_testing 4.725407998193987 usercpu_time_millis_testing 4.533674000413157 usercpu_time_millis_testing 4.798072997800773 usercpu_time_millis_testing 4.661924998799805 usercpu_time_millis_testing 4.732420999062015 usercpu_time_millis_testing 4.7138999980234075 usercpu_time_millis_testing 4.8468150016560685 usercpu_time_millis_testing 4.640741997718578 usercpu_time_millis_training 4179.039585000282 usercpu_time_millis_training 4060.880796001584 usercpu_time_millis_training 4066.833590000897 usercpu_time_millis_training 4077.081195999199 usercpu_time_millis_training 4088.1795669993153 usercpu_time_millis_training 4115.072548996977 usercpu_time_millis_training 4060.8946140018816 usercpu_time_millis_training 4180.085309002607 usercpu_time_millis_training 4093.027226997947 usercpu_time_millis_training 4052.460072998656