10221188 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) 8146620 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 "median" 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 "friedman_mse" 9667 init null 9667 learning_rate 0.004408489470738348 9667 loss "deviance" 9667 max_depth 31 9667 max_features 0.9330190500451147 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.4286379825372203 9667 min_impurity_split null 9667 min_samples_leaf 20 9667 min_samples_split 16 9667 min_weight_fraction_leaf 0.20589061702457606 9667 n_estimators 371 9667 n_iter_no_change 921 9667 presort "auto" 9667 random_state 62490 9667 subsample 0.014470562397899678 9667 tol 0.025688204130151215 9667 validation_fraction 0.7417398818785778 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 21363292 description https://api.openml.org/data/download/21363292/description.xml -1 21363293 predictions https://api.openml.org/data/download/21363293/predictions.arff area_under_roc_curve 0.49868678363265806 [0.497917,0.499343,0.500567,0.499926,0.496094,0.496429] average_cost 0 kappa 0 kb_relative_information_score 57.62483775327219 mean_absolute_error 0.27355517948943714 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 1.00247437677252 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.3701936874637589 root_relative_squared_error 1.002227977544816 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 5.895165496319159 kb_relative_information_score 5.895165496319159 kb_relative_information_score 5.895165496319159 kb_relative_information_score 5.895165496319159 kb_relative_information_score 5.836395339897887 kb_relative_information_score 5.950081435182479 kb_relative_information_score 5.564424748228764 kb_relative_information_score 5.564424748228764 kb_relative_information_score 5.564424748228764 kb_relative_information_score 5.564424748228764 mean_absolute_error 0.27374806497883997 mean_absolute_error 0.27374806497883997 mean_absolute_error 0.27374806497883997 mean_absolute_error 0.27374806497883997 mean_absolute_error 0.2737157900742973 mean_absolute_error 0.27366319675380923 mean_absolute_error 0.2732942049859472 mean_absolute_error 0.2732942049859472 mean_absolute_error 0.2732942049859472 mean_absolute_error 0.2732942049859472 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 1.0030892882009395 relative_absolute_error 1.0030892882009395 relative_absolute_error 1.0030892882009395 relative_absolute_error 1.0030892882009395 relative_absolute_error 1.0033412254001342 relative_absolute_error 1.0028829156476267 relative_absolute_error 1.001537258704703 relative_absolute_error 1.001537258704703 relative_absolute_error 1.001537258704703 relative_absolute_error 1.001537258704703 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 0.3703810450809622 root_mean_squared_error 0.3703810450809622 root_mean_squared_error 0.3703810450809622 root_mean_squared_error 0.3703810450809622 root_mean_squared_error 0.3703374726526105 root_mean_squared_error 0.3702555321872131 root_mean_squared_error 0.3699539330582205 root_mean_squared_error 0.3699539330582205 root_mean_squared_error 0.3699539330582205 root_mean_squared_error 0.3699539330582205 root_relative_squared_error 1.002643314094263 root_relative_squared_error 1.002643314094263 root_relative_squared_error 1.002643314094263 root_relative_squared_error 1.002643314094263 root_relative_squared_error 1.00289544653161 root_relative_squared_error 1.0024081019594586 root_relative_squared_error 1.0015981438262225 root_relative_squared_error 1.0015981438262225 root_relative_squared_error 1.0015981438262225 root_relative_squared_error 1.0015981438262225 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 1653.2939640019322 usercpu_time_millis 1562.69557899941 usercpu_time_millis 1552.3328390008828 usercpu_time_millis 1559.896046997892 usercpu_time_millis 1556.47816200144 usercpu_time_millis 1547.463051003433 usercpu_time_millis 1563.6027599975932 usercpu_time_millis 1557.1671949983283 usercpu_time_millis 1548.718606998591 usercpu_time_millis 1556.0772809985792 usercpu_time_millis_testing 4.0001460001803935 usercpu_time_millis_testing 3.7757969985250384 usercpu_time_millis_testing 3.9896480011520907 usercpu_time_millis_testing 3.788390000408981 usercpu_time_millis_testing 4.1733230027602986 usercpu_time_millis_testing 3.8180640003702138 usercpu_time_millis_testing 4.208101996482583 usercpu_time_millis_testing 3.80787999893073 usercpu_time_millis_testing 4.017079001641832 usercpu_time_millis_testing 3.9423839989467524 usercpu_time_millis_training 1649.2938180017518 usercpu_time_millis_training 1558.9197820008849 usercpu_time_millis_training 1548.3431909997307 usercpu_time_millis_training 1556.107656997483 usercpu_time_millis_training 1552.3048389986798 usercpu_time_millis_training 1543.6449870030629 usercpu_time_millis_training 1559.3946580011107 usercpu_time_millis_training 1553.3593149993976 usercpu_time_millis_training 1544.7015279969492 usercpu_time_millis_training 1552.1348969996325