10224551 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) 8149983 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 "mean" 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 2.727849001614195e-05 9667 loss "deviance" 9667 max_depth 7 9667 max_features 0.43980550906645155 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.18273271936933333 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 8 9667 min_weight_fraction_leaf 0.049410790802261795 9667 n_estimators 67 9667 n_iter_no_change 1711 9667 presort "auto" 9667 random_state 17004 9667 subsample 0.019027632778481518 9667 tol 3.568577269831713e-05 9667 validation_fraction 0.7776434886130498 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 21370018 description https://api.openml.org/data/download/21370018/description.xml -1 21370019 predictions https://api.openml.org/data/download/21370019/predictions.arff area_under_roc_curve 0.5240913957705118 [0.528477,0.493567,0.530518,0.502347,0.57551,0.499774] average_cost 0 kappa 0 kb_relative_information_score 97.6712016459506 mean_absolute_error 0.2768834721770463 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 1.014671287625953 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37158735789825736 root_relative_squared_error 1.0060010713285077 total_cost 0 area_under_roc_curve 0.5599889191087061 [0.669113,0.454687,0.402019,0.543454,0.708899,0.657526] area_under_roc_curve 0.5461085430998991 [0.597973,0.471007,0.521365,0.521449,0.684968,0.431548] area_under_roc_curve 0.5744729752835752 [0.675715,0.449964,0.460877,0.469818,0.764721,0.703869] area_under_roc_curve 0.535048053777701 [0.59009,0.497609,0.584628,0.5274,0.602051,0.261905] area_under_roc_curve 0.5176967118303307 [0.535026,0.552965,0.580882,0.487686,0.548015,0.288684] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5799524884410964 [0.385491,0.463445,0.679502,0.466847,0.841169,0.693783] area_under_roc_curve 0.5450178139601699 [0.320729,0.459484,0.62047,0.493937,0.696604,0.796884] area_under_roc_curve 0.5556628255674911 [0.426822,0.427371,0.592347,0.494926,0.724935,0.748236] area_under_roc_curve 0.5894351472546107 [0.513988,0.443217,0.643713,0.538227,0.676411,0.757569] 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 9.885158861075814 kb_relative_information_score 9.885454301972077 kb_relative_information_score 9.885751074456143 kb_relative_information_score 9.884671454663597 kb_relative_information_score 9.642063668342914 kb_relative_information_score 9.80185535031337 kb_relative_information_score 9.67130206720619 kb_relative_information_score 9.671050197390432 kb_relative_information_score 9.67211422563849 kb_relative_information_score 9.671780444890997 mean_absolute_error 0.2768923833282554 mean_absolute_error 0.2768922867324697 mean_absolute_error 0.27689220426756467 mean_absolute_error 0.27689292244176206 mean_absolute_error 0.27688102220808514 mean_absolute_error 0.27689374669513983 mean_absolute_error 0.276872494472918 mean_absolute_error 0.2768725865173584 mean_absolute_error 0.27687246273336297 mean_absolute_error 0.276872455625845 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 1.0146109479256797 relative_absolute_error 1.0146105939717698 relative_absolute_error 1.0146102917973494 relative_absolute_error 1.0146129233879855 relative_absolute_error 1.014943800052216 relative_absolute_error 1.0147217868686682 relative_absolute_error 1.0146505636275676 relative_absolute_error 1.0146509009414764 relative_absolute_error 1.0146504473120863 relative_absolute_error 1.0146504212652696 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 0.3715989560870628 root_mean_squared_error 0.3715988275944423 root_mean_squared_error 0.37159871465021815 root_mean_squared_error 0.37159967219375756 root_mean_squared_error 0.3715815726573822 root_mean_squared_error 0.3715986924754081 root_mean_squared_error 0.3715742235172196 root_mean_squared_error 0.3715743620269181 root_mean_squared_error 0.37157419819821136 root_mean_squared_error 0.371574170285436 root_relative_squared_error 1.0059402709543575 root_relative_squared_error 1.005939923117262 root_relative_squared_error 1.0059396173705921 root_relative_squared_error 1.0059422094973773 root_relative_squared_error 1.0062645418080844 root_relative_squared_error 1.0060444953096492 root_relative_squared_error 1.0059848519300594 root_relative_squared_error 1.0059852269255511 root_relative_squared_error 1.0059847833824125 root_relative_squared_error 1.0059847078125062 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 355.879050999647 usercpu_time_millis 347.68342999814195 usercpu_time_millis 325.53048499903525 usercpu_time_millis 328.0346890023793 usercpu_time_millis 327.6648169994587 usercpu_time_millis 326.45548100117594 usercpu_time_millis 326.5035159965919 usercpu_time_millis 329.25657899977523 usercpu_time_millis 322.5381600022956 usercpu_time_millis 322.5965530000394 usercpu_time_millis_testing 2.971884998260066 usercpu_time_millis_testing 2.802235998387914 usercpu_time_millis_testing 2.7370509997126646 usercpu_time_millis_testing 2.8601400008483324 usercpu_time_millis_testing 2.90282300193212 usercpu_time_millis_testing 2.684333001525374 usercpu_time_millis_testing 2.804028998070862 usercpu_time_millis_testing 2.8547200017783325 usercpu_time_millis_testing 2.671407000889303 usercpu_time_millis_testing 2.746007998212008 usercpu_time_millis_training 352.90716600138694 usercpu_time_millis_training 344.88119399975403 usercpu_time_millis_training 322.7934339993226 usercpu_time_millis_training 325.174549001531 usercpu_time_millis_training 324.7619939975266 usercpu_time_millis_training 323.77114799965057 usercpu_time_millis_training 323.699486998521 usercpu_time_millis_training 326.4018589979969 usercpu_time_millis_training 319.8667530014063 usercpu_time_millis_training 319.8505450018274