10221121 1 Jan van Rijn 3543 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) 8146553 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": [1, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}] 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 "friedman_mse" 9667 init null 9667 learning_rate 0.00010450983783111938 9667 loss "deviance" 9667 max_depth 25 9667 max_features 0.8619270288023713 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.7525186375121133 9667 min_impurity_split null 9667 min_samples_leaf 10 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.17709220669235348 9667 n_estimators 186 9667 n_iter_no_change 50 9667 presort "auto" 9667 random_state 31389 9667 subsample 0.6455795649035163 9667 tol 0.0038164041408827983 9667 validation_fraction 0.7336443866787706 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 451 irish https://www.openml.org/data/download/52563/irish.arff -1 21363158 description https://api.openml.org/data/download/21363158/description.xml -1 21363159 predictions https://api.openml.org/data/download/21363159/predictions.arff area_under_roc_curve 0.9605612807051654 [0.960561,0.960561] average_cost 0 kappa 0 kb_relative_information_score 15.271094980201513 mean_absolute_error 0.48122687098210853 mean_prior_absolute_error 0.49375298804780854 number_of_instances 500 [278,222] predictive_accuracy 0.556 prior_entropy 0.9910046621528215 recall 0.556 [1,0] relative_absolute_error 0.9746308025087087 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.4939102093199121 root_relative_squared_error 0.9940748324511148 total_cost 0 area_under_roc_curve 0.9862012987012986 [0.986201,0.986201] area_under_roc_curve 0.9667207792207794 [0.966721,0.966721] area_under_roc_curve 0.9853896103896104 [0.98539,0.98539] area_under_roc_curve 0.9569805194805194 [0.956981,0.956981] area_under_roc_curve 0.9480519480519481 [0.948052,0.948052] area_under_roc_curve 0.9740259740259739 [0.974026,0.974026] area_under_roc_curve 0.9391233766233766 [0.939123,0.939123] area_under_roc_curve 0.9967532467532467 [0.996753,0.996753] area_under_roc_curve 0.9814814814814815 [0.981481,0.981481] area_under_roc_curve 0.9863123993558776 [0.986312,0.986312] 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 1.6475923053926076 kb_relative_information_score 1.4669416633533248 kb_relative_information_score 1.6143225401696113 kb_relative_information_score 1.4905306133679341 kb_relative_information_score 1.5398434356660209 kb_relative_information_score 1.551719393879948 kb_relative_information_score 1.5126400867065675 kb_relative_information_score 1.769787669057593 kb_relative_information_score 1.3884847303816874 kb_relative_information_score 1.2892325422262048 mean_absolute_error 0.4797937299291998 mean_absolute_error 0.48130162219516087 mean_absolute_error 0.48006722571723087 mean_absolute_error 0.4811008717578866 mean_absolute_error 0.4806966272472923 mean_absolute_error 0.48059681434521623 mean_absolute_error 0.4809215099032526 mean_absolute_error 0.4787687133601961 mean_absolute_error 0.48409464131573904 mean_absolute_error 0.48492695404991065 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49553784860557826 mean_prior_absolute_error 0.49553784860557826 number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [27,23] number_of_instances 50 [27,23] predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.54 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.54 [1,0] recall 0.54 [1,0] relative_absolute_error 0.9726072218723067 relative_absolute_error 0.9756639248181656 relative_absolute_error 0.9731616350753096 relative_absolute_error 0.9752569763465466 relative_absolute_error 0.974437517679456 relative_absolute_error 0.9742351833358839 relative_absolute_error 0.9748933854443246 relative_absolute_error 0.9705293737151437 relative_absolute_error 0.9769075009667982 relative_absolute_error 0.97858711582672 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49864707994207336 root_mean_prior_squared_error 0.49864707994207336 root_mean_squared_error 0.492219430003593 root_mean_squared_error 0.49413493892355725 root_mean_squared_error 0.4926744032419752 root_mean_squared_error 0.4941769187656744 root_mean_squared_error 0.4933558594788601 root_mean_squared_error 0.4932838110496751 root_mean_squared_error 0.49378125698678105 root_mean_squared_error 0.49123774186025515 root_mean_squared_error 0.4966788643858014 root_mean_squared_error 0.4975253596380603 root_relative_squared_error 0.9915684154657385 root_relative_squared_error 0.9954271785067781 root_relative_squared_error 0.9924849520052625 root_relative_squared_error 0.995511746248302 root_relative_squared_error 0.9938577350362213 root_relative_squared_error 0.9937125945919216 root_relative_squared_error 0.9947146917249673 root_relative_squared_error 0.9895908199109188 root_relative_squared_error 0.9960528886351834 root_relative_squared_error 0.9977504725303047 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 156.3332360019558 usercpu_time_millis 149.1957940015709 usercpu_time_millis 150.61403200161294 usercpu_time_millis 150.2284950001922 usercpu_time_millis 138.72055100364378 usercpu_time_millis 137.94081700325478 usercpu_time_millis 138.22437699855072 usercpu_time_millis 140.02162999895518 usercpu_time_millis 138.52914300150587 usercpu_time_millis 138.6373570021533 usercpu_time_millis_testing 3.310924999823328 usercpu_time_millis_testing 3.2802509995235596 usercpu_time_millis_testing 3.2879210011742543 usercpu_time_millis_testing 3.049348000786267 usercpu_time_millis_testing 3.078453002672177 usercpu_time_millis_testing 3.074440002819756 usercpu_time_millis_testing 2.969483997731004 usercpu_time_millis_testing 3.0090289983490948 usercpu_time_millis_testing 3.059236001718091 usercpu_time_millis_testing 3.0753829996683635 usercpu_time_millis_training 153.02231100213248 usercpu_time_millis_training 145.91554300204734 usercpu_time_millis_training 147.3261110004387 usercpu_time_millis_training 147.17914699940593 usercpu_time_millis_training 135.6420980009716 usercpu_time_millis_training 134.86637700043502 usercpu_time_millis_training 135.25489300081972 usercpu_time_millis_training 137.01260100060608 usercpu_time_millis_training 135.46990699978778 usercpu_time_millis_training 135.56197400248493