9954237 6892 Scikit-learn Bot 125921 Supervised Classification 8890 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)(3) 7882150 memory null 8890 n_jobs null 8891 remainder "passthrough" 8891 sparse_threshold 0.3 8891 transformer_weights null 8891 memory null 8892 axis 0 8893 copy true 8893 missing_values "NaN" 8893 strategy "median" 8893 verbose 0 8893 copy true 8894 with_mean true 8894 with_std true 8894 memory null 8895 copy true 8896 fill_value -1 8896 missing_values NaN 8896 strategy "constant" 8896 verbose 0 8896 categorical_features null 8897 categories null 8897 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8897 handle_unknown "ignore" 8897 n_values null 8897 sparse true 8897 threshold 0.0 8898 criterion "mse" 8899 init null 8899 learning_rate 0.04426006442246963 8899 loss "deviance" 8899 max_depth 7 8899 max_features 0.9852496556960577 8899 max_leaf_nodes null 8899 min_impurity_decrease 0.8568476253645437 8899 min_impurity_split null 8899 min_samples_leaf 2 8899 min_samples_split 8 8899 min_weight_fraction_leaf 0.20392547481548073 8899 n_estimators 215 8899 n_iter_no_change 232 8899 presort "auto" 8899 random_state 6861 8899 subsample 0.9500141940112269 8899 tol 0.00021128360959744996 8899 validation_fraction 0.6523052718925489 8899 verbose 0 8899 warm_start false 8899 openml-python Sklearn_0.20.2. 40496 LED-display-domain-7digit https://www.openml.org/data/download/4535757/phpSj3fWL -1 20828990 description https://api.openml.org/data/download/20828990/description.xml -1 20828991 predictions https://api.openml.org/data/download/20828991/predictions.arff area_under_roc_curve 0.4892870287148938 [0.469475,0.5,0.501092,0.479209,0.5,0.489269,0.501174,0.488119,0.47784,0.489819] average_cost 0 kappa 0 kb_relative_information_score 11.699469563268263 mean_absolute_error 0.17972539467363585 mean_prior_absolute_error 0.17974901960784273 number_of_instances 500 [45,37,51,57,52,52,47,57,53,49] predictive_accuracy 0.106 prior_entropy 3.3126901837382854 recall 0.106 [0,0,0,0,0,0,0,0,1,0] relative_absolute_error 0.999868567103963 root_mean_prior_squared_error 0.29978667283894056 root_mean_squared_error 0.30040832955005203 root_relative_squared_error 1.0020736635996006 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] 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 1.1186456268035334 kb_relative_information_score 1.1186456268035334 kb_relative_information_score 1.1133514813455077 kb_relative_information_score 1.0380450966209953 kb_relative_information_score 1.1250997312337143 kb_relative_information_score 1.1884337803139915 kb_relative_information_score 1.2079342234929182 kb_relative_information_score 1.2631046655513563 kb_relative_information_score 1.2631046655513563 kb_relative_information_score 1.2631046655513563 mean_absolute_error 0.17956922954939147 mean_absolute_error 0.17956922954939147 mean_absolute_error 0.17957390363047923 mean_absolute_error 0.17980016504138832 mean_absolute_error 0.17982675916297147 mean_absolute_error 0.17992401683661072 mean_absolute_error 0.179922327967846 mean_absolute_error 0.17968943833276235 mean_absolute_error 0.17968943833276235 mean_absolute_error 0.17968943833276235 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17974117647058832 mean_prior_absolute_error 0.17970980392156874 mean_prior_absolute_error 0.17975686274509817 mean_prior_absolute_error 0.17981960784313739 mean_prior_absolute_error 0.17984313725490206 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,6,4,6,6,5] number_of_instances 50 [4,4,5,6,5,6,4,6,5,5] number_of_instances 50 [4,4,6,6,6,5,4,5,5,5] number_of_instances 50 [5,4,5,6,6,5,5,5,5,4] number_of_instances 50 [5,4,5,6,5,5,5,5,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] predictive_accuracy 0.12 predictive_accuracy 0.12 predictive_accuracy 0.12 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 recall 0.12 [0,0,0,0,0,0,0,0,1,0] recall 0.12 [0,0,0,0,0,0,0,0,1,0] recall 0.12 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] relative_absolute_error 0.998825441390254 relative_absolute_error 0.998825441390254 relative_absolute_error 0.9990693682805818 relative_absolute_error 1.0005028168627852 relative_absolute_error 1.0003888386613224 relative_absolute_error 1.0005806318605943 relative_absolute_error 1.000440332136954 relative_absolute_error 1.0000176074826357 relative_absolute_error 1.0000176074826357 relative_absolute_error 1.0000176074826357 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2997735913561878 root_mean_prior_squared_error 0.2997212597157016 root_mean_prior_squared_error 0.2997997537508937 root_mean_prior_squared_error 0.29990438050674706 root_mean_prior_squared_error 0.29994360613105325 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_squared_error 0.2999976383863871 root_mean_squared_error 0.2999976383863871 root_mean_squared_error 0.3000054284817147 root_mean_squared_error 0.30050138638817564 root_mean_squared_error 0.30061395374971106 root_mean_squared_error 0.30081675880682024 root_mean_squared_error 0.30082774786959565 root_mean_squared_error 0.30044041714324893 root_mean_squared_error 0.30044041714324893 root_mean_squared_error 0.30044041714324893 root_relative_squared_error 1.0005291017090685 root_relative_squared_error 1.0005291017090685 root_relative_squared_error 1.0007733740803453 root_relative_squared_error 1.0026028406300374 root_relative_squared_error 1.0027158127671243 root_relative_squared_error 1.0030422306554228 root_relative_squared_error 1.0029476932345611 root_relative_squared_error 1.0025307230408682 root_relative_squared_error 1.0025307230408682 root_relative_squared_error 1.0025307230408682 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 994.8346189921722 usercpu_time_millis 974.661043001106 usercpu_time_millis 966.623291009455 usercpu_time_millis 971.9345999910729 usercpu_time_millis 966.5015159989707 usercpu_time_millis 968.3764829969732 usercpu_time_millis 966.5970109927002 usercpu_time_millis 965.7281729887472 usercpu_time_millis 963.2742499961751 usercpu_time_millis 970.6484769994859 usercpu_time_millis_testing 3.7249769957270473 usercpu_time_millis_testing 2.52177900983952 usercpu_time_millis_testing 2.885312002035789 usercpu_time_millis_testing 2.666123997187242 usercpu_time_millis_testing 2.8639480005949736 usercpu_time_millis_testing 2.560089997132309 usercpu_time_millis_testing 2.737836999585852 usercpu_time_millis_testing 2.5143989914795384 usercpu_time_millis_testing 2.7061090077040717 usercpu_time_millis_testing 2.507388999219984 usercpu_time_millis_training 991.1096419964451 usercpu_time_millis_training 972.1392639912665 usercpu_time_millis_training 963.7379790074192 usercpu_time_millis_training 969.2684759938857 usercpu_time_millis_training 963.6375679983757 usercpu_time_millis_training 965.8163929998409 usercpu_time_millis_training 963.8591739931144 usercpu_time_millis_training 963.2137739972677 usercpu_time_millis_training 960.568140988471 usercpu_time_millis_training 968.1410880002659