9865507 6892 Scikit-learn Bot 3549 Supervised Classification 8834 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)(1) 7794909 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "most_frequent" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "mae" 8843 init null 8843 learning_rate 0.04535434738651066 8843 loss "deviance" 8843 max_depth 3 8843 max_features 0.8846444755408847 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.38424006136416367 8843 min_impurity_split null 8843 min_samples_leaf 2 8843 min_samples_split 14 8843 min_weight_fraction_leaf 0.1651051505372943 8843 n_estimators 427 8843 n_iter_no_change 396 8843 presort "auto" 8843 random_state 58739 8843 subsample 0.893249724185028 8843 tol 0.02480060419822821 8843 validation_fraction 0.5650981987532973 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 458 analcatdata_authorship https://www.openml.org/data/download/52570/analcatdata_authorship.arff -1 20651460 description https://api.openml.org/data/download/20651460/description.xml -1 20651461 predictions https://api.openml.org/data/download/20651461/predictions.arff area_under_roc_curve 0.49947005282103346 [0.500099,0.500217,0.495709,0.498235] average_cost 0 kappa 0 kb_relative_information_score 9.71129621120153 mean_absolute_error 0.34173509341563196 mean_prior_absolute_error 0.3438742269346884 number_of_instances 841 [317,296,55,173] predictive_accuracy 0.3769322235434007 prior_entropy 1.789750013333858 recall 0.3769322235434007 [1,0,0,0] relative_absolute_error 0.9937793142041358 root_mean_prior_squared_error 0.41456416029192655 root_mean_squared_error 0.41465947630973976 root_relative_squared_error 1.0002299186156036 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 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 1.3302557015827616 kb_relative_information_score 0.9510568677345088 kb_relative_information_score 0.9510568677345088 kb_relative_information_score 0.9510568677345088 kb_relative_information_score 0.9510568677345088 kb_relative_information_score 0.9510568677345088 kb_relative_information_score 0.9204710161648463 kb_relative_information_score 0.9017617182604845 kb_relative_information_score 0.9017617182604845 kb_relative_information_score 0.9017617182604845 mean_absolute_error 0.3411806981010877 mean_absolute_error 0.34062823979079804 mean_absolute_error 0.34062823979079804 mean_absolute_error 0.34062823979079804 mean_absolute_error 0.34062823979079804 mean_absolute_error 0.34062823979079804 mean_absolute_error 0.3424482014577072 mean_absolute_error 0.34352914519591493 mean_absolute_error 0.34352914519591493 mean_absolute_error 0.34352914519591493 mean_prior_absolute_error 0.3442046641141667 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.34444209636517364 mean_prior_absolute_error 0.34545646661031304 mean_prior_absolute_error 0.34545646661031304 mean_prior_absolute_error 0.34545646661031304 number_of_instances 85 [32,30,6,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,29,6,17] number_of_instances 84 [31,29,6,18] number_of_instances 84 [31,29,6,18] number_of_instances 84 [31,29,6,18] predictive_accuracy 0.3764705882352941 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.36904761904761907 predictive_accuracy 0.36904761904761907 predictive_accuracy 0.36904761904761907 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 recall 0.3764705882352941 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] relative_absolute_error 0.991214628015395 relative_absolute_error 0.9938257341479292 relative_absolute_error 0.9938257341479292 relative_absolute_error 0.9938257341479292 relative_absolute_error 0.9938257341479292 relative_absolute_error 0.9938257341479292 relative_absolute_error 0.994211233387244 relative_absolute_error 0.9944209427216419 relative_absolute_error 0.9944209427216419 relative_absolute_error 0.9944209427216419 root_mean_prior_squared_error 0.4149625045447236 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.4152484947944263 root_mean_prior_squared_error 0.416468105230372 root_mean_prior_squared_error 0.416468105230372 root_mean_prior_squared_error 0.416468105230372 root_mean_squared_error 0.41527922057284167 root_mean_squared_error 0.41317727978860147 root_mean_squared_error 0.41317727978860147 root_mean_squared_error 0.41317727978860147 root_mean_squared_error 0.41317727978860147 root_mean_squared_error 0.41317727978860147 root_mean_squared_error 0.41537383909006287 root_mean_squared_error 0.416672977211896 root_mean_squared_error 0.416672977211896 root_mean_squared_error 0.416672977211896 root_relative_squared_error 1.0007632401112132 root_relative_squared_error 0.9999467384821358 root_relative_squared_error 0.9999467384821358 root_relative_squared_error 0.9999467384821358 root_relative_squared_error 0.9999467384821358 root_relative_squared_error 0.9999467384821358 root_relative_squared_error 1.000301853702561 root_relative_squared_error 1.0004919271823005 root_relative_squared_error 1.0004919271823005 root_relative_squared_error 1.0004919271823005 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 13379.502477000075 usercpu_time_millis 13423.466700000063 usercpu_time_millis 13492.991741000082 usercpu_time_millis 13443.826597999987 usercpu_time_millis 13432.907633000013 usercpu_time_millis 13386.356753000086 usercpu_time_millis 13437.492842000098 usercpu_time_millis 13490.160108999931 usercpu_time_millis 13525.969669999882 usercpu_time_millis 13474.415560999887 usercpu_time_millis_testing 4.391368000028706 usercpu_time_millis_testing 3.1740270000000237 usercpu_time_millis_testing 3.487371999995048 usercpu_time_millis_testing 4.070278999961374 usercpu_time_millis_testing 3.7094140000135667 usercpu_time_millis_testing 3.54235100007827 usercpu_time_millis_testing 3.5762730000215015 usercpu_time_millis_testing 4.178346999992755 usercpu_time_millis_testing 3.8191049999340976 usercpu_time_millis_testing 3.431510999917009 usercpu_time_millis_training 13375.111109000045 usercpu_time_millis_training 13420.292673000062 usercpu_time_millis_training 13489.504369000088 usercpu_time_millis_training 13439.756319000026 usercpu_time_millis_training 13429.198219 usercpu_time_millis_training 13382.814402000007 usercpu_time_millis_training 13433.916569000075 usercpu_time_millis_training 13485.981761999938 usercpu_time_millis_training 13522.150564999947 usercpu_time_millis_training 13470.98404999997