9865510 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) 7794912 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 "median" 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 "mse" 8843 init null 8843 learning_rate 0.01635729950808096 8843 loss "deviance" 8843 max_depth 2 8843 max_features 0.12356557868579743 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.9268496984697359 8843 min_impurity_split null 8843 min_samples_leaf 8 8843 min_samples_split 8 8843 min_weight_fraction_leaf 0.01566649075059412 8843 n_estimators 348 8843 n_iter_no_change 796 8843 presort "auto" 8843 random_state 50670 8843 subsample 0.08927496997877282 8843 tol 0.01360937171810982 8843 validation_fraction 0.37747020965302214 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 20651466 description https://api.openml.org/data/download/20651466/description.xml -1 20651467 predictions https://api.openml.org/data/download/20651467/predictions.arff area_under_roc_curve 0.49605844402480653 [0.496307,0.49501,0.476278,0.503686] average_cost 0 kappa 0.00023278466966045424 kb_relative_information_score 3.7500877631903045 mean_absolute_error 0.34405879031296976 mean_prior_absolute_error 0.3438742269346884 number_of_instances 841 [317,296,55,173] predictive_accuracy 0.3745541022592152 prior_entropy 1.789750013333858 recall 0.3745541022592152 [0.899054,0.101351,0,0] relative_absolute_error 1.0005367176828766 root_mean_prior_squared_error 0.41456416029192655 root_mean_squared_error 0.4146422128392269 root_relative_squared_error 1.000188276157894 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 0.9108808713817073 kb_relative_information_score 0.2792297691419864 kb_relative_information_score 0.2792297691419864 kb_relative_information_score 0.2792297691419864 kb_relative_information_score 0.2792297691419864 kb_relative_information_score 0.2792297691419864 kb_relative_information_score 0.34296993493101524 kb_relative_information_score 0.36669603705588805 kb_relative_information_score 0.36669603705588805 kb_relative_information_score 0.36669603705588805 mean_absolute_error 0.34363508240589224 mean_absolute_error 0.34312316107572266 mean_absolute_error 0.34312316107572266 mean_absolute_error 0.34312316107572266 mean_absolute_error 0.34312316107572266 mean_absolute_error 0.34312316107572266 mean_absolute_error 0.34463360854254416 mean_absolute_error 0.34556948364813006 mean_absolute_error 0.34556948364813006 mean_absolute_error 0.34556948364813006 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 0.35294117647058826 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 0.35294117647058826 [0,1,0,0] 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 0.9983452237355925 relative_absolute_error 1.0011049808103736 relative_absolute_error 1.0011049808103736 relative_absolute_error 1.0011049808103736 relative_absolute_error 1.0011049808103736 relative_absolute_error 1.0011049808103736 relative_absolute_error 1.0005560068858932 relative_absolute_error 1.0003271527637794 relative_absolute_error 1.0003271527637794 relative_absolute_error 1.0003271527637794 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 0.415159156730497 root_mean_squared_error 0.4132634805091186 root_mean_squared_error 0.4132634805091186 root_mean_squared_error 0.4132634805091186 root_mean_squared_error 0.4132634805091186 root_mean_squared_error 0.4132634805091186 root_mean_squared_error 0.4153848419417916 root_mean_squared_error 0.4165098342423539 root_mean_squared_error 0.4165098342423539 root_mean_squared_error 0.4165098342423539 root_relative_squared_error 1.0004739035060268 root_relative_squared_error 1.0001553562681378 root_relative_squared_error 1.0001553562681378 root_relative_squared_error 1.0001553562681378 root_relative_squared_error 1.0001553562681378 root_relative_squared_error 1.0001553562681378 root_relative_squared_error 1.0003283507323315 root_relative_squared_error 1.0001001973775612 root_relative_squared_error 1.0001001973775612 root_relative_squared_error 1.0001001973775612 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 938.0651540001281 usercpu_time_millis 926.883701999941 usercpu_time_millis 924.2987620000349 usercpu_time_millis 924.2178129999274 usercpu_time_millis 925.5545390000179 usercpu_time_millis 926.5983129999995 usercpu_time_millis 927.2291059999134 usercpu_time_millis 928.6861430000499 usercpu_time_millis 926.6487669999606 usercpu_time_millis 927.8135000000702 usercpu_time_millis_testing 3.500839000025735 usercpu_time_millis_testing 2.9230229999939183 usercpu_time_millis_testing 3.320755000004283 usercpu_time_millis_testing 3.016788999957498 usercpu_time_millis_testing 3.413466999973025 usercpu_time_millis_testing 2.9979739999816957 usercpu_time_millis_testing 3.324973999951908 usercpu_time_millis_testing 3.0383770000526056 usercpu_time_millis_testing 3.3454699999992954 usercpu_time_millis_testing 3.31961900008082 usercpu_time_millis_training 934.5643150001024 usercpu_time_millis_training 923.960678999947 usercpu_time_millis_training 920.9780070000306 usercpu_time_millis_training 921.20102399997 usercpu_time_millis_training 922.1410720000449 usercpu_time_millis_training 923.6003390000178 usercpu_time_millis_training 923.9041319999615 usercpu_time_millis_training 925.6477659999973 usercpu_time_millis_training 923.3032969999613 usercpu_time_millis_training 924.4938809999894