10154827 869 Pieter Gijsbers 31 Supervised Classification 9148 sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.GaussianNB)(2) 8080396 memory null 9148 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}] 9148 n_jobs null 9149 remainder "passthrough" 9149 sparse_threshold 0.3 9149 transformer_weights null 9149 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer", "argument_1": [1, 4, 7, 10, 12, 15, 17]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat_encoder", "step_name": "cat_encoder", "argument_1": [0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]}}] 9149 copy true 9150 fill_value null 9150 missing_values NaN 9150 strategy "mean" 9150 verbose 0 9150 cols [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] 9151 drop_invariant false 9151 handle_unknown "impute" 9151 impute_missing true 9151 min_samples_leaf 1 9151 return_df true 9151 smoothing 1.0 9151 verbose 0 9151 priors null 9152 var_smoothing 1e-09 9152 openml-python Sklearn_0.20.0. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21230254 description https://api.openml.org/data/download/21230254/description.xml -1 21230255 predictions https://api.openml.org/data/download/21230255/predictions.arff area_under_roc_curve 0.7620333333333333 [0.762033,0.762033] average_cost 0 f_measure 0.7212553295589571 [0.827357,0.473684] kappa 0.31144067796610175 kb_relative_information_score 241.45010270161387 mean_absolute_error 0.31122707393984833 mean_prior_absolute_error 0.42015968063872167 number_of_instances 1000 [700,300] precision 0.7219948325701568 [0.772953,0.603093] predictive_accuracy 0.74 prior_entropy 0.8817783329695427 recall 0.74 [0.89,0.39] relative_absolute_error 0.7407352211109945 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4283440864226039 root_relative_squared_error 0.9347230736772086 total_cost 0 area_under_roc_curve 0.789047619047619 [0.789048,0.789048] area_under_roc_curve 0.7519047619047619 [0.751905,0.751905] area_under_roc_curve 0.6938095238095238 [0.69381,0.69381] area_under_roc_curve 0.7542857142857143 [0.754286,0.754286] area_under_roc_curve 0.7833333333333334 [0.783333,0.783333] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.7795238095238095 [0.779524,0.779524] area_under_roc_curve 0.7976190476190476 [0.797619,0.797619] area_under_roc_curve 0.7404761904761905 [0.740476,0.740476] area_under_roc_curve 0.7404761904761905 [0.740476,0.740476] 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 f_measure 0.7226666666666667 [0.826667,0.48] f_measure 0.6759493670886078 [0.822785,0.333333] f_measure 0.6969402622632346 [0.788732,0.482759] f_measure 0.7566521910777735 [0.845638,0.54902] f_measure 0.735491512041058 [0.832215,0.509804] f_measure 0.7722983257229831 [0.849315,0.592593] f_measure 0.7778128701144886 [0.85906,0.588235] f_measure 0.7651612903225806 [0.864516,0.533333] f_measure 0.6458498023715415 [0.792208,0.304348] f_measure 0.6458498023715415 [0.792208,0.304348] kappa 0.3157894736842105 kappa 0.19540229885057459 kappa 0.2718446601941747 kappa 0.40104166666666674 kappa 0.34895833333333337 kappa 0.44444444444444453 kappa 0.4531250000000001 kappa 0.41666666666666674 kappa 0.12087912087912099 kappa 0.12087912087912099 kb_relative_information_score 22.67191295630479 kb_relative_information_score 20.838540140155423 kb_relative_information_score 15.047247620283503 kb_relative_information_score 25.342811181500114 kb_relative_information_score 26.919381366175884 kb_relative_information_score 30.82466190791356 kb_relative_information_score 29.39242677086619 kb_relative_information_score 29.854528869918358 kb_relative_information_score 22.46010537085947 kb_relative_information_score 18.09848651763641 mean_absolute_error 0.3148048860052854 mean_absolute_error 0.31986883824958456 mean_absolute_error 0.34452988806135776 mean_absolute_error 0.31107287009230644 mean_absolute_error 0.3033631657954756 mean_absolute_error 0.2858437447958533 mean_absolute_error 0.29309204523490673 mean_absolute_error 0.2939927935991018 mean_absolute_error 0.3146491403907393 mean_absolute_error 0.33105336717386824 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7225 [0.775,0.6] precision 0.6920454545454545 [0.738636,0.583333] precision 0.6944444444444444 [0.777778,0.5] precision 0.7582278481012659 [0.797468,0.666667] precision 0.7350813743218807 [0.78481,0.619048] precision 0.7710526315789474 [0.815789,0.666667] precision 0.781374321880651 [0.810127,0.714286] precision 0.7917647058823529 [0.788235,0.8] precision 0.6395833333333333 [0.72619,0.4375] precision 0.6395833333333333 [0.72619,0.4375] predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.77 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.79 predictive_accuracy 0.68 predictive_accuracy 0.68 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 prior_entropy 0.8817783329695427 recall 0.74 [0.885714,0.4] recall 0.72 [0.928571,0.233333] recall 0.7 [0.8,0.466667] recall 0.77 [0.9,0.466667] recall 0.75 [0.885714,0.433333] recall 0.78 [0.885714,0.533333] recall 0.79 [0.914286,0.5] recall 0.79 [0.957143,0.4] recall 0.68 [0.871429,0.233333] recall 0.68 [0.871429,0.233333] relative_absolute_error 0.749250583794051 relative_absolute_error 0.7613030307032856 relative_absolute_error 0.819997500801615 relative_absolute_error 0.7403682086282437 relative_absolute_error 0.7220187461450501 relative_absolute_error 0.6803216918894169 relative_absolute_error 0.6975729912716772 relative_absolute_error 0.6997168151693576 relative_absolute_error 0.7488799018325898 relative_absolute_error 0.787922740874621 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.4334436474734088 root_mean_squared_error 0.44047895088656186 root_mean_squared_error 0.47031984333660065 root_mean_squared_error 0.4090999097234111 root_mean_squared_error 0.4190950926450299 root_mean_squared_error 0.4145202370650041 root_mean_squared_error 0.41016999163078455 root_mean_squared_error 0.3957579743820835 root_mean_squared_error 0.4361307449136812 root_mean_squared_error 0.44920643835007745 root_relative_squared_error 0.9458512239911822 root_relative_squared_error 0.961203508845901 root_relative_squared_error 1.0263216500699917 root_relative_squared_error 0.8927288532249378 root_relative_squared_error 0.9145401222458063 root_relative_squared_error 0.9045569727056673 root_relative_squared_error 0.8950639625009876 root_relative_squared_error 0.8636143744534382 root_relative_squared_error 0.9517149491090386 root_relative_squared_error 0.9802484406331188 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 78.125 usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 156.25 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 109.375 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 46.875 usercpu_time_millis_training 78.125 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125