10559147 8323 Heinrich Peters 167141 Supervised Classification 18607 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275977 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 0.1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "auto" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 n_jobs null 18299 remainder "drop" 18299 sparse_threshold 0.3 18299 transformer_weights null 18299 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, true, false, true, false, false, true, true, true, true, true, true, true, true, true, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, false, true, false, true, true, false, false, false, false, false, false, false, false, false, false, false, false, false, true]}}] 18299 verbose false 18299 memory null 18300 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18300 verbose false 18300 memory null 18301 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18301 verbose false 18301 memory null 18607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18607 verbose false 18607 openml-python Sklearn_0.21.2. 40701 churn https://www.openml.org/data/download/4965302/churn.arff -1 22043258 description https://api.openml.org/data/download/22043258/description.xml -1 22043259 predictions https://api.openml.org/data/download/22043259/predictions.arff area_under_roc_curve 0.850171869537957 [0.850172,0.850172] average_cost 0 f_measure 0.8231649072798652 [0.920684,0.231016] kappa 0.17405840360537833 kb_relative_information_score 0.11792685597302528 mean_absolute_error 0.19186199529573722 mean_prior_absolute_error 0.2429149140343658 weighted_recall 0.8562 [0.972048,0.152758] number_of_instances 5000 [4293,707] precision 0.8178041359685888 [0.874476,0.473684] predictive_accuracy 0.8562000000000001 prior_entropy 0.5878936972269143 relative_absolute_error 0.7898320943299265 root_mean_prior_squared_error 0.3484337247721322 root_mean_squared_error 0.3076680482571892 root_relative_squared_error 0.8830030688286479 total_cost 0 unweighted_recall 0.5624028260867416 [0.972048,0.152758] area_under_roc_curve 0.8221594684385382 [0.822159,0.822159] area_under_roc_curve 0.8232225913621263 [0.823223,0.823223] area_under_roc_curve 0.8905980066445183 [0.890598,0.890598] area_under_roc_curve 0.8440526609540693 [0.844053,0.844053] area_under_roc_curve 0.8447749433664926 [0.844775,0.844775] area_under_roc_curve 0.8686430939952068 [0.868643,0.868643] area_under_roc_curve 0.8464164943038183 [0.846416,0.846416] area_under_roc_curve 0.8539676286155159 [0.853968,0.853968] area_under_roc_curve 0.838504218785909 [0.838504,0.838504] area_under_roc_curve 0.8690370662201649 [0.869037,0.869037] 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 0.8223522685231897 [0.916759,0.242424] f_measure 0.8203240058910162 [0.916944,0.226804] f_measure 0.8299584859584859 [0.925275,0.244444] f_measure 0.8272009574583832 [0.924092,0.241758] f_measure 0.8095899752225817 [0.915105,0.172043] f_measure 0.8272009574583832 [0.924092,0.241758] f_measure 0.8322096253581402 [0.926293,0.263736] f_measure 0.8162303613269207 [0.914539,0.222222] f_measure 0.8171836216588693 [0.919692,0.197802] f_measure 0.8293728349397163 [0.923925,0.258065] kappa 0.17473591549295778 kappa 0.16144901610017895 kappa 0.1943127962085305 kappa 0.19127988748241911 kappa 0.11241239395057155 kappa 0.19127988748241911 kappa 0.21472105016408816 kappa 0.1542922414550567 kappa 0.14439756211908106 kappa 0.20462928808557718 kb_relative_information_score 0.04743824526011555 kb_relative_information_score 0.11472109497244215 kb_relative_information_score 0.1530605162591044 kb_relative_information_score 0.12569064181561085 kb_relative_information_score 0.09466268615235117 kb_relative_information_score 0.17382394890775868 kb_relative_information_score 0.1588478789483293 kb_relative_information_score 0.06838159065124359 kb_relative_information_score 0.09138493131674041 kb_relative_information_score 0.1509167879856891 mean_absolute_error 0.20088863637522586 mean_absolute_error 0.19167324412741998 mean_absolute_error 0.18559939190448152 mean_absolute_error 0.19026854810762223 mean_absolute_error 0.19727683119583428 mean_absolute_error 0.1859174614574157 mean_absolute_error 0.1850005589093757 mean_absolute_error 0.19931711434946195 mean_absolute_error 0.196361859404913 mean_absolute_error 0.18631630712562333 mean_prior_absolute_error 0.2419112355057981 mean_prior_absolute_error 0.2419112355057981 mean_prior_absolute_error 0.2419112355057981 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 mean_prior_absolute_error 0.2433450619752103 number_of_instances 500 [430,70] number_of_instances 500 [430,70] number_of_instances 500 [430,70] number_of_instances 500 [429,71] number_of_instances 500 [429,71] number_of_instances 500 [429,71] number_of_instances 500 [429,71] number_of_instances 500 [429,71] number_of_instances 500 [429,71] number_of_instances 500 [429,71] precision 0.8120286990262829 [0.876858,0.413793] precision 0.8097643097643098 [0.875264,0.407407] precision 0.8312916666666667 [0.877083,0.55] precision 0.82885 [0.875,0.55] precision 0.7965526816279954 [0.868201,0.363636] precision 0.82885 [0.875,0.55] precision 0.8377375 [0.877083,0.6] precision 0.8047179176755449 [0.872881,0.392857] precision 0.811075 [0.870833,0.45] precision 0.8295507797641689 [0.876569,0.545455] predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.8640000000000001 predictive_accuracy 0.862 predictive_accuracy 0.846 predictive_accuracy 0.862 predictive_accuracy 0.866 predictive_accuracy 0.846 predictive_accuracy 0.8540000000000001 predictive_accuracy 0.862 prior_entropy 0.584252995930804 prior_entropy 0.584252995930804 prior_entropy 0.584252995930804 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 prior_entropy 0.5894539977823555 relative_absolute_error 0.8304229274642805 relative_absolute_error 0.7923288214648714 relative_absolute_error 0.7672210491440076 relative_absolute_error 0.781887853253439 relative_absolute_error 0.8106876284834208 relative_absolute_error 0.7640075370683101 relative_absolute_error 0.7602396260180607 relative_absolute_error 0.8190719496488755 relative_absolute_error 0.8069276516690381 relative_absolute_error 0.7656465498552154 root_mean_prior_squared_error 0.34699046388913174 root_mean_prior_squared_error 0.34699046388913174 root_mean_prior_squared_error 0.34699046388913174 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_prior_squared_error 0.3490504383314925 root_mean_squared_error 0.31973171400504274 root_mean_squared_error 0.305987255890985 root_mean_squared_error 0.29836766815385385 root_mean_squared_error 0.3088498870137706 root_mean_squared_error 0.3140370636469028 root_mean_squared_error 0.29859758534215824 root_mean_squared_error 0.302732626428186 root_mean_squared_error 0.31886643250252705 root_mean_squared_error 0.30947133450666015 root_mean_squared_error 0.2990870179214224 root_relative_squared_error 0.9214423659412192 root_relative_squared_error 0.8818318880047152 root_relative_squared_error 0.8598728184333805 root_relative_squared_error 0.8848288186948399 root_relative_squared_error 0.899689641268012 root_relative_squared_error 0.8554568410499479 root_relative_squared_error 0.8673033842194503 root_relative_squared_error 0.9135253748047159 root_relative_squared_error 0.8866092132299683 root_relative_squared_error 0.8568590240169819 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 unweighted_recall 0.5659468438538205 [0.960465,0.171429] unweighted_recall 0.5599667774086379 [0.962791,0.157143] unweighted_recall 0.5681063122923589 [0.97907,0.157143] unweighted_recall 0.5669752782428839 [0.979021,0.15493] unweighted_recall 0.5400210118519978 [0.967366,0.112676] unweighted_recall 0.5669752782428839 [0.979021,0.15493] unweighted_recall 0.5751830329295118 [0.981352,0.169014] unweighted_recall 0.5576512689188745 [0.960373,0.15493] unweighted_recall 0.550559768869628 [0.974359,0.126761] unweighted_recall 0.5728520305985094 [0.97669,0.169014] usercpu_time_millis 111.0499999995227 usercpu_time_millis 152.41200000309618 usercpu_time_millis 155.85200000350596 usercpu_time_millis 143.50199999898905 usercpu_time_millis 153.442000009818 usercpu_time_millis 154.42199999233708 usercpu_time_millis 140.92799999343697 usercpu_time_millis 149.68799999769544 usercpu_time_millis 169.6280000032857 usercpu_time_millis 149.9199999962002 usercpu_time_millis_testing 7.967999998072628 usercpu_time_millis_testing 6.002000001899432 usercpu_time_millis_testing 7.698000001255423 usercpu_time_millis_testing 7.087999998475425 usercpu_time_millis_testing 6.31200000498211 usercpu_time_millis_testing 7.721999994828366 usercpu_time_millis_testing 6.865999996080063 usercpu_time_millis_testing 5.654000000504311 usercpu_time_millis_testing 7.696000000578351 usercpu_time_millis_testing 5.890000000363216 usercpu_time_millis_training 103.08200000145007 usercpu_time_millis_training 146.41000000119675 usercpu_time_millis_training 148.15400000225054 usercpu_time_millis_training 136.41400000051362 usercpu_time_millis_training 147.1300000048359 usercpu_time_millis_training 146.6999999975087 usercpu_time_millis_training 134.0619999973569 usercpu_time_millis_training 144.03399999719113 usercpu_time_millis_training 161.93200000270735 usercpu_time_millis_training 144.029999995837 wall_clock_time_millis 34.76691246032715 wall_clock_time_millis 38.33770751953125 wall_clock_time_millis 40.430307388305664 wall_clock_time_millis 37.08696365356445 wall_clock_time_millis 47.026872634887695 wall_clock_time_millis 39.198875427246094 wall_clock_time_millis 35.745859146118164 wall_clock_time_millis 37.99581527709961 wall_clock_time_millis 43.70999336242676 wall_clock_time_millis 38.28907012939453 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 1.5017986297607422 wall_clock_time_millis_testing 1.940011978149414 wall_clock_time_millis_testing 1.783132553100586 wall_clock_time_millis_testing 1.7268657684326172 wall_clock_time_millis_testing 1.9466876983642578 wall_clock_time_millis_testing 1.7497539520263672 wall_clock_time_millis_testing 1.435995101928711 wall_clock_time_millis_testing 1.936197280883789 wall_clock_time_millis_testing 1.5380382537841797 wall_clock_time_millis_training 32.76705741882324 wall_clock_time_millis_training 36.83590888977051 wall_clock_time_millis_training 38.49029541015625 wall_clock_time_millis_training 35.30383110046387 wall_clock_time_millis_training 45.30000686645508 wall_clock_time_millis_training 37.252187728881836 wall_clock_time_millis_training 33.9961051940918 wall_clock_time_millis_training 36.5598201751709 wall_clock_time_millis_training 41.77379608154297 wall_clock_time_millis_training 36.75103187561035 weighted_recall 0.85 [0.960465,0.171429] weighted_recall 0.85 [0.962791,0.157143] weighted_recall 0.864 [0.97907,0.157143] weighted_recall 0.862 [0.979021,0.15493] weighted_recall 0.846 [0.967366,0.112676] weighted_recall 0.862 [0.979021,0.15493] weighted_recall 0.866 [0.981352,0.169014] weighted_recall 0.846 [0.960373,0.15493] weighted_recall 0.854 [0.974359,0.126761] weighted_recall 0.862 [0.97669,0.169014]