10496235 8323 Heinrich Peters 3918 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275615 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.01 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21917417 description https://api.openml.org/data/download/21917417/description.xml -1 21917418 predictions https://api.openml.org/data/download/21917418/predictions.arff area_under_roc_curve 0.7881933957515352 [0.788193,0.788193] average_cost 0 f_measure 0.8994809977562374 [0.962998,0.048193] kappa 0.03854131229217642 kb_relative_information_score -0.1256282093250953 mean_absolute_error 0.11883036056602118 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9287646528403968 [0.996124,0.025974] number_of_instances 1109 [1032,77] precision 0.8904367981849104 [0.932004,0.333333] predictive_accuracy 0.9287646528403968 prior_entropy 0.36380676688852276 relative_absolute_error 0.9148557422535625 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2438783372301342 root_relative_squared_error 0.9594393824411188 total_cost 0 unweighted_recall 0.511049028490889 [0.996124,0.025974] area_under_roc_curve 0.7980769230769231 [0.798077,0.798077] area_under_roc_curve 0.7802197802197802 [0.78022,0.78022] area_under_roc_curve 0.7985436893203883 [0.798544,0.798544] area_under_roc_curve 0.6917475728155339 [0.691748,0.691748] area_under_roc_curve 0.7026699029126213 [0.70267,0.70267] area_under_roc_curve 0.7888349514563107 [0.788835,0.788835] area_under_roc_curve 0.9138349514563107 [0.913835,0.913835] area_under_roc_curve 0.7924757281553398 [0.792476,0.792476] area_under_roc_curve 0.7936893203883495 [0.793689,0.793689] area_under_roc_curve 0.8252427184466019 [0.825243,0.825243] 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 0.926433442788583 [0.971963,0.25] f_measure 0.9019112570514438 [0.962617,0] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9134486599275331 [0.967136,0.222222] f_measure 0.8887197056211139 [0.957746,0] kappa 0.23798627002288333 kappa -0.01601830663615609 kappa -0.016276703967446498 kappa -0.016276703967446498 kappa 0 kappa 0 kappa 0.20956256358087416 kappa -0.016276703967446498 kappa 0 kappa 0 kb_relative_information_score 0.037360503900509816 kb_relative_information_score -0.3286157165297749 kb_relative_information_score -0.1457649881539418 kb_relative_information_score -0.14020711759027446 kb_relative_information_score -0.19317910214553077 kb_relative_information_score -0.06851057379123515 kb_relative_information_score 0.019158417519062807 kb_relative_information_score -0.19666355219736303 kb_relative_information_score -0.1216094865456978 kb_relative_information_score -0.12145990424525913 mean_absolute_error 0.10255657108734638 mean_absolute_error 0.12182474229063082 mean_absolute_error 0.12487901641223846 mean_absolute_error 0.12384702991059664 mean_absolute_error 0.12272363646239402 mean_absolute_error 0.11800146434775059 mean_absolute_error 0.11059220003588087 mean_absolute_error 0.12713335396621397 mean_absolute_error 0.12113710241397545 mean_absolute_error 0.11557919898924911 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9488943488943489 [0.945455,1] precision 0.8773136773136774 [0.936364,0] precision 0.8604422604422604 [0.927273,0] precision 0.8604422604422604 [0.927273,0] precision 0.940950040950041 [0.936364,1] precision 0.8604422604422604 [0.927273,0] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9363636363636364 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 relative_absolute_error 0.8243093855870854 relative_absolute_error 0.979179368052069 relative_absolute_error 0.944913804330204 relative_absolute_error 0.937105140238354 relative_absolute_error 0.9286048332420479 relative_absolute_error 0.8928738854355721 relative_absolute_error 0.8368106946020903 relative_absolute_error 0.9619715513846778 relative_absolute_error 0.9166001108598522 relative_absolute_error 0.9253150283967336 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.21816632757535953 root_mean_squared_error 0.24182512023641983 root_mean_squared_error 0.25450290510860074 root_mean_squared_error 0.2513494418176144 root_mean_squared_error 0.2550167769151738 root_mean_squared_error 0.24600031631217087 root_mean_squared_error 0.22536775139097218 root_mean_squared_error 0.2642259267715157 root_mean_squared_error 0.2454334694293024 root_mean_squared_error 0.23302864365463022 root_relative_squared_error 0.8971344387419368 root_relative_squared_error 0.9944231354495465 root_relative_squared_error 0.9841036059573395 root_relative_squared_error 0.9719098960482542 root_relative_squared_error 0.986090628846656 root_relative_squared_error 0.9512260704692136 root_relative_squared_error 0.8714447354371587 root_relative_squared_error 1.0217002717996917 root_relative_squared_error 0.9490342052674451 root_relative_squared_error 0.9542827717965504 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 0.5714285714285714 [1,0.142857] unweighted_recall 0.4951923076923077 [0.990385,0] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 11.302487997454591 usercpu_time_millis 11.578516001463868 usercpu_time_millis 10.79350100189913 usercpu_time_millis 10.503532997972798 usercpu_time_millis 10.844785996596329 usercpu_time_millis 10.330605000490323 usercpu_time_millis 9.907365994877182 usercpu_time_millis 13.385047001065686 usercpu_time_millis 14.479616991593502 usercpu_time_millis 10.361087006458547 usercpu_time_millis_testing 0.5641059979097918 usercpu_time_millis_testing 0.5453830017358996 usercpu_time_millis_testing 0.5099620029795915 usercpu_time_millis_testing 0.5350580031517893 usercpu_time_millis_testing 0.4766709971590899 usercpu_time_millis_testing 0.4733680034405552 usercpu_time_millis_testing 0.5278469980112277 usercpu_time_millis_testing 0.8004039991647005 usercpu_time_millis_testing 0.4767479986185208 usercpu_time_millis_testing 0.4767300051753409 usercpu_time_millis_training 10.7383819995448 usercpu_time_millis_training 11.033132999727968 usercpu_time_millis_training 10.28353899891954 usercpu_time_millis_training 9.968474994821008 usercpu_time_millis_training 10.368114999437239 usercpu_time_millis_training 9.857236997049768 usercpu_time_millis_training 9.379518996865954 usercpu_time_millis_training 12.584643001900986 usercpu_time_millis_training 14.002868992974982 usercpu_time_millis_training 9.884357001283206 wall_clock_time_millis 11.30986213684082 wall_clock_time_millis 11.581897735595703 wall_clock_time_millis 10.795354843139648 wall_clock_time_millis 10.507345199584961 wall_clock_time_millis 10.854721069335938 wall_clock_time_millis 10.333538055419922 wall_clock_time_millis 9.911775588989258 wall_clock_time_millis 13.396263122558594 wall_clock_time_millis 14.4805908203125 wall_clock_time_millis 10.369062423706055 wall_clock_time_millis_testing 0.5686283111572266 wall_clock_time_millis_testing 0.5486011505126953 wall_clock_time_millis_testing 0.5137920379638672 wall_clock_time_millis_testing 0.5376338958740234 wall_clock_time_millis_testing 0.4799365997314453 wall_clock_time_millis_testing 0.4761219024658203 wall_clock_time_millis_testing 0.5311965942382812 wall_clock_time_millis_testing 0.8072853088378906 wall_clock_time_millis_testing 0.47969818115234375 wall_clock_time_millis_testing 0.4811286926269531 wall_clock_time_millis_training 10.741233825683594 wall_clock_time_millis_training 11.033296585083008 wall_clock_time_millis_training 10.281562805175781 wall_clock_time_millis_training 9.969711303710938 wall_clock_time_millis_training 10.374784469604492 wall_clock_time_millis_training 9.857416152954102 wall_clock_time_millis_training 9.380578994750977 wall_clock_time_millis_training 12.588977813720703 wall_clock_time_millis_training 14.000892639160156 wall_clock_time_millis_training 9.887933731079102 weighted_recall 0.9459459459459459 [1,0.142857] weighted_recall 0.9279279279279279 [0.990385,0] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9369369369369369 [1,0.125] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9363636363636364 [1,0]