10498529 8323 Heinrich Peters 37 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275617 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "warn" 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. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21922007 description https://api.openml.org/data/download/21922007/description.xml -1 21922008 predictions https://api.openml.org/data/download/21922008/predictions.arff area_under_roc_curve 0.8303059701492538 [0.830306,0.830306] average_cost 0 f_measure 0.7692333559042677 [0.836812,0.643154] kappa 0.48293355044779857 kb_relative_information_score 0.32944284335881185 mean_absolute_error 0.31164553360618463 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7760416666666666 [0.882,0.578358] number_of_instances 768 [500,268] precision 0.7709981640181293 [0.796029,0.724299] predictive_accuracy 0.7760416666666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.685701805100883 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.39623738348086446 root_relative_squared_error 0.8313121364851505 total_cost 0 unweighted_recall 0.7301791044776119 [0.882,0.578358] area_under_roc_curve 0.9155555555555555 [0.915556,0.915556] area_under_roc_curve 0.737037037037037 [0.737037,0.737037] area_under_roc_curve 0.8844444444444445 [0.884444,0.884444] area_under_roc_curve 0.8325925925925926 [0.832593,0.832593] area_under_roc_curve 0.8118518518518517 [0.811852,0.811852] area_under_roc_curve 0.8918518518518519 [0.891852,0.891852] area_under_roc_curve 0.8007407407407409 [0.800741,0.800741] area_under_roc_curve 0.8725925925925925 [0.872593,0.872593] area_under_roc_curve 0.8246153846153847 [0.824615,0.824615] area_under_roc_curve 0.7684615384615384 [0.768462,0.768462] 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 0.8441558441558441 [0.88,0.777778] f_measure 0.6617669465154054 [0.766355,0.468085] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.7339118036792455 [0.828829,0.55814] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.7937567020135827 [0.862385,0.666667] f_measure 0.7781321991848308 [0.851852,0.636364] f_measure 0.6884765104249988 [0.780952,0.510638] kappa 0.6577777777777777 kappa 0.24182749113824342 kappa 0.5276073619631902 kappa 0.4021250510829588 kappa 0.4936170212765959 kappa 0.6260739633918567 kappa 0.5276073619631902 kappa 0.5367027677496993 kappa 0.4950166112956811 kappa 0.29516129032258054 kb_relative_information_score 0.4370523579870156 kb_relative_information_score 0.224585492740276 kb_relative_information_score 0.3544667432745405 kb_relative_information_score 0.3014633269889141 kb_relative_information_score 0.3211726319900911 kb_relative_information_score 0.3752014144651243 kb_relative_information_score 0.33383103635769407 kb_relative_information_score 0.36549819868320144 kb_relative_information_score 0.3293120205438409 kb_relative_information_score 0.250171227823016 mean_absolute_error 0.2728424053814896 mean_absolute_error 0.35117718221396343 mean_absolute_error 0.3048135552215098 mean_absolute_error 0.32034751020400626 mean_absolute_error 0.31858106289538385 mean_absolute_error 0.2969302363221496 mean_absolute_error 0.30961898638518237 mean_absolute_error 0.29892577019574385 mean_absolute_error 0.3072954804777279 mean_absolute_error 0.3361853515019278 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8441558441558441 [0.88,0.777778] precision 0.6599339257233994 [0.719298,0.55] precision 0.788276136102223 [0.814815,0.73913] precision 0.7526612731530764 [0.754098,0.75] precision 0.7744982290436836 [0.8,0.727273] precision 0.8299543593661242 [0.862745,0.769231] precision 0.788276136102223 [0.814815,0.73913] precision 0.8094871230464451 [0.79661,0.833333] precision 0.7878604557370438 [0.793103,0.777778] precision 0.6859193438140806 [0.745455,0.571429] predictive_accuracy 0.8441558441558442 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.6973684210526316 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.5996525267846128 relative_absolute_error 0.7718165523766862 relative_absolute_error 0.6699186599356227 relative_absolute_error 0.7040591570595509 relative_absolute_error 0.7001768624779362 relative_absolute_error 0.6525927164451284 relative_absolute_error 0.6804800275337302 relative_absolute_error 0.656978497049547 relative_absolute_error 0.6792163286582794 relative_absolute_error 0.7430717166449909 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.3424389991328282 root_mean_squared_error 0.4554462469310508 root_mean_squared_error 0.3763499404149898 root_mean_squared_error 0.40555000320273576 root_mean_squared_error 0.3961882468405322 root_mean_squared_error 0.3590003252491047 root_mean_squared_error 0.40686009057046574 root_mean_squared_error 0.3781420518005646 root_mean_squared_error 0.397722382750074 root_mean_squared_error 0.4325329788694172 root_relative_squared_error 0.7176380401381391 root_relative_squared_error 0.9544635770562176 root_relative_squared_error 0.7887040738042707 root_relative_squared_error 0.8498976758296649 root_relative_squared_error 0.8302785538691532 root_relative_squared_error 0.7523450613777473 root_relative_squared_error 0.8526431824260756 root_relative_squared_error 0.7924597421297532 root_relative_squared_error 0.8382456468869993 root_relative_squared_error 0.9116129803038803 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 0.8288888888888889 [0.88,0.777778] unweighted_recall 0.6137037037037036 [0.82,0.407407] unweighted_recall 0.7548148148148148 [0.88,0.62963] unweighted_recall 0.6822222222222223 [0.92,0.444444] unweighted_recall 0.7362962962962962 [0.88,0.592593] unweighted_recall 0.8103703703703704 [0.88,0.740741] unweighted_recall 0.7548148148148148 [0.88,0.62963] unweighted_recall 0.7477777777777778 [0.94,0.555556] unweighted_recall 0.7292307692307692 [0.92,0.538462] unweighted_recall 0.6407692307692308 [0.82,0.461538] usercpu_time_millis 5.569889995967969 usercpu_time_millis 5.4406649942393415 usercpu_time_millis 5.553031005547382 usercpu_time_millis 5.438316999061499 usercpu_time_millis 5.5063149993657134 usercpu_time_millis 5.461171000206377 usercpu_time_millis 5.44762599747628 usercpu_time_millis 6.039348001650069 usercpu_time_millis 6.152779009426013 usercpu_time_millis 5.474940997373778 usercpu_time_millis_testing 0.6527699952130206 usercpu_time_millis_testing 0.5944559961790219 usercpu_time_millis_testing 0.6190990025061183 usercpu_time_millis_testing 0.5877029980183579 usercpu_time_millis_testing 0.5926250014454126 usercpu_time_millis_testing 0.5963430012343451 usercpu_time_millis_testing 0.5961179995210841 usercpu_time_millis_testing 0.6461410011979751 usercpu_time_millis_testing 0.6944500055396929 usercpu_time_millis_testing 0.5928949976805598 usercpu_time_millis_training 4.917120000754949 usercpu_time_millis_training 4.84620899806032 usercpu_time_millis_training 4.933932003041264 usercpu_time_millis_training 4.850614001043141 usercpu_time_millis_training 4.913689997920301 usercpu_time_millis_training 4.864827998972032 usercpu_time_millis_training 4.851507997955196 usercpu_time_millis_training 5.393207000452094 usercpu_time_millis_training 5.45832900388632 usercpu_time_millis_training 4.882045999693219 wall_clock_time_millis 5.577564239501953 wall_clock_time_millis 5.446672439575195 wall_clock_time_millis 5.558252334594727 wall_clock_time_millis 5.4473876953125 wall_clock_time_millis 5.517005920410156 wall_clock_time_millis 5.466461181640625 wall_clock_time_millis 5.4569244384765625 wall_clock_time_millis 6.051301956176758 wall_clock_time_millis 6.160259246826172 wall_clock_time_millis 5.485057830810547 wall_clock_time_millis_testing 0.6563663482666016 wall_clock_time_millis_testing 0.5986690521240234 wall_clock_time_millis_testing 0.6234645843505859 wall_clock_time_millis_testing 0.5929470062255859 wall_clock_time_millis_testing 0.5967617034912109 wall_clock_time_millis_testing 0.6010532379150391 wall_clock_time_millis_testing 0.6005764007568359 wall_clock_time_millis_testing 0.6520748138427734 wall_clock_time_millis_testing 0.6985664367675781 wall_clock_time_millis_testing 0.5984306335449219 wall_clock_time_millis_training 4.921197891235352 wall_clock_time_millis_training 4.848003387451172 wall_clock_time_millis_training 4.934787750244141 wall_clock_time_millis_training 4.854440689086914 wall_clock_time_millis_training 4.920244216918945 wall_clock_time_millis_training 4.865407943725586 wall_clock_time_millis_training 4.856348037719727 wall_clock_time_millis_training 5.399227142333984 wall_clock_time_millis_training 5.461692810058594 wall_clock_time_millis_training 4.886627197265625 weighted_recall 0.8441558441558441 [0.88,0.777778] weighted_recall 0.6753246753246753 [0.82,0.407407] weighted_recall 0.7922077922077922 [0.88,0.62963] weighted_recall 0.7532467532467533 [0.92,0.444444] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.8311688311688312 [0.88,0.740741] weighted_recall 0.7922077922077922 [0.88,0.62963] weighted_recall 0.8051948051948052 [0.94,0.555556] weighted_recall 0.7894736842105263 [0.92,0.538462] weighted_recall 0.6973684210526315 [0.82,0.461538]