10551182 8323 Heinrich Peters 10101 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 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 "liblinear" 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. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22027319 description https://api.openml.org/data/download/22027319/description.xml -1 22027320 predictions https://api.openml.org/data/download/22027320/predictions.arff area_under_roc_curve 0.7521190616991917 [0.752119,0.752119] average_cost 0 f_measure 0.7073906545881211 [0.866719,0.197183] kappa 0.12907179431310603 kb_relative_information_score 0.09371578807816044 mean_absolute_error 0.3107479221210534 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7713903743315508 [0.975439,0.117978] number_of_instances 748 [570,178] precision 0.7370161477825862 [0.779804,0.6] predictive_accuracy 0.7713903743315508 prior_entropy 0.7916465694609683 relative_absolute_error 0.8559498021776192 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.39287918818165907 root_relative_squared_error 0.9225982105706992 total_cost 0 unweighted_recall 0.5467080622905579 [0.975439,0.117978] area_under_roc_curve 0.7782651072124757 [0.778265,0.778265] area_under_roc_curve 0.8396686159844056 [0.839669,0.839669] area_under_roc_curve 0.6783625730994152 [0.678363,0.678363] area_under_roc_curve 0.6885964912280701 [0.688596,0.688596] area_under_roc_curve 0.7787524366471735 [0.778752,0.778752] area_under_roc_curve 0.7373294346978557 [0.737329,0.737329] area_under_roc_curve 0.7850877192982456 [0.785088,0.785088] area_under_roc_curve 0.73635477582846 [0.736355,0.736355] area_under_roc_curve 0.7352941176470589 [0.735294,0.735294] area_under_roc_curve 0.7776057791537667 [0.777606,0.777606] 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 0.6880383430332078 [0.850394,0.173913] f_measure 0.7144615384615385 [0.876923,0.2] f_measure 0.6430769230769231 [0.846154,0] f_measure 0.6630681818181817 [0.84375,0.090909] f_measure 0.7755555555555557 [0.888889,0.416667] f_measure 0.6787692307692308 [0.861538,0.1] f_measure 0.7401993355481727 [0.883721,0.285714] f_measure 0.720876412187607 [0.866142,0.26087] f_measure 0.7199324324324324 [0.875,0.2] f_measure 0.7199324324324324 [0.875,0.2] kappa 0.07766990291262131 kappa 0.1596638655462184 kappa -0.05042016806722702 kappa 0.003984063745019896 kappa 0.3371212121212121 kappa 0.0546218487394959 kappa 0.23312883435582848 kappa 0.17475728155339784 kappa 0.14078374455732942 kappa 0.14078374455732942 kb_relative_information_score 0.08256698030272172 kb_relative_information_score 0.17554349233564587 kb_relative_information_score -0.008931529651517597 kb_relative_information_score 0.029437492863439618 kb_relative_information_score 0.1748381649109633 kb_relative_information_score 0.09792820884309428 kb_relative_information_score 0.1488871779982497 kb_relative_information_score 0.04209582804113756 kb_relative_information_score 0.08597941648374453 kb_relative_information_score 0.10907695016758877 mean_absolute_error 0.31550519105920716 mean_absolute_error 0.2907841984785091 mean_absolute_error 0.34121807832124396 mean_absolute_error 0.3312153386374196 mean_absolute_error 0.28762565786887334 mean_absolute_error 0.30963066627329267 mean_absolute_error 0.29459064173102534 mean_absolute_error 0.32514252664379006 mean_absolute_error 0.3046460549676565 mean_absolute_error 0.3069893953099891 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.6822857142857144 [0.771429,0.4] precision 0.8334246575342465 [0.780822,1] precision 0.5726027397260274 [0.753425,0] precision 0.6380281690140844 [0.760563,0.25] precision 0.8168115942028985 [0.811594,0.833333] precision 0.703013698630137 [0.767123,0.5] precision 0.8416666666666667 [0.791667,1] precision 0.7411428571428571 [0.785714,0.6] precision 0.7606902677325212 [0.788732,0.666667] precision 0.7606902677325212 [0.788732,0.666667] predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.7837837837837838 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 relative_absolute_error 0.8665185780518722 relative_absolute_error 0.798623659216646 relative_absolute_error 0.9371376839788078 relative_absolute_error 0.9096656803063737 relative_absolute_error 0.7899488919058696 relative_absolute_error 0.850384501629447 relative_absolute_error 0.8090778573980844 relative_absolute_error 0.8929870183933002 relative_absolute_error 0.8492142667355563 relative_absolute_error 0.855746430924379 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.3942599161516437 root_mean_squared_error 0.36926201113794127 root_mean_squared_error 0.4165361389553551 root_mean_squared_error 0.42696555801625613 root_mean_squared_error 0.3754634870763546 root_mean_squared_error 0.39676344262826785 root_mean_squared_error 0.3759549882307727 root_mean_squared_error 0.3970041823143406 root_mean_squared_error 0.3900244291081942 root_mean_squared_error 0.38254287654870345 root_relative_squared_error 0.9231411101301533 root_relative_squared_error 0.864609687482558 root_relative_squared_error 0.9752998414798937 root_relative_squared_error 0.9997198372630554 root_relative_squared_error 0.8791301526571874 root_relative_squared_error 0.9290030000058215 root_relative_squared_error 0.880280979567893 root_relative_squared_error 0.9295666806944971 root_relative_squared_error 0.9269656753426918 root_relative_squared_error 0.90918437267717 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 0.5292397660818713 [0.947368,0.111111] unweighted_recall 0.5555555555555556 [1,0.111111] unweighted_recall 0.4824561403508772 [0.964912,0] unweighted_recall 0.5014619883040935 [0.947368,0.055556] unweighted_recall 0.6301169590643274 [0.982456,0.277778] unweighted_recall 0.5190058479532164 [0.982456,0.055556] unweighted_recall 0.5833333333333334 [1,0.166667] unweighted_recall 0.5657894736842105 [0.964912,0.166667] unweighted_recall 0.5500515995872033 [0.982456,0.117647] unweighted_recall 0.5500515995872033 [0.982456,0.117647] usercpu_time_millis 4.873350961133838 usercpu_time_millis 4.7878960613161325 usercpu_time_millis 4.752772976644337 usercpu_time_millis 4.7591550392098725 usercpu_time_millis 4.766490019392222 usercpu_time_millis 4.717970034107566 usercpu_time_millis 4.836072970647365 usercpu_time_millis 4.737331997603178 usercpu_time_millis 4.385843989439309 usercpu_time_millis 4.055567958857864 usercpu_time_millis_testing 0.6068979855626822 usercpu_time_millis_testing 0.5672310362569988 usercpu_time_millis_testing 0.5648409714922309 usercpu_time_millis_testing 0.5692330305464566 usercpu_time_millis_testing 0.5606880295090377 usercpu_time_millis_testing 0.5958520341664553 usercpu_time_millis_testing 0.612750998698175 usercpu_time_millis_testing 0.6197930197231472 usercpu_time_millis_testing 0.5187219940125942 usercpu_time_millis_testing 0.47496898332610726 usercpu_time_millis_training 4.2664529755711555 usercpu_time_millis_training 4.220665025059134 usercpu_time_millis_training 4.187932005152106 usercpu_time_millis_training 4.189922008663416 usercpu_time_millis_training 4.205801989883184 usercpu_time_millis_training 4.122117999941111 usercpu_time_millis_training 4.22332197194919 usercpu_time_millis_training 4.117538977880031 usercpu_time_millis_training 3.8671219954267144 usercpu_time_millis_training 3.580598975531757 wall_clock_time_millis 4.881381988525391 wall_clock_time_millis 4.793882369995117 wall_clock_time_millis 4.759311676025391 wall_clock_time_millis 4.764556884765625 wall_clock_time_millis 4.772424697875977 wall_clock_time_millis 4.723072052001953 wall_clock_time_millis 4.842042922973633 wall_clock_time_millis 4.7454833984375 wall_clock_time_millis 4.393577575683594 wall_clock_time_millis 4.061698913574219 wall_clock_time_millis_testing 0.6110668182373047 wall_clock_time_millis_testing 0.5710124969482422 wall_clock_time_millis_testing 0.5681514739990234 wall_clock_time_millis_testing 0.5731582641601562 wall_clock_time_millis_testing 0.5648136138916016 wall_clock_time_millis_testing 0.5998611450195312 wall_clock_time_millis_testing 0.6158351898193359 wall_clock_time_millis_testing 0.6248950958251953 wall_clock_time_millis_testing 0.5221366882324219 wall_clock_time_millis_testing 0.47898292541503906 wall_clock_time_millis_training 4.270315170288086 wall_clock_time_millis_training 4.222869873046875 wall_clock_time_millis_training 4.191160202026367 wall_clock_time_millis_training 4.191398620605469 wall_clock_time_millis_training 4.207611083984375 wall_clock_time_millis_training 4.123210906982422 wall_clock_time_millis_training 4.226207733154297 wall_clock_time_millis_training 4.120588302612305 wall_clock_time_millis_training 3.871440887451172 wall_clock_time_millis_training 3.5827159881591797 weighted_recall 0.7466666666666667 [0.947368,0.111111] weighted_recall 0.7866666666666666 [1,0.111111] weighted_recall 0.7333333333333333 [0.964912,0] weighted_recall 0.7333333333333333 [0.947368,0.055556] weighted_recall 0.8133333333333334 [0.982456,0.277778] weighted_recall 0.76 [0.982456,0.055556] weighted_recall 0.8 [1,0.166667] weighted_recall 0.7733333333333333 [0.964912,0.166667] weighted_recall 0.7837837837837838 [0.982456,0.117647] weighted_recall 0.7837837837837838 [0.982456,0.117647]