10558422 8323 Heinrich Peters 10101 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275921 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 "median" 17407 verbose 0 17407 C 100000.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 724 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22041807 description https://api.openml.org/data/download/22041807/description.xml -1 22041808 predictions https://api.openml.org/data/download/22041808/predictions.arff area_under_roc_curve 0.7515769761482357 [0.751577,0.751577] average_cost 0 f_measure 0.7073906545881211 [0.866719,0.197183] kappa 0.12907179431310603 kb_relative_information_score 0.09817423877517034 mean_absolute_error 0.30892968682886446 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 0.8509415043649142 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.39279881816741163 root_relative_squared_error 0.9224094776635903 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 0.6895711500974658 [0.689571,0.689571] 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 0.7342621259029928 [0.734262,0.734262] area_under_roc_curve 0.7765737874097007 [0.776574,0.776574] 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 0.08598910600519993 kb_relative_information_score 0.17975472416919946 kb_relative_information_score -0.005481887234576262 kb_relative_information_score 0.03480705877873675 kb_relative_information_score 0.1799248214987999 kb_relative_information_score 0.10204284449828853 kb_relative_information_score 0.15462209267265642 kb_relative_information_score 0.0458483517673841 kb_relative_information_score 0.08992558946610199 kb_relative_information_score 0.11459288642612639 mean_absolute_error 0.3137394784015294 mean_absolute_error 0.28884101942936025 mean_absolute_error 0.3398392995202353 mean_absolute_error 0.32940676070032177 mean_absolute_error 0.2856095947927746 mean_absolute_error 0.3077875219509334 mean_absolute_error 0.2925477977220961 mean_absolute_error 0.3234898999058137 mean_absolute_error 0.3029665206114556 mean_absolute_error 0.3049362201488241 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 0.8616691401829022 relative_absolute_error 0.7932868191446465 relative_absolute_error 0.9333509397985073 relative_absolute_error 0.9046985151795854 relative_absolute_error 0.7844118796491167 relative_absolute_error 0.8453224017255014 relative_absolute_error 0.8034672927038669 relative_absolute_error 0.8884481651141064 relative_absolute_error 0.8445324909058652 relative_absolute_error 0.850023114930172 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 0.3942361873951436 root_mean_squared_error 0.36889974089375616 root_mean_squared_error 0.4166914012045692 root_mean_squared_error 0.42720738308387557 root_mean_squared_error 0.375299584343824 root_mean_squared_error 0.3967963185902158 root_mean_squared_error 0.37551060688987586 root_mean_squared_error 0.3970018312750236 root_mean_squared_error 0.39015403342411 root_mean_squared_error 0.3820834974484223 root_relative_squared_error 0.9230855503592507 root_relative_squared_error 0.86376144868961 root_relative_squared_error 0.9756633807574847 root_relative_squared_error 1.0002860593217382 root_relative_squared_error 0.8787463820929908 root_relative_squared_error 0.9290799775294447 root_relative_squared_error 0.8792404814914948 root_relative_squared_error 0.9295611758461567 root_relative_squared_error 0.9272737041307986 root_relative_squared_error 0.9080925727124751 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 5.149999997229315 usercpu_time_millis 6.3119999977061525 usercpu_time_millis 5.389999998442363 usercpu_time_millis 5.901999997149687 usercpu_time_millis 5.3520000001299195 usercpu_time_millis 5.231999995885417 usercpu_time_millis 5.15599999926053 usercpu_time_millis 5.4059999965829775 usercpu_time_millis 10.869999998249114 usercpu_time_millis 5.5219999921973795 usercpu_time_millis_testing 0.4960000005667098 usercpu_time_millis_testing 0.5220000020926818 usercpu_time_millis_testing 0.5359999995562248 usercpu_time_millis_testing 0.7340000011026859 usercpu_time_millis_testing 0.5160000000614673 usercpu_time_millis_testing 0.5959999980404973 usercpu_time_millis_testing 0.5620000010821968 usercpu_time_millis_testing 0.5719999971915968 usercpu_time_millis_testing 0.9720000016386621 usercpu_time_millis_testing 0.6319999956758693 usercpu_time_millis_training 4.6539999966626056 usercpu_time_millis_training 5.789999995613471 usercpu_time_millis_training 4.853999998886138 usercpu_time_millis_training 5.167999996047001 usercpu_time_millis_training 4.836000000068452 usercpu_time_millis_training 4.63599999784492 usercpu_time_millis_training 4.593999998178333 usercpu_time_millis_training 4.833999999391381 usercpu_time_millis_training 9.897999996610451 usercpu_time_millis_training 4.88999999652151 wall_clock_time_millis 2.5949478149414062 wall_clock_time_millis 3.2088756561279297 wall_clock_time_millis 2.827167510986328 wall_clock_time_millis 3.155231475830078 wall_clock_time_millis 2.7408599853515625 wall_clock_time_millis 2.6383399963378906 wall_clock_time_millis 2.6068687438964844 wall_clock_time_millis 2.9709339141845703 wall_clock_time_millis 5.728006362915039 wall_clock_time_millis 2.81524658203125 wall_clock_time_millis_testing 0.2510547637939453 wall_clock_time_millis_testing 0.26488304138183594 wall_clock_time_millis_testing 0.26988983154296875 wall_clock_time_millis_testing 0.38909912109375 wall_clock_time_millis_testing 0.2608299255371094 wall_clock_time_millis_testing 0.30112266540527344 wall_clock_time_millis_testing 0.28395652770996094 wall_clock_time_millis_testing 0.29087066650390625 wall_clock_time_millis_testing 0.5428791046142578 wall_clock_time_millis_testing 0.3192424774169922 wall_clock_time_millis_training 2.343893051147461 wall_clock_time_millis_training 2.9439926147460938 wall_clock_time_millis_training 2.5572776794433594 wall_clock_time_millis_training 2.766132354736328 wall_clock_time_millis_training 2.480030059814453 wall_clock_time_millis_training 2.337217330932617 wall_clock_time_millis_training 2.3229122161865234 wall_clock_time_millis_training 2.680063247680664 wall_clock_time_millis_training 5.185127258300781 wall_clock_time_millis_training 2.496004104614258 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]