10434491 10792 George Volkov 10101 Supervised Classification 17462 sklearn.linear_model.logistic.LogisticRegression(33) 8258774 C 1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1248 17462 solver "warn" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 openml-python Sklearn_0.21.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21791815 description https://api.openml.org/data/download/21791815/description.xml -1 21791816 predictions https://api.openml.org/data/download/21791816/predictions.arff area_under_roc_curve 0.7515671200473094 [0.751567,0.751567] average_cost 0 f_measure 0.7073906545881211 [0.866719,0.197183] kappa 0.12907179431310603 kb_relative_information_score 0.09698723877462326 mean_absolute_error 0.30914075691507087 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 0.851522893283948 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.3927613110040352 root_relative_squared_error 0.9223213995905958 total_cost 0 unweighted_recall 0.5467080622905579 [0.975439,0.117978] area_under_roc_curve 0.7792397660818714 [0.77924,0.77924] area_under_roc_curve 0.8367446393762183 [0.836745,0.836745] 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 0.7352941176470589 [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 0.08515565451258376 kb_relative_information_score 0.17871333625240104 kb_relative_information_score -0.006737527145061972 kb_relative_information_score 0.03402604307659979 kb_relative_information_score 0.17908288626584346 kb_relative_information_score 0.10087214127906796 kb_relative_information_score 0.15321363359916507 kb_relative_information_score 0.04344898740197992 kb_relative_information_score 0.08838596741526353 kb_relative_information_score 0.11400293815974631 mean_absolute_error 0.3138526739852214 mean_absolute_error 0.2890136284765443 mean_absolute_error 0.34007229890896956 mean_absolute_error 0.3294759059777156 mean_absolute_error 0.285792085412349 mean_absolute_error 0.30808499947868756 mean_absolute_error 0.29283033785940876 mean_absolute_error 0.3239087500845414 mean_absolute_error 0.3033182254718214 mean_absolute_error 0.3049248172135184 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 0.8619800259591179 relative_absolute_error 0.7937608809045267 relative_absolute_error 0.9339908604867696 relative_absolute_error 0.9048884190833695 relative_absolute_error 0.7849130806330074 relative_absolute_error 0.8461394082650342 relative_absolute_error 0.8042432744783816 relative_absolute_error 0.8895985153193421 relative_absolute_error 0.8455128836607774 relative_absolute_error 0.8499913287468739 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 0.3941294211455257 root_mean_squared_error 0.3688012616778751 root_mean_squared_error 0.41647633347365814 root_mean_squared_error 0.42706700739172176 root_mean_squared_error 0.375404409724115 root_mean_squared_error 0.3967864467649639 root_mean_squared_error 0.37552004377428533 root_mean_squared_error 0.3972092001914305 root_mean_squared_error 0.3903663103270603 root_mean_squared_error 0.3817596800302043 root_relative_squared_error 0.9228355621911439 root_relative_squared_error 0.8635308642224886 root_relative_squared_error 0.9751598097482774 root_relative_squared_error 0.9999573762195982 root_relative_squared_error 0.8789918258065597 root_relative_squared_error 0.9290568631134242 root_relative_squared_error 0.8792625775139232 root_relative_squared_error 0.9300467204421353 root_relative_squared_error 0.9277782197149965 root_relative_squared_error 0.9073229603257522 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 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 6.734609603881836 wall_clock_time_millis 1.9993782043457031 wall_clock_time_millis 1.9981861114501953 wall_clock_time_millis 1.9977092742919922 wall_clock_time_millis 2.0079612731933594 wall_clock_time_millis 2.675771713256836 wall_clock_time_millis 1.9974708557128906 wall_clock_time_millis 1.9958019256591797 wall_clock_time_millis 2.1877288818359375 wall_clock_time_millis 2.986431121826172 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 6.734609603881836 wall_clock_time_millis_training 1.9993782043457031 wall_clock_time_millis_training 1.9981861114501953 wall_clock_time_millis_training 1.9977092742919922 wall_clock_time_millis_training 2.0079612731933594 wall_clock_time_millis_training 2.675771713256836 wall_clock_time_millis_training 1.9974708557128906 wall_clock_time_millis_training 1.9958019256591797 wall_clock_time_millis_training 2.1877288818359375 wall_clock_time_millis_training 2.986431121826172 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]