10498492 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) 8275627 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.1 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. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21921933 description https://api.openml.org/data/download/21921933/description.xml -1 21921934 predictions https://api.openml.org/data/download/21921934/predictions.arff area_under_roc_curve 0.8307910447761194 [0.830791,0.830791] average_cost 0 f_measure 0.7667509342394631 [0.836946,0.635789] kappa 0.47660017018058065 kb_relative_information_score 0.3133553215303262 mean_absolute_error 0.32015045465065467 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7747395833333334 [0.888,0.563433] number_of_instances 768 [500,268] precision 0.7698170698890009 [0.791444,0.729469] predictive_accuracy 0.7747395833333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.704414859143246 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.3965338936843609 root_relative_squared_error 0.8319342194612516 total_cost 0 unweighted_recall 0.7257164179104478 [0.888,0.563433] area_under_roc_curve 0.9162962962962964 [0.916296,0.916296] area_under_roc_curve 0.7355555555555555 [0.735556,0.735556] area_under_roc_curve 0.8777777777777778 [0.877778,0.877778] area_under_roc_curve 0.8340740740740741 [0.834074,0.834074] area_under_roc_curve 0.8096296296296296 [0.80963,0.80963] area_under_roc_curve 0.8933333333333333 [0.893333,0.893333] area_under_roc_curve 0.7992592592592592 [0.799259,0.799259] area_under_roc_curve 0.8696296296296296 [0.86963,0.86963] area_under_roc_curve 0.8284615384615385 [0.828462,0.828462] area_under_roc_curve 0.7753846153846154 [0.775385,0.775385] 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 0.8577200577200578 [0.888889,0.8] f_measure 0.6727523684045422 [0.777778,0.478261] f_measure 0.7851016907620681 [0.849057,0.666667] f_measure 0.6997233286894414 [0.814159,0.487805] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7732131813764467 [0.838095,0.653061] 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 0.6889460154241644 kappa 0.2655007949125597 kappa 0.5191256830601093 kappa 0.326530612244898 kappa 0.48444269397400563 kappa 0.6260739633918567 kappa 0.4936170212765959 kappa 0.5367027677496993 kappa 0.4950166112956811 kappa 0.29516129032258054 kb_relative_information_score 0.4154992405142172 kb_relative_information_score 0.21222817066870758 kb_relative_information_score 0.33446105420442224 kb_relative_information_score 0.28632710256343225 kb_relative_information_score 0.30348936109580743 kb_relative_information_score 0.3565806105301101 kb_relative_information_score 0.3173848412436938 kb_relative_information_score 0.3450146070140121 kb_relative_information_score 0.3133506259795963 kb_relative_information_score 0.24783621168302247 mean_absolute_error 0.2834971008024181 mean_absolute_error 0.35827789774018975 mean_absolute_error 0.31497603412069125 mean_absolute_error 0.3278559733170745 mean_absolute_error 0.3272554077205826 mean_absolute_error 0.30718433592632644 mean_absolute_error 0.3186000770366474 mean_absolute_error 0.30893355324445754 mean_absolute_error 0.3155144667824965 mean_absolute_error 0.33960211109588534 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 0.858600583090379 [0.897959,0.785714] precision 0.6732269545336695 [0.724138,0.578947] precision 0.788961038961039 [0.803571,0.761905] precision 0.7245928674500103 [0.730159,0.714286] precision 0.7756322624743677 [0.789474,0.75] precision 0.8299543593661242 [0.862745,0.769231] precision 0.7744982290436836 [0.8,0.727273] precision 0.8094871230464451 [0.79661,0.833333] precision 0.7878604557370438 [0.793103,0.777778] precision 0.6859193438140806 [0.745455,0.571429] predictive_accuracy 0.8571428571428571 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7792207792207791 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 0.6230693963960168 relative_absolute_error 0.787422491641614 relative_absolute_error 0.6922537369987678 relative_absolute_error 0.7205612432060393 relative_absolute_error 0.7192413212645334 relative_absolute_error 0.675129157321862 relative_absolute_error 0.7002186517219409 relative_absolute_error 0.6789735838626928 relative_absolute_error 0.6973827842616583 relative_absolute_error 0.750623792919292 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 0.3455054448396858 root_mean_squared_error 0.4539707678850537 root_mean_squared_error 0.3807327444290164 root_mean_squared_error 0.40712349844855084 root_mean_squared_error 0.3977979170845213 root_mean_squared_error 0.36126456406357205 root_mean_squared_error 0.4058568744904015 root_mean_squared_error 0.38123723966448586 root_mean_squared_error 0.3962635406880608 root_mean_squared_error 0.42506565235795896 root_relative_squared_error 0.7240642885877372 root_relative_squared_error 0.9513714646113277 root_relative_squared_error 0.7978889706498417 root_relative_squared_error 0.8531951975699833 root_relative_squared_error 0.8336518863519903 root_relative_squared_error 0.7570901514794408 root_relative_squared_error 0.8505407757978718 root_relative_squared_error 0.7989462245635552 root_relative_squared_error 0.83517096952154 root_relative_squared_error 0.8958747311793718 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 0.8474074074074074 [0.88,0.814815] unweighted_recall 0.6237037037037036 [0.84,0.407407] unweighted_recall 0.7462962962962962 [0.9,0.592593] unweighted_recall 0.6451851851851852 [0.92,0.37037] unweighted_recall 0.7277777777777779 [0.9,0.555556] unweighted_recall 0.8103703703703704 [0.88,0.740741] unweighted_recall 0.7362962962962962 [0.88,0.592593] 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 7.870982997701503 usercpu_time_millis 7.89716300641885 usercpu_time_millis 7.79344799957471 usercpu_time_millis 7.836084994778503 usercpu_time_millis 7.795653997163754 usercpu_time_millis 7.495286001358181 usercpu_time_millis 7.7488800015999 usercpu_time_millis 7.567472006485332 usercpu_time_millis 6.976242002565414 usercpu_time_millis 6.9437339989235625 usercpu_time_millis_testing 0.481434995890595 usercpu_time_millis_testing 0.5303280049702153 usercpu_time_millis_testing 0.48180999874603003 usercpu_time_millis_testing 0.4849679971812293 usercpu_time_millis_testing 0.48182000318774953 usercpu_time_millis_testing 0.48069599870359525 usercpu_time_millis_testing 0.514715000463184 usercpu_time_millis_testing 0.43261400423943996 usercpu_time_millis_testing 0.4334420009399764 usercpu_time_millis_testing 0.44793100096285343 usercpu_time_millis_training 7.389548001810908 usercpu_time_millis_training 7.366835001448635 usercpu_time_millis_training 7.31163800082868 usercpu_time_millis_training 7.351116997597273 usercpu_time_millis_training 7.313833993976004 usercpu_time_millis_training 7.014590002654586 usercpu_time_millis_training 7.2341650011367165 usercpu_time_millis_training 7.134858002245892 usercpu_time_millis_training 6.542800001625437 usercpu_time_millis_training 6.495802997960709 wall_clock_time_millis 7.87663459777832 wall_clock_time_millis 7.904529571533203 wall_clock_time_millis 7.799625396728516 wall_clock_time_millis 7.840156555175781 wall_clock_time_millis 7.799625396728516 wall_clock_time_millis 7.500886917114258 wall_clock_time_millis 7.75599479675293 wall_clock_time_millis 7.570505142211914 wall_clock_time_millis 6.979227066040039 wall_clock_time_millis 6.947755813598633 wall_clock_time_millis_testing 0.48661231994628906 wall_clock_time_millis_testing 0.5335807800292969 wall_clock_time_millis_testing 0.4868507385253906 wall_clock_time_millis_testing 0.48851966857910156 wall_clock_time_millis_testing 0.4856586456298828 wall_clock_time_millis_testing 0.4837512969970703 wall_clock_time_millis_testing 0.5185604095458984 wall_clock_time_millis_testing 0.4353523254394531 wall_clock_time_millis_testing 0.4367828369140625 wall_clock_time_millis_testing 0.4508495330810547 wall_clock_time_millis_training 7.390022277832031 wall_clock_time_millis_training 7.370948791503906 wall_clock_time_millis_training 7.312774658203125 wall_clock_time_millis_training 7.35163688659668 wall_clock_time_millis_training 7.313966751098633 wall_clock_time_millis_training 7.0171356201171875 wall_clock_time_millis_training 7.237434387207031 wall_clock_time_millis_training 7.135152816772461 wall_clock_time_millis_training 6.542444229125977 wall_clock_time_millis_training 6.496906280517578 weighted_recall 0.8571428571428571 [0.88,0.814815] weighted_recall 0.6883116883116883 [0.84,0.407407] weighted_recall 0.7922077922077922 [0.9,0.592593] weighted_recall 0.7272727272727273 [0.92,0.37037] weighted_recall 0.7792207792207793 [0.9,0.555556] weighted_recall 0.8311688311688312 [0.88,0.740741] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.8051948051948052 [0.94,0.555556] weighted_recall 0.7894736842105263 [0.92,0.538462] weighted_recall 0.6973684210526315 [0.82,0.461538]