10386613 8323 Heinrich Peters 37 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8231631 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 131.79955149814975 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.005449601498518041 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21694935 description https://api.openml.org/data/download/21694935/description.xml -1 21694936 predictions https://api.openml.org/data/download/21694936/predictions.arff area_under_roc_curve 0.7110597014925374 [0.71106,0.71106] average_cost 0 f_measure 0.7560982402596311 [0.833488,0.611714] kappa 0.4514285714285715 kb_relative_information_score 0.46615776312751583 mean_absolute_error 0.23307291666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7621848483141848 [0.77913,0.73057] predictive_accuracy 0.7669270833333333 prior_entropy 0.9331348051619819 recall 0.7669270833333334 [0.896,0.526119] relative_absolute_error 0.5128214668412927 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4827762594273528 root_relative_squared_error 1.0128720317684103 total_cost 0 area_under_roc_curve 0.7833333333333333 [0.783333,0.783333] area_under_roc_curve 0.6437037037037037 [0.643704,0.643704] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.5981481481481481 [0.598148,0.598148] area_under_roc_curve 0.7362962962962963 [0.736296,0.736296] area_under_roc_curve 0.7833333333333333 [0.783333,0.783333] area_under_roc_curve 0.7462962962962963 [0.746296,0.746296] area_under_roc_curve 0.7122222222222221 [0.712222,0.712222] area_under_roc_curve 0.69 [0.69,0.69] area_under_roc_curve 0.7084615384615386 [0.708462,0.708462] 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 0.8144055944055943 [0.865385,0.72] f_measure 0.6948051948051948 [0.8,0.5] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.652904989747095 [0.789474,0.4] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.8144055944055943 [0.865385,0.72] f_measure 0.7851016907620681 [0.849057,0.666667] f_measure 0.7686033264980632 [0.859649,0.6] f_measure 0.7387331256490135 [0.82243,0.577778] f_measure 0.7459877154745392 [0.815534,0.612245] kappa 0.5866564417177915 kappa 0.31417004048582997 kappa 0.44912559618441983 kappa 0.22287636669470148 kappa 0.4936170212765959 kappa 0.5866564417177915 kappa 0.5191256830601093 kappa 0.48191757779646777 kappa 0.40624999999999994 kappa 0.42879746835443044 kb_relative_information_score 0.5842302549694615 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.2872518656619342 kb_relative_information_score 0.49513673817720366 kb_relative_information_score 0.5842302549694616 kb_relative_information_score 0.5248345771079562 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.42358901489956663 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.25 mean_absolute_error 0.25 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 0.8155467720685112 [0.833333,0.782609] precision 0.7030812324929973 [0.733333,0.647059] precision 0.7621797440309238 [0.775862,0.736842] precision 0.6723588911088911 [0.703125,0.615385] precision 0.7744982290436836 [0.8,0.727273] precision 0.8155467720685112 [0.833333,0.782609] precision 0.788961038961039 [0.803571,0.761905] precision 0.8208354145854145 [0.765625,0.923077] precision 0.7419205909510618 [0.77193,0.684211] precision 0.7444626743232158 [0.792453,0.652174] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.75 predictive_accuracy 0.75 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 recall 0.8181818181818182 [0.9,0.666667] recall 0.7142857142857143 [0.88,0.407407] recall 0.7662337662337663 [0.9,0.518519] recall 0.6883116883116883 [0.9,0.296296] recall 0.7792207792207793 [0.88,0.592593] recall 0.8181818181818182 [0.9,0.666667] recall 0.7922077922077922 [0.9,0.592593] recall 0.7922077922077922 [0.98,0.444444] recall 0.75 [0.88,0.5] recall 0.75 [0.84,0.576923] relative_absolute_error 0.3995996589687507 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.5525759178123575 relative_absolute_error 0.5525759178123575 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 0.4264014327112209 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 1.0538074838671416 root_relative_squared_error 1.0538074838671416 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 usercpu_time_millis 41.006767001817934 usercpu_time_millis 40.23594899990712 usercpu_time_millis 39.782697003829526 usercpu_time_millis 41.9557050045114 usercpu_time_millis 41.09550999783096 usercpu_time_millis 41.65082800318487 usercpu_time_millis 39.11549799886416 usercpu_time_millis 41.53152100116131 usercpu_time_millis 44.168708998768125 usercpu_time_millis 41.38658000010764 usercpu_time_millis_testing 2.557864001573762 usercpu_time_millis_testing 2.486945002601715 usercpu_time_millis_testing 2.5386680026713293 usercpu_time_millis_testing 2.5130060021183454 usercpu_time_millis_testing 2.5345419999212027 usercpu_time_millis_testing 2.532687001803424 usercpu_time_millis_testing 2.535523999540601 usercpu_time_millis_testing 2.5525540004309732 usercpu_time_millis_testing 2.5165169972751755 usercpu_time_millis_testing 2.5151299996650778 usercpu_time_millis_training 38.44890300024417 usercpu_time_millis_training 37.74900399730541 usercpu_time_millis_training 37.2440290011582 usercpu_time_millis_training 39.442699002393056 usercpu_time_millis_training 38.560967997909756 usercpu_time_millis_training 39.118141001381446 usercpu_time_millis_training 36.579973999323556 usercpu_time_millis_training 38.978967000730336 usercpu_time_millis_training 41.65219200149295 usercpu_time_millis_training 38.871450000442564 wall_clock_time_millis 41.013240814208984 wall_clock_time_millis 40.242671966552734 wall_clock_time_millis 39.79063034057617 wall_clock_time_millis 41.963815689086914 wall_clock_time_millis 41.106224060058594 wall_clock_time_millis 41.66054725646973 wall_clock_time_millis 39.12496566772461 wall_clock_time_millis 41.541099548339844 wall_clock_time_millis 44.18134689331055 wall_clock_time_millis 41.39828681945801 wall_clock_time_millis_testing 2.5615692138671875 wall_clock_time_millis_testing 2.490520477294922 wall_clock_time_millis_testing 2.5429725646972656 wall_clock_time_millis_testing 2.5167465209960938 wall_clock_time_millis_testing 2.538919448852539 wall_clock_time_millis_testing 2.536296844482422 wall_clock_time_millis_testing 2.539396286010742 wall_clock_time_millis_testing 2.557516098022461 wall_clock_time_millis_testing 2.522706985473633 wall_clock_time_millis_testing 2.521038055419922 wall_clock_time_millis_training 38.4516716003418 wall_clock_time_millis_training 37.75215148925781 wall_clock_time_millis_training 37.247657775878906 wall_clock_time_millis_training 39.44706916809082 wall_clock_time_millis_training 38.567304611206055 wall_clock_time_millis_training 39.124250411987305 wall_clock_time_millis_training 36.58556938171387 wall_clock_time_millis_training 38.98358345031738 wall_clock_time_millis_training 41.658639907836914 wall_clock_time_millis_training 38.877248764038086