10559313 8323 Heinrich Peters 37 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270502 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 memory null 17494 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"}}] 17494 verbose false 17494 C 2.6420113048794582 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.5273436479076765 17495 decision_function_shape "ovr" 17495 degree 5 17495 gamma 0.0019341495605253744 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22043591 description https://api.openml.org/data/download/22043591/description.xml -1 22043592 predictions https://api.openml.org/data/download/22043592/predictions.arff area_under_roc_curve 0.8311417910447761 [0.831142,0.831142] average_cost 0 f_measure 0.7647216480710824 [0.834437,0.634656] kappa 0.4724777844066944 kb_relative_information_score 0.3261062039557458 mean_absolute_error 0.31335799735436126 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7721354166666666 [0.882,0.567164] number_of_instances 768 [500,268] precision 0.7668389940893015 [0.791741,0.720379] predictive_accuracy 0.7721354166666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.6894696739026813 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.3961591541385383 root_relative_squared_error 0.8311480101194507 total_cost 0 unweighted_recall 0.7245820895522388 [0.882,0.567164] area_under_roc_curve 0.9207407407407407 [0.920741,0.920741] area_under_roc_curve 0.7355555555555555 [0.735556,0.735556] area_under_roc_curve 0.8688888888888889 [0.868889,0.868889] area_under_roc_curve 0.8303703703703704 [0.83037,0.83037] area_under_roc_curve 0.8088888888888889 [0.808889,0.808889] area_under_roc_curve 0.894074074074074 [0.894074,0.894074] area_under_roc_curve 0.8044444444444444 [0.804444,0.804444] area_under_roc_curve 0.8555555555555556 [0.855556,0.855556] area_under_roc_curve 0.8438461538461538 [0.843846,0.843846] area_under_roc_curve 0.7776923076923077 [0.777692,0.777692] 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 0.8318509773055228 [0.868687,0.763636] f_measure 0.6776525361431022 [0.773585,0.5] f_measure 0.7851016907620681 [0.849057,0.666667] f_measure 0.6997233286894414 [0.814159,0.487805] f_measure 0.7662575956153937 [0.844037,0.622222] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7613786213786213 [0.826923,0.64] f_measure 0.7937567020135827 [0.862385,0.666667] f_measure 0.7847503373819164 [0.846154,0.666667] f_measure 0.699840248693925 [0.792453,0.521739] kappa 0.6323907455012855 kappa 0.2786885245901639 kappa 0.5191256830601093 kappa 0.326530612244898 kappa 0.47492980344965907 kappa 0.6260739633918567 kappa 0.468558282208589 kappa 0.5367027677496993 kappa 0.5143769968051118 kappa 0.3192182410423453 kb_relative_information_score 0.4410887897662194 kb_relative_information_score 0.2211936743056283 kb_relative_information_score 0.3374472018223058 kb_relative_information_score 0.2919174691154625 kb_relative_information_score 0.31402273453288515 kb_relative_information_score 0.37232402297924927 kb_relative_information_score 0.3303437422686048 kb_relative_information_score 0.3520027369932521 kb_relative_information_score 0.32940848560615144 kb_relative_information_score 0.2702042625411815 mean_absolute_error 0.26976617474259257 mean_absolute_error 0.35108298190034337 mean_absolute_error 0.3129099427881291 mean_absolute_error 0.3240391958868153 mean_absolute_error 0.3219864226996991 mean_absolute_error 0.2988934037408397 mean_absolute_error 0.3113898687647051 mean_absolute_error 0.30517504086626723 mean_absolute_error 0.30818896019964037 mean_absolute_error 0.3303008891578087 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 0.8328253379273788 [0.877551,0.75] precision 0.6757884972170686 [0.732143,0.571429] precision 0.788961038961039 [0.803571,0.761905] precision 0.7245928674500103 [0.730159,0.714286] precision 0.7790006603565925 [0.779661,0.777778] precision 0.8299543593661242 [0.862745,0.769231] precision 0.7610055001359349 [0.796296,0.695652] precision 0.8094871230464451 [0.79661,0.833333] precision 0.7848662059188376 [0.814815,0.727273] precision 0.6986842105263158 [0.75,0.6] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.7105263157894737 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 0.5928915928564441 relative_absolute_error 0.771609519104101 relative_absolute_error 0.6877128853433722 relative_absolute_error 0.7121727369288378 relative_absolute_error 0.7076611558685226 relative_absolute_error 0.6569073621156676 relative_absolute_error 0.6843720695058509 relative_absolute_error 0.6707131324076421 relative_absolute_error 0.6811911901678094 relative_absolute_error 0.7300652679224556 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 0.3411869594070273 root_mean_squared_error 0.4572710838663654 root_mean_squared_error 0.38552715945398436 root_mean_squared_error 0.40662518955355215 root_mean_squared_error 0.3969070240594082 root_mean_squared_error 0.3590930057242569 root_mean_squared_error 0.40752614028525364 root_mean_squared_error 0.3814692929719974 root_mean_squared_error 0.3922258095295783 root_mean_squared_error 0.4222040184512717 root_relative_squared_error 0.7150141820575051 root_relative_squared_error 0.9582878272296708 root_relative_squared_error 0.8079364670239104 root_relative_squared_error 0.8521509081645832 root_relative_squared_error 0.8317848714204727 root_relative_squared_error 0.7525392887721613 root_relative_squared_error 0.8540390006978419 root_relative_squared_error 0.7994325309750091 root_relative_squared_error 0.8266609868962352 root_relative_squared_error 0.8898435087254617 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 0.8188888888888889 [0.86,0.777778] unweighted_recall 0.6322222222222222 [0.82,0.444444] unweighted_recall 0.7462962962962962 [0.9,0.592593] unweighted_recall 0.6451851851851852 [0.92,0.37037] unweighted_recall 0.7192592592592593 [0.92,0.518519] unweighted_recall 0.8103703703703704 [0.88,0.740741] unweighted_recall 0.7262962962962962 [0.86,0.592593] unweighted_recall 0.7477777777777778 [0.94,0.555556] unweighted_recall 0.7476923076923077 [0.88,0.615385] unweighted_recall 0.6507692307692308 [0.84,0.461538] usercpu_time_millis 71.01199999942764 usercpu_time_millis 68.7740000003032 usercpu_time_millis 75.98200000029465 usercpu_time_millis 71.52200000018638 usercpu_time_millis 71.00600000012491 usercpu_time_millis 70.98399999904359 usercpu_time_millis 70.89800000085233 usercpu_time_millis 73.11600000048202 usercpu_time_millis 73.5979999999472 usercpu_time_millis 69.59200000073906 usercpu_time_millis_testing 1.8019999997704872 usercpu_time_millis_testing 1.7740000002959277 usercpu_time_millis_testing 1.863999999841326 usercpu_time_millis_testing 2.058000000033644 usercpu_time_millis_testing 1.8079999999827123 usercpu_time_millis_testing 1.9939999992857338 usercpu_time_millis_testing 1.9340000008014613 usercpu_time_millis_testing 1.7880000004879548 usercpu_time_millis_testing 1.706000000012864 usercpu_time_millis_testing 1.6940000004979083 usercpu_time_millis_training 69.20999999965716 usercpu_time_millis_training 67.00000000000728 usercpu_time_millis_training 74.11800000045332 usercpu_time_millis_training 69.46400000015274 usercpu_time_millis_training 69.1980000001422 usercpu_time_millis_training 68.98999999975786 usercpu_time_millis_training 68.96400000005087 usercpu_time_millis_training 71.32799999999406 usercpu_time_millis_training 71.89199999993434 usercpu_time_millis_training 67.89800000024115 wall_clock_time_millis 36.36288642883301 wall_clock_time_millis 35.18795967102051 wall_clock_time_millis 48.32029342651367 wall_clock_time_millis 35.86697578430176 wall_clock_time_millis 36.04388236999512 wall_clock_time_millis 36.23199462890625 wall_clock_time_millis 36.80300712585449 wall_clock_time_millis 48.87509346008301 wall_clock_time_millis 37.26363182067871 wall_clock_time_millis 35.005807876586914 wall_clock_time_millis_testing 0.9047985076904297 wall_clock_time_millis_testing 0.8919239044189453 wall_clock_time_millis_testing 0.9362697601318359 wall_clock_time_millis_testing 1.0418891906738281 wall_clock_time_millis_testing 0.9069442749023438 wall_clock_time_millis_testing 1.146078109741211 wall_clock_time_millis_testing 1.1200904846191406 wall_clock_time_millis_testing 0.8969306945800781 wall_clock_time_millis_testing 0.8549690246582031 wall_clock_time_millis_testing 0.8487701416015625 wall_clock_time_millis_training 35.45808792114258 wall_clock_time_millis_training 34.29603576660156 wall_clock_time_millis_training 47.384023666381836 wall_clock_time_millis_training 34.82508659362793 wall_clock_time_millis_training 35.13693809509277 wall_clock_time_millis_training 35.08591651916504 wall_clock_time_millis_training 35.68291664123535 wall_clock_time_millis_training 47.97816276550293 wall_clock_time_millis_training 36.40866279602051 wall_clock_time_millis_training 34.15703773498535 weighted_recall 0.8311688311688312 [0.86,0.777778] weighted_recall 0.6883116883116883 [0.82,0.444444] weighted_recall 0.7922077922077922 [0.9,0.592593] weighted_recall 0.7272727272727273 [0.92,0.37037] weighted_recall 0.7792207792207793 [0.92,0.518519] weighted_recall 0.8311688311688312 [0.88,0.740741] weighted_recall 0.7662337662337663 [0.86,0.592593] weighted_recall 0.8051948051948052 [0.94,0.555556] weighted_recall 0.7894736842105263 [0.88,0.615385] weighted_recall 0.7105263157894737 [0.84,0.461538]