10559300 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) 8270332 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 2919.7665961619327 17495 cache_size 200 17495 class_weight null 17495 coef0 0.0 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 6.688334308406325 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 22043565 description https://api.openml.org/data/download/22043565/description.xml -1 22043566 predictions https://api.openml.org/data/download/22043566/predictions.arff area_under_roc_curve 0.6615410447761194 [0.661541,0.661541] average_cost 0 f_measure 0.5193554075512895 [0.78247,0.02847] kappa -0.003945604290365795 kb_relative_information_score 0.014871415713587091 mean_absolute_error 0.4457232026506717 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.64453125 [0.982,0.014925] number_of_instances 768 [500,268] precision 0.530764454915945 [0.650331,0.307692] predictive_accuracy 0.64453125 prior_entropy 0.9331348051619819 relative_absolute_error 0.9807077967596675 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4716307735378698 root_relative_squared_error 0.9894886306224691 total_cost 0 unweighted_recall 0.4984626865671642 [0.982,0.014925] area_under_roc_curve 0.7933333333333333 [0.793333,0.793333] area_under_roc_curve 0.6355555555555557 [0.635556,0.635556] area_under_roc_curve 0.7162962962962963 [0.716296,0.716296] area_under_roc_curve 0.6074074074074074 [0.607407,0.607407] area_under_roc_curve 0.6622222222222223 [0.662222,0.662222] area_under_roc_curve 0.6688888888888889 [0.668889,0.668889] area_under_roc_curve 0.7807407407407407 [0.780741,0.780741] area_under_roc_curve 0.7251851851851852 [0.725185,0.725185] area_under_roc_curve 0.7176923076923076 [0.717692,0.717692] area_under_roc_curve 0.7557692307692307 [0.755769,0.755769] 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 0.5404040404040404 [0.793651,0.071429] f_measure 0.5332736229287953 [0.784,0.068966] f_measure 0.5404040404040404 [0.793651,0.071429] f_measure 0.4987012987012987 [0.768,0] f_measure 0.505050505050505 [0.777778,0] f_measure 0.505050505050505 [0.777778,0] f_measure 0.4987012987012987 [0.768,0] f_measure 0.5157894736842106 [0.784,0] f_measure 0.5443851564394858 [0.790323,0.071429] kappa 0 kappa 0.04757373929590858 kappa 0.021647058823529533 kappa 0.04757373929590858 kappa -0.0508235294117646 kappa -0.025689819219790785 kappa -0.025689819219790785 kappa -0.0508235294117646 kappa -0.02599999999999991 kappa 0.023715415019762938 kb_relative_information_score 0.016068256142877203 kb_relative_information_score 0.022526827342965627 kb_relative_information_score 0.010292721780856556 kb_relative_information_score 0.02775227997178958 kb_relative_information_score 0.01768102482334043 kb_relative_information_score 0.0036588910684721442 kb_relative_information_score 0.019311956921397432 kb_relative_information_score 0.02122444389720697 kb_relative_information_score -0.002374634267966939 kb_relative_information_score 0.012151460981445837 mean_absolute_error 0.4479302406923375 mean_absolute_error 0.44431670101219584 mean_absolute_error 0.44714273702554463 mean_absolute_error 0.4399058640170059 mean_absolute_error 0.4419263092345353 mean_absolute_error 0.4505166417091607 mean_absolute_error 0.44515839759520676 mean_absolute_error 0.4435423338491846 mean_absolute_error 0.4511085656194389 mean_absolute_error 0.4457545830688142 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 0.7778537252221464 [0.657895,1] precision 0.5995670995670995 [0.653333,0.5] precision 0.7778537252221464 [0.657895,1] precision 0.4155844155844156 [0.64,0] precision 0.41866028708133973 [0.644737,0] precision 0.41866028708133973 [0.644737,0] precision 0.4155844155844156 [0.64,0] precision 0.4298245614035087 [0.653333,0] precision 0.6066856330014224 [0.662162,0.5] predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6447368421052632 predictive_accuracy 0.6578947368421052 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 0.9844602428234666 relative_absolute_error 0.9765184120922659 relative_absolute_error 0.9827294687416877 relative_absolute_error 0.9668242828175204 relative_absolute_error 0.9712648135269142 relative_absolute_error 0.9901446301270009 relative_absolute_error 0.9783682912636606 relative_absolute_error 0.9748165093938584 relative_absolute_error 0.9970869187207101 relative_absolute_error 0.985252991433259 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 0.47129355543615664 root_mean_squared_error 0.4723140155986909 root_mean_squared_error 0.46900619417916434 root_mean_squared_error 0.4700068982899502 root_mean_squared_error 0.47582142567568547 root_mean_squared_error 0.47831085397333223 root_mean_squared_error 0.4688286451460727 root_mean_squared_error 0.4701751161847519 root_mean_squared_error 0.47245931607403713 root_mean_squared_error 0.4679526223021896 root_relative_squared_error 0.9876742552963362 root_relative_squared_error 0.9898127997756001 root_relative_squared_error 0.9828807082596006 root_relative_squared_error 0.9849778506371953 root_relative_squared_error 0.9971631626139135 root_relative_squared_error 1.0023801748383145 root_relative_squared_error 0.9825086246462886 root_relative_squared_error 0.9853303792938243 root_relative_squared_error 0.9957623262031433 root_relative_squared_error 0.9862639509546025 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 0.5 [1,0] unweighted_recall 0.5185185185185185 [1,0.037037] unweighted_recall 0.5085185185185185 [0.98,0.037037] unweighted_recall 0.5185185185185185 [1,0.037037] unweighted_recall 0.48 [0.96,0] unweighted_recall 0.49 [0.98,0] unweighted_recall 0.49 [0.98,0] unweighted_recall 0.48 [0.96,0] unweighted_recall 0.49 [0.98,0] unweighted_recall 0.5092307692307693 [0.98,0.038462] usercpu_time_millis 158.60200000042823 usercpu_time_millis 166.3300000000163 usercpu_time_millis 158.56199999961973 usercpu_time_millis 167.15800000019954 usercpu_time_millis 160.10799999912706 usercpu_time_millis 156.59799999957613 usercpu_time_millis 157.31200000027457 usercpu_time_millis 158.59200000068086 usercpu_time_millis 150.83400000094116 usercpu_time_millis 151.76200000041717 usercpu_time_millis_testing 2.314000000296801 usercpu_time_millis_testing 2.2859999999127467 usercpu_time_millis_testing 2.4479999992763624 usercpu_time_millis_testing 2.3019999998723506 usercpu_time_millis_testing 2.357999999730964 usercpu_time_millis_testing 2.4080000002868474 usercpu_time_millis_testing 2.335999999559135 usercpu_time_millis_testing 2.3760000003676396 usercpu_time_millis_testing 2.5620000005801558 usercpu_time_millis_testing 4.466000000320491 usercpu_time_millis_training 156.28800000013143 usercpu_time_millis_training 164.04400000010355 usercpu_time_millis_training 156.11400000034337 usercpu_time_millis_training 164.85600000032719 usercpu_time_millis_training 157.7499999993961 usercpu_time_millis_training 154.18999999928928 usercpu_time_millis_training 154.97600000071543 usercpu_time_millis_training 156.21600000031322 usercpu_time_millis_training 148.272000000361 usercpu_time_millis_training 147.29600000009668 wall_clock_time_millis 81.04395866394043 wall_clock_time_millis 85.74080467224121 wall_clock_time_millis 81.34889602661133 wall_clock_time_millis 87.11004257202148 wall_clock_time_millis 82.44657516479492 wall_clock_time_millis 80.66701889038086 wall_clock_time_millis 80.38997650146484 wall_clock_time_millis 80.66344261169434 wall_clock_time_millis 77.3162841796875 wall_clock_time_millis 77.46696472167969 wall_clock_time_millis_testing 1.1589527130126953 wall_clock_time_millis_testing 1.1448860168457031 wall_clock_time_millis_testing 1.3251304626464844 wall_clock_time_millis_testing 1.1527538299560547 wall_clock_time_millis_testing 1.1818408966064453 wall_clock_time_millis_testing 1.207113265991211 wall_clock_time_millis_testing 1.1708736419677734 wall_clock_time_millis_testing 1.1928081512451172 wall_clock_time_millis_testing 1.4941692352294922 wall_clock_time_millis_testing 2.393960952758789 wall_clock_time_millis_training 79.88500595092773 wall_clock_time_millis_training 84.59591865539551 wall_clock_time_millis_training 80.02376556396484 wall_clock_time_millis_training 85.95728874206543 wall_clock_time_millis_training 81.26473426818848 wall_clock_time_millis_training 79.45990562438965 wall_clock_time_millis_training 79.21910285949707 wall_clock_time_millis_training 79.47063446044922 wall_clock_time_millis_training 75.82211494445801 wall_clock_time_millis_training 75.0730037689209 weighted_recall 0.6493506493506493 [1,0] weighted_recall 0.6623376623376623 [1,0.037037] weighted_recall 0.6493506493506493 [0.98,0.037037] weighted_recall 0.6623376623376623 [1,0.037037] weighted_recall 0.6233766233766234 [0.96,0] weighted_recall 0.6363636363636364 [0.98,0] weighted_recall 0.6363636363636364 [0.98,0] weighted_recall 0.6233766233766234 [0.96,0] weighted_recall 0.6447368421052632 [0.98,0] weighted_recall 0.6578947368421053 [0.98,0.038462]