10367418 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) 8222770 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 9103.28464106573 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.005482385663458846 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 33732 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 21656541 description https://api.openml.org/data/download/21656541/description.xml -1 21656542 predictions https://api.openml.org/data/download/21656542/predictions.arff area_under_roc_curve 0.6977910447761194 [0.697791,0.697791] average_cost 0 f_measure 0.7393584280303029 [0.816288,0.595833] kappa 0.4157359769105283 kb_relative_information_score 0.4214223801493749 mean_absolute_error 0.2526041666666667 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7400566575041854 [0.77518,0.674528] predictive_accuracy 0.7473958333333333 prior_entropy 0.9331348051619819 recall 0.7473958333333334 [0.862,0.533582] relative_absolute_error 0.555795332777714 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5025974200756175 root_relative_squared_error 1.0544571322487641 total_cost 0 area_under_roc_curve 0.7462962962962963 [0.746296,0.746296] area_under_roc_curve 0.5851851851851851 [0.585185,0.585185] area_under_roc_curve 0.7718518518518519 [0.771852,0.771852] area_under_roc_curve 0.6081481481481481 [0.608148,0.608148] area_under_roc_curve 0.6892592592592592 [0.689259,0.689259] area_under_roc_curve 0.7262962962962963 [0.726296,0.726296] area_under_roc_curve 0.6892592592592592 [0.689259,0.689259] area_under_roc_curve 0.7748148148148148 [0.774815,0.774815] area_under_roc_curve 0.6407692307692309 [0.640769,0.640769] area_under_roc_curve 0.7469230769230769 [0.746923,0.746923] 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 0.7851016907620681 [0.849057,0.666667] f_measure 0.6347083022366379 [0.747664,0.425532] f_measure 0.7922077922077921 [0.84,0.703704] f_measure 0.6633366633366634 [0.8,0.410256] f_measure 0.7313771134525852 [0.811321,0.583333] f_measure 0.7613786213786213 [0.826923,0.64] f_measure 0.7313771134525852 [0.811321,0.583333] f_measure 0.8119639794168095 [0.867925,0.708333] f_measure 0.6884765104249988 [0.780952,0.510638] f_measure 0.7752301545944068 [0.831683,0.666667] kappa 0.5191256830601093 kappa 0.18117369042930287 kappa 0.5437037037037038 kappa 0.24798301486199587 kappa 0.3989071038251366 kappa 0.468558282208589 kappa 0.3989071038251366 kappa 0.5792349726775957 kappa 0.29516129032258054 kappa 0.498447204968944 kb_relative_information_score 0.5248345771079561 kb_relative_information_score 0.19815834886967557 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.5842302549694616 kb_relative_information_score 0.30223933382579077 kb_relative_information_score 0.4842638554364544 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.3026315789473684 mean_absolute_error 0.2236842105263158 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 0.788961038961039 [0.803571,0.761905] precision 0.6310093415356572 [0.701754,0.5] precision 0.7922077922077922 [0.84,0.703704] precision 0.6933066933066934 [0.707692,0.666667] precision 0.7323747680890539 [0.767857,0.666667] precision 0.7610055001359349 [0.796296,0.695652] precision 0.7323747680890539 [0.767857,0.666667] precision 0.8172541743970315 [0.821429,0.809524] precision 0.6859193438140806 [0.745455,0.571429] precision 0.7744272445820433 [0.823529,0.68] predictive_accuracy 0.7922077922077922 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.6973684210526316 predictive_accuracy 0.7763157894736843 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 0.7922077922077922 [0.9,0.592593] recall 0.6493506493506493 [0.8,0.37037] recall 0.7922077922077922 [0.84,0.703704] recall 0.7012987012987013 [0.92,0.296296] recall 0.7402597402597403 [0.86,0.518519] recall 0.7662337662337663 [0.86,0.592593] recall 0.7402597402597403 [0.86,0.518519] recall 0.8181818181818182 [0.92,0.62963] recall 0.6973684210526315 [0.82,0.461538] recall 0.7763157894736842 [0.84,0.653846] relative_absolute_error 0.45668532453571503 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.66890768998338 relative_absolute_error 0.4944100317268461 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 0.4558423058385518 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.5501196042201808 root_mean_squared_error 0.47295265146345866 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.159440311898513 root_relative_squared_error 0.9968020872540012 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 416.0889980000775 usercpu_time_millis 451.00919900005465 usercpu_time_millis 525.9755900001437 usercpu_time_millis 1072.4827789999836 usercpu_time_millis 331.40021700000943 usercpu_time_millis 419.08956099973693 usercpu_time_millis 271.4617039998757 usercpu_time_millis 420.69429299976946 usercpu_time_millis 268.61093799993796 usercpu_time_millis 341.34369899993544 usercpu_time_millis_testing 1.4841780000551807 usercpu_time_millis_testing 1.5257820000442734 usercpu_time_millis_testing 2.609300000131043 usercpu_time_millis_testing 2.4365740000575897 usercpu_time_millis_testing 1.5356249998603744 usercpu_time_millis_testing 1.5128299999105366 usercpu_time_millis_testing 1.480357999980697 usercpu_time_millis_testing 1.5044229999148229 usercpu_time_millis_testing 1.4771379999274359 usercpu_time_millis_testing 1.5057529999467079 usercpu_time_millis_training 414.6048200000223 usercpu_time_millis_training 449.4834170000104 usercpu_time_millis_training 523.3662900000127 usercpu_time_millis_training 1070.046204999926 usercpu_time_millis_training 329.86459200014906 usercpu_time_millis_training 417.5767309998264 usercpu_time_millis_training 269.981345999895 usercpu_time_millis_training 419.18986999985464 usercpu_time_millis_training 267.1338000000105 usercpu_time_millis_training 339.83794599998873 wall_clock_time_millis 416.1059856414795 wall_clock_time_millis 451.2295722961426 wall_clock_time_millis 528.062105178833 wall_clock_time_millis 1072.5314617156982 wall_clock_time_millis 331.5389156341553 wall_clock_time_millis 420.20678520202637 wall_clock_time_millis 271.4953422546387 wall_clock_time_millis 421.02956771850586 wall_clock_time_millis 268.8114643096924 wall_clock_time_millis 341.6633605957031 wall_clock_time_millis_testing 1.4867782592773438 wall_clock_time_millis_testing 1.5289783477783203 wall_clock_time_millis_testing 2.6154518127441406 wall_clock_time_millis_testing 2.4394989013671875 wall_clock_time_millis_testing 1.5377998352050781 wall_clock_time_millis_testing 1.5153884887695312 wall_clock_time_millis_testing 1.4834403991699219 wall_clock_time_millis_testing 1.506805419921875 wall_clock_time_millis_testing 1.4791488647460938 wall_clock_time_millis_testing 1.523733139038086 wall_clock_time_millis_training 414.61920738220215 wall_clock_time_millis_training 449.70059394836426 wall_clock_time_millis_training 525.4466533660889 wall_clock_time_millis_training 1070.091962814331 wall_clock_time_millis_training 330.0011157989502 wall_clock_time_millis_training 418.69139671325684 wall_clock_time_millis_training 270.01190185546875 wall_clock_time_millis_training 419.522762298584 wall_clock_time_millis_training 267.3323154449463 wall_clock_time_millis_training 340.13962745666504