10362781 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) 8218253 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 8.537098039116069 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.014430579841442782 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 37898 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 21647264 description https://api.openml.org/data/download/21647264/description.xml -1 21647265 predictions https://api.openml.org/data/download/21647265/predictions.arff area_under_roc_curve 0.7166567164179104 [0.716657,0.716657] average_cost 0 f_measure 0.7607490564419283 [0.835821,0.62069] kappa 0.46211638864128374 kb_relative_information_score 0.475104839723144 mean_absolute_error 0.22916666666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7662843109271682 [0.783217,0.734694] predictive_accuracy 0.7708333333333333 prior_entropy 0.9331348051619819 recall 0.7708333333333334 [0.896,0.537313] relative_absolute_error 0.5042266936540084 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47871355387816905 root_relative_squared_error 1.0043484129207072 total_cost 0 area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.6437037037037037 [0.643704,0.643704] area_under_roc_curve 0.7092592592592593 [0.709259,0.709259] area_under_roc_curve 0.6081481481481481 [0.608148,0.608148] area_under_roc_curve 0.7362962962962963 [0.736296,0.736296] area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.7177777777777776 [0.717778,0.717778] area_under_roc_curve 0.7492592592592593 [0.749259,0.749259] area_under_roc_curve 0.7092307692307692 [0.709231,0.709231] area_under_roc_curve 0.6892307692307691 [0.689231,0.689231] 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 0.8286619148983513 [0.873786,0.745098] f_measure 0.6948051948051948 [0.8,0.5] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.6633366633366634 [0.8,0.410256] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.8286619148983513 [0.873786,0.745098] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.801948051948052 [0.875,0.666667] f_measure 0.7544147489313932 [0.830189,0.608696] f_measure 0.7309379217273955 [0.807692,0.583333] kappa 0.619536297985557 kappa 0.31417004048582997 kappa 0.44912559618441983 kappa 0.24798301486199587 kappa 0.4936170212765959 kappa 0.619536297985557 kappa 0.459016393442623 kappa 0.5552805280528054 kappa 0.4429967426710099 kappa 0.39297124600638966 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.4951367381772036 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.5842302549694617 kb_relative_information_score 0.45392643516801073 kb_relative_information_score 0.3932515946311228 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23684210526315788 mean_absolute_error 0.2631578947368421 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 0.8289328595932369 [0.849057,0.791667] precision 0.7030812324929973 [0.733333,0.647059] precision 0.7621797440309238 [0.775862,0.736842] precision 0.6933066933066934 [0.707692,0.666667] precision 0.7744982290436836 [0.8,0.727273] precision 0.8289328595932369 [0.849057,0.791667] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8404692082111437 [0.790323,0.933333] precision 0.756390977443609 [0.785714,0.7] precision 0.7293992557150453 [0.777778,0.636364] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.763157894736842 predictive_accuracy 0.736842105263158 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 0.8311688311688312 [0.9,0.703704] recall 0.7142857142857143 [0.88,0.407407] recall 0.7662337662337663 [0.9,0.518519] recall 0.7012987012987013 [0.92,0.296296] recall 0.7792207792207793 [0.88,0.592593] recall 0.8311688311688312 [0.9,0.703704] recall 0.7662337662337663 [0.88,0.555556] recall 0.8181818181818182 [0.98,0.518519] recall 0.7631578947368421 [0.88,0.538462] recall 0.7368421052631579 [0.84,0.538462] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5234929747696018 relative_absolute_error 0.581658860855113 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 0.4108907018066591 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.4866642633922876 root_mean_squared_error 0.512989176042577 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.025700885786965 root_relative_squared_error 1.0811836657130123 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 35.31438298523426 usercpu_time_millis 34.837932005757466 usercpu_time_millis 35.233718997915275 usercpu_time_millis 35.38985800696537 usercpu_time_millis 35.48656801285688 usercpu_time_millis 36.53051999572199 usercpu_time_millis 40.60793401731644 usercpu_time_millis 35.56377500353847 usercpu_time_millis 35.69311500177719 usercpu_time_millis 34.55214700079523 usercpu_time_millis_testing 2.8503149951575324 usercpu_time_millis_testing 2.7633910067379475 usercpu_time_millis_testing 2.7406040026107803 usercpu_time_millis_testing 2.7534730033949018 usercpu_time_millis_testing 2.758747010375373 usercpu_time_millis_testing 2.8662099939538166 usercpu_time_millis_testing 2.8400620067259297 usercpu_time_millis_testing 2.800524001941085 usercpu_time_millis_testing 2.7748849970521405 usercpu_time_millis_testing 2.6455479965079576 usercpu_time_millis_training 32.46406799007673 usercpu_time_millis_training 32.07454099901952 usercpu_time_millis_training 32.493114995304495 usercpu_time_millis_training 32.63638500357047 usercpu_time_millis_training 32.727821002481505 usercpu_time_millis_training 33.66431000176817 usercpu_time_millis_training 37.76787201059051 usercpu_time_millis_training 32.76325100159738 usercpu_time_millis_training 32.91823000472505 usercpu_time_millis_training 31.906599004287273 wall_clock_time_millis 35.33124923706055 wall_clock_time_millis 34.85417366027832 wall_clock_time_millis 36.228179931640625 wall_clock_time_millis 35.40778160095215 wall_clock_time_millis 35.50219535827637 wall_clock_time_millis 37.01591491699219 wall_clock_time_millis 40.62628746032715 wall_clock_time_millis 35.578012466430664 wall_clock_time_millis 35.71057319641113 wall_clock_time_millis 34.56854820251465 wall_clock_time_millis_testing 2.860546112060547 wall_clock_time_millis_testing 2.774953842163086 wall_clock_time_millis_testing 3.7283897399902344 wall_clock_time_millis_testing 2.7658939361572266 wall_clock_time_millis_testing 2.767801284790039 wall_clock_time_millis_testing 2.8765201568603516 wall_clock_time_millis_testing 2.8524398803710938 wall_clock_time_millis_testing 2.809286117553711 wall_clock_time_millis_testing 2.786874771118164 wall_clock_time_millis_testing 2.6559829711914062 wall_clock_time_millis_training 32.470703125 wall_clock_time_millis_training 32.079219818115234 wall_clock_time_millis_training 32.49979019165039 wall_clock_time_millis_training 32.64188766479492 wall_clock_time_millis_training 32.73439407348633 wall_clock_time_millis_training 34.139394760131836 wall_clock_time_millis_training 37.773847579956055 wall_clock_time_millis_training 32.76872634887695 wall_clock_time_millis_training 32.92369842529297 wall_clock_time_millis_training 31.912565231323242