10362778 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) 8218250 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 3174.1301819508567 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00012578168920674183 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 58599 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 21647258 description https://api.openml.org/data/download/21647258/description.xml -1 21647259 predictions https://api.openml.org/data/download/21647259/predictions.arff area_under_roc_curve 0.7201194029850746 [0.720119,0.720119] average_cost 0 f_measure 0.7621888407459325 [0.834586,0.627119] kappa 0.4660599165718621 kb_relative_information_score 0.475104839723144 mean_absolute_error 0.22916666666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7656880127937701 [0.787234,0.72549] predictive_accuracy 0.7708333333333333 prior_entropy 0.9331348051619819 recall 0.7708333333333334 [0.888,0.552239] 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 0.8103703703703704 [0.81037,0.81037] area_under_roc_curve 0.6237037037037036 [0.623704,0.623704] area_under_roc_curve 0.7277777777777777 [0.727778,0.727778] area_under_roc_curve 0.6637037037037036 [0.663704,0.663704] area_under_roc_curve 0.7548148148148148 [0.754815,0.754815] area_under_roc_curve 0.8003703703703704 [0.80037,0.80037] area_under_roc_curve 0.7177777777777776 [0.717778,0.717778] area_under_roc_curve 0.7492592592592593 [0.749259,0.749259] area_under_roc_curve 0.7000000000000001 [0.7,0.7] area_under_roc_curve 0.6507692307692308 [0.650769,0.650769] 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 0.8304118821585662 [0.871287,0.754717] f_measure 0.6727523684045422 [0.777778,0.478261] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.7170686456400742 [0.821429,0.52381] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.8181818181818181 [0.86,0.740741] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.801948051948052 [0.875,0.666667] f_measure 0.7503987240829346 [0.833333,0.590909] f_measure 0.699840248693925 [0.792453,0.521739] kappa 0.6260739633918567 kappa 0.2655007949125597 kappa 0.48444269397400563 kappa 0.36468646864686466 kappa 0.5276073619631902 kappa 0.6007407407407408 kappa 0.459016393442623 kappa 0.5552805280528054 kappa 0.4318936877076413 kappa 0.3192182410423453 kb_relative_information_score 0.6139280939002139 kb_relative_information_score 0.28725186566193417 kb_relative_information_score 0.4951367381772037 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.5842302549694612 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.5842302549694617 kb_relative_information_score 0.4539264351680107 kb_relative_information_score 0.33257675409423476 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23684210526315788 mean_absolute_error 0.2894736842105263 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 0.8299543593661242 [0.862745,0.769231] precision 0.6732269545336695 [0.724138,0.578947] precision 0.7756322624743677 [0.789474,0.75] precision 0.7389191453707582 [0.741935,0.733333] precision 0.788276136102223 [0.814815,0.73913] precision 0.8181818181818182 [0.86,0.740741] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8404692082111437 [0.790323,0.933333] precision 0.7575115950796532 [0.775862,0.722222] precision 0.6986842105263158 [0.75,0.6] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.763157894736842 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 recall 0.8311688311688312 [0.88,0.740741] recall 0.6883116883116883 [0.84,0.407407] recall 0.7792207792207793 [0.9,0.555556] recall 0.7402597402597403 [0.92,0.407407] recall 0.7922077922077922 [0.88,0.62963] recall 0.8181818181818182 [0.86,0.740741] recall 0.7662337662337663 [0.88,0.555556] recall 0.8181818181818182 [0.98,0.518519] recall 0.7631578947368421 [0.9,0.5] recall 0.7105263157894737 [0.84,0.461538] relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5234929747696018 relative_absolute_error 0.6398247469406244 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 0.5582905262390825 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.4866642633922876 root_mean_squared_error 0.5380275868489703 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.025700885786965 root_relative_squared_error 1.133954995096847 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 42.02032298780978 usercpu_time_millis 38.96936701494269 usercpu_time_millis 42.59554998134263 usercpu_time_millis 41.864401995553635 usercpu_time_millis 49.69182099739555 usercpu_time_millis 41.7216380010359 usercpu_time_millis 42.22924499481451 usercpu_time_millis 40.395768999587744 usercpu_time_millis 40.297011015354656 usercpu_time_millis 41.05637398606632 usercpu_time_millis_testing 2.7228589897276834 usercpu_time_millis_testing 2.516602005925961 usercpu_time_millis_testing 2.6243899919791147 usercpu_time_millis_testing 2.641946994117461 usercpu_time_millis_testing 7.341920994804241 usercpu_time_millis_testing 2.730544001678936 usercpu_time_millis_testing 2.609944000141695 usercpu_time_millis_testing 2.681553000002168 usercpu_time_millis_testing 2.578405008534901 usercpu_time_millis_testing 2.6219269930152223 usercpu_time_millis_training 39.297463998082094 usercpu_time_millis_training 36.45276500901673 usercpu_time_millis_training 39.971159989363514 usercpu_time_millis_training 39.222455001436174 usercpu_time_millis_training 42.34990000259131 usercpu_time_millis_training 38.99109399935696 usercpu_time_millis_training 39.61930099467281 usercpu_time_millis_training 37.714215999585576 usercpu_time_millis_training 37.718606006819755 usercpu_time_millis_training 38.4344469930511 wall_clock_time_millis 42.03486442565918 wall_clock_time_millis 38.98143768310547 wall_clock_time_millis 42.61183738708496 wall_clock_time_millis 41.88227653503418 wall_clock_time_millis 49.71194267272949 wall_clock_time_millis 41.733741760253906 wall_clock_time_millis 42.24395751953125 wall_clock_time_millis 40.41266441345215 wall_clock_time_millis 40.30966758728027 wall_clock_time_millis 41.074514389038086 wall_clock_time_millis_testing 2.732515335083008 wall_clock_time_millis_testing 2.5272369384765625 wall_clock_time_millis_testing 2.6352405548095703 wall_clock_time_millis_testing 2.652406692504883 wall_clock_time_millis_testing 7.352352142333984 wall_clock_time_millis_testing 2.7379989624023438 wall_clock_time_millis_testing 2.619028091430664 wall_clock_time_millis_testing 2.691984176635742 wall_clock_time_millis_testing 2.5870800018310547 wall_clock_time_millis_testing 2.6319026947021484 wall_clock_time_millis_training 39.30234909057617 wall_clock_time_millis_training 36.454200744628906 wall_clock_time_millis_training 39.97659683227539 wall_clock_time_millis_training 39.2298698425293 wall_clock_time_millis_training 42.35959053039551 wall_clock_time_millis_training 38.99574279785156 wall_clock_time_millis_training 39.624929428100586 wall_clock_time_millis_training 37.720680236816406 wall_clock_time_millis_training 37.72258758544922 wall_clock_time_millis_training 38.44261169433594