10327021 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182689 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 4.983344593111613 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2508604778138088 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.003475742080788654 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 14564 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21575728 description https://api.openml.org/data/download/21575728/description.xml -1 21575729 predictions https://api.openml.org/data/download/21575729/predictions.arff area_under_roc_curve 0.9838888888888889 [0.994444,0.990556,0.991944,0.9775,0.992222,0.963056,0.984167,0.988333,0.981111,0.975556] average_cost 0 f_measure 0.9710213624213506 [0.99,0.956522,0.987469,0.957606,0.98995,0.946565,0.97733,0.975124,0.969849,0.959799] kappa 0.9677777777777777 kb_relative_information_score 0.9696730327737414 mean_absolute_error 0.005799999999999995 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9713549881799198 [0.99,0.925234,0.98995,0.955224,0.994949,0.963731,0.984772,0.970297,0.974747,0.964646] predictive_accuracy 0.971 prior_entropy 3.3219280948872383 recall 0.971 [0.99,0.99,0.985,0.96,0.985,0.93,0.97,0.98,0.965,0.955] relative_absolute_error 0.0322222222222212 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.07615773105863906 root_relative_squared_error 0.253859103528793 total_cost 0 area_under_roc_curve 0.9861111111111112 [0.997222,0.991667,1,0.997222,1,0.975,0.975,1,0.925,1] area_under_roc_curve 0.9805555555555557 [1,0.975,1,0.972222,1,0.944444,0.969444,0.972222,1,0.972222] area_under_roc_curve 0.9888888888888888 [1,0.997222,0.997222,0.975,1,0.975,1,0.975,0.997222,0.972222] area_under_roc_curve 0.9888888888888888 [1,0.994444,0.997222,0.975,0.975,0.975,1,1,1,0.972222] area_under_roc_curve 0.9805555555555554 [0.997222,0.997222,0.95,0.944444,1,0.975,1,0.969444,1,0.972222] area_under_roc_curve 0.9833333333333332 [1,0.969444,1,0.975,0.975,0.95,1,0.997222,0.994444,0.972222] area_under_roc_curve 0.9861111111111112 [0.975,0.997222,0.975,0.994444,1,0.947222,1,0.997222,0.975,1] area_under_roc_curve 0.9861111111111112 [0.975,0.994444,1,1,0.997222,0.975,0.975,1,0.947222,0.997222] area_under_roc_curve 0.9805555555555554 [1,0.997222,1,0.969444,1,0.941667,0.975,0.997222,1,0.925] area_under_roc_curve 0.9777777777777777 [1,0.991667,1,0.972222,0.975,0.972222,0.947222,0.975,0.972222,0.972222] 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 0.9749088937971524 [0.97561,0.930233,1,0.97561,1,0.974359,0.974359,1,0.918919,1] f_measure 0.9651188242651658 [1,0.974359,1,0.95,1,0.9,0.926829,0.95,1,0.95] f_measure 0.9799906191369605 [1,0.97561,0.97561,0.974359,1,0.974359,1,0.974359,0.97561,0.95] f_measure 0.9801067631555438 [1,0.952381,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95] f_measure 0.9649776175899412 [0.97561,0.97561,0.947368,0.9,1,0.974359,1,0.926829,1,0.95] f_measure 0.9700906346541776 [1,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.952381,0.95] f_measure 0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1] f_measure 0.9749754310729919 [0.974359,0.952381,1,1,0.97561,0.974359,0.974359,1,0.923077,0.97561] f_measure 0.9649375454253503 [1,0.97561,1,0.926829,1,0.878049,0.974359,0.97561,1,0.918919] f_measure 0.9602027429934407 [1,0.930233,1,0.95,0.974359,0.95,0.923077,0.974359,0.95,0.95] kappa 0.9722222222222222 kappa 0.961111111111111 kappa 0.9777777777777777 kappa 0.9777777777777777 kappa 0.961111111111111 kappa 0.9666666666666667 kappa 0.9722222222222222 kappa 0.9722222222222222 kappa 0.961111111111111 kappa 0.9555555555555555 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9581697003775735 mean_absolute_error 0.005 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.004 mean_absolute_error 0.004 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.006 mean_absolute_error 0.005 mean_absolute_error 0.005 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.008 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.977432712215321 [0.952381,0.869565,1,0.952381,1,1,1,1,1,1] precision 0.9654761904761905 [1,1,1,0.95,1,0.9,0.904762,0.95,1,0.95] precision 0.9807142857142856 [1,0.952381,0.952381,1,1,1,1,1,0.952381,0.95] precision 0.9811471861471861 [1,0.909091,0.952381,1,1,1,1,1,1,0.95] precision 0.965952380952381 [0.952381,0.952381,1,0.9,1,1,1,0.904762,1,0.95] precision 0.9716233766233766 [1,0.904762,1,1,1,1,1,0.952381,0.909091,0.95] precision 0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1] precision 0.9761221234905445 [1,0.909091,1,1,0.952381,1,1,1,0.947368,0.952381] precision 0.9666666666666666 [1,0.952381,1,0.904762,1,0.857143,1,0.952381,1,1] precision 0.9616933638443936 [1,0.869565,1,0.95,1,0.95,0.947368,1,0.95,0.95] predictive_accuracy 0.975 predictive_accuracy 0.965 predictive_accuracy 0.98 predictive_accuracy 0.98 predictive_accuracy 0.965 predictive_accuracy 0.97 predictive_accuracy 0.975 predictive_accuracy 0.975 predictive_accuracy 0.965 predictive_accuracy 0.96 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.975 [1,1,1,1,1,0.95,0.95,1,0.85,1] recall 0.965 [1,0.95,1,0.95,1,0.9,0.95,0.95,1,0.95] recall 0.98 [1,1,1,0.95,1,0.95,1,0.95,1,0.95] recall 0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95] recall 0.965 [1,1,0.9,0.9,1,0.95,1,0.95,1,0.95] recall 0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95] recall 0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1] recall 0.975 [0.95,1,1,1,1,0.95,0.95,1,0.9,1] recall 0.965 [1,1,1,0.95,1,0.9,0.95,1,1,0.85] recall 0.96 [1,1,1,0.95,0.95,0.95,0.9,0.95,0.95,0.95] relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.0444444444444445 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.08944271909999159 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.29814239699997214 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 300.912573999085 usercpu_time_millis 291.1526860043523 usercpu_time_millis 291.16491899912944 usercpu_time_millis 290.9505080024246 usercpu_time_millis 286.8796120019397 usercpu_time_millis 294.0576300024986 usercpu_time_millis 292.0101799973054 usercpu_time_millis 296.9463379995432 usercpu_time_millis 290.80038399843033 usercpu_time_millis 292.35648400208447 usercpu_time_millis_testing 27.43855999869993 usercpu_time_millis_testing 26.803518005181104 usercpu_time_millis_testing 26.83761499793036 usercpu_time_millis_testing 26.792572003614623 usercpu_time_millis_testing 26.687584999308456 usercpu_time_millis_testing 26.928425999358296 usercpu_time_millis_testing 27.19603399600601 usercpu_time_millis_testing 26.990518999809865 usercpu_time_millis_testing 26.955510998959653 usercpu_time_millis_testing 26.818017999175936 usercpu_time_millis_training 273.47401400038507 usercpu_time_millis_training 264.3491679991712 usercpu_time_millis_training 264.3273040011991 usercpu_time_millis_training 264.15793599881 usercpu_time_millis_training 260.1920270026312 usercpu_time_millis_training 267.12920400314033 usercpu_time_millis_training 264.8141460012994 usercpu_time_millis_training 269.9558189997333 usercpu_time_millis_training 263.8448729994707 usercpu_time_millis_training 265.53846600290854 wall_clock_time_millis 381.02221488952637 wall_clock_time_millis 291.26739501953125 wall_clock_time_millis 291.290283203125 wall_clock_time_millis 291.03589057922363 wall_clock_time_millis 286.96680068969727 wall_clock_time_millis 294.20924186706543 wall_clock_time_millis 292.1633720397949 wall_clock_time_millis 297.0738410949707 wall_clock_time_millis 290.90166091918945 wall_clock_time_millis 292.44399070739746 wall_clock_time_millis_testing 27.452707290649414 wall_clock_time_millis_testing 26.819229125976562 wall_clock_time_millis_testing 26.85093879699707 wall_clock_time_millis_testing 26.80516242980957 wall_clock_time_millis_testing 26.700735092163086 wall_clock_time_millis_testing 26.94106101989746 wall_clock_time_millis_testing 27.229785919189453 wall_clock_time_millis_testing 27.00352668762207 wall_clock_time_millis_testing 26.990890502929688 wall_clock_time_millis_testing 26.831626892089844 wall_clock_time_millis_training 353.56950759887695 wall_clock_time_millis_training 264.4481658935547 wall_clock_time_millis_training 264.43934440612793 wall_clock_time_millis_training 264.23072814941406 wall_clock_time_millis_training 260.2660655975342 wall_clock_time_millis_training 267.26818084716797 wall_clock_time_millis_training 264.93358612060547 wall_clock_time_millis_training 270.07031440734863 wall_clock_time_millis_training 263.91077041625977 wall_clock_time_millis_training 265.6123638153076