10327409 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) 8183076 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 36.08550842537873 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.045747192972740616 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 5310 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 21576504 description https://api.openml.org/data/download/21576504/description.xml -1 21576505 predictions https://api.openml.org/data/download/21576505/predictions.arff area_under_roc_curve 0.9816666666666667 [0.9775,0.990278,0.9875,0.970556,0.989722,0.973333,0.981944,0.981944,0.9875,0.976389] average_cost 0 f_measure 0.9673284764350121 [0.976982,0.97284,0.987342,0.954545,0.987406,0.940887,0.977215,0.977215,0.931765,0.967089] kappa 0.9633333333333333 kb_relative_information_score 0.9654900028114989 mean_absolute_error 0.006599999999999992 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.968634400690361 [1,0.960976,1,0.964286,0.994924,0.927184,0.989744,0.989744,0.88,0.979487] predictive_accuracy 0.9670000000000001 prior_entropy 3.3219280948872383 recall 0.967 [0.955,0.985,0.975,0.945,0.98,0.955,0.965,0.965,0.99,0.955] relative_absolute_error 0.036666666666665494 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.08124038404635955 root_relative_squared_error 0.2708012801545277 total_cost 0 area_under_roc_curve 0.9833333333333333 [0.95,0.991667,1,1,1,0.972222,0.975,1,0.944444,1] area_under_roc_curve 0.9833333333333334 [0.975,0.975,1,1,1,0.966667,0.972222,0.975,0.997222,0.972222] area_under_roc_curve 0.9749999999999999 [0.95,0.975,0.975,0.922222,1,0.994444,1,0.95,0.983333,1] area_under_roc_curve 0.9833333333333333 [0.975,0.997222,1,0.975,0.975,0.975,0.997222,1,0.988889,0.95] area_under_roc_curve 0.9722222222222223 [1,0.994444,0.95,0.941667,0.975,0.975,1,0.922222,0.991667,0.972222] area_under_roc_curve 0.9888888888888888 [1,0.997222,1,0.975,0.975,0.969444,0.975,1,0.997222,1] area_under_roc_curve 0.9916666666666667 [0.975,1,0.975,0.997222,1,0.975,1,1,0.994444,1] area_under_roc_curve 0.9861111111111112 [0.975,1,1,0.975,0.997222,0.969444,0.975,1,0.997222,0.972222] area_under_roc_curve 0.9777777777777779 [0.975,0.972222,1,0.972222,1,0.966667,0.975,0.997222,0.994444,0.925] area_under_roc_curve 0.975 [1,1,0.975,0.947222,0.975,0.969444,0.95,0.975,0.986111,0.972222] 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 0.970195995355114 [0.947368,0.930233,1,1,1,0.95,0.974359,1,0.9,1] f_measure 0.9703448583936388 [0.974359,0.974359,1,1,1,0.904762,0.95,0.974359,0.97561,0.95] f_measure 0.9560137802700731 [0.947368,0.974359,0.974359,0.894737,1,0.952381,1,0.947368,0.869565,1] f_measure 0.970511473977456 [0.974359,0.97561,1,0.974359,0.974359,0.974359,0.97561,1,0.909091,0.947368] f_measure 0.9501485502884135 [1,0.952381,0.947368,0.878049,0.974359,0.974359,1,0.894737,0.930233,0.95] f_measure 0.9801125703564728 [1,0.97561,1,0.974359,0.974359,0.926829,0.974359,1,0.97561,1] f_measure 0.9851067631555437 [0.974359,1,0.974359,0.97561,1,0.974359,1,1,0.952381,1] f_measure 0.9751125703564728 [0.974359,1,1,0.974359,0.97561,0.926829,0.974359,1,0.97561,0.95] f_measure 0.9600389480877284 [0.974359,0.95,1,0.95,1,0.904762,0.974359,0.97561,0.952381,0.918919] f_measure 0.9559240424388049 [1,1,0.974359,0.923077,0.974359,0.926829,0.947368,0.974359,0.888889,0.95] kappa 0.9666666666666667 kappa 0.9666666666666667 kappa 0.95 kappa 0.9666666666666667 kappa 0.9444444444444444 kappa 0.9777777777777777 kappa 0.9833333333333333 kappa 0.9722222222222222 kappa 0.9555555555555555 kappa 0.95 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9477121254719669 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9843136376415902 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9529409129247703 mean_absolute_error 0.006 mean_absolute_error 0.006 mean_absolute_error 0.009 mean_absolute_error 0.006 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.004 mean_absolute_error 0.0030000000000000005 mean_absolute_error 0.005 mean_absolute_error 0.008 mean_absolute_error 0.009 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 0.9719565217391305 [1,0.869565,1,1,1,0.95,1,1,0.9,1] precision 0.9716017316017316 [1,1,1,1,1,0.863636,0.95,1,0.952381,0.95] precision 0.9622766122766123 [1,1,1,0.944444,1,0.909091,1,1,0.769231,1] precision 0.9738095238095238 [1,0.952381,1,1,1,1,0.952381,1,0.833333,1] precision 0.9530243428069515 [1,0.909091,1,0.857143,1,1,1,0.944444,0.869565,0.95] precision 0.9809523809523809 [1,0.952381,1,1,1,0.904762,1,1,0.952381,1] precision 0.9861471861471861 [1,1,1,0.952381,1,1,1,1,0.909091,1] precision 0.9759523809523809 [1,1,1,1,0.952381,0.904762,1,1,0.952381,0.95] precision 0.9625108225108225 [1,0.95,1,0.95,1,0.863636,1,0.952381,0.909091,1] precision 0.9602130325814536 [1,1,1,0.947368,1,0.904762,1,1,0.8,0.95] predictive_accuracy 0.97 predictive_accuracy 0.97 predictive_accuracy 0.955 predictive_accuracy 0.97 predictive_accuracy 0.95 predictive_accuracy 0.98 predictive_accuracy 0.985 predictive_accuracy 0.975 predictive_accuracy 0.96 predictive_accuracy 0.955 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 0.97 [0.9,1,1,1,1,0.95,0.95,1,0.9,1] recall 0.97 [0.95,0.95,1,1,1,0.95,0.95,0.95,1,0.95] recall 0.955 [0.9,0.95,0.95,0.85,1,1,1,0.9,1,1] recall 0.97 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.9] recall 0.95 [1,1,0.9,0.9,0.95,0.95,1,0.85,1,0.95] recall 0.98 [1,1,1,0.95,0.95,0.95,0.95,1,1,1] recall 0.985 [0.95,1,0.95,1,1,0.95,1,1,1,1] recall 0.975 [0.95,1,1,0.95,1,0.95,0.95,1,1,0.95] recall 0.96 [0.95,0.95,1,0.95,1,0.95,0.95,1,1,0.85] recall 0.955 [1,1,0.95,0.9,0.95,0.95,0.9,0.95,1,0.95] relative_absolute_error 0.03333333333333337 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.05000000000000005 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.055555555555555615 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.016666666666666687 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.05000000000000005 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 0.07745966692414834 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.05477225575051661 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.09486832980505137 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.3333333333333335 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.18257418583505547 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.31622776601683816 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 1003.4527340030763 usercpu_time_millis 1013.3679999999003 usercpu_time_millis 1004.6505959981005 usercpu_time_millis 1003.7475119970622 usercpu_time_millis 999.9640520036337 usercpu_time_millis 1001.4641870002379 usercpu_time_millis 1004.5385729972622 usercpu_time_millis 1011.056011004257 usercpu_time_millis 1021.9884449979872 usercpu_time_millis 996.9969090088853 usercpu_time_millis_testing 48.54122600227129 usercpu_time_millis_testing 49.020443999324925 usercpu_time_millis_testing 48.25308299768949 usercpu_time_millis_testing 48.85672799719032 usercpu_time_millis_testing 48.37041599967051 usercpu_time_millis_testing 48.46123300376348 usercpu_time_millis_testing 51.02468599943677 usercpu_time_millis_testing 49.2254109994974 usercpu_time_millis_testing 48.7721590034198 usercpu_time_millis_testing 49.03453300357796 usercpu_time_millis_training 954.911508000805 usercpu_time_millis_training 964.3475560005754 usercpu_time_millis_training 956.397513000411 usercpu_time_millis_training 954.8907839998719 usercpu_time_millis_training 951.5936360039632 usercpu_time_millis_training 953.0029539964744 usercpu_time_millis_training 953.5138869978255 usercpu_time_millis_training 961.8306000047596 usercpu_time_millis_training 973.2162859945674 usercpu_time_millis_training 947.9623760053073 wall_clock_time_millis 1215.5704498291016 wall_clock_time_millis 1220.0217247009277 wall_clock_time_millis 1160.7613563537598 wall_clock_time_millis 1243.8247203826904 wall_clock_time_millis 1080.0466537475586 wall_clock_time_millis 1177.5617599487305 wall_clock_time_millis 1219.0580368041992 wall_clock_time_millis 1139.164686203003 wall_clock_time_millis 1022.1648216247559 wall_clock_time_millis 1301.2051582336426 wall_clock_time_millis_testing 48.55656623840332 wall_clock_time_millis_testing 49.035072326660156 wall_clock_time_millis_testing 48.26831817626953 wall_clock_time_millis_testing 96.87232971191406 wall_clock_time_millis_testing 64.38350677490234 wall_clock_time_millis_testing 48.47574234008789 wall_clock_time_millis_testing 89.47372436523438 wall_clock_time_millis_testing 49.241065979003906 wall_clock_time_millis_testing 48.78687858581543 wall_clock_time_millis_testing 49.048662185668945 wall_clock_time_millis_training 1167.0138835906982 wall_clock_time_millis_training 1170.9866523742676 wall_clock_time_millis_training 1112.4930381774902 wall_clock_time_millis_training 1146.9523906707764 wall_clock_time_millis_training 1015.6631469726562 wall_clock_time_millis_training 1129.0860176086426 wall_clock_time_millis_training 1129.5843124389648 wall_clock_time_millis_training 1089.923620223999 wall_clock_time_millis_training 973.3779430389404 wall_clock_time_millis_training 1252.1564960479736