10327461 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) 8183128 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 1.5027812857125642 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6143697206439183 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.17254155143241814 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 31717 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 21576608 description https://api.openml.org/data/download/21576608/description.xml -1 21576609 predictions https://api.openml.org/data/download/21576609/predictions.arff area_under_roc_curve 0.9483333333333331 [0.953889,0.945556,0.9525,0.970278,0.9575,0.9125,0.939722,0.982222,0.899722,0.969444] average_cost 0 f_measure 0.9150092962543158 [0.715827,0.927461,0.950131,0.952141,0.955614,0.90411,0.933687,0.979695,0.886427,0.945] kappa 0.8966666666666667 kb_relative_information_score 0.9027445533778607 mean_absolute_error 0.018599999999999995 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.940872968157335 [0.558989,0.962366,1,0.959391,1,1,0.99435,0.994845,0.993789,0.945] predictive_accuracy 0.907 prior_entropy 3.3219280948872383 recall 0.907 [0.995,0.895,0.905,0.945,0.915,0.825,0.88,0.965,0.8,0.945] relative_absolute_error 0.10333333333333013 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.13638181696985854 root_relative_squared_error 0.4546060565661882 total_cost 0 area_under_roc_curve 0.9388888888888889 [0.941667,0.897222,0.95,0.975,0.975,0.975,0.9,0.975,0.8,1] area_under_roc_curve 0.9472222222222223 [0.952778,0.894444,1,0.975,0.95,0.925,0.925,1,0.875,0.975] area_under_roc_curve 0.9527777777777778 [0.958333,0.9,0.95,0.975,0.975,0.925,1,0.975,0.95,0.919444] area_under_roc_curve 0.9555555555555557 [0.963889,0.95,1,0.969444,0.95,0.875,0.925,1,0.95,0.972222] area_under_roc_curve 0.9416666666666668 [0.955556,0.997222,0.925,0.922222,0.95,0.925,0.95,0.947222,0.875,0.969444] area_under_roc_curve 0.9555555555555557 [0.963889,0.972222,0.95,1,0.975,0.925,0.925,1,0.872222,0.972222] area_under_roc_curve 0.9472222222222223 [0.930556,0.972222,0.95,0.944444,0.925,0.875,0.975,0.975,0.925,1] area_under_roc_curve 0.9444444444444444 [0.961111,0.972222,0.925,0.972222,0.95,0.85,0.95,0.975,0.925,0.963889] area_under_roc_curve 0.9583333333333333 [0.961111,0.925,0.925,0.997222,1,0.875,0.975,1,0.95,0.975] area_under_roc_curve 0.9416666666666665 [0.95,0.975,0.95,0.972222,0.925,0.975,0.872222,0.975,0.875,0.947222] 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 0.9004295777160316 [0.655738,0.864865,0.947368,0.974359,0.974359,0.974359,0.888889,0.974359,0.75,1] f_measure 0.9134926713874081 [0.701754,0.842105,1,0.974359,0.947368,0.918919,0.918919,1,0.857143,0.974359] f_measure 0.9224689172057593 [0.727273,0.888889,0.947368,0.974359,0.974359,0.918919,1,0.974359,0.947368,0.871795] f_measure 0.9249713288644429 [0.754717,0.947368,1,0.926829,0.947368,0.857143,0.918919,1,0.947368,0.95] f_measure 0.9024256040944101 [0.714286,0.97561,0.918919,0.894737,0.947368,0.918919,0.947368,0.923077,0.857143,0.926829] f_measure 0.9247615547714853 [0.754717,0.95,0.947368,1,0.974359,0.918919,0.918919,1,0.833333,0.95] f_measure 0.9131976155660366 [0.690909,0.95,0.947368,0.9,0.918919,0.857143,0.974359,0.974359,0.918919,1] f_measure 0.9054924737040079 [0.740741,0.95,0.918919,0.95,0.947368,0.823529,0.947368,0.974359,0.918919,0.883721] f_measure 0.9307417561589577 [0.740741,0.918919,0.918919,0.97561,1,0.857143,0.974359,1,0.947368,0.974359] f_measure 0.904257254901538 [0.689655,0.974359,0.947368,0.95,0.918919,0.974359,0.833333,0.974359,0.857143,0.923077] kappa 0.8777777777777778 kappa 0.8944444444444445 kappa 0.9055555555555556 kappa 0.9111111111111112 kappa 0.8833333333333333 kappa 0.9111111111111112 kappa 0.8944444444444445 kappa 0.888888888888889 kappa 0.9166666666666667 kappa 0.8833333333333333 kb_relative_information_score 0.8849666760383273 kb_relative_information_score 0.9006530383967372 kb_relative_information_score 0.9111106133023438 kb_relative_information_score 0.9163394007551472 kb_relative_information_score 0.8901954634911305 kb_relative_information_score 0.9163394007551472 kb_relative_information_score 0.9006530383967372 kb_relative_information_score 0.895424250943934 kb_relative_information_score 0.9215681882079505 kb_relative_information_score 0.8901954634911305 mean_absolute_error 0.022000000000000006 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.017000000000000005 mean_absolute_error 0.016000000000000004 mean_absolute_error 0.021000000000000005 mean_absolute_error 0.016000000000000004 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.015000000000000003 mean_absolute_error 0.021000000000000005 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 0.9428981348637016 [0.487805,0.941176,1,1,1,1,1,1,1,1] precision 0.942942942942943 [0.540541,0.888889,1,1,1,1,1,1,1,1] precision 0.9466165413533836 [0.571429,1,1,1,1,1,1,1,1,0.894737] precision 0.9460822510822511 [0.606061,1,1,0.904762,1,1,1,1,1,0.95] precision 0.9304511278195489 [0.555556,0.952381,1,0.944444,1,1,1,0.947368,1,0.904762] precision 0.9443560606060606 [0.606061,0.95,1,1,1,1,1,1,0.9375,0.95] precision 0.9392857142857143 [0.542857,0.95,1,0.9,1,1,1,1,1,1] precision 0.9314322250639385 [0.588235,0.95,1,0.95,1,1,1,1,1,0.826087] precision 0.95406162464986 [0.588235,1,1,0.952381,1,1,1,1,1,1] precision 0.9361184210526317 [0.526316,1,1,0.95,1,1,0.9375,1,1,0.947368] predictive_accuracy 0.89 predictive_accuracy 0.905 predictive_accuracy 0.915 predictive_accuracy 0.92 predictive_accuracy 0.895 predictive_accuracy 0.92 predictive_accuracy 0.905 predictive_accuracy 0.9 predictive_accuracy 0.925 predictive_accuracy 0.895 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 0.89 [1,0.8,0.9,0.95,0.95,0.95,0.8,0.95,0.6,1] recall 0.905 [1,0.8,1,0.95,0.9,0.85,0.85,1,0.75,0.95] recall 0.915 [1,0.8,0.9,0.95,0.95,0.85,1,0.95,0.9,0.85] recall 0.92 [1,0.9,1,0.95,0.9,0.75,0.85,1,0.9,0.95] recall 0.895 [1,1,0.85,0.85,0.9,0.85,0.9,0.9,0.75,0.95] recall 0.92 [1,0.95,0.9,1,0.95,0.85,0.85,1,0.75,0.95] recall 0.905 [0.95,0.95,0.9,0.9,0.85,0.75,0.95,0.95,0.85,1] recall 0.9 [1,0.95,0.85,0.95,0.9,0.7,0.9,0.95,0.85,0.95] recall 0.925 [1,0.85,0.85,1,1,0.75,0.95,1,0.9,0.95] recall 0.895 [1,0.95,0.9,0.95,0.85,0.95,0.75,0.95,0.75,0.9] relative_absolute_error 0.1222222222222224 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.09444444444444457 relative_absolute_error 0.088888888888889 relative_absolute_error 0.11666666666666682 relative_absolute_error 0.088888888888889 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.11111111111111127 relative_absolute_error 0.08333333333333344 relative_absolute_error 0.11666666666666682 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 0.14832396974191328 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.130384048104053 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.1449137674618944 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.14142135623730953 root_mean_squared_error 0.12247448713915891 root_mean_squared_error 0.1449137674618944 root_relative_squared_error 0.49441323247304453 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.4346134936801769 root_relative_squared_error 0.42163702135578424 root_relative_squared_error 0.48304589153964833 root_relative_squared_error 0.42163702135578424 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.47140452079103207 root_relative_squared_error 0.40824829046386335 root_relative_squared_error 0.48304589153964833 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 804.5036339972285 usercpu_time_millis 810.1958090046537 usercpu_time_millis 810.9488319969387 usercpu_time_millis 801.0470879962668 usercpu_time_millis 809.264939998684 usercpu_time_millis 807.4120940000284 usercpu_time_millis 800.4889619987807 usercpu_time_millis 792.3499390017241 usercpu_time_millis 796.894102000806 usercpu_time_millis 802.1803740048199 usercpu_time_millis_testing 36.41546899598325 usercpu_time_millis_testing 36.30570800305577 usercpu_time_millis_testing 36.49734299688134 usercpu_time_millis_testing 36.247065996576566 usercpu_time_millis_testing 36.26491400063969 usercpu_time_millis_testing 36.20230800152058 usercpu_time_millis_testing 35.68889899906935 usercpu_time_millis_testing 35.56843299884349 usercpu_time_millis_testing 36.04518200154416 usercpu_time_millis_testing 36.166265002975706 usercpu_time_millis_training 768.0881650012452 usercpu_time_millis_training 773.8901010015979 usercpu_time_millis_training 774.4514890000573 usercpu_time_millis_training 764.8000219996902 usercpu_time_millis_training 773.0000259980443 usercpu_time_millis_training 771.2097859985079 usercpu_time_millis_training 764.8000629997114 usercpu_time_millis_training 756.7815060028806 usercpu_time_millis_training 760.8489199992619 usercpu_time_millis_training 766.0141090018442 wall_clock_time_millis 804.877758026123 wall_clock_time_millis 810.5618953704834 wall_clock_time_millis 811.3985061645508 wall_clock_time_millis 889.1141414642334 wall_clock_time_millis 809.3376159667969 wall_clock_time_millis 807.5168132781982 wall_clock_time_millis 864.5820617675781 wall_clock_time_millis 792.4346923828125 wall_clock_time_millis 941.0169124603271 wall_clock_time_millis 802.2541999816895 wall_clock_time_millis_testing 36.47613525390625 wall_clock_time_millis_testing 36.319732666015625 wall_clock_time_millis_testing 36.51714324951172 wall_clock_time_millis_testing 36.26084327697754 wall_clock_time_millis_testing 36.27824783325195 wall_clock_time_millis_testing 36.216020584106445 wall_clock_time_millis_testing 35.718441009521484 wall_clock_time_millis_testing 35.5832576751709 wall_clock_time_millis_testing 36.05818748474121 wall_clock_time_millis_testing 36.180973052978516 wall_clock_time_millis_training 768.4016227722168 wall_clock_time_millis_training 774.2421627044678 wall_clock_time_millis_training 774.8813629150391 wall_clock_time_millis_training 852.8532981872559 wall_clock_time_millis_training 773.0593681335449 wall_clock_time_millis_training 771.3007926940918 wall_clock_time_millis_training 828.8636207580566 wall_clock_time_millis_training 756.8514347076416 wall_clock_time_millis_training 904.9587249755859 wall_clock_time_millis_training 766.0732269287109