10327457 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) 8183124 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 578.238763147937 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.8557464430199619 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 2.478182233168571e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 60776 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 21576600 description https://api.openml.org/data/download/21576600/description.xml -1 21576601 predictions https://api.openml.org/data/download/21576601/predictions.arff area_under_roc_curve 0.9802777777777777 [0.991667,0.981667,0.989444,0.975833,0.986111,0.962778,0.986667,0.985,0.968056,0.975556] average_cost 0 f_measure 0.9645747445641931 [0.985,0.9375,0.984925,0.962217,0.975,0.944162,0.979899,0.965347,0.951899,0.959799] kappa 0.9605555555555556 kb_relative_information_score 0.9628756090850972 mean_absolute_error 0.007099999999999991 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9650462668021519 [0.985,0.902778,0.989899,0.969543,0.975,0.958763,0.984848,0.955882,0.964103,0.964646] predictive_accuracy 0.9645 prior_entropy 3.3219280948872383 recall 0.9645 [0.985,0.975,0.98,0.955,0.975,0.93,0.975,0.975,0.94,0.955] relative_absolute_error 0.03944444444444318 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.08426149773176353 root_relative_squared_error 0.28087165910587414 total_cost 0 area_under_roc_curve 0.9777777777777777 [0.972222,0.988889,1,0.972222,1,0.975,0.975,0.997222,0.897222,1] area_under_roc_curve 0.9833333333333334 [1,0.972222,1,0.975,0.975,0.972222,0.994444,0.972222,1,0.972222] area_under_roc_curve 0.986111111111111 [0.997222,0.975,0.994444,1,1,0.975,1,0.95,0.975,0.994444] area_under_roc_curve 0.9805555555555557 [0.972222,0.988889,1,0.95,0.975,0.975,1,0.997222,0.997222,0.95] area_under_roc_curve 0.9666666666666666 [1,0.991667,0.95,0.947222,0.994444,0.944444,0.975,0.969444,0.919444,0.975] area_under_roc_curve 0.9833333333333334 [1,0.966667,1,0.975,0.95,0.975,1,0.997222,0.997222,0.972222] area_under_roc_curve 0.9805555555555554 [0.975,0.969444,0.975,0.994444,0.997222,0.922222,1,0.997222,0.975,1] area_under_roc_curve 0.9805555555555556 [1,0.997222,0.975,0.997222,0.994444,0.947222,0.975,1,0.925,0.994444] area_under_roc_curve 0.9833333333333333 [1,0.972222,1,0.972222,1,0.969444,1,0.994444,1,0.925] area_under_roc_curve 0.9805555555555554 [1,0.994444,1,0.975,0.975,0.972222,0.947222,0.975,0.994444,0.972222] 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 0.9598283478771283 [0.95,0.909091,1,0.95,1,0.974359,0.974359,0.97561,0.864865,1] f_measure 0.9701098901098901 [1,0.95,1,0.974359,0.974359,0.95,0.952381,0.95,1,0.95] f_measure 0.975081700498902 [0.97561,0.974359,0.952381,1,1,0.974359,1,0.947368,0.974359,0.952381] f_measure 0.9653765212109242 [0.95,0.909091,1,0.947368,0.974359,0.974359,1,0.97561,0.97561,0.947368] f_measure 0.9400400943455545 [1,0.930233,0.947368,0.923077,0.952381,0.9,0.974359,0.926829,0.871795,0.974359] f_measure 0.9702067786727605 [1,0.904762,1,0.974359,0.947368,0.974359,1,0.97561,0.97561,0.95] f_measure 0.9648243498050942 [0.974359,0.926829,0.974359,0.952381,0.97561,0.894737,1,0.97561,0.974359,1] f_measure 0.9646695207670818 [1,0.97561,0.974359,0.97561,0.952381,0.923077,0.974359,1,0.918919,0.952381] f_measure 0.9698129139592554 [1,0.95,1,0.95,1,0.926829,1,0.952381,1,0.918919] f_measure 0.9650915750915751 [1,0.952381,1,0.974359,0.974359,0.95,0.923077,0.974359,0.952381,0.95] kappa 0.9555555555555555 kappa 0.9666666666666667 kappa 0.9722222222222222 kappa 0.961111111111111 kappa 0.9333333333333332 kappa 0.9666666666666667 kappa 0.961111111111111 kappa 0.961111111111111 kappa 0.9666666666666667 kappa 0.961111111111111 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9372545505663603 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.963398487830377 mean_absolute_error 0.008 mean_absolute_error 0.006 mean_absolute_error 0.005 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.012 mean_absolute_error 0.006 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.006 mean_absolute_error 0.006999999999999999 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 0.9626890756302521 [0.95,0.833333,1,0.95,1,1,1,0.952381,0.941176,1] precision 0.9709090909090909 [1,0.95,1,1,1,0.95,0.909091,0.95,1,0.95] precision 0.9770562770562771 [0.952381,1,0.909091,1,1,1,1,1,1,0.909091] precision 0.9688095238095238 [0.95,0.833333,1,1,1,1,1,0.952381,0.952381,1] precision 0.9425523294402014 [1,0.869565,1,0.947368,0.909091,0.9,1,0.904762,0.894737,1] precision 0.9718398268398267 [1,0.863636,1,1,1,1,1,0.952381,0.952381,0.95] precision 0.9663059163059162 [1,0.904762,1,0.909091,0.952381,0.944444,1,0.952381,1,1] precision 0.9670312143996356 [1,0.952381,1,0.952381,0.909091,0.947368,1,1,1,0.909091] precision 0.9713852813852815 [1,0.95,1,0.95,1,0.904762,1,0.909091,1,1] precision 0.9665550239234451 [1,0.909091,1,1,1,0.95,0.947368,1,0.909091,0.95] predictive_accuracy 0.96 predictive_accuracy 0.97 predictive_accuracy 0.975 predictive_accuracy 0.965 predictive_accuracy 0.94 predictive_accuracy 0.97 predictive_accuracy 0.965 predictive_accuracy 0.965 predictive_accuracy 0.97 predictive_accuracy 0.965 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 0.96 [0.95,1,1,0.95,1,0.95,0.95,1,0.8,1] recall 0.97 [1,0.95,1,0.95,0.95,0.95,1,0.95,1,0.95] recall 0.975 [1,0.95,1,1,1,0.95,1,0.9,0.95,1] recall 0.965 [0.95,1,1,0.9,0.95,0.95,1,1,1,0.9] recall 0.94 [1,1,0.9,0.9,1,0.9,0.95,0.95,0.85,0.95] recall 0.97 [1,0.95,1,0.95,0.9,0.95,1,1,1,0.95] recall 0.965 [0.95,0.95,0.95,1,1,0.85,1,1,0.95,1] recall 0.965 [1,1,0.95,1,1,0.9,0.95,1,0.85,1] recall 0.97 [1,0.95,1,0.95,1,0.95,1,1,1,0.85] recall 0.965 [1,1,1,0.95,0.95,0.95,0.9,0.95,1,0.95] relative_absolute_error 0.0444444444444445 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.06666666666666674 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.03888888888888893 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 0.08944271909999159 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.10954451150103323 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.08366600265340755 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.36514837167011094 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.27888667551135865 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 230.1729989994783 usercpu_time_millis 228.92670799046755 usercpu_time_millis 229.80435300269164 usercpu_time_millis 229.01317299692892 usercpu_time_millis 222.97410199826118 usercpu_time_millis 229.48213299241615 usercpu_time_millis 232.62193700065836 usercpu_time_millis 231.9595009976183 usercpu_time_millis 236.1188989962102 usercpu_time_millis 231.70742399815936 usercpu_time_millis_testing 23.990800000319723 usercpu_time_millis_testing 23.59132599667646 usercpu_time_millis_testing 23.361382001894526 usercpu_time_millis_testing 24.226105997513514 usercpu_time_millis_testing 23.274777995538898 usercpu_time_millis_testing 23.499236995121464 usercpu_time_millis_testing 23.97678600391373 usercpu_time_millis_testing 23.699673998635262 usercpu_time_millis_testing 23.8215700010187 usercpu_time_millis_testing 23.465521000616718 usercpu_time_millis_training 206.18219899915857 usercpu_time_millis_training 205.3353819937911 usercpu_time_millis_training 206.44297100079712 usercpu_time_millis_training 204.7870669994154 usercpu_time_millis_training 199.69932400272228 usercpu_time_millis_training 205.9828959972947 usercpu_time_millis_training 208.64515099674463 usercpu_time_millis_training 208.25982699898304 usercpu_time_millis_training 212.2973289951915 usercpu_time_millis_training 208.24190299754264 wall_clock_time_millis 262.1958255767822 wall_clock_time_millis 228.9583683013916 wall_clock_time_millis 229.88033294677734 wall_clock_time_millis 333.07743072509766 wall_clock_time_millis 223.01769256591797 wall_clock_time_millis 261.5039348602295 wall_clock_time_millis 232.70916938781738 wall_clock_time_millis 232.00440406799316 wall_clock_time_millis 236.15455627441406 wall_clock_time_millis 231.73975944519043 wall_clock_time_millis_testing 24.003028869628906 wall_clock_time_millis_testing 23.60248565673828 wall_clock_time_millis_testing 23.372888565063477 wall_clock_time_millis_testing 24.239063262939453 wall_clock_time_millis_testing 23.287534713745117 wall_clock_time_millis_testing 23.51093292236328 wall_clock_time_millis_testing 23.98991584777832 wall_clock_time_millis_testing 23.712873458862305 wall_clock_time_millis_testing 23.8344669342041 wall_clock_time_millis_testing 23.476839065551758 wall_clock_time_millis_training 238.19279670715332 wall_clock_time_millis_training 205.35588264465332 wall_clock_time_millis_training 206.50744438171387 wall_clock_time_millis_training 308.8383674621582 wall_clock_time_millis_training 199.73015785217285 wall_clock_time_millis_training 237.9930019378662 wall_clock_time_millis_training 208.71925354003906 wall_clock_time_millis_training 208.29153060913086 wall_clock_time_millis_training 212.32008934020996 wall_clock_time_millis_training 208.26292037963867