10327037 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) 8182705 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 0.655523576885994 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5042146248891441 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.004535572329647122 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 7900 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 21575760 description https://api.openml.org/data/download/21575760/description.xml -1 21575761 predictions https://api.openml.org/data/download/21575761/predictions.arff area_under_roc_curve 0.9797222222222222 [0.986667,0.989167,0.989167,0.9725,0.986111,0.958056,0.983889,0.983056,0.975833,0.972778] average_cost 0 f_measure 0.9635466372648236 [0.979899,0.945107,0.982456,0.952381,0.975,0.941176,0.974874,0.967581,0.962217,0.954774] kappa 0.9594444444444444 kb_relative_information_score 0.9618298515945366 mean_absolute_error 0.00729999999999999 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9641118567647501 [0.984848,0.90411,0.984925,0.954774,0.975,0.963351,0.979798,0.965174,0.969543,0.959596] predictive_accuracy 0.9634999999999999 prior_entropy 3.3219280948872383 recall 0.9635 [0.975,0.99,0.98,0.95,0.975,0.92,0.97,0.97,0.955,0.95] relative_absolute_error 0.04055555555555425 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.08544003745317526 root_relative_squared_error 0.28480012484391315 total_cost 0 area_under_roc_curve 0.9750000000000001 [0.972222,0.991667,1,0.947222,1,0.975,0.972222,0.997222,0.894444,1] area_under_roc_curve 0.9777777777777777 [1,0.972222,1,0.972222,0.975,0.944444,0.969444,0.972222,1,0.972222] area_under_roc_curve 0.9861111111111112 [1,0.997222,0.994444,0.975,1,0.972222,1,0.95,1,0.972222] area_under_roc_curve 0.9861111111111112 [0.975,0.991667,0.997222,0.975,0.975,0.975,1,1,1,0.972222] area_under_roc_curve 0.9638888888888887 [0.997222,0.994444,0.925,0.944444,0.969444,0.947222,0.975,0.944444,0.972222,0.969444] area_under_roc_curve 0.9833333333333334 [0.997222,0.969444,1,0.975,0.975,0.95,1,0.997222,0.997222,0.972222] area_under_roc_curve 0.9833333333333334 [0.975,0.991667,0.975,0.997222,1,0.947222,1,0.997222,0.975,0.975] area_under_roc_curve 0.9861111111111112 [0.975,0.997222,1,1,0.994444,0.975,0.975,1,0.947222,0.997222] area_under_roc_curve 0.9805555555555554 [0.975,0.994444,1,0.969444,0.997222,0.947222,1,0.997222,1,0.925] area_under_roc_curve 0.975 [1,0.991667,1,0.969444,0.975,0.947222,0.947222,0.975,0.972222,0.972222] 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 0.9545383474830887 [0.95,0.930233,1,0.923077,1,0.974359,0.95,0.97561,0.842105,1] f_measure 0.9601188242651658 [1,0.95,1,0.95,0.974359,0.9,0.926829,0.95,1,0.95] f_measure 0.9749718103890119 [1,0.97561,0.952381,0.974359,1,0.95,1,0.947368,1,0.95] f_measure 0.9753278211672993 [0.974359,0.930233,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95] f_measure 0.9348004061418694 [0.97561,0.952381,0.918919,0.9,0.926829,0.923077,0.974359,0.9,0.95,0.926829] f_measure 0.9699744906355946 [0.97561,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.97561,0.95] f_measure 0.9701964890847475 [0.974359,0.930233,0.974359,0.97561,1,0.923077,1,0.97561,0.974359,0.974359] f_measure 0.9749754310729919 [0.974359,0.97561,1,1,0.952381,0.974359,0.974359,1,0.923077,0.97561] f_measure 0.9646784549223574 [0.974359,0.952381,1,0.926829,0.97561,0.923077,1,0.97561,1,0.918919] f_measure 0.9551933621304012 [1,0.930233,1,0.926829,0.974359,0.923077,0.923077,0.974359,0.95,0.95] kappa 0.95 kappa 0.9555555555555555 kappa 0.9722222222222222 kappa 0.9722222222222222 kappa 0.9277777777777778 kappa 0.9666666666666667 kappa 0.9666666666666667 kappa 0.9722222222222222 kappa 0.961111111111111 kappa 0.95 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9320257631135571 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9529409129247703 mean_absolute_error 0.009 mean_absolute_error 0.008 mean_absolute_error 0.005 mean_absolute_error 0.005 mean_absolute_error 0.013000000000000001 mean_absolute_error 0.006 mean_absolute_error 0.006 mean_absolute_error 0.005 mean_absolute_error 0.006999999999999999 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 0.9558203479713776 [0.95,0.869565,1,0.947368,1,1,0.95,0.952381,0.888889,1] precision 0.9604761904761905 [1,0.95,1,0.95,1,0.9,0.904762,0.95,1,0.95] precision 0.9761471861471861 [1,0.952381,0.909091,1,1,0.95,1,1,1,0.95] precision 0.9771946169772256 [1,0.869565,0.952381,1,1,1,1,1,1,0.95] precision 0.9368364092048302 [0.952381,0.909091,1,0.9,0.904762,0.947368,1,0.9,0.95,0.904762] precision 0.971190476190476 [0.952381,0.904762,1,1,1,1,1,0.952381,0.952381,0.95] precision 0.9721695543205839 [1,0.869565,1,0.952381,1,0.947368,1,0.952381,1,1] precision 0.9761221234905445 [1,0.952381,1,1,0.909091,1,1,1,0.947368,0.952381] precision 0.966598313966735 [1,0.909091,1,0.904762,0.952381,0.947368,1,0.952381,1,1] precision 0.9569063964258473 [1,0.869565,1,0.904762,1,0.947368,0.947368,1,0.95,0.95] predictive_accuracy 0.955 predictive_accuracy 0.96 predictive_accuracy 0.975 predictive_accuracy 0.975 predictive_accuracy 0.935 predictive_accuracy 0.97 predictive_accuracy 0.97 predictive_accuracy 0.975 predictive_accuracy 0.965 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 0.955 [0.95,1,1,0.9,1,0.95,0.95,1,0.8,1] recall 0.96 [1,0.95,1,0.95,0.95,0.9,0.95,0.95,1,0.95] recall 0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95] recall 0.975 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.95] recall 0.935 [1,1,0.85,0.9,0.95,0.9,0.95,0.9,0.95,0.95] recall 0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95] recall 0.97 [0.95,1,0.95,1,1,0.9,1,1,0.95,0.95] recall 0.975 [0.95,1,1,1,1,0.95,0.95,1,0.9,1] recall 0.965 [0.95,1,1,0.95,1,0.9,1,1,1,0.85] recall 0.955 [1,1,1,0.95,0.95,0.9,0.9,0.95,0.95,0.95] relative_absolute_error 0.05000000000000005 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.0722222222222223 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03888888888888893 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 0.09486832980505137 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.1140175425099138 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.09486832980505137 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.3800584750330463 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.27888667551135865 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 348.6067399935564 usercpu_time_millis 354.13571699609747 usercpu_time_millis 351.97648899338674 usercpu_time_millis 350.62175300117815 usercpu_time_millis 356.16330100310734 usercpu_time_millis 359.2970099998638 usercpu_time_millis 354.5582850056235 usercpu_time_millis 352.56559000117704 usercpu_time_millis 360.59238700545393 usercpu_time_millis 351.5280499996152 usercpu_time_millis_testing 35.78696599288378 usercpu_time_millis_testing 36.1035850000917 usercpu_time_millis_testing 36.0041280000587 usercpu_time_millis_testing 35.92584300349699 usercpu_time_millis_testing 38.01042400300503 usercpu_time_millis_testing 35.94761000567814 usercpu_time_millis_testing 35.80161200079601 usercpu_time_millis_testing 35.99091700016288 usercpu_time_millis_testing 38.64335500111338 usercpu_time_millis_testing 36.088863998884335 usercpu_time_millis_training 312.8197740006726 usercpu_time_millis_training 318.0321319960058 usercpu_time_millis_training 315.97236099332804 usercpu_time_millis_training 314.69590999768116 usercpu_time_millis_training 318.1528770001023 usercpu_time_millis_training 323.34939999418566 usercpu_time_millis_training 318.75667300482746 usercpu_time_millis_training 316.57467300101416 usercpu_time_millis_training 321.94903200434055 usercpu_time_millis_training 315.43918600073084 wall_clock_time_millis 380.6495666503906 wall_clock_time_millis 354.189395904541 wall_clock_time_millis 352.0183563232422 wall_clock_time_millis 350.66676139831543 wall_clock_time_millis 356.2018871307373 wall_clock_time_millis 359.33923721313477 wall_clock_time_millis 354.6028137207031 wall_clock_time_millis 352.61082649230957 wall_clock_time_millis 360.63098907470703 wall_clock_time_millis 351.56989097595215 wall_clock_time_millis_testing 35.800933837890625 wall_clock_time_millis_testing 36.13138198852539 wall_clock_time_millis_testing 36.01837158203125 wall_clock_time_millis_testing 35.94088554382324 wall_clock_time_millis_testing 38.0246639251709 wall_clock_time_millis_testing 35.96138954162598 wall_clock_time_millis_testing 35.81595420837402 wall_clock_time_millis_testing 36.006927490234375 wall_clock_time_millis_testing 38.65814208984375 wall_clock_time_millis_testing 36.1027717590332 wall_clock_time_millis_training 344.8486328125 wall_clock_time_millis_training 318.0580139160156 wall_clock_time_millis_training 315.99998474121094 wall_clock_time_millis_training 314.7258758544922 wall_clock_time_millis_training 318.1772232055664 wall_clock_time_millis_training 323.3778476715088 wall_clock_time_millis_training 318.7868595123291 wall_clock_time_millis_training 316.6038990020752 wall_clock_time_millis_training 321.9728469848633 wall_clock_time_millis_training 315.46711921691895