10327475 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) 8183142 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 14323.47583138456 13389 cache_size 200 13389 class_weight null 13389 coef0 0.19270740154340582 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 1.3587589842430956e-05 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 39176 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 21576636 description https://api.openml.org/data/download/21576636/description.xml -1 21576637 predictions https://api.openml.org/data/download/21576637/predictions.arff area_under_roc_curve 0.975 [0.9925,0.970278,0.989444,0.971944,0.985833,0.956667,0.986111,0.977222,0.958611,0.961389] average_cost 0 f_measure 0.9551497656704601 [0.992443,0.916067,0.984925,0.947631,0.972569,0.929293,0.975,0.955224,0.946015,0.932331] kappa 0.95 kb_relative_information_score 0.952940912924771 mean_absolute_error 0.008999999999999984 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9557995107356541 [1,0.880184,0.989899,0.945274,0.970149,0.938776,0.975,0.950495,0.973545,0.934673] predictive_accuracy 0.955 prior_entropy 3.3219280948872383 recall 0.955 [0.985,0.955,0.98,0.95,0.975,0.92,0.975,0.96,0.92,0.93] relative_absolute_error 0.049999999999998365 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.09486832980505129 root_relative_squared_error 0.31622776601683283 total_cost 0 area_under_roc_curve 0.9694444444444446 [0.975,0.961111,1,0.972222,1,0.966667,0.975,0.975,0.897222,0.972222] area_under_roc_curve 0.9805555555555557 [1,0.972222,1,0.95,0.975,0.969444,0.994444,0.972222,1,0.972222] area_under_roc_curve 0.9777777777777779 [1,0.95,0.997222,0.991667,1,0.922222,1,0.95,0.975,0.991667] area_under_roc_curve 0.977777777777778 [0.975,0.994444,1,0.947222,0.975,0.972222,0.997222,0.997222,0.972222,0.947222] area_under_roc_curve 0.9611111111111111 [1,0.963889,0.975,0.941667,0.994444,0.944444,0.975,0.947222,0.922222,0.947222] area_under_roc_curve 0.9777777777777777 [1,0.944444,0.997222,1,0.95,0.975,0.997222,0.969444,1,0.944444] area_under_roc_curve 0.9666666666666667 [0.975,0.958333,0.975,0.947222,0.994444,0.897222,1,0.994444,0.975,0.95] area_under_roc_curve 0.9777777777777779 [1,0.994444,0.95,1,0.994444,0.972222,0.975,0.997222,0.925,0.969444] area_under_roc_curve 0.9750000000000001 [1,0.966667,1,0.972222,1,0.972222,1,0.994444,0.922222,0.922222] area_under_roc_curve 0.9861111111111112 [1,0.997222,1,0.997222,0.975,0.975,0.947222,0.975,0.997222,0.997222] 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 0.9456340056340055 [0.974359,0.863636,1,0.95,1,0.904762,0.974359,0.974359,0.864865,0.95] f_measure 0.9650937616085241 [1,0.95,1,0.947368,0.974359,0.926829,0.952381,0.95,1,0.95] f_measure 0.959990753094613 [1,0.947368,0.97561,0.930233,1,0.894737,1,0.947368,0.974359,0.930233] f_measure 0.9598472259447868 [0.974359,0.952381,1,0.923077,0.974359,0.95,0.97561,0.97561,0.95,0.923077] f_measure 0.9303759300078372 [1,0.883721,0.974359,0.878049,0.952381,0.9,0.974359,0.923077,0.894737,0.923077] f_measure 0.959977617589941 [1,0.9,0.97561,1,0.947368,0.974359,0.97561,0.926829,1,0.9] f_measure 0.9407593481277691 [0.974359,0.844444,0.974359,0.923077,0.952381,0.864865,1,0.952381,0.974359,0.947368] f_measure 0.9597847243482672 [1,0.952381,0.947368,1,0.952381,0.95,0.974359,0.97561,0.918919,0.926829] f_measure 0.9546616541353383 [1,0.904762,1,0.95,1,0.95,1,0.952381,0.894737,0.894737] f_measure 0.9748592870544088 [1,0.97561,1,0.97561,0.974359,0.974359,0.923077,0.974359,0.97561,0.97561] kappa 0.9388888888888889 kappa 0.961111111111111 kappa 0.9555555555555555 kappa 0.9555555555555555 kappa 0.9222222222222223 kappa 0.9555555555555555 kappa 0.9333333333333332 kappa 0.9555555555555555 kappa 0.95 kappa 0.9722222222222222 kb_relative_information_score 0.9424833380191637 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9267969756607538 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9372545505663603 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9738560627359836 mean_absolute_error 0.011 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.008 mean_absolute_error 0.008 mean_absolute_error 0.014000000000000002 mean_absolute_error 0.008 mean_absolute_error 0.012 mean_absolute_error 0.008 mean_absolute_error 0.009 mean_absolute_error 0.005 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 0.9496479500891265 [1,0.791667,1,0.95,1,0.863636,1,1,0.941176,0.95] precision 0.9663852813852815 [1,0.95,1,1,1,0.904762,0.909091,0.95,1,0.95] precision 0.9635955831608005 [1,1,0.952381,0.869565,1,0.944444,1,1,1,0.869565] precision 0.9608589655958076 [1,0.909091,1,0.947368,1,0.95,0.952381,0.952381,0.95,0.947368] precision 0.9331502009305213 [1,0.826087,1,0.857143,0.909091,0.9,1,0.947368,0.944444,0.947368] precision 0.960952380952381 [1,0.9,0.952381,1,1,1,0.952381,0.904762,1,0.9] precision 0.9466726709822686 [1,0.76,1,0.947368,0.909091,0.941176,1,0.909091,1,1] precision 0.9625324675324676 [1,0.909091,1,1,0.909091,0.95,1,0.952381,1,0.904762] precision 0.9561616161616162 [1,0.863636,1,0.95,1,0.95,1,0.909091,0.944444,0.944444] precision 0.975689223057644 [1,0.952381,1,0.952381,1,1,0.947368,1,0.952381,0.952381] predictive_accuracy 0.945 predictive_accuracy 0.965 predictive_accuracy 0.96 predictive_accuracy 0.96 predictive_accuracy 0.93 predictive_accuracy 0.96 predictive_accuracy 0.94 predictive_accuracy 0.96 predictive_accuracy 0.955 predictive_accuracy 0.975 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 0.945 [0.95,0.95,1,0.95,1,0.95,0.95,0.95,0.8,0.95] recall 0.965 [1,0.95,1,0.9,0.95,0.95,1,0.95,1,0.95] recall 0.96 [1,0.9,1,1,1,0.85,1,0.9,0.95,1] recall 0.96 [0.95,1,1,0.9,0.95,0.95,1,1,0.95,0.9] recall 0.93 [1,0.95,0.95,0.9,1,0.9,0.95,0.9,0.85,0.9] recall 0.96 [1,0.9,1,1,0.9,0.95,1,0.95,1,0.9] recall 0.94 [0.95,0.95,0.95,0.9,1,0.8,1,1,0.95,0.9] recall 0.96 [1,1,0.9,1,1,0.95,0.95,1,0.85,0.95] recall 0.955 [1,0.95,1,0.95,1,0.95,1,1,0.85,0.85] recall 0.975 [1,1,1,1,0.95,0.95,0.9,0.95,1,1] relative_absolute_error 0.06111111111111117 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.07777777777777788 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.06666666666666674 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.05000000000000005 relative_absolute_error 0.027777777777777807 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 0.10488088481701516 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.11832159566199232 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.10954451150103323 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.07071067811865475 root_relative_squared_error 0.34960294939005077 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.394405318873308 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.36514837167011094 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.235702260395516 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 217.2103779957979 usercpu_time_millis 217.17730599630158 usercpu_time_millis 219.32570500212023 usercpu_time_millis 216.59530300530605 usercpu_time_millis 221.75569200044265 usercpu_time_millis 212.08569900045404 usercpu_time_millis 220.31492200767389 usercpu_time_millis 220.3135379968444 usercpu_time_millis 223.59897399292095 usercpu_time_millis 223.60366800421616 usercpu_time_millis_testing 21.59520599525422 usercpu_time_millis_testing 21.64481899671955 usercpu_time_millis_testing 22.3928289997275 usercpu_time_millis_testing 22.087513003498316 usercpu_time_millis_testing 22.67529600067064 usercpu_time_millis_testing 22.4384809989715 usercpu_time_millis_testing 22.611292006331496 usercpu_time_millis_testing 21.96704800007865 usercpu_time_millis_testing 22.496271994896233 usercpu_time_millis_testing 21.739918003731873 usercpu_time_millis_training 195.61517200054368 usercpu_time_millis_training 195.53248699958203 usercpu_time_millis_training 196.93287600239273 usercpu_time_millis_training 194.50779000180773 usercpu_time_millis_training 199.080395999772 usercpu_time_millis_training 189.64721800148254 usercpu_time_millis_training 197.7036300013424 usercpu_time_millis_training 198.34648999676574 usercpu_time_millis_training 201.1027019980247 usercpu_time_millis_training 201.8637500004843 wall_clock_time_millis 233.24108123779297 wall_clock_time_millis 217.2391414642334 wall_clock_time_millis 219.36631202697754 wall_clock_time_millis 216.62545204162598 wall_clock_time_millis 269.7901725769043 wall_clock_time_millis 212.11767196655273 wall_clock_time_millis 252.3500919342041 wall_clock_time_millis 220.34573554992676 wall_clock_time_millis 343.05286407470703 wall_clock_time_millis 223.63519668579102 wall_clock_time_millis_testing 21.607637405395508 wall_clock_time_millis_testing 21.654129028320312 wall_clock_time_millis_testing 22.403955459594727 wall_clock_time_millis_testing 22.098302841186523 wall_clock_time_millis_testing 22.701263427734375 wall_clock_time_millis_testing 22.450923919677734 wall_clock_time_millis_testing 22.625207901000977 wall_clock_time_millis_testing 21.979093551635742 wall_clock_time_millis_testing 22.509336471557617 wall_clock_time_millis_testing 21.752595901489258 wall_clock_time_millis_training 211.63344383239746 wall_clock_time_millis_training 195.5850124359131 wall_clock_time_millis_training 196.9623565673828 wall_clock_time_millis_training 194.52714920043945 wall_clock_time_millis_training 247.08890914916992 wall_clock_time_millis_training 189.666748046875 wall_clock_time_millis_training 229.72488403320312 wall_clock_time_millis_training 198.36664199829102 wall_clock_time_millis_training 320.5435276031494 wall_clock_time_millis_training 201.88260078430176