10327033 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) 8182701 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 0.16325663015546255 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7270029854979925 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.00779721868752527 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 60752 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 21575752 description https://api.openml.org/data/download/21575752/description.xml -1 21575753 predictions https://api.openml.org/data/download/21575753/predictions.arff area_under_roc_curve 0.9733333333333333 [0.981389,0.978889,0.991389,0.966389,0.982778,0.950833,0.978889,0.974167,0.961944,0.966667] average_cost 0 f_measure 0.9520446390181654 [0.972292,0.932692,0.982544,0.937656,0.965174,0.935401,0.950739,0.966921,0.937028,0.94] kappa 0.9466666666666667 kb_relative_information_score 0.9498036404530893 mean_absolute_error 0.009599999999999982 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9527088542279945 [0.979695,0.898148,0.9801,0.935323,0.960396,0.967914,0.936893,0.984456,0.944162,0.94] predictive_accuracy 0.9520000000000001 prior_entropy 3.3219280948872383 recall 0.952 [0.965,0.97,0.985,0.94,0.97,0.905,0.965,0.95,0.93,0.94] relative_absolute_error 0.05333333333333159 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.09797958971132703 root_relative_squared_error 0.3265986323710851 total_cost 0 area_under_roc_curve 0.9694444444444446 [0.972222,0.966667,1,0.947222,1,0.972222,0.969444,0.972222,0.897222,0.997222] area_under_roc_curve 0.9694444444444444 [0.997222,0.969444,0.975,0.972222,0.95,0.972222,0.963889,0.975,0.95,0.969444] area_under_roc_curve 0.9777777777777777 [0.95,0.997222,0.994444,0.975,1,0.969444,1,0.95,0.969444,0.972222] area_under_roc_curve 0.9805555555555554 [0.975,0.997222,0.997222,0.975,0.975,0.95,0.994444,1,0.994444,0.947222] area_under_roc_curve 0.9555555555555557 [0.997222,0.988889,0.947222,0.916667,0.972222,0.925,0.966667,0.947222,0.922222,0.972222] area_under_roc_curve 0.975 [0.997222,0.944444,1,0.975,0.972222,0.95,1,0.972222,0.994444,0.944444] area_under_roc_curve 0.9805555555555557 [0.975,0.963889,1,0.997222,0.997222,0.95,1,0.975,0.975,0.972222] area_under_roc_curve 0.975 [0.975,0.969444,1,0.994444,0.991667,0.925,0.975,1,0.947222,0.972222] area_under_roc_curve 0.975 [0.975,0.997222,1,0.963889,0.997222,0.919444,0.975,0.975,1,0.947222] area_under_roc_curve 0.975 [1,0.994444,1,0.947222,0.972222,0.975,0.944444,0.975,0.969444,0.972222] 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 0.9445142717093935 [0.95,0.904762,1,0.923077,1,0.95,0.926829,0.95,0.864865,0.97561] f_measure 0.9456444013738696 [0.97561,0.926829,0.974359,0.95,0.947368,0.95,0.883721,0.974359,0.947368,0.926829] f_measure 0.9600745061528115 [0.947368,0.97561,0.952381,0.974359,1,0.926829,1,0.947368,0.926829,0.95] f_measure 0.9649503684163503 [0.974359,0.97561,0.97561,0.974359,0.974359,0.947368,0.952381,1,0.952381,0.923077] f_measure 0.9199272177128403 [0.97561,0.909091,0.923077,0.85,0.95,0.918919,0.904762,0.923077,0.894737,0.95] f_measure 0.9549718103890119 [0.97561,0.9,1,0.974359,0.95,0.947368,1,0.95,0.952381,0.9] f_measure 0.9655385786557233 [0.974359,0.883721,1,0.97561,0.97561,0.947368,1,0.974359,0.974359,0.95] f_measure 0.9550156569526961 [0.974359,0.926829,1,0.952381,0.930233,0.918919,0.974359,1,0.923077,0.95] f_measure 0.9552889160376397 [0.974359,0.97561,1,0.883721,0.97561,0.871795,0.974359,0.974359,1,0.923077] f_measure 0.9551005092468506 [1,0.952381,1,0.923077,0.95,0.974359,0.9,0.974359,0.926829,0.95] kappa 0.9388888888888889 kappa 0.9388888888888889 kappa 0.9555555555555555 kappa 0.961111111111111 kappa 0.9111111111111112 kappa 0.95 kappa 0.961111111111111 kappa 0.95 kappa 0.95 kappa 0.95 kb_relative_information_score 0.9424833380191637 kb_relative_information_score 0.9424833380191637 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9163394007551472 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9529409129247703 mean_absolute_error 0.011 mean_absolute_error 0.011 mean_absolute_error 0.008 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.016000000000000004 mean_absolute_error 0.009 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.009 mean_absolute_error 0.009 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 0.9459324112420088 [0.95,0.863636,1,0.947368,1,0.95,0.904762,0.95,0.941176,0.952381] precision 0.9487991718426501 [0.952381,0.904762,1,0.95,1,0.95,0.826087,1,1,0.904762] precision 0.9620995670995671 [1,0.952381,0.909091,1,1,0.904762,1,1,0.904762,0.95] precision 0.9670312143996356 [1,0.952381,0.952381,1,1,1,0.909091,1,0.909091,0.947368] precision 0.9238531935900357 [0.952381,0.833333,0.947368,0.85,0.95,1,0.863636,0.947368,0.944444,0.95] precision 0.9561471861471861 [0.952381,0.9,1,1,0.95,1,1,0.95,0.909091,0.9] precision 0.9680848861283644 [1,0.826087,1,0.952381,0.952381,1,1,1,1,0.95] precision 0.9580786452296749 [1,0.904762,1,0.909091,0.869565,1,1,1,0.947368,0.95] precision 0.9572954124441538 [1,0.952381,1,0.826087,0.952381,0.894737,1,1,1,0.947368] precision 0.9561221234905446 [1,0.909091,1,0.947368,0.95,1,0.9,1,0.904762,0.95] predictive_accuracy 0.945 predictive_accuracy 0.945 predictive_accuracy 0.96 predictive_accuracy 0.965 predictive_accuracy 0.92 predictive_accuracy 0.955 predictive_accuracy 0.965 predictive_accuracy 0.955 predictive_accuracy 0.955 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 0.945 [0.95,0.95,1,0.9,1,0.95,0.95,0.95,0.8,1] recall 0.945 [1,0.95,0.95,0.95,0.9,0.95,0.95,0.95,0.9,0.95] recall 0.96 [0.9,1,1,0.95,1,0.95,1,0.9,0.95,0.95] recall 0.965 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.9] recall 0.92 [1,1,0.9,0.85,0.95,0.85,0.95,0.9,0.85,0.95] recall 0.955 [1,0.9,1,0.95,0.95,0.9,1,0.95,1,0.9] recall 0.965 [0.95,0.95,1,1,1,0.9,1,0.95,0.95,0.95] recall 0.955 [0.95,0.95,1,1,1,0.85,0.95,1,0.9,0.95] recall 0.955 [0.95,1,1,0.95,1,0.85,0.95,0.95,1,0.9] recall 0.955 [1,1,1,0.9,0.95,0.95,0.9,0.95,0.95,0.95] relative_absolute_error 0.06111111111111117 relative_absolute_error 0.06111111111111117 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.088888888888889 relative_absolute_error 0.05000000000000005 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.05000000000000005 relative_absolute_error 0.05000000000000005 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 0.10488088481701516 root_mean_squared_error 0.10488088481701516 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.09486832980505137 root_relative_squared_error 0.34960294939005077 root_relative_squared_error 0.34960294939005077 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.42163702135578424 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.31622776601683816 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 555.623451997235 usercpu_time_millis 556.5698630016414 usercpu_time_millis 554.6870630059857 usercpu_time_millis 557.9556199954823 usercpu_time_millis 555.7563609982026 usercpu_time_millis 553.5955960003776 usercpu_time_millis 545.7271420018515 usercpu_time_millis 545.3662929940037 usercpu_time_millis 563.705069005664 usercpu_time_millis 544.2923809969216 usercpu_time_millis_testing 47.30435099918395 usercpu_time_millis_testing 46.78697900089901 usercpu_time_millis_testing 47.04036500334041 usercpu_time_millis_testing 47.09115299920086 usercpu_time_millis_testing 47.06338200048776 usercpu_time_millis_testing 46.61852899880614 usercpu_time_millis_testing 46.66254699986894 usercpu_time_millis_testing 46.69322699919576 usercpu_time_millis_testing 47.14636399876326 usercpu_time_millis_testing 46.7656420005369 usercpu_time_millis_training 508.319100998051 usercpu_time_millis_training 509.78288400074234 usercpu_time_millis_training 507.6466980026453 usercpu_time_millis_training 510.8644669962814 usercpu_time_millis_training 508.6929789977148 usercpu_time_millis_training 506.9770670015714 usercpu_time_millis_training 499.0645950019825 usercpu_time_millis_training 498.673065994808 usercpu_time_millis_training 516.5587050069007 usercpu_time_millis_training 497.52673899638467 wall_clock_time_millis 555.6776523590088 wall_clock_time_millis 604.6285629272461 wall_clock_time_millis 570.7440376281738 wall_clock_time_millis 558.0105781555176 wall_clock_time_millis 635.8246803283691 wall_clock_time_millis 569.6818828582764 wall_clock_time_millis 677.7603626251221 wall_clock_time_millis 545.4709529876709 wall_clock_time_millis 619.7969913482666 wall_clock_time_millis 628.3485889434814 wall_clock_time_millis_testing 47.3177433013916 wall_clock_time_millis_testing 94.8028564453125 wall_clock_time_millis_testing 47.05476760864258 wall_clock_time_millis_testing 47.10555076599121 wall_clock_time_millis_testing 47.078847885131836 wall_clock_time_millis_testing 62.63470649719238 wall_clock_time_millis_testing 46.67782783508301 wall_clock_time_millis_testing 46.707868576049805 wall_clock_time_millis_testing 95.15976905822754 wall_clock_time_millis_testing 46.78034782409668 wall_clock_time_millis_training 508.3599090576172 wall_clock_time_millis_training 509.8257064819336 wall_clock_time_millis_training 523.6892700195312 wall_clock_time_millis_training 510.90502738952637 wall_clock_time_millis_training 588.7458324432373 wall_clock_time_millis_training 507.047176361084 wall_clock_time_millis_training 631.0825347900391 wall_clock_time_millis_training 498.7630844116211 wall_clock_time_millis_training 524.6372222900391 wall_clock_time_millis_training 581.5682411193848