10327007 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) 8182675 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 4268.510636410245 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0061078893286028715 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 48024 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 21575700 description https://api.openml.org/data/download/21575700/description.xml -1 21575701 predictions https://api.openml.org/data/download/21575701/predictions.arff area_under_roc_curve 0.9872222222222223 [0.994444,0.986944,0.991944,0.985833,0.991667,0.976667,0.991389,0.988333,0.984444,0.980556] average_cost 0 f_measure 0.9770191359391085 [0.99,0.963145,0.987469,0.972569,0.985,0.969543,0.982544,0.975124,0.979798,0.965] kappa 0.9744444444444444 kb_relative_information_score 0.9759475777171054 mean_absolute_error 0.0046 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9771687438888812 [0.99,0.94686,0.98995,0.970149,0.985,0.984536,0.9801,0.970297,0.989796,0.965] predictive_accuracy 0.977 prior_entropy 3.3219280948872383 recall 0.977 [0.99,0.98,0.985,0.975,0.985,0.955,0.985,0.98,0.97,0.965] relative_absolute_error 0.025555555555554766 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.06782329983125268 root_relative_squared_error 0.22607766610417215 total_cost 0 area_under_roc_curve 0.9861111111111112 [0.972222,0.991667,1,1,1,0.975,0.997222,1,0.925,1] area_under_roc_curve 0.9861111111111112 [1,0.975,1,0.975,1,0.972222,0.994444,0.972222,1,0.972222] area_under_roc_curve 0.9888888888888888 [1,0.95,0.997222,0.997222,1,1,1,0.95,1,0.994444] area_under_roc_curve 0.9888888888888888 [1,0.997222,0.997222,0.972222,0.975,0.975,1,1,1,0.972222] area_under_roc_curve 0.9805555555555556 [0.997222,0.997222,0.95,0.944444,0.997222,0.975,1,0.994444,0.975,0.975] area_under_roc_curve 0.9888888888888892 [1,0.972222,1,1,0.975,0.975,1,0.997222,0.997222,0.972222] area_under_roc_curve 0.9861111111111112 [0.975,0.994444,0.975,0.997222,1,0.947222,1,0.997222,0.975,1] area_under_roc_curve 0.9888888888888888 [1,0.997222,1,1,0.994444,0.975,0.975,1,0.975,0.972222] area_under_roc_curve 0.9888888888888888 [1,0.997222,1,0.972222,1,0.972222,1,0.997222,1,0.95] area_under_roc_curve 0.9888888888888888 [1,0.997222,1,1,0.975,1,0.947222,0.975,0.997222,0.997222] 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 0.974912020751499 [0.95,0.930233,1,1,1,0.974359,0.97561,1,0.918919,1] f_measure 0.97510989010989 [1,0.974359,1,0.974359,1,0.95,0.952381,0.95,1,0.95] f_measure 0.9798337306681337 [1,0.947368,0.97561,0.97561,1,1,1,0.947368,1,0.952381] f_measure 0.9799937460913071 [1,0.97561,0.97561,0.95,0.974359,0.974359,1,1,1,0.95] f_measure 0.9649655564803189 [0.97561,0.97561,0.947368,0.9,0.97561,0.974359,1,0.952381,0.974359,0.974359] f_measure 0.979993746091307 [1,0.95,1,1,0.974359,0.974359,1,0.97561,0.97561,0.95] f_measure 0.9749754310729919 [0.974359,0.952381,0.974359,0.97561,1,0.923077,1,0.97561,0.974359,1] f_measure 0.9801067631555437 [1,0.97561,1,1,0.952381,0.974359,0.974359,1,0.974359,0.95] f_measure 0.9798587933247752 [1,0.97561,1,0.95,1,0.95,1,0.97561,1,0.947368] f_measure 0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561] kappa 0.9722222222222222 kappa 0.9722222222222222 kappa 0.9777777777777777 kappa 0.9777777777777777 kappa 0.961111111111111 kappa 0.9777777777777777 kappa 0.9722222222222222 kappa 0.9777777777777777 kappa 0.9777777777777777 kappa 0.9777777777777777 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 mean_absolute_error 0.005 mean_absolute_error 0.005 mean_absolute_error 0.004 mean_absolute_error 0.004 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.004 mean_absolute_error 0.005 mean_absolute_error 0.004 mean_absolute_error 0.004 mean_absolute_error 0.004 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 0.9771946169772256 [0.95,0.869565,1,1,1,1,0.952381,1,1,1] precision 0.975909090909091 [1,1,1,1,1,0.95,0.909091,0.95,1,0.95] precision 0.9813852813852815 [1,1,0.952381,0.952381,1,1,1,1,1,0.909091] precision 0.9804761904761905 [1,0.952381,0.952381,0.95,1,1,1,1,1,0.95] precision 0.9666233766233767 [0.952381,0.952381,1,0.9,0.952381,1,1,0.909091,1,1] precision 0.9804761904761904 [1,0.95,1,1,1,1,1,0.952381,0.952381,0.95] precision 0.9761221234905445 [1,0.909091,1,0.952381,1,0.947368,1,0.952381,1,1] precision 0.9811471861471861 [1,0.952381,1,1,0.909091,1,1,1,1,0.95] precision 0.9804761904761904 [1,0.952381,1,0.95,1,0.95,1,0.952381,1,1] precision 0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381] predictive_accuracy 0.975 predictive_accuracy 0.975 predictive_accuracy 0.98 predictive_accuracy 0.98 predictive_accuracy 0.965 predictive_accuracy 0.98 predictive_accuracy 0.975 predictive_accuracy 0.98 predictive_accuracy 0.98 predictive_accuracy 0.98 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 0.975 [0.95,1,1,1,1,0.95,1,1,0.85,1] recall 0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95] recall 0.98 [1,0.9,1,1,1,1,1,0.9,1,1] recall 0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95] recall 0.965 [1,1,0.9,0.9,1,0.95,1,1,0.95,0.95] recall 0.98 [1,0.95,1,1,0.95,0.95,1,1,1,0.95] recall 0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1] recall 0.98 [1,1,1,1,1,0.95,0.95,1,0.95,0.95] recall 0.98 [1,1,1,0.95,1,0.95,1,1,1,0.9] recall 0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1] relative_absolute_error 0.027777777777777807 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 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 0.07071067811865475 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 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 289.4336210010806 usercpu_time_millis 289.2299110098975 usercpu_time_millis 286.6721700047492 usercpu_time_millis 291.2103060007212 usercpu_time_millis 287.14708799816435 usercpu_time_millis 290.42205599398585 usercpu_time_millis 288.76097399916034 usercpu_time_millis 290.22679600166157 usercpu_time_millis 290.52631899685366 usercpu_time_millis 292.1261020019301 usercpu_time_millis_testing 29.659897001693025 usercpu_time_millis_testing 29.630592005560175 usercpu_time_millis_testing 29.511305001506116 usercpu_time_millis_testing 29.94584800035227 usercpu_time_millis_testing 29.752227004792076 usercpu_time_millis_testing 30.197180996765383 usercpu_time_millis_testing 29.86498300015228 usercpu_time_millis_testing 30.0610320045962 usercpu_time_millis_testing 29.92053599882638 usercpu_time_millis_testing 30.203690999769606 usercpu_time_millis_training 259.7737239993876 usercpu_time_millis_training 259.5993190043373 usercpu_time_millis_training 257.1608650032431 usercpu_time_millis_training 261.2644580003689 usercpu_time_millis_training 257.3948609933723 usercpu_time_millis_training 260.22487499722047 usercpu_time_millis_training 258.89599099900806 usercpu_time_millis_training 260.16576399706537 usercpu_time_millis_training 260.6057829980273 usercpu_time_millis_training 261.9224110021605 wall_clock_time_millis 305.47142028808594 wall_clock_time_millis 289.26873207092285 wall_clock_time_millis 286.7109775543213 wall_clock_time_millis 291.26691818237305 wall_clock_time_millis 287.19639778137207 wall_clock_time_millis 290.45939445495605 wall_clock_time_millis 288.79714012145996 wall_clock_time_millis 290.2669906616211 wall_clock_time_millis 290.56453704833984 wall_clock_time_millis 364.1469478607178 wall_clock_time_millis_testing 29.674768447875977 wall_clock_time_millis_testing 29.64496612548828 wall_clock_time_millis_testing 29.5255184173584 wall_clock_time_millis_testing 29.967784881591797 wall_clock_time_millis_testing 29.766321182250977 wall_clock_time_millis_testing 30.21097183227539 wall_clock_time_millis_testing 29.87837791442871 wall_clock_time_millis_testing 30.075550079345703 wall_clock_time_millis_testing 29.934167861938477 wall_clock_time_millis_testing 62.20889091491699 wall_clock_time_millis_training 275.79665184020996 wall_clock_time_millis_training 259.62376594543457 wall_clock_time_millis_training 257.1854591369629 wall_clock_time_millis_training 261.29913330078125 wall_clock_time_millis_training 257.4300765991211 wall_clock_time_millis_training 260.24842262268066 wall_clock_time_millis_training 258.91876220703125 wall_clock_time_millis_training 260.1914405822754 wall_clock_time_millis_training 260.63036918640137 wall_clock_time_millis_training 301.9380569458008