10327083 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) 8182751 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 2719.5524150527717 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.007052803627994299 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 19037 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 21575852 description https://api.openml.org/data/download/21575852/description.xml -1 21575853 predictions https://api.openml.org/data/download/21575853/predictions.arff area_under_roc_curve 0.9877777777777779 [0.994722,0.9875,0.991944,0.985556,0.991667,0.976667,0.991389,0.988333,0.986944,0.983056] average_cost 0 f_measure 0.9780160334769236 [0.992481,0.967901,0.987469,0.970149,0.985,0.969543,0.982544,0.975124,0.982368,0.967581] kappa 0.9755555555555555 kb_relative_information_score 0.976993335207666 mean_absolute_error 0.0044 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9781323178498688 [0.994975,0.956098,0.98995,0.965347,0.985,0.984536,0.9801,0.970297,0.989848,0.965174] predictive_accuracy 0.978 prior_entropy 3.3219280948872383 recall 0.978 [0.99,0.98,0.985,0.975,0.985,0.955,0.985,0.98,0.975,0.97] relative_absolute_error 0.024444444444443693 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.066332495807108 root_relative_squared_error 0.22110831935702324 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 0.9833333333333333 [1,0.997222,0.95,0.944444,0.997222,0.975,1,0.994444,1,0.975] 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 [0.975,0.997222,0.975,0.994444,1,0.947222,1,0.997222,0.975,1] area_under_roc_curve 0.9916666666666666 [1,1,1,1,0.994444,0.975,0.975,1,0.975,0.997222] 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 0.9699686834346655 [1,0.97561,0.947368,0.9,0.97561,0.974359,1,0.952381,1,0.974359] f_measure 0.979993746091307 [1,0.95,1,1,0.974359,0.974359,1,0.97561,0.97561,0.95] f_measure 0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1] f_measure 0.9851067631555435 [1,1,1,1,0.952381,0.974359,0.974359,1,0.974359,0.97561] 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 0.9666666666666667 kappa 0.9777777777777777 kappa 0.9722222222222222 kappa 0.9833333333333333 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 0.9686272752831802 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9843136376415902 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 0.006 mean_absolute_error 0.004 mean_absolute_error 0.005 mean_absolute_error 0.0030000000000000005 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 0.9713852813852815 [1,0.952381,1,0.9,0.952381,1,1,0.909091,1,1] precision 0.9804761904761904 [1,0.95,1,1,1,1,1,0.952381,0.952381,0.95] precision 0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1] precision 0.9861471861471861 [1,1,1,1,0.909091,1,1,1,1,0.952381] 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 0.97 predictive_accuracy 0.98 predictive_accuracy 0.975 predictive_accuracy 0.985 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 0.97 [1,1,0.9,0.9,1,0.95,1,1,1,0.95] 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 0.985 [1,1,1,1,1,0.95,0.95,1,0.95,1] 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 0.03333333333333337 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.016666666666666687 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 0.07745966692414834 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.05477225575051661 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 0.25819888974716126 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.18257418583505547 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 304.22552700474625 usercpu_time_millis 295.5726260042866 usercpu_time_millis 300.971553006093 usercpu_time_millis 303.8195619956241 usercpu_time_millis 307.527790988388 usercpu_time_millis 307.57268099841895 usercpu_time_millis 299.94998699839925 usercpu_time_millis 302.6990319995093 usercpu_time_millis 305.75671500264434 usercpu_time_millis 305.81678999442374 usercpu_time_millis_testing 30.657584000437055 usercpu_time_millis_testing 30.489524004224222 usercpu_time_millis_testing 30.646104001789354 usercpu_time_millis_testing 30.928982996556442 usercpu_time_millis_testing 30.428613994445186 usercpu_time_millis_testing 30.932589994336013 usercpu_time_millis_testing 30.81485199800227 usercpu_time_millis_testing 30.8240609956556 usercpu_time_millis_testing 31.1189470012323 usercpu_time_millis_testing 30.53086399449967 usercpu_time_millis_training 273.5679430043092 usercpu_time_millis_training 265.08310200006235 usercpu_time_millis_training 270.32544900430366 usercpu_time_millis_training 272.89057899906766 usercpu_time_millis_training 277.0991769939428 usercpu_time_millis_training 276.64009100408293 usercpu_time_millis_training 269.135135000397 usercpu_time_millis_training 271.8749710038537 usercpu_time_millis_training 274.63776800141204 usercpu_time_millis_training 275.2859259999241 wall_clock_time_millis 304.2750358581543 wall_clock_time_millis 295.6511974334717 wall_clock_time_millis 417.13571548461914 wall_clock_time_millis 303.8783073425293 wall_clock_time_millis 343.63722801208496 wall_clock_time_millis 423.66504669189453 wall_clock_time_millis 300.0619411468506 wall_clock_time_millis 406.7387580871582 wall_clock_time_millis 393.89991760253906 wall_clock_time_millis 305.85646629333496 wall_clock_time_millis_testing 30.671358108520508 wall_clock_time_millis_testing 30.50374984741211 wall_clock_time_millis_testing 30.65967559814453 wall_clock_time_millis_testing 30.94315528869629 wall_clock_time_millis_testing 30.463695526123047 wall_clock_time_millis_testing 62.94536590576172 wall_clock_time_millis_testing 30.82895278930664 wall_clock_time_millis_testing 30.836820602416992 wall_clock_time_millis_testing 63.132286071777344 wall_clock_time_millis_testing 30.545473098754883 wall_clock_time_millis_training 273.6036777496338 wall_clock_time_millis_training 265.14744758605957 wall_clock_time_millis_training 386.4760398864746 wall_clock_time_millis_training 272.935152053833 wall_clock_time_millis_training 313.1735324859619 wall_clock_time_millis_training 360.7196807861328 wall_clock_time_millis_training 269.23298835754395 wall_clock_time_millis_training 375.9019374847412 wall_clock_time_millis_training 330.7676315307617 wall_clock_time_millis_training 275.3109931945801