10328575 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184220 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 73859.26915518321 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.8827117838577592 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 4.389642843888026e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 21399 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21578836 description https://api.openml.org/data/download/21578836/description.xml -1 21578837 predictions https://api.openml.org/data/download/21578837/predictions.arff area_under_roc_curve 0.9083333333333333 [1,0.8825,0.963056,0.93,0.872222,0.946667,0.798056,0.931389,0.984444,0.775] average_cost 0 f_measure 0.8353215855627002 [1,0.769976,0.946565,0.870647,0.77,0.900498,0.628993,0.881612,0.979798,0.605128] kappa 0.8166666666666667 kb_relative_information_score 0.827450014057495 mean_absolute_error 0.033000000000000196 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8360116591776832 [1,0.746479,0.963731,0.866337,0.77,0.89604,0.618357,0.888325,0.989796,0.621053] predictive_accuracy 0.835 prior_entropy 3.3219280948872383 recall 0.835 [1,0.795,0.93,0.875,0.77,0.905,0.64,0.875,0.97,0.59] relative_absolute_error 0.18333333333332877 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18165902124585004 root_relative_squared_error 0.6055300708194908 total_cost 0 area_under_roc_curve 0.9138888888888889 [1,0.952778,0.972222,0.897222,0.911111,0.975,0.844444,0.897222,1,0.688889] area_under_roc_curve 0.8972222222222223 [1,0.85,0.95,0.891667,0.880556,0.941667,0.666667,0.925,0.975,0.891667] area_under_roc_curve 0.9166666666666665 [1,0.911111,0.975,0.922222,0.958333,0.944444,0.819444,0.947222,1,0.688889] area_under_roc_curve 0.9388888888888889 [1,0.894444,0.975,0.983333,0.941667,0.922222,0.888889,0.922222,0.975,0.886111] area_under_roc_curve 0.8805555555555558 [1,0.877778,0.925,0.930556,0.813889,0.911111,0.702778,0.919444,1,0.725] area_under_roc_curve 0.9055555555555556 [1,0.861111,0.947222,0.872222,0.813889,0.961111,0.85,0.969444,1,0.780556] area_under_roc_curve 0.9194444444444444 [1,0.863889,0.922222,0.994444,0.886111,0.947222,0.880556,0.961111,1,0.738889] area_under_roc_curve 0.913888888888889 [1,0.863889,0.997222,0.944444,0.813889,0.941667,0.833333,0.916667,0.947222,0.880556] area_under_roc_curve 0.913888888888889 [1,0.891667,0.997222,0.991667,0.838889,0.95,0.730556,0.966667,1,0.772222] area_under_roc_curve 0.8833333333333334 [1,0.858333,0.969444,0.872222,0.863889,0.972222,0.763889,0.888889,0.947222,0.697222] 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 0.8424297064953863 [1,0.808511,0.95,0.864865,0.809524,0.974359,0.652174,0.864865,1,0.5] f_measure 0.8125756361348034 [1,0.681818,0.947368,0.820513,0.744186,0.878049,0.466667,0.918919,0.974359,0.693878] f_measure 0.8468363215731637 [1,0.809524,0.974359,0.894737,0.844444,0.9,0.622222,0.923077,1,0.5] f_measure 0.8908398698843527 [1,0.842105,0.974359,0.869565,0.878049,0.894737,0.8,0.894737,0.974359,0.780488] f_measure 0.7829520029520028 [1,0.727273,0.918919,0.8,0.702703,0.809524,0.486486,0.871795,1,0.512821] f_measure 0.8296781388244804 [1,0.75,0.923077,0.833333,0.702703,0.863636,0.681818,0.926829,1,0.615385] f_measure 0.8515970995937594 [1,0.769231,0.894737,0.952381,0.780488,0.923077,0.744186,0.863636,1,0.588235] f_measure 0.8442854978107388 [1,0.769231,0.97561,0.9,0.702703,0.878049,0.7,0.85,0.923077,0.744186] f_measure 0.8427296677796722 [1,0.820513,0.97561,0.930233,0.736842,0.947368,0.540541,0.904762,1,0.571429] f_measure 0.7929049405878673 [1,0.731707,0.926829,0.833333,0.769231,0.95,0.533333,0.8,0.923077,0.461538] kappa 0.8277777777777777 kappa 0.7944444444444444 kappa 0.8333333333333333 kappa 0.8777777777777778 kappa 0.7611111111111112 kappa 0.8111111111111111 kappa 0.8388888888888889 kappa 0.8277777777777777 kappa 0.8277777777777777 kappa 0.7666666666666667 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8849666760383273 kb_relative_information_score 0.775162139529458 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.7803909269822613 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.022000000000000006 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.04200000000000001 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 0.8552373661197191 [1,0.703704,0.95,0.941176,0.772727,1,0.576923,0.941176,1,0.666667] precision 0.8306107190765519 [1,0.625,1,0.842105,0.695652,0.857143,0.7,1,1,0.586207] precision 0.8551206804891016 [1,0.772727,1,0.944444,0.76,0.9,0.56,0.947368,1,0.666667] precision 0.8966056166056166 [1,0.888889,1,0.769231,0.857143,0.944444,0.8,0.944444,1,0.761905] precision 0.7874564218031709 [1,0.666667,1,0.72,0.764706,0.772727,0.529412,0.894737,1,0.526316] precision 0.8352581822202565 [1,0.75,0.947368,0.9375,0.764706,0.791667,0.625,0.904762,1,0.631579] precision 0.8553886775568698 [1,0.789474,0.944444,0.909091,0.761905,0.947368,0.695652,0.791667,1,0.714286] precision 0.8456723971052952 [1,0.789474,0.952381,0.9,0.764706,0.857143,0.7,0.85,0.947368,0.695652] precision 0.8439155413916485 [1,0.842105,0.952381,0.869565,0.777778,1,0.588235,0.863636,1,0.545455] precision 0.7997073934837092 [1,0.714286,0.904762,0.9375,0.789474,0.95,0.48,0.8,0.947368,0.473684] predictive_accuracy 0.845 predictive_accuracy 0.815 predictive_accuracy 0.85 predictive_accuracy 0.89 predictive_accuracy 0.785 predictive_accuracy 0.83 predictive_accuracy 0.855 predictive_accuracy 0.845 predictive_accuracy 0.845 predictive_accuracy 0.79 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 0.845 [1,0.95,0.95,0.8,0.85,0.95,0.75,0.8,1,0.4] recall 0.815 [1,0.75,0.9,0.8,0.8,0.9,0.35,0.85,0.95,0.85] recall 0.85 [1,0.85,0.95,0.85,0.95,0.9,0.7,0.9,1,0.4] recall 0.89 [1,0.8,0.95,1,0.9,0.85,0.8,0.85,0.95,0.8] recall 0.785 [1,0.8,0.85,0.9,0.65,0.85,0.45,0.85,1,0.5] recall 0.83 [1,0.75,0.9,0.75,0.65,0.95,0.75,0.95,1,0.6] recall 0.855 [1,0.75,0.85,1,0.8,0.9,0.8,0.95,1,0.5] recall 0.845 [1,0.75,1,0.9,0.65,0.9,0.7,0.85,0.9,0.8] recall 0.845 [1,0.8,1,1,0.7,0.9,0.5,0.95,1,0.6] recall 0.79 [1,0.75,0.95,0.75,0.75,0.95,0.6,0.8,0.9,0.45] relative_absolute_error 0.1722222222222225 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.1222222222222224 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.23333333333333364 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 0.17606816861659014 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.14832396974191328 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.20493901531919198 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.49441323247304453 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6831300510639737 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 538.0842000085977 usercpu_time_millis 567.1672329990542 usercpu_time_millis 544.7182869975222 usercpu_time_millis 569.0630590033834 usercpu_time_millis 497.2099009974045 usercpu_time_millis 575.8699970028829 usercpu_time_millis 570.3923519977252 usercpu_time_millis 521.3560349948239 usercpu_time_millis 554.1504249995342 usercpu_time_millis 550.3669019963127 usercpu_time_millis_testing 33.19910900609102 usercpu_time_millis_testing 32.89615399989998 usercpu_time_millis_testing 34.30099599790992 usercpu_time_millis_testing 32.715815999836195 usercpu_time_millis_testing 33.05179699964356 usercpu_time_millis_testing 33.42741400410887 usercpu_time_millis_testing 33.45237400208134 usercpu_time_millis_testing 33.4160790007445 usercpu_time_millis_testing 33.997887003351934 usercpu_time_millis_testing 33.77304099558387 usercpu_time_millis_training 504.88509100250667 usercpu_time_millis_training 534.2710789991543 usercpu_time_millis_training 510.4172909996123 usercpu_time_millis_training 536.3472430035472 usercpu_time_millis_training 464.1581039977609 usercpu_time_millis_training 542.442582998774 usercpu_time_millis_training 536.9399779956439 usercpu_time_millis_training 487.93995599407936 usercpu_time_millis_training 520.1525379961822 usercpu_time_millis_training 516.5938610007288 wall_clock_time_millis 614.1517162322998 wall_clock_time_millis 623.2216358184814 wall_clock_time_millis 796.8101501464844 wall_clock_time_millis 609.1067790985107 wall_clock_time_millis 515.1240825653076 wall_clock_time_millis 611.9542121887207 wall_clock_time_millis 766.4477825164795 wall_clock_time_millis 537.4114513397217 wall_clock_time_millis 570.2371597290039 wall_clock_time_millis 590.4626846313477 wall_clock_time_millis_testing 33.21194648742676 wall_clock_time_millis_testing 48.90918731689453 wall_clock_time_millis_testing 34.31534767150879 wall_clock_time_millis_testing 32.730817794799805 wall_clock_time_millis_testing 34.932851791381836 wall_clock_time_millis_testing 33.44130516052246 wall_clock_time_millis_testing 33.467769622802734 wall_clock_time_millis_testing 33.43057632446289 wall_clock_time_millis_testing 34.01374816894531 wall_clock_time_millis_testing 33.788442611694336 wall_clock_time_millis_training 580.939769744873 wall_clock_time_millis_training 574.3124485015869 wall_clock_time_millis_training 762.4948024749756 wall_clock_time_millis_training 576.3759613037109 wall_clock_time_millis_training 480.1912307739258 wall_clock_time_millis_training 578.5129070281982 wall_clock_time_millis_training 732.9800128936768 wall_clock_time_millis_training 503.9808750152588 wall_clock_time_millis_training 536.2234115600586 wall_clock_time_millis_training 556.6742420196533