10328504 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) 8184151 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 20.27191464739306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9300826105431621 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.0007702133768493733 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 54969 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 21578694 description https://api.openml.org/data/download/21578694/description.xml -1 21578695 predictions https://api.openml.org/data/download/21578695/predictions.arff area_under_roc_curve 0.91 [0.9975,0.88,0.975,0.937778,0.895278,0.953333,0.7525,0.965833,0.986667,0.756111] average_cost 0 f_measure 0.8371502883861001 [0.997494,0.781095,0.955,0.898477,0.816121,0.919598,0.56266,0.898345,0.979899,0.562814] kappa 0.82 kb_relative_information_score 0.8305872865291771 mean_absolute_error 0.03240000000000019 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8369615524507305 [1,0.777228,0.955,0.912371,0.822335,0.924242,0.575916,0.852018,0.984848,0.565657] predictive_accuracy 0.838 prior_entropy 3.3219280948872383 recall 0.838 [0.995,0.785,0.955,0.885,0.81,0.915,0.55,0.95,0.975,0.56] relative_absolute_error 0.17999999999999552 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18000000000000055 root_relative_squared_error 0.5999999999999927 total_cost 0 area_under_roc_curve 0.9027777777777777 [0.975,0.925,0.972222,0.9,0.938889,1,0.672222,0.944444,0.997222,0.702778] area_under_roc_curve 0.9138888888888889 [1,0.888889,0.972222,0.919444,0.866667,0.941667,0.761111,0.963889,0.975,0.85] area_under_roc_curve 0.9027777777777777 [1,0.883333,1,0.919444,0.958333,0.944444,0.744444,0.919444,1,0.658333] area_under_roc_curve 0.9277777777777777 [1,0.866667,0.975,0.988889,0.938889,0.894444,0.838889,0.919444,0.975,0.880556] area_under_roc_curve 0.8888888888888888 [1,0.813889,0.975,0.916667,0.880556,0.919444,0.725,0.958333,1,0.7] area_under_roc_curve 0.9138888888888889 [1,0.894444,0.994444,0.919444,0.869444,0.969444,0.816667,0.994444,1,0.680556] area_under_roc_curve 0.9083333333333333 [1,0.891667,0.925,0.969444,0.891667,0.972222,0.75,0.983333,1,0.7] area_under_roc_curve 0.9277777777777778 [1,0.886111,0.997222,0.947222,0.844444,0.969444,0.877778,0.991667,0.972222,0.791667] area_under_roc_curve 0.9111111111111113 [1,0.866667,0.997222,0.997222,0.891667,0.95,0.611111,0.991667,1,0.805556] area_under_roc_curve 0.9027777777777779 [1,0.883333,0.941667,0.9,0.872222,0.972222,0.727778,0.991667,0.947222,0.791667] 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 0.8219497041362226 [0.974359,0.765957,0.95,0.888889,0.857143,1,0.421053,0.9,0.97561,0.486486] f_measure 0.8440326534014027 [1,0.8,0.95,0.871795,0.789474,0.878049,0.611111,0.883721,0.974359,0.681818] f_measure 0.8197990897990897 [1,0.761905,1,0.871795,0.844444,0.9,0.52381,0.871795,1,0.424242] f_measure 0.8699353685889791 [1,0.789474,0.974359,0.909091,0.857143,0.842105,0.736842,0.871795,0.974359,0.744186] f_measure 0.797399176315945 [1,0.702703,0.974359,0.85,0.744186,0.871795,0.512821,0.844444,1,0.473684] f_measure 0.8422140628134934 [1,0.842105,0.952381,0.871795,0.810811,0.926829,0.608696,0.952381,1,0.457143] f_measure 0.8330023256154864 [1,0.820513,0.918919,0.926829,0.820513,0.95,0.55,0.869565,1,0.473684] f_measure 0.8677001101249542 [1,0.780488,0.97561,0.923077,0.777778,0.926829,0.727273,0.930233,0.95,0.685714] f_measure 0.8332140329443968 [1,0.789474,0.97561,0.97561,0.820513,0.947368,0.333333,0.930233,1,0.56] f_measure 0.8269578813082709 [1,0.761905,0.878049,0.888889,0.833333,0.95,0.526316,0.930233,0.923077,0.577778] kappa 0.8055555555555555 kappa 0.8277777777777777 kappa 0.8055555555555555 kappa 0.8555555555555555 kappa 0.7777777777777778 kappa 0.8277777777777777 kappa 0.8166666666666667 kappa 0.8555555555555555 kappa 0.8222222222222222 kappa 0.8055555555555555 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8169924391518844 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.03500000000000002 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 0.8261085646379763 [1,0.666667,0.95,1,0.818182,1,0.444444,0.9,0.952381,0.529412] precision 0.8473799989103193 [1,0.8,0.95,0.894737,0.833333,0.857143,0.6875,0.826087,1,0.625] precision 0.8215207949944792 [1,0.727273,1,0.894737,0.76,0.9,0.5,0.894737,1,0.538462] precision 0.874190416753346 [1,0.833333,1,0.833333,0.818182,0.888889,0.777778,0.894737,1,0.695652] precision 0.7991410687844932 [1,0.764706,1,0.85,0.695652,0.894737,0.526316,0.76,1,0.5] precision 0.8460717266909218 [1,0.888889,0.909091,0.894737,0.882353,0.904762,0.538462,0.909091,1,0.533333] precision 0.8358203200308464 [1,0.842105,1,0.904762,0.842105,0.95,0.55,0.769231,1,0.5] precision 0.872764792415822 [1,0.761905,0.952381,0.947368,0.875,0.904762,0.666667,0.869565,0.95,0.8] precision 0.8416432385311104 [1,0.833333,0.952381,0.952381,0.842105,1,0.5,0.869565,1,0.466667] precision 0.8364404778415075 [1,0.727273,0.857143,1,0.9375,0.95,0.555556,0.869565,0.947368,0.52] predictive_accuracy 0.825 predictive_accuracy 0.845 predictive_accuracy 0.825 predictive_accuracy 0.87 predictive_accuracy 0.8 predictive_accuracy 0.845 predictive_accuracy 0.835 predictive_accuracy 0.87 predictive_accuracy 0.84 predictive_accuracy 0.825 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 0.825 [0.95,0.9,0.95,0.8,0.9,1,0.4,0.9,1,0.45] recall 0.845 [1,0.8,0.95,0.85,0.75,0.9,0.55,0.95,0.95,0.75] recall 0.825 [1,0.8,1,0.85,0.95,0.9,0.55,0.85,1,0.35] recall 0.87 [1,0.75,0.95,1,0.9,0.8,0.7,0.85,0.95,0.8] recall 0.8 [1,0.65,0.95,0.85,0.8,0.85,0.5,0.95,1,0.45] recall 0.845 [1,0.8,1,0.85,0.75,0.95,0.7,1,1,0.4] recall 0.835 [1,0.8,0.85,0.95,0.8,0.95,0.55,1,1,0.45] recall 0.87 [1,0.8,1,0.9,0.7,0.95,0.8,1,0.95,0.6] recall 0.84 [1,0.75,1,1,0.8,0.9,0.25,1,1,0.7] recall 0.825 [1,0.8,0.9,0.8,0.75,0.95,0.5,1,0.9,0.65] relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.19444444444444475 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 0.1870828693386971 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.1870828693386971 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6236095644623241 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 335.7979729989893 usercpu_time_millis 329.1488919930998 usercpu_time_millis 329.0827739983797 usercpu_time_millis 329.75148500554496 usercpu_time_millis 330.33891300146934 usercpu_time_millis 334.98435700312257 usercpu_time_millis 332.2830520046409 usercpu_time_millis 332.751483998436 usercpu_time_millis 333.10960700327996 usercpu_time_millis 327.428456992493 usercpu_time_millis_testing 37.65016700344859 usercpu_time_millis_testing 37.54618999664672 usercpu_time_millis_testing 38.01259199826745 usercpu_time_millis_testing 37.28072700323537 usercpu_time_millis_testing 37.289697997039184 usercpu_time_millis_testing 38.17741000239039 usercpu_time_millis_testing 38.24462500051595 usercpu_time_millis_testing 37.65956900315359 usercpu_time_millis_testing 37.447618997248355 usercpu_time_millis_testing 37.25230699637905 usercpu_time_millis_training 298.1478059955407 usercpu_time_millis_training 291.6027019964531 usercpu_time_millis_training 291.07018200011225 usercpu_time_millis_training 292.4707580023096 usercpu_time_millis_training 293.04921500443015 usercpu_time_millis_training 296.8069470007322 usercpu_time_millis_training 294.03842700412497 usercpu_time_millis_training 295.0919149952824 usercpu_time_millis_training 295.6619880060316 usercpu_time_millis_training 290.17614999611396 wall_clock_time_millis 602.8022766113281 wall_clock_time_millis 361.189603805542 wall_clock_time_millis 329.12373542785645 wall_clock_time_millis 329.8375606536865 wall_clock_time_millis 346.4202880859375 wall_clock_time_millis 363.04616928100586 wall_clock_time_millis 360.38899421691895 wall_clock_time_millis 496.81639671325684 wall_clock_time_millis 333.1878185272217 wall_clock_time_millis 327.50654220581055 wall_clock_time_millis_testing 85.65592765808105 wall_clock_time_millis_testing 37.55998611450195 wall_clock_time_millis_testing 38.02990913391113 wall_clock_time_millis_testing 37.29653358459473 wall_clock_time_millis_testing 37.30463981628418 wall_clock_time_millis_testing 38.19084167480469 wall_clock_time_millis_testing 66.28060340881348 wall_clock_time_millis_testing 37.674665451049805 wall_clock_time_millis_testing 37.461280822753906 wall_clock_time_millis_testing 37.26696968078613 wall_clock_time_millis_training 517.1463489532471 wall_clock_time_millis_training 323.62961769104004 wall_clock_time_millis_training 291.0938262939453 wall_clock_time_millis_training 292.5410270690918 wall_clock_time_millis_training 309.1156482696533 wall_clock_time_millis_training 324.8553276062012 wall_clock_time_millis_training 294.10839080810547 wall_clock_time_millis_training 459.14173126220703 wall_clock_time_millis_training 295.7265377044678 wall_clock_time_millis_training 290.2395725250244