10415251 1 Jan van Rijn 12 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8252994 C 0.2544754483958293 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.6803606926442072 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.00035302025171969766 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 52159 16360 shrinking false 16360 tol 7.57113093185267e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 12 mfeat-factors https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff -1 21752311 description https://api.openml.org/data/download/21752311/description.xml -1 21752312 predictions https://api.openml.org/data/download/21752312/predictions.arff area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 0.05881825849539555 mean_absolute_error 0.17999999999999405 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.1 prior_entropy 3.3219280948872383 recall 0.1 [0,0,0,0,0,0,0,0,0,1] relative_absolute_error 0.9999999999999362 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4242640687119215 root_relative_squared_error 1.4142135623730498 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 kb_relative_information_score 0.05881825849539238 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17999999999999985 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] predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 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 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] recall 0.1 [0,0,0,0,0,0,0,0,0,1] relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 relative_absolute_error 1.0000000000000002 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 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42426406871192834 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4142135623730951 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 1912.4901790000877 usercpu_time_millis 1910.4436789998545 usercpu_time_millis 1900.2689159997317 usercpu_time_millis 1901.7181889998938 usercpu_time_millis 1899.537017000057 usercpu_time_millis 1900.6837899996754 usercpu_time_millis 1898.5924430003251 usercpu_time_millis 1903.395957000157 usercpu_time_millis 1897.8498520000358 usercpu_time_millis 1898.2564230000207 usercpu_time_millis_testing 113.288078000096 usercpu_time_millis_testing 111.69642400000157 usercpu_time_millis_testing 111.21021200005998 usercpu_time_millis_testing 111.61584000001312 usercpu_time_millis_testing 111.54016499995123 usercpu_time_millis_testing 111.39692099959575 usercpu_time_millis_testing 111.11390700034462 usercpu_time_millis_testing 111.46893400018598 usercpu_time_millis_testing 110.98639000010735 usercpu_time_millis_testing 111.08783700001368 usercpu_time_millis_training 1799.2021009999917 usercpu_time_millis_training 1798.7472549998529 usercpu_time_millis_training 1789.0587039996717 usercpu_time_millis_training 1790.1023489998806 usercpu_time_millis_training 1787.9968520001057 usercpu_time_millis_training 1789.2868690000796 usercpu_time_millis_training 1787.4785359999805 usercpu_time_millis_training 1791.927022999971 usercpu_time_millis_training 1786.8634619999284 usercpu_time_millis_training 1787.168586000007 wall_clock_time_millis 9276.791334152222 wall_clock_time_millis 9407.063245773315 wall_clock_time_millis 1900.1591205596924 wall_clock_time_millis 1901.6108512878418 wall_clock_time_millis 2025.2163410186768 wall_clock_time_millis 2412.2390747070312 wall_clock_time_millis 1950.0300884246826 wall_clock_time_millis 1903.2914638519287 wall_clock_time_millis 1897.7313041687012 wall_clock_time_millis 1898.1387615203857 wall_clock_time_millis_testing 629.9829483032227 wall_clock_time_millis_testing 111.69147491455078 wall_clock_time_millis_testing 111.20867729187012 wall_clock_time_millis_testing 111.6170883178711 wall_clock_time_millis_testing 165.59338569641113 wall_clock_time_millis_testing 227.67877578735352 wall_clock_time_millis_testing 111.11187934875488 wall_clock_time_millis_testing 111.4647388458252 wall_clock_time_millis_testing 110.98265647888184 wall_clock_time_millis_testing 111.08231544494629 wall_clock_time_millis_training 8646.808385848999 wall_clock_time_millis_training 9295.371770858765 wall_clock_time_millis_training 1788.9504432678223 wall_clock_time_millis_training 1789.9937629699707 wall_clock_time_millis_training 1859.6229553222656 wall_clock_time_millis_training 2184.5602989196777 wall_clock_time_millis_training 1838.9182090759277 wall_clock_time_millis_training 1791.8267250061035 wall_clock_time_millis_training 1786.7486476898193 wall_clock_time_millis_training 1787.0564460754395