10366108 8323 Heinrich Peters 49 Supervised Classification 16347 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1) 8221461 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 2.1952612603322996 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.08285835069252112 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 5.217284431214832 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 42687 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16347 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16347 verbose false 16347 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 openml-python Sklearn_0.21.2. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21653921 description https://api.openml.org/data/download/21653921/description.xml -1 21653922 predictions https://api.openml.org/data/download/21653922/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 0.20259283285041513 mean_absolute_error 0.3465553235908142 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] predictive_accuracy 0.6534446764091858 prior_entropy 0.9309543116818706 recall 0.6534446764091858 [0,1] relative_absolute_error 0.7650100090729687 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.5886894967559845 root_relative_squared_error 1.2370734606695912 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 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 0.20686579643767725 kb_relative_information_score 0.20686579643767725 kb_relative_information_score 0.20686579643767725 kb_relative_information_score 0.20686579643767725 kb_relative_information_score 0.20686579643767725 kb_relative_information_score 0.20686579643767725 kb_relative_information_score 0.19111707065856604 kb_relative_information_score 0.19111707065856604 kb_relative_information_score 0.20135874445781998 kb_relative_information_score 0.20135874445781998 mean_absolute_error 0.34375 mean_absolute_error 0.34375 mean_absolute_error 0.34375 mean_absolute_error 0.34375 mean_absolute_error 0.34375 mean_absolute_error 0.34375 mean_absolute_error 0.3541666666666667 mean_absolute_error 0.3541666666666667 mean_absolute_error 0.3473684210526316 mean_absolute_error 0.3473684210526316 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.45325657894736904 mean_prior_absolute_error 0.45325657894736904 number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [34,62] number_of_instances 96 [34,62] number_of_instances 95 [33,62] number_of_instances 95 [33,62] predictive_accuracy 0.65625 predictive_accuracy 0.65625 predictive_accuracy 0.65625 predictive_accuracy 0.65625 predictive_accuracy 0.65625 predictive_accuracy 0.65625 predictive_accuracy 0.6458333333333333 predictive_accuracy 0.6458333333333333 predictive_accuracy 0.6526315789473683 predictive_accuracy 0.6526315789473683 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9379030360861306 prior_entropy 0.9379030360861306 prior_entropy 0.9316966235340134 prior_entropy 0.9316966235340134 recall 0.65625 [0,1] recall 0.65625 [0,1] recall 0.65625 [0,1] recall 0.65625 [0,1] recall 0.65625 [0,1] recall 0.65625 [0,1] recall 0.6458333333333334 [0,1] recall 0.6458333333333334 [0,1] recall 0.6526315789473685 [0,1] recall 0.6526315789473685 [0,1] relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7602591792656577 relative_absolute_error 0.7778095510437508 relative_absolute_error 0.7778095510437508 relative_absolute_error 0.7663836272588712 relative_absolute_error 0.7663836272588712 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4761342715793188 root_mean_prior_squared_error 0.4761342715793188 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.5951190357119042 root_mean_squared_error 0.5951190357119042 root_mean_squared_error 0.5893796917545019 root_mean_squared_error 0.5893796917545019 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2344000813694114 root_relative_squared_error 1.2441974365892945 root_relative_squared_error 1.2441974365892945 root_relative_squared_error 1.237843454955579 root_relative_squared_error 1.237843454955579 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 192.79959199997165 usercpu_time_millis 132.7137600000583 usercpu_time_millis 127.0050720000313 usercpu_time_millis 127.5408440000092 usercpu_time_millis 129.49954000004027 usercpu_time_millis 128.01850300002116 usercpu_time_millis 161.17406800003664 usercpu_time_millis 128.55795500007616 usercpu_time_millis 129.75635899999816 usercpu_time_millis 132.99146499997505 usercpu_time_millis_testing 16.522942999984025 usercpu_time_millis_testing 10.556322000013552 usercpu_time_millis_testing 10.689162999995006 usercpu_time_millis_testing 10.686561999989408 usercpu_time_millis_testing 10.939726999993127 usercpu_time_millis_testing 10.730491999993319 usercpu_time_millis_testing 15.75539300000628 usercpu_time_millis_testing 10.666460000038569 usercpu_time_millis_testing 10.776410000005399 usercpu_time_millis_testing 10.679633999984617 usercpu_time_millis_training 176.27664899998763 usercpu_time_millis_training 122.15743800004475 usercpu_time_millis_training 116.3159090000363 usercpu_time_millis_training 116.8542820000198 usercpu_time_millis_training 118.55981300004714 usercpu_time_millis_training 117.28801100002784 usercpu_time_millis_training 145.41867500003036 usercpu_time_millis_training 117.8914950000376 usercpu_time_millis_training 118.97994899999276 usercpu_time_millis_training 122.31183099999043 wall_clock_time_millis 193.9103603363037 wall_clock_time_millis 132.7221393585205 wall_clock_time_millis 127.01702117919922 wall_clock_time_millis 127.54940986633301 wall_clock_time_millis 129.6713352203369 wall_clock_time_millis 128.11779975891113 wall_clock_time_millis 161.23247146606445 wall_clock_time_millis 128.6296844482422 wall_clock_time_millis 129.90355491638184 wall_clock_time_millis 133.18753242492676 wall_clock_time_millis_testing 16.644001007080078 wall_clock_time_millis_testing 10.560750961303711 wall_clock_time_millis_testing 10.69498062133789 wall_clock_time_millis_testing 10.692834854125977 wall_clock_time_millis_testing 10.989665985107422 wall_clock_time_millis_testing 10.73598861694336 wall_clock_time_millis_testing 15.762567520141602 wall_clock_time_millis_testing 10.672330856323242 wall_clock_time_millis_testing 10.782480239868164 wall_clock_time_millis_testing 10.686635971069336 wall_clock_time_millis_training 177.26635932922363 wall_clock_time_millis_training 122.1613883972168 wall_clock_time_millis_training 116.32204055786133 wall_clock_time_millis_training 116.85657501220703 wall_clock_time_millis_training 118.68166923522949 wall_clock_time_millis_training 117.38181114196777 wall_clock_time_millis_training 145.46990394592285 wall_clock_time_millis_training 117.95735359191895 wall_clock_time_millis_training 119.12107467651367 wall_clock_time_millis_training 122.50089645385742