10397949 8323 Heinrich Peters 49 Supervised Classification 16366 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(2) 8235959 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 8829.986986237445 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 2.305877221785047 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 1 16360 shrinking true 16360 tol 0.001 16360 verbose false 16360 categorical_features null 16365 categories null 16365 drop null 16365 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16365 handle_unknown "ignore" 16365 n_values null 16365 sparse true 16365 memory null 16366 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"}}] 16366 verbose false 16366 openml-python Sklearn_0.21.2. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21717643 description https://api.openml.org/data/download/21717643/description.xml -1 21717644 predictions https://api.openml.org/data/download/21717644/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 200.3420000000915 usercpu_time_millis 201.2060000015481 usercpu_time_millis 200.04599999811035 usercpu_time_millis 194.05600000027334 usercpu_time_millis 211.69000000372762 usercpu_time_millis 203.82400000380585 usercpu_time_millis 190.10200000047917 usercpu_time_millis 187.90199999784818 usercpu_time_millis 182.89999999979045 usercpu_time_millis 185.7799999997951 usercpu_time_millis_testing 19.04400000057649 usercpu_time_millis_testing 25.0560000022233 usercpu_time_millis_testing 22.293999998510117 usercpu_time_millis_testing 13.93600000301376 usercpu_time_millis_testing 12.634000002435641 usercpu_time_millis_testing 21.88400000159163 usercpu_time_millis_testing 17.631999999139225 usercpu_time_millis_testing 20.885999998426996 usercpu_time_millis_testing 18.9539999992121 usercpu_time_millis_testing 19.005999998626066 usercpu_time_millis_training 181.297999999515 usercpu_time_millis_training 176.1499999993248 usercpu_time_millis_training 177.75199999960023 usercpu_time_millis_training 180.11999999725958 usercpu_time_millis_training 199.05600000129198 usercpu_time_millis_training 181.94000000221422 usercpu_time_millis_training 172.47000000133994 usercpu_time_millis_training 167.01599999942118 usercpu_time_millis_training 163.94600000057835 usercpu_time_millis_training 166.77400000116904 wall_clock_time_millis 111.28473281860352 wall_clock_time_millis 129.88662719726562 wall_clock_time_millis 127.23779678344727 wall_clock_time_millis 113.83819580078125 wall_clock_time_millis 133.79693031311035 wall_clock_time_millis 128.2351016998291 wall_clock_time_millis 111.7098331451416 wall_clock_time_millis 120.68390846252441 wall_clock_time_millis 99.49731826782227 wall_clock_time_millis 127.27904319763184 wall_clock_time_millis_testing 10.57887077331543 wall_clock_time_millis_testing 13.424873352050781 wall_clock_time_millis_testing 11.511087417602539 wall_clock_time_millis_testing 8.185148239135742 wall_clock_time_millis_testing 6.323099136352539 wall_clock_time_millis_testing 14.7552490234375 wall_clock_time_millis_testing 11.394739151000977 wall_clock_time_millis_testing 12.584924697875977 wall_clock_time_millis_testing 11.878252029418945 wall_clock_time_millis_testing 17.08197593688965 wall_clock_time_millis_training 100.70586204528809 wall_clock_time_millis_training 116.46175384521484 wall_clock_time_millis_training 115.72670936584473 wall_clock_time_millis_training 105.65304756164551 wall_clock_time_millis_training 127.47383117675781 wall_clock_time_millis_training 113.4798526763916 wall_clock_time_millis_training 100.31509399414062 wall_clock_time_millis_training 108.09898376464844 wall_clock_time_millis_training 87.61906623840332 wall_clock_time_millis_training 110.19706726074219