10331161 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) 8186728 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 1.68536554317688 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2168646578884883 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0008080068502590277 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 56622 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 21584021 description https://api.openml.org/data/download/21584021/description.xml -1 21584022 predictions https://api.openml.org/data/download/21584022/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 95.54703799994968 usercpu_time_millis 94.5643929999278 usercpu_time_millis 94.51028099999803 usercpu_time_millis 94.54655100012133 usercpu_time_millis 96.75945399999364 usercpu_time_millis 95.25723800004471 usercpu_time_millis 96.05502800002341 usercpu_time_millis 96.97175400003744 usercpu_time_millis 96.9055829999661 usercpu_time_millis 97.6693619999196 usercpu_time_millis_testing 9.519218999912482 usercpu_time_millis_testing 9.390764999920975 usercpu_time_millis_testing 9.422442999948544 usercpu_time_millis_testing 9.317977000023348 usercpu_time_millis_testing 9.452229999965311 usercpu_time_millis_testing 9.486117000051308 usercpu_time_millis_testing 9.760881000033805 usercpu_time_millis_testing 9.947796000005837 usercpu_time_millis_testing 9.64836599996488 usercpu_time_millis_testing 9.86043399996106 usercpu_time_millis_training 86.0278190000372 usercpu_time_millis_training 85.17362800000683 usercpu_time_millis_training 85.08783800004949 usercpu_time_millis_training 85.22857400009798 usercpu_time_millis_training 87.30722400002833 usercpu_time_millis_training 85.7711209999934 usercpu_time_millis_training 86.29414699998961 usercpu_time_millis_training 87.0239580000316 usercpu_time_millis_training 87.25721700000122 usercpu_time_millis_training 87.80892799995854 wall_clock_time_millis 95.76845169067383 wall_clock_time_millis 94.60306167602539 wall_clock_time_millis 94.61092948913574 wall_clock_time_millis 94.5882797241211 wall_clock_time_millis 97.20659255981445 wall_clock_time_millis 95.27873992919922 wall_clock_time_millis 144.1061496734619 wall_clock_time_millis 97.04995155334473 wall_clock_time_millis 97.0008373260498 wall_clock_time_millis 97.74446487426758 wall_clock_time_millis_testing 9.529829025268555 wall_clock_time_millis_testing 9.401798248291016 wall_clock_time_millis_testing 9.432315826416016 wall_clock_time_millis_testing 9.328603744506836 wall_clock_time_millis_testing 9.867668151855469 wall_clock_time_millis_testing 9.495973587036133 wall_clock_time_millis_testing 9.770631790161133 wall_clock_time_millis_testing 9.957551956176758 wall_clock_time_millis_testing 9.657621383666992 wall_clock_time_millis_testing 9.870529174804688 wall_clock_time_millis_training 86.23862266540527 wall_clock_time_millis_training 85.20126342773438 wall_clock_time_millis_training 85.17861366271973 wall_clock_time_millis_training 85.25967597961426 wall_clock_time_millis_training 87.33892440795898 wall_clock_time_millis_training 85.78276634216309 wall_clock_time_millis_training 134.33551788330078 wall_clock_time_millis_training 87.09239959716797 wall_clock_time_millis_training 87.34321594238281 wall_clock_time_millis_training 87.87393569946289