10397975 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) 8235804 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 1479.684750929223 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9352863440122492 16360 decision_function_shape "ovr" 16360 degree 1 16360 gamma 5.9403103232131136e-05 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 21717695 description https://api.openml.org/data/download/21717695/description.xml -1 21717696 predictions https://api.openml.org/data/download/21717696/predictions.arff area_under_roc_curve 0.9759036144578314 [0.975904,0.975904] average_cost 0 f_measure 0.983197719736996 [0.975309,0.987382] kappa 0.9627019661280903 kb_relative_information_score 0.9615707389325503 mean_absolute_error 0.016701461377870562 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9837147744197088 [1,0.975078] predictive_accuracy 0.9832985386221295 prior_entropy 0.9309543116818706 recall 0.9832985386221295 [0.951807,1] relative_absolute_error 0.03686795224448042 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.1292341339502477 root_relative_squared_error 0.2715729059265659 total_cost 0 area_under_roc_curve 0.9393939393939394 [0.939394,0.939394] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9696969696969697 [0.969697,0.969697] area_under_roc_curve 0.9848484848484849 [0.984848,0.984848] area_under_roc_curve 0.9696969696969697 [0.969697,0.969697] area_under_roc_curve 0.9705882352941178 [0.970588,0.970588] area_under_roc_curve 0.9705882352941178 [0.970588,0.970588] area_under_roc_curve 0.9696969696969697 [0.969697,0.969697] area_under_roc_curve 0.9848484848484849 [0.984848,0.984848] 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 0.9576302729528535 [0.935484,0.969231] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.97900390625 [0.96875,0.984375] f_measure 0.9895442156268928 [0.984615,0.992126] f_measure 0.97900390625 [0.96875,0.984375] f_measure 0.979016354016354 [0.969697,0.984127] f_measure 0.979016354016354 [0.969697,0.984127] f_measure 0.9787855054302422 [0.96875,0.984127] f_measure 0.9894348178137651 [0.984615,0.992] kappa 0.9049034175334325 kappa 1 kappa 1 kappa 0.953147877013177 kappa 0.9767441860465117 kappa 0.953147877013177 kappa 0.9538461538461538 kappa 0.9538461538461538 kappa 0.9529003470500744 kappa 0.9766182623677085 kb_relative_information_score 0.9038625207803244 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 0.9519312603901624 kb_relative_information_score 0.9759656301950811 kb_relative_information_score 0.951931260390162 kb_relative_information_score 0.9524186512152097 kb_relative_information_score 0.9524186512152097 kb_relative_information_score 0.9515974996641101 kb_relative_information_score 0.975798749832055 mean_absolute_error 0.041666666666666664 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.020833333333333332 mean_absolute_error 0.010416666666666666 mean_absolute_error 0.020833333333333332 mean_absolute_error 0.020833333333333332 mean_absolute_error 0.020833333333333332 mean_absolute_error 0.021052631578947368 mean_absolute_error 0.010526315789473684 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] precision 0.9608208955223881 [1,0.940299] precision 1 [1,1] precision 1 [1,1] precision 0.9798076923076923 [1,0.969231] precision 0.98974609375 [1,0.984375] precision 0.9798076923076923 [1,0.969231] precision 0.9798177083333334 [1,0.96875] precision 0.9798177083333334 [1,0.96875] precision 0.9796052631578948 [1,0.96875] precision 0.989640768588137 [1,0.984127] predictive_accuracy 0.9583333333333333 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9895833333333333 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9789473684210526 predictive_accuracy 0.9894736842105263 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 0.9583333333333334 [0.878788,1] recall 1 [1,1] recall 1 [1,1] recall 0.9791666666666666 [0.939394,1] recall 0.9895833333333334 [0.969697,1] recall 0.9791666666666666 [0.939394,1] recall 0.9791666666666666 [0.941176,1] recall 0.9791666666666666 [0.941176,1] recall 0.9789473684210527 [0.939394,1] recall 0.9894736842105263 [0.969697,1] relative_absolute_error 0.09215262778977668 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.04607631389488834 relative_absolute_error 0.02303815694744417 relative_absolute_error 0.04607631389488834 relative_absolute_error 0.04575350300257356 relative_absolute_error 0.04575350300257356 relative_absolute_error 0.04644749256114371 relative_absolute_error 0.023223746280571854 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 0.2041241452319315 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.14433756729740643 root_mean_squared_error 0.10206207261596575 root_mean_squared_error 0.14433756729740643 root_mean_squared_error 0.14433756729740643 root_mean_squared_error 0.14433756729740643 root_mean_squared_error 0.14509525002200233 root_mean_squared_error 0.10259783520851541 root_relative_squared_error 0.42976294535261955 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.30388829296154096 root_relative_squared_error 0.21488147267630978 root_relative_squared_error 0.30388829296154096 root_relative_squared_error 0.3017622029517878 root_relative_squared_error 0.3017622029517878 root_relative_squared_error 0.30473599293898135 root_relative_squared_error 0.2154808870787696 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 359.3199999995704 usercpu_time_millis 355.7760000003327 usercpu_time_millis 316.1980000004405 usercpu_time_millis 348.2900000017253 usercpu_time_millis 375.6080000021029 usercpu_time_millis 372.46399999639834 usercpu_time_millis 414.8579999964568 usercpu_time_millis 421.040000001085 usercpu_time_millis 455.9819999994943 usercpu_time_millis 391.08000000123866 usercpu_time_millis_testing 12.488000000303145 usercpu_time_millis_testing 11.755999999877531 usercpu_time_millis_testing 9.883999999146909 usercpu_time_millis_testing 13.522000001103152 usercpu_time_millis_testing 10.260000002745073 usercpu_time_millis_testing 10.237999998935265 usercpu_time_millis_testing 10.017999997216975 usercpu_time_millis_testing 17.406000002665678 usercpu_time_millis_testing 14.763999999559019 usercpu_time_millis_testing 19.140000000334112 usercpu_time_millis_training 346.8319999992673 usercpu_time_millis_training 344.0200000004552 usercpu_time_millis_training 306.3140000012936 usercpu_time_millis_training 334.7680000006221 usercpu_time_millis_training 365.34799999935785 usercpu_time_millis_training 362.2259999974631 usercpu_time_millis_training 404.8399999992398 usercpu_time_millis_training 403.6339999984193 usercpu_time_millis_training 441.2179999999353 usercpu_time_millis_training 371.94000000090455 wall_clock_time_millis 188.68422508239746 wall_clock_time_millis 179.55327033996582 wall_clock_time_millis 159.0259075164795 wall_clock_time_millis 175.89712142944336 wall_clock_time_millis 189.03398513793945 wall_clock_time_millis 187.32190132141113 wall_clock_time_millis 302.6268482208252 wall_clock_time_millis 295.12596130371094 wall_clock_time_millis 307.74784088134766 wall_clock_time_millis 239.27950859069824 wall_clock_time_millis_testing 6.9751739501953125 wall_clock_time_millis_testing 5.903005599975586 wall_clock_time_millis_testing 4.98199462890625 wall_clock_time_millis_testing 6.782054901123047 wall_clock_time_millis_testing 5.147218704223633 wall_clock_time_millis_testing 5.132913589477539 wall_clock_time_millis_testing 5.101919174194336 wall_clock_time_millis_testing 9.925127029418945 wall_clock_time_millis_testing 9.747743606567383 wall_clock_time_millis_testing 13.202190399169922 wall_clock_time_millis_training 181.70905113220215 wall_clock_time_millis_training 173.65026473999023 wall_clock_time_millis_training 154.04391288757324 wall_clock_time_millis_training 169.1150665283203 wall_clock_time_millis_training 183.88676643371582 wall_clock_time_millis_training 182.1889877319336 wall_clock_time_millis_training 297.52492904663086 wall_clock_time_millis_training 285.200834274292 wall_clock_time_millis_training 298.0000972747803 wall_clock_time_millis_training 226.07731819152832