10424937 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) 8256066 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 513.6546159384284 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.16364828944715204 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.3170962383864124 13389 kernel "rbf" 13389 max_iter -1 13389 probability true 13389 random_state 1 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 21772389 description https://api.openml.org/data/download/21772389/description.xml -1 21772390 predictions https://api.openml.org/data/download/21772390/predictions.arff area_under_roc_curve 0.9998508410639363 [0.999851,0.999851] average_cost 0 f_measure 0.9926744980933483 [0.989346,0.99444] kappa 0.9837865021300464 kb_relative_information_score 0.9736980067317391 mean_absolute_error 0.01329919722769516 mean_prior_absolute_error 0.45300756784968915 weighted_recall 0.9926931106471816 [0.978916,1] number_of_instances 958 [332,626] precision 0.9927739135310201 [1,0.988942] predictive_accuracy 0.9926931106471817 prior_entropy 0.9309543116818706 relative_absolute_error 0.029357560825800422 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.06937088084062798 root_relative_squared_error 0.14577612833949563 total_cost 0 unweighted_recall 0.9894578313253012 [0.978916,1] area_under_roc_curve 0.9990379990379991 [0.999038,0.999038] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9995189995189996 [0.999519,0.999519] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] 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 0.97900390625 [0.96875,0.984375] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9895442156268928 [0.984615,0.992126] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.989547263681592 [0.985075,0.992] f_measure 0.979016354016354 [0.969697,0.984127] f_measure 0.9894348178137651 [0.984615,0.992] f_measure 1 [1,1] kappa 0.953147877013177 kappa 1 kappa 1 kappa 0.9767441860465117 kappa 1 kappa 1 kappa 0.9770773638968482 kappa 0.9538461538461538 kappa 0.9766182623677085 kappa 1 kb_relative_information_score 0.9452597710155088 kb_relative_information_score 0.9925273400449106 kb_relative_information_score 0.991338039189549 kb_relative_information_score 0.9503219512934687 kb_relative_information_score 0.9777009923412046 kb_relative_information_score 0.9842392507759935 kb_relative_information_score 0.9796352204566493 kb_relative_information_score 0.9602215754464541 kb_relative_information_score 0.9637820211321837 kb_relative_information_score 0.992089575825749 mean_absolute_error 0.024909747151164105 mean_absolute_error 0.004530831089617374 mean_absolute_error 0.0053627497208112085 mean_absolute_error 0.02292245639416605 mean_absolute_error 0.012995534402907476 mean_absolute_error 0.009303471889171173 mean_absolute_error 0.010643526633362913 mean_absolute_error 0.019402713643882224 mean_absolute_error 0.017864805775486284 mean_absolute_error 0.005017425543713942 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 0.9798076923076923 [1,0.969231] precision 1 [1,1] precision 1 [1,1] precision 0.98974609375 [1,0.984375] precision 1 [1,1] precision 1 [1,1] precision 0.9897486772486772 [1,0.984127] precision 0.9798177083333334 [1,0.96875] precision 0.989640768588137 [1,0.984127] precision 1 [1,1] predictive_accuracy 0.9791666666666667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9895833333333333 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9895833333333333 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9894736842105263 predictive_accuracy 1 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 relative_absolute_error 0.05509196778140822 relative_absolute_error 0.010020671783516597 relative_absolute_error 0.01186059549483946 relative_absolute_error 0.0506967502108553 relative_absolute_error 0.02874174347424889 relative_absolute_error 0.0205761451717306 relative_absolute_error 0.023374974133322002 relative_absolute_error 0.04261162161424514 relative_absolute_error 0.03941433308475087 relative_absolute_error 0.011069724691842921 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 0.1245322809711862 root_mean_squared_error 0.02191929324602536 root_mean_squared_error 0.019556720439229867 root_mean_squared_error 0.10142559289870187 root_mean_squared_error 0.047468130789543865 root_mean_squared_error 0.03772629907766992 root_mean_squared_error 0.05726420854806253 root_mean_squared_error 0.08786417475705346 root_mean_squared_error 0.08114591515185685 root_mean_squared_error 0.013210697946722152 root_relative_squared_error 0.2621902460429009 root_relative_squared_error 0.04614887677670989 root_relative_squared_error 0.04117471633672484 root_relative_squared_error 0.21354142837318374 root_relative_squared_error 0.09993939558359764 root_relative_squared_error 0.07942894453006118 root_relative_squared_error 0.11972055539877767 root_relative_squared_error 0.18369498275246143 root_relative_squared_error 0.17042653720913437 root_relative_squared_error 0.02774574050908535 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 unweighted_recall 0.9696969696969697 [0.939394,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9848484848484849 [0.969697,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9852941176470589 [0.970588,1] unweighted_recall 0.9705882352941176 [0.941176,1] unweighted_recall 0.9848484848484849 [0.969697,1] unweighted_recall 1 [1,1] usercpu_time_millis 459.31006399996477 usercpu_time_millis 464.9297880000631 usercpu_time_millis 462.8699120000874 usercpu_time_millis 453.72252700008175 usercpu_time_millis 456.19574600004853 usercpu_time_millis 452.16263500014975 usercpu_time_millis 452.3747359999106 usercpu_time_millis 453.58596899973236 usercpu_time_millis 449.9154479999561 usercpu_time_millis 452.45421799972974 usercpu_time_millis_testing 9.089300999903571 usercpu_time_millis_testing 8.936118000065107 usercpu_time_millis_testing 8.888385000091148 usercpu_time_millis_testing 8.626044000038746 usercpu_time_millis_testing 8.690543000057005 usercpu_time_millis_testing 8.76115000005484 usercpu_time_millis_testing 8.670900999959485 usercpu_time_millis_testing 8.663943999863477 usercpu_time_millis_testing 8.431491000010283 usercpu_time_millis_testing 8.596542999839585 usercpu_time_millis_training 450.2207630000612 usercpu_time_millis_training 455.993669999998 usercpu_time_millis_training 453.9815269999963 usercpu_time_millis_training 445.096483000043 usercpu_time_millis_training 447.5052029999915 usercpu_time_millis_training 443.4014850000949 usercpu_time_millis_training 443.70383499995114 usercpu_time_millis_training 444.9220249998689 usercpu_time_millis_training 441.4839569999458 usercpu_time_millis_training 443.85767499989015 wall_clock_time_millis 459.31410789489746 wall_clock_time_millis 464.935302734375 wall_clock_time_millis 462.8756046295166 wall_clock_time_millis 453.73010635375977 wall_clock_time_millis 456.2232494354248 wall_clock_time_millis 452.17251777648926 wall_clock_time_millis 452.3782730102539 wall_clock_time_millis 453.59182357788086 wall_clock_time_millis 449.97715950012207 wall_clock_time_millis 452.45957374572754 wall_clock_time_millis_testing 9.092092514038086 wall_clock_time_millis_testing 8.938312530517578 wall_clock_time_millis_testing 8.890867233276367 wall_clock_time_millis_testing 8.631467819213867 wall_clock_time_millis_testing 8.692502975463867 wall_clock_time_millis_testing 8.763551712036133 wall_clock_time_millis_testing 8.673429489135742 wall_clock_time_millis_testing 8.666038513183594 wall_clock_time_millis_testing 8.43358039855957 wall_clock_time_millis_testing 8.599042892456055 wall_clock_time_millis_training 450.2220153808594 wall_clock_time_millis_training 455.9969902038574 wall_clock_time_millis_training 453.98473739624023 wall_clock_time_millis_training 445.0986385345459 wall_clock_time_millis_training 447.53074645996094 wall_clock_time_millis_training 443.4089660644531 wall_clock_time_millis_training 443.70484352111816 wall_clock_time_millis_training 444.92578506469727 wall_clock_time_millis_training 441.5435791015625 wall_clock_time_millis_training 443.8605308532715 weighted_recall 0.9791666666666666 [0.939394,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9895833333333334 [0.969697,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9895833333333334 [0.970588,1] weighted_recall 0.9791666666666666 [0.941176,1] weighted_recall 0.9894736842105263 [0.969697,1] weighted_recall 1 [1,1]