10397931 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) 8235854 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 5.74148399010259 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.6335373153784345 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.00873482050378385 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 21717607 description https://api.openml.org/data/download/21717607/description.xml -1 21717608 predictions https://api.openml.org/data/download/21717608/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 142.6019999998971 usercpu_time_millis 154.51799999937066 usercpu_time_millis 123.48000000201864 usercpu_time_millis 130.49799999862444 usercpu_time_millis 137.24599999841303 usercpu_time_millis 135.82600000154343 usercpu_time_millis 115.77399999805493 usercpu_time_millis 140.21000000138883 usercpu_time_millis 120.5679999984568 usercpu_time_millis 143.45200000025216 usercpu_time_millis_testing 12.967999999091262 usercpu_time_millis_testing 17.697999999654712 usercpu_time_millis_testing 14.780000001337612 usercpu_time_millis_testing 13.685999998415355 usercpu_time_millis_testing 10.959999999613501 usercpu_time_millis_testing 14.888000001519686 usercpu_time_millis_testing 10.823999997228384 usercpu_time_millis_testing 14.26999999966938 usercpu_time_millis_testing 11.459999997896375 usercpu_time_millis_testing 9.86199999897508 usercpu_time_millis_training 129.63400000080583 usercpu_time_millis_training 136.81999999971595 usercpu_time_millis_training 108.70000000068103 usercpu_time_millis_training 116.81200000020908 usercpu_time_millis_training 126.28599999879953 usercpu_time_millis_training 120.93800000002375 usercpu_time_millis_training 104.95000000082655 usercpu_time_millis_training 125.94000000171945 usercpu_time_millis_training 109.10800000056042 usercpu_time_millis_training 133.59000000127708 wall_clock_time_millis 75.93464851379395 wall_clock_time_millis 93.45507621765137 wall_clock_time_millis 78.57418060302734 wall_clock_time_millis 78.72796058654785 wall_clock_time_millis 73.83561134338379 wall_clock_time_millis 79.58817481994629 wall_clock_time_millis 74.60975646972656 wall_clock_time_millis 89.3707275390625 wall_clock_time_millis 72.7086067199707 wall_clock_time_millis 81.49290084838867 wall_clock_time_millis_testing 6.572723388671875 wall_clock_time_millis_testing 12.022972106933594 wall_clock_time_millis_testing 10.369062423706055 wall_clock_time_millis_testing 6.952047348022461 wall_clock_time_millis_testing 5.523920059204102 wall_clock_time_millis_testing 11.78598403930664 wall_clock_time_millis_testing 6.094694137573242 wall_clock_time_millis_testing 8.210897445678711 wall_clock_time_millis_testing 5.760908126831055 wall_clock_time_millis_testing 5.110025405883789 wall_clock_time_millis_training 69.36192512512207 wall_clock_time_millis_training 81.43210411071777 wall_clock_time_millis_training 68.20511817932129 wall_clock_time_millis_training 71.77591323852539 wall_clock_time_millis_training 68.31169128417969 wall_clock_time_millis_training 67.80219078063965 wall_clock_time_millis_training 68.51506233215332 wall_clock_time_millis_training 81.15983009338379 wall_clock_time_millis_training 66.94769859313965 wall_clock_time_millis_training 76.38287544250488