10397930 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) 8235942 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 4312.765643162175 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.8431309599755139 16360 decision_function_shape "ovr" 16360 degree 2 16360 gamma 0.1340521523606873 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 21717605 description https://api.openml.org/data/download/21717605/description.xml -1 21717606 predictions https://api.openml.org/data/download/21717606/predictions.arff area_under_roc_curve 0.9984939759036144 [0.998494,0.998494] average_cost 0 f_measure 0.9989557879900685 [0.998492,0.999202] kappa 0.9976936225533861 kb_relative_information_score 0.9975981711832843 mean_absolute_error 0.0010438413361169101 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9989578234826009 [1,0.998405] predictive_accuracy 0.9989561586638831 prior_entropy 0.9309543116818706 recall 0.9989561586638831 [0.996988,1] relative_absolute_error 0.002304247015280026 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.03230853348756192 root_relative_squared_error 0.06789322648164148 total_cost 0 area_under_roc_curve 0.9848484848484849 [0.984848,0.984848] 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] 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 0.9895442156268928 [0.984615,0.992126] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] kappa 0.9767441860465117 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9759656301950811 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 mean_absolute_error 0.010416666666666666 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 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 0.98974609375 [1,0.984375] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 0.9895833333333333 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 recall 0.9895833333333334 [0.969697,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] recall 1 [1,1] relative_absolute_error 0.02303815694744417 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 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 0.10206207261596575 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_relative_squared_error 0.21488147267630978 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 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 total_cost 0 usercpu_time_millis 171.6359999991255 usercpu_time_millis 182.5379999972938 usercpu_time_millis 167.23999999521766 usercpu_time_millis 172.6859999980661 usercpu_time_millis 186.2699999983306 usercpu_time_millis 196.55400000192458 usercpu_time_millis 173.58400000011898 usercpu_time_millis 178.67999999725726 usercpu_time_millis 209.32600000014645 usercpu_time_millis 166.33200000069337 usercpu_time_millis_testing 11.271999999735272 usercpu_time_millis_testing 11.77800000004936 usercpu_time_millis_testing 9.073999997781357 usercpu_time_millis_testing 13.552000000345288 usercpu_time_millis_testing 11.763999998947838 usercpu_time_millis_testing 14.065999999729684 usercpu_time_millis_testing 8.209999999962747 usercpu_time_millis_testing 12.771999998221872 usercpu_time_millis_testing 11.31600000007893 usercpu_time_millis_testing 8.566000000428176 usercpu_time_millis_training 160.36399999939022 usercpu_time_millis_training 170.75999999724445 usercpu_time_millis_training 158.1659999974363 usercpu_time_millis_training 159.13399999772082 usercpu_time_millis_training 174.50599999938277 usercpu_time_millis_training 182.4880000021949 usercpu_time_millis_training 165.37400000015623 usercpu_time_millis_training 165.90799999903538 usercpu_time_millis_training 198.01000000006752 usercpu_time_millis_training 157.7660000002652 wall_clock_time_millis 96.36783599853516 wall_clock_time_millis 101.23419761657715 wall_clock_time_millis 98.31976890563965 wall_clock_time_millis 105.77201843261719 wall_clock_time_millis 140.64884185791016 wall_clock_time_millis 127.81310081481934 wall_clock_time_millis 99.55883026123047 wall_clock_time_millis 110.46195030212402 wall_clock_time_millis 133.3332061767578 wall_clock_time_millis 100.14796257019043 wall_clock_time_millis_testing 6.6680908203125 wall_clock_time_millis_testing 6.266117095947266 wall_clock_time_millis_testing 4.9228668212890625 wall_clock_time_millis_testing 8.11004638671875 wall_clock_time_millis_testing 7.67207145690918 wall_clock_time_millis_testing 10.53619384765625 wall_clock_time_millis_testing 4.391908645629883 wall_clock_time_millis_testing 6.531953811645508 wall_clock_time_millis_testing 6.163120269775391 wall_clock_time_millis_testing 4.327058792114258 wall_clock_time_millis_training 89.69974517822266 wall_clock_time_millis_training 94.96808052062988 wall_clock_time_millis_training 93.39690208435059 wall_clock_time_millis_training 97.66197204589844 wall_clock_time_millis_training 132.97677040100098 wall_clock_time_millis_training 117.27690696716309 wall_clock_time_millis_training 95.16692161560059 wall_clock_time_millis_training 103.92999649047852 wall_clock_time_millis_training 127.17008590698242 wall_clock_time_millis_training 95.82090377807617