10397920 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) 8235676 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 341.13570414927165 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.40925841203009883 16360 decision_function_shape "ovr" 16360 degree 2 16360 gamma 0.0879431242461166 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 21717585 description https://api.openml.org/data/download/21717585/description.xml -1 21717586 predictions https://api.openml.org/data/download/21717586/predictions.arff area_under_roc_curve 0.9969879518072289 [0.996988,0.996988] average_cost 0 f_measure 0.9979108285472813 [0.996979,0.998405] kappa 0.9953839778739315 kb_relative_information_score 0.9951963423665688 mean_absolute_error 0.0020876826722338203 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9979189659986969 [1,0.996815] predictive_accuracy 0.9979123173277662 prior_entropy 0.9309543116818706 recall 0.9979123173277662 [0.993976,1] relative_absolute_error 0.004608494030560052 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.04569116623849538 root_relative_squared_error 0.09601552168360555 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 0.9852941176470589 [0.985294,0.985294] 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 0.989547263681592 [0.985075,0.992] 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 0.9770773638968482 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 0.9762093256076048 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 0.010416666666666666 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 0.9897486772486772 [1,0.984127] 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 0.9895833333333333 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 0.9895833333333334 [0.970588,1] 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 0.02287675150128678 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 0.10206207261596575 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 0.21337810001300034 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 101.02400000323541 usercpu_time_millis 84.31199999904493 usercpu_time_millis 91.57199999754084 usercpu_time_millis 96.05800000281306 usercpu_time_millis 92.7819999960775 usercpu_time_millis 95.13200000219513 usercpu_time_millis 96.16399999868008 usercpu_time_millis 89.17999999903259 usercpu_time_millis 90.73000000353204 usercpu_time_millis 97.2040000015113 usercpu_time_millis_testing 6.92200000048615 usercpu_time_millis_testing 6.129999997938285 usercpu_time_millis_testing 7.1079999979701824 usercpu_time_millis_testing 6.664000000455417 usercpu_time_millis_testing 7.183999998233048 usercpu_time_millis_testing 5.926000001636567 usercpu_time_millis_testing 6.347999998979503 usercpu_time_millis_testing 5.981999998766696 usercpu_time_millis_testing 5.962000002909917 usercpu_time_millis_testing 7.666000001336215 usercpu_time_millis_training 94.10200000274926 usercpu_time_millis_training 78.18200000110664 usercpu_time_millis_training 84.46399999957066 usercpu_time_millis_training 89.39400000235764 usercpu_time_millis_training 85.59799999784445 usercpu_time_millis_training 89.20600000055856 usercpu_time_millis_training 89.81599999970058 usercpu_time_millis_training 83.19800000026589 usercpu_time_millis_training 84.76800000062212 usercpu_time_millis_training 89.53800000017509 wall_clock_time_millis 50.77385902404785 wall_clock_time_millis 42.27757453918457 wall_clock_time_millis 45.977115631103516 wall_clock_time_millis 49.53885078430176 wall_clock_time_millis 47.54996299743652 wall_clock_time_millis 48.57921600341797 wall_clock_time_millis 48.74682426452637 wall_clock_time_millis 45.81189155578613 wall_clock_time_millis 46.547889709472656 wall_clock_time_millis 49.05200004577637 wall_clock_time_millis_testing 3.468036651611328 wall_clock_time_millis_testing 3.0786991119384766 wall_clock_time_millis_testing 3.5631656646728516 wall_clock_time_millis_testing 4.213094711303711 wall_clock_time_millis_testing 4.224061965942383 wall_clock_time_millis_testing 2.9671192169189453 wall_clock_time_millis_testing 3.178834915161133 wall_clock_time_millis_testing 2.9959678649902344 wall_clock_time_millis_testing 3.0059814453125 wall_clock_time_millis_testing 3.838062286376953 wall_clock_time_millis_training 47.30582237243652 wall_clock_time_millis_training 39.198875427246094 wall_clock_time_millis_training 42.413949966430664 wall_clock_time_millis_training 45.32575607299805 wall_clock_time_millis_training 43.32590103149414 wall_clock_time_millis_training 45.61209678649902 wall_clock_time_millis_training 45.567989349365234 wall_clock_time_millis_training 42.8159236907959 wall_clock_time_millis_training 43.541908264160156 wall_clock_time_millis_training 45.213937759399414