10319580 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) 8175285 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 86.94814255939787 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5721041651497317 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.038416635182561276 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 21237 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 21560846 description https://api.openml.org/data/download/21560846/description.xml -1 21560847 predictions https://api.openml.org/data/download/21560847/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 0.995196342366569 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 0.9696969696969697 [0.969697,0.969697] 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 0.97900390625 [0.96875,0.984375] 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 0.953147877013177 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9519312603901624 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 0.020833333333333332 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 0.9798076923076923 [1,0.969231] 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 0.9791666666666667 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 0.9791666666666666 [0.939394,1] 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 0.04607631389488834 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 0.14433756729740643 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 0.30388829296154096 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 69.96136399993702 usercpu_time_millis 73.6140390000628 usercpu_time_millis 70.88246099999651 usercpu_time_millis 65.5421070000557 usercpu_time_millis 69.46357599997555 usercpu_time_millis 65.40185300002577 usercpu_time_millis 64.13507299998855 usercpu_time_millis 61.782763999985946 usercpu_time_millis 62.719452000123965 usercpu_time_millis 65.59636599990881 usercpu_time_millis_testing 4.915345999961573 usercpu_time_millis_testing 4.7785120000298775 usercpu_time_millis_testing 4.943909000076019 usercpu_time_millis_testing 5.12237999998888 usercpu_time_millis_testing 4.978739999955906 usercpu_time_millis_testing 4.722110999978213 usercpu_time_millis_testing 4.900579000036487 usercpu_time_millis_testing 5.012164000049779 usercpu_time_millis_testing 4.808996000065235 usercpu_time_millis_testing 4.755904999910854 usercpu_time_millis_training 65.04601799997545 usercpu_time_millis_training 68.83552700003293 usercpu_time_millis_training 65.93855199992049 usercpu_time_millis_training 60.419727000066814 usercpu_time_millis_training 64.48483600001964 usercpu_time_millis_training 60.679742000047554 usercpu_time_millis_training 59.234493999952065 usercpu_time_millis_training 56.77059999993617 usercpu_time_millis_training 57.91045600005873 usercpu_time_millis_training 60.84046099999796 wall_clock_time_millis 69.98133659362793 wall_clock_time_millis 73.65131378173828 wall_clock_time_millis 70.89829444885254 wall_clock_time_millis 65.56153297424316 wall_clock_time_millis 69.47970390319824 wall_clock_time_millis 65.44852256774902 wall_clock_time_millis 64.15247917175293 wall_clock_time_millis 61.83767318725586 wall_clock_time_millis 78.74274253845215 wall_clock_time_millis 65.61636924743652 wall_clock_time_millis_testing 4.924535751342773 wall_clock_time_millis_testing 4.787206649780273 wall_clock_time_millis_testing 4.951238632202148 wall_clock_time_millis_testing 5.131959915161133 wall_clock_time_millis_testing 4.98652458190918 wall_clock_time_millis_testing 4.730701446533203 wall_clock_time_millis_testing 4.909992218017578 wall_clock_time_millis_testing 5.022764205932617 wall_clock_time_millis_testing 4.818201065063477 wall_clock_time_millis_testing 4.76527214050293 wall_clock_time_millis_training 65.05680084228516 wall_clock_time_millis_training 68.86410713195801 wall_clock_time_millis_training 65.94705581665039 wall_clock_time_millis_training 60.42957305908203 wall_clock_time_millis_training 64.49317932128906 wall_clock_time_millis_training 60.71782112121582 wall_clock_time_millis_training 59.24248695373535 wall_clock_time_millis_training 56.81490898132324 wall_clock_time_millis_training 73.92454147338867 wall_clock_time_millis_training 60.851097106933594