10319498 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) 8175203 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 19123.80231242732 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.09813781928359377 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 1.2226691292578007 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 43965 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 21560682 description https://api.openml.org/data/download/21560682/description.xml -1 21560683 predictions https://api.openml.org/data/download/21560683/predictions.arff area_under_roc_curve 1 [1,1] average_cost 0 f_measure 1 [1,1] kappa 1 kb_relative_information_score 1 mean_absolute_error 0 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 1 [1,1] predictive_accuracy 1 prior_entropy 0.9309543116818706 recall 1 [1,1] relative_absolute_error 0 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0 root_relative_squared_error 0 total_cost 0 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] 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 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] f_measure 1 [1,1] kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 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 kb_relative_information_score 1 kb_relative_information_score 1 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_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 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] precision 1 [1,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 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] recall 1 [1,1] 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 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 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 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 98.52508599988141 usercpu_time_millis 96.14951999992627 usercpu_time_millis 85.98908199996913 usercpu_time_millis 83.40485100006845 usercpu_time_millis 81.33094200002233 usercpu_time_millis 81.52997599995615 usercpu_time_millis 93.38632800006508 usercpu_time_millis 88.44282400013981 usercpu_time_millis 78.9281119999714 usercpu_time_millis 91.79592700002104 usercpu_time_millis_testing 6.579176999935044 usercpu_time_millis_testing 5.634032999978444 usercpu_time_millis_testing 6.28371999994215 usercpu_time_millis_testing 5.553082000005816 usercpu_time_millis_testing 5.632294999941223 usercpu_time_millis_testing 5.724496999960138 usercpu_time_millis_testing 5.787564000002021 usercpu_time_millis_testing 5.69900800007872 usercpu_time_millis_testing 5.543547000002036 usercpu_time_millis_testing 5.622248999998192 usercpu_time_millis_training 91.94590899994637 usercpu_time_millis_training 90.51548699994783 usercpu_time_millis_training 79.70536200002698 usercpu_time_millis_training 77.85176900006263 usercpu_time_millis_training 75.69864700008111 usercpu_time_millis_training 75.80547899999601 usercpu_time_millis_training 87.59876400006306 usercpu_time_millis_training 82.74381600006109 usercpu_time_millis_training 73.38456499996937 usercpu_time_millis_training 86.17367800002285 wall_clock_time_millis 98.54626655578613 wall_clock_time_millis 96.21262550354004 wall_clock_time_millis 86.00759506225586 wall_clock_time_millis 83.42099189758301 wall_clock_time_millis 81.35080337524414 wall_clock_time_millis 81.57896995544434 wall_clock_time_millis 93.41049194335938 wall_clock_time_millis 88.46378326416016 wall_clock_time_millis 79.1006088256836 wall_clock_time_millis 91.81332588195801 wall_clock_time_millis_testing 6.589174270629883 wall_clock_time_millis_testing 5.641698837280273 wall_clock_time_millis_testing 6.292819976806641 wall_clock_time_millis_testing 5.561351776123047 wall_clock_time_millis_testing 5.643606185913086 wall_clock_time_millis_testing 5.735158920288086 wall_clock_time_millis_testing 5.799770355224609 wall_clock_time_millis_testing 5.708932876586914 wall_clock_time_millis_testing 5.560159683227539 wall_clock_time_millis_testing 5.630731582641602 wall_clock_time_millis_training 91.95709228515625 wall_clock_time_millis_training 90.57092666625977 wall_clock_time_millis_training 79.71477508544922 wall_clock_time_millis_training 77.85964012145996 wall_clock_time_millis_training 75.70719718933105 wall_clock_time_millis_training 75.84381103515625 wall_clock_time_millis_training 87.61072158813477 wall_clock_time_millis_training 82.75485038757324 wall_clock_time_millis_training 73.54044914245605 wall_clock_time_millis_training 86.1825942993164