10587878 6127 Peng YU 3 Supervised Classification 19119 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(4) 8304011 Python_3.10.4. Sklearn_1.2.dev0. NumPy_1.22.4. SciPy_1.8.1. memory null 19119 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 19119 verbose false 19119 n_jobs null 19120 remainder "drop" 19120 sparse_threshold 0.3 19120 transformer_weights null 19120 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19120 verbose false 19120 verbose_feature_names_out true 19120 add_indicator false 19121 copy true 19121 fill_value null 19121 missing_values NaN 19121 strategy "mean" 19121 verbose "deprecated" 19121 categories "auto" 19122 drop null 19122 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19122 handle_unknown "ignore" 19122 max_categories null 19122 min_frequency null 19122 sparse true 19122 ccp_alpha 0.0 19123 class_weight null 19123 criterion "gini" 19123 max_depth 1 19123 max_features null 19123 max_leaf_nodes null 19123 min_impurity_decrease 0.0 19123 min_samples_leaf 1 19123 min_samples_split 2 19123 min_weight_fraction_leaf 0.0 19123 random_state 40872 19123 splitter "best" 19123 openml-python Sklearn_1.2.dev0. 3 kr-vs-kp https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff -1 22103214 description https://api.openml.org/data/download/22103214/description.xml -1 22103215 predictions https://api.openml.org/data/download/22103215/predictions.arff area_under_roc_curve 0.666432024635059 [0.666432,0.666432] average_cost 0 f_measure 0.6232647278827173 [0.51842,0.737859] kappa 0.3396437687719142 kb_relative_information_score 0.21177994742504222 mean_absolute_error 0.39695515111114493 mean_prior_absolute_error 0.49901358092237413 weighted_recall 0.6605131414267835 [0.34991,1] number_of_instances 3196 [1669,1527] precision 0.8015327591725492 [1,0.584609] predictive_accuracy 0.6605131414267835 prior_entropy 0.998575539213492 relative_absolute_error 0.7954796548370789 root_mean_prior_squared_error 0.49950623821173523 root_mean_squared_error 0.4455256997944102 root_relative_squared_error 0.891932203668609 total_cost 0 unweighted_recall 0.6749550629119233 [0.34991,1] area_under_roc_curve 0.7035928143712575 [0.703593,0.703593] area_under_roc_curve 0.6437125748502994 [0.643713,0.643713] area_under_roc_curve 0.6766467065868264 [0.676647,0.676647] area_under_roc_curve 0.6766467065868264 [0.676647,0.676647] area_under_roc_curve 0.6916167664670658 [0.691617,0.691617] area_under_roc_curve 0.6676646706586826 [0.667665,0.667665] area_under_roc_curve 0.6686746987951807 [0.668675,0.668675] area_under_roc_curve 0.6706586826347305 [0.670659,0.670659] area_under_roc_curve 0.6646706586826348 [0.664671,0.664671] area_under_roc_curve 0.6856287425149701 [0.685629,0.685629] 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 0.6632712765957447 [0.578723,0.755556] f_measure 0.5772732558139534 [0.446512,0.72] f_measure 0.6258801462100807 [0.522124,0.73913] f_measure 0.6258801462100807 [0.522124,0.73913] f_measure 0.6468944818425258 [0.554113,0.748166] f_measure 0.6129619398651482 [0.502242,0.733813] f_measure 0.615332341625445 [0.504505,0.735577] f_measure 0.616315354227648 [0.508929,0.7343] f_measure 0.6076008489801594 [0.495495,0.730769] f_measure 0.6376361840384882 [0.541485,0.743276] kappa 0.3964334705075447 kappa 0.2783505154639176 kappa 0.3431406089633937 kappa 0.3431406089633937 kappa 0.37271619975639453 kappa 0.32543299908842294 kappa 0.32811243441963767 kappa 0.33057346712961194 kappa 0.3187919463087249 kappa 0.3600863534761094 kb_relative_information_score 0.2476369275541159 kb_relative_information_score 0.1724350099886513 kb_relative_information_score 0.21398443720276966 kb_relative_information_score 0.21398443720276972 kb_relative_information_score 0.2327181913237386 kb_relative_information_score 0.2026985575936765 kb_relative_information_score 0.2041298943105569 kb_relative_information_score 0.20629611512074797 kb_relative_information_score 0.19872889942364938 kb_relative_information_score 0.22514733520171684 mean_absolute_error 0.37987817796610196 mean_absolute_error 0.41573717948717775 mean_absolute_error 0.39593922798808817 mean_absolute_error 0.39593922798808817 mean_absolute_error 0.3870012733446539 mean_absolute_error 0.40132027257240405 mean_absolute_error 0.40077749352422115 mean_absolute_error 0.39945307810311476 mean_absolute_error 0.40305896300727073 mean_absolute_error 0.3904651611657958 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.49909524173611874 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 319 [166,153] number_of_instances 319 [167,152] number_of_instances 319 [167,152] number_of_instances 319 [167,152] precision 0.8121651785714284 [1,0.607143] precision 0.7908203125 [1,0.5625] precision 0.8021551724137931 [1,0.586207] precision 0.8021551724137931 [1,0.586207] precision 0.80762939453125 [1,0.597656] precision 0.7989701704545455 [1,0.579545] precision 0.7993968795070145 [1,0.581749] precision 0.7999473545669913 [1,0.580153] precision 0.7978531395459295 [1,0.575758] precision 0.805325494309796 [1,0.59144] predictive_accuracy 0.690625 predictive_accuracy 0.628125 predictive_accuracy 0.6625 predictive_accuracy 0.6625 predictive_accuracy 0.678125 predictive_accuracy 0.653125 predictive_accuracy 0.6551724137931035 predictive_accuracy 0.6551724137931035 predictive_accuracy 0.6489028213166144 predictive_accuracy 0.6708463949843261 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9988113175509788 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 relative_absolute_error 0.7612351468483339 relative_absolute_error 0.833092741919685 relative_absolute_error 0.7934197693962396 relative_absolute_error 0.7934197693962396 relative_absolute_error 0.7755090664125963 relative_absolute_error 0.8042028059114474 relative_absolute_error 0.8030080433748554 relative_absolute_error 0.800577685306214 relative_absolute_error 0.807804544099638 relative_absolute_error 0.7825642410950121 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995879730599906 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_squared_error 0.4339638560289985 root_mean_squared_error 0.45792729010654665 root_mean_squared_error 0.44480040081144506 root_mean_squared_error 0.44480040081144506 root_mean_squared_error 0.4387915000873263 root_mean_squared_error 0.4483926976187906 root_mean_squared_error 0.4478967083913417 root_mean_squared_error 0.4472949808915227 root_mean_squared_error 0.44969668577842403 root_mean_squared_error 0.44127173138919285 root_relative_squared_error 0.868759354882791 root_relative_squared_error 0.9167321462587528 root_relative_squared_error 0.8904532114645421 root_relative_squared_error 0.8904532114645421 root_relative_squared_error 0.8784238946352361 root_relative_squared_error 0.8976446893112328 root_relative_squared_error 0.8965322076269403 root_relative_squared_error 0.8955775236172324 root_relative_squared_error 0.9003862360038178 root_relative_squared_error 0.8835177261594704 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 unweighted_recall 0.7035928143712575 [0.407186,1] unweighted_recall 0.6437125748502994 [0.287425,1] unweighted_recall 0.6766467065868264 [0.353293,1] unweighted_recall 0.6766467065868264 [0.353293,1] unweighted_recall 0.6916167664670658 [0.383234,1] unweighted_recall 0.6676646706586826 [0.335329,1] unweighted_recall 0.6686746987951807 [0.337349,1] unweighted_recall 0.6706586826347305 [0.341317,1] unweighted_recall 0.6646706586826348 [0.329341,1] unweighted_recall 0.6856287425149701 [0.371257,1] usercpu_time_millis 60.77900000000014 usercpu_time_millis 53.69199999999985 usercpu_time_millis 53.22399999999971 usercpu_time_millis 51.895000000000024 usercpu_time_millis 51.84999999999995 usercpu_time_millis 48.83699999999979 usercpu_time_millis 46.824999999999676 usercpu_time_millis 40.67999999999961 usercpu_time_millis 44.12200000000021 usercpu_time_millis 44.316999999999936 usercpu_time_millis_testing 11.346000000000078 usercpu_time_millis_testing 10.648999999999909 usercpu_time_millis_testing 10.413999999999923 usercpu_time_millis_testing 10.260999999999854 usercpu_time_millis_testing 9.956999999999994 usercpu_time_millis_testing 10.005000000000042 usercpu_time_millis_testing 9.479999999999933 usercpu_time_millis_testing 8.43399999999983 usercpu_time_millis_testing 9.384999999999977 usercpu_time_millis_testing 8.231000000000321 usercpu_time_millis_training 49.433000000000064 usercpu_time_millis_training 43.04299999999994 usercpu_time_millis_training 42.80999999999979 usercpu_time_millis_training 41.63400000000017 usercpu_time_millis_training 41.89299999999996 usercpu_time_millis_training 38.83199999999975 usercpu_time_millis_training 37.34499999999974 usercpu_time_millis_training 32.245999999999775 usercpu_time_millis_training 34.737000000000236 usercpu_time_millis_training 36.085999999999615 wall_clock_time_millis 61.75589561462402 wall_clock_time_millis 54.17275428771973 wall_clock_time_millis 53.618431091308594 wall_clock_time_millis 52.294254302978516 wall_clock_time_millis 52.3686408996582 wall_clock_time_millis 49.0720272064209 wall_clock_time_millis 47.049522399902344 wall_clock_time_millis 40.88187217712402 wall_clock_time_millis 44.33894157409668 wall_clock_time_millis 44.46125030517578 wall_clock_time_millis_testing 11.45792007446289 wall_clock_time_millis_testing 10.788917541503906 wall_clock_time_millis_testing 10.49661636352539 wall_clock_time_millis_testing 10.324239730834961 wall_clock_time_millis_testing 9.976863861083984 wall_clock_time_millis_testing 10.076045989990234 wall_clock_time_millis_testing 9.538650512695312 wall_clock_time_millis_testing 8.481740951538086 wall_clock_time_millis_testing 9.443044662475586 wall_clock_time_millis_testing 8.262157440185547 wall_clock_time_millis_training 50.29797554016113 wall_clock_time_millis_training 43.38383674621582 wall_clock_time_millis_training 43.1218147277832 wall_clock_time_millis_training 41.970014572143555 wall_clock_time_millis_training 42.39177703857422 wall_clock_time_millis_training 38.995981216430664 wall_clock_time_millis_training 37.51087188720703 wall_clock_time_millis_training 32.40013122558594 wall_clock_time_millis_training 34.895896911621094 wall_clock_time_millis_training 36.199092864990234 weighted_recall 0.690625 [0.407186,1] weighted_recall 0.628125 [0.287425,1] weighted_recall 0.6625 [0.353293,1] weighted_recall 0.6625 [0.353293,1] weighted_recall 0.678125 [0.383234,1] weighted_recall 0.653125 [0.335329,1] weighted_recall 0.6551724137931034 [0.337349,1] weighted_recall 0.6551724137931034 [0.341317,1] weighted_recall 0.6489028213166145 [0.329341,1] weighted_recall 0.670846394984326 [0.371257,1]