10586601 28997 Marc Boel 9977 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302883 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 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"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "median" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.6817042288927586 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1345 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 141 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 9 19040 random_state 14585 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.21488803479878626 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099473 description https://api.openml.org/data/download/22099473/description.xml -1 22099474 predictions https://api.openml.org/data/download/22099474/predictions.arff area_under_roc_curve 0.9934478246494797 [0.993448,0.993448] average_cost 0 f_measure 0.9660571209710348 [0.940482,0.976283] kappa 0.9167645760368893 kb_relative_information_score 0.8851778574826428 mean_absolute_error 0.04740822658721976 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9660815319889743 [0.938236,0.977215] number_of_instances 34465 [9844,24621] precision 0.9660370546869902 [0.942738,0.975353] predictive_accuracy 0.9660815319889743 prior_entropy 0.8629999933345911 relative_absolute_error 0.11617088842284912 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.1591096663369916 root_relative_squared_error 0.3522379955655115 total_cost 0 unweighted_recall 0.9577255310787854 [0.938236,0.977215] area_under_roc_curve 0.9936305285708157 [0.993631,0.993631] area_under_roc_curve 0.9941795494563044 [0.99418,0.99418] area_under_roc_curve 0.9914266392310325 [0.991427,0.991427] area_under_roc_curve 0.9945407761425443 [0.994541,0.994541] area_under_roc_curve 0.9936253386500183 [0.993625,0.993625] area_under_roc_curve 0.9931127941458131 [0.993113,0.993113] area_under_roc_curve 0.993052322125577 [0.993052,0.993052] area_under_roc_curve 0.9950346898879224 [0.995035,0.995035] area_under_roc_curve 0.9926395438304505 [0.99264,0.99264] area_under_roc_curve 0.9936196858922284 [0.99362,0.99362] 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 0.968963245781464 [0.945658,0.978274] f_measure 0.9713355021596832 [0.950076,0.979841] f_measure 0.9582624841590304 [0.927126,0.97072] f_measure 0.9683734804075897 [0.944642,0.977868] f_measure 0.9666325710722277 [0.941595,0.97665] f_measure 0.9665817586611632 [0.941297,0.976688] f_measure 0.9651125272604051 [0.93865,0.975689] f_measure 0.9685717411395827 [0.944615,0.978146] f_measure 0.9658091166488528 [0.940344,0.975987] f_measure 0.9608931639923424 [0.930642,0.972984] kappa 0.9239318137804176 kappa 0.9299180320293854 kappa 0.8978456892999839 kappa 0.9225099785239765 kappa 0.9182444727546543 kappa 0.9179848813534346 kappa 0.9143404012031123 kappa 0.9227644807259848 kappa 0.9163316183799328 kappa 0.9036387251440315 kb_relative_information_score 0.8888709149987801 kb_relative_information_score 0.8920056735010984 kb_relative_information_score 0.859478605727515 kb_relative_information_score 0.8878861640109095 kb_relative_information_score 0.890667772026865 kb_relative_information_score 0.8853856786037771 kb_relative_information_score 0.8865329969850524 kb_relative_information_score 0.8947284360666916 kb_relative_information_score 0.883064324458536 kb_relative_information_score 0.8831638944627881 mean_absolute_error 0.0460856350007747 mean_absolute_error 0.04523813378770125 mean_absolute_error 0.05781904179640881 mean_absolute_error 0.046933449375395904 mean_absolute_error 0.0447193848078166 mean_absolute_error 0.047285468519486125 mean_absolute_error 0.046408158716253735 mean_absolute_error 0.043883617218888005 mean_absolute_error 0.047875357404049225 mean_absolute_error 0.04783292971790242 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9689681738095091 [0.945178,0.978473] precision 0.971424775888204 [0.943888,0.982442] precision 0.9583073745302539 [0.924319,0.971906] precision 0.9683688576856658 [0.945122,0.97767] precision 0.9666276825322886 [0.942073,0.976451] precision 0.966551534746675 [0.945641,0.974909] precision 0.9650764546368321 [0.944444,0.973323] precision 0.9685486792651613 [0.953416,0.974597] precision 0.9658803351114577 [0.935614,0.977977] precision 0.9609298376350308 [0.948312,0.965973] predictive_accuracy 0.9689585146504207 predictive_accuracy 0.9712793733681463 predictive_accuracy 0.95822454308094 predictive_accuracy 0.9683782999709892 predictive_accuracy 0.9666376559326951 predictive_accuracy 0.9666279744631457 predictive_accuracy 0.9651770168311086 predictive_accuracy 0.9686593151479976 predictive_accuracy 0.9657573998839234 predictive_accuracy 0.9611143354614045 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.11294864657171827 relative_absolute_error 0.11083776770970916 relative_absolute_error 0.14166219928308788 relative_absolute_error 0.11499145354001711 relative_absolute_error 0.1095667829426997 relative_absolute_error 0.1158791633700621 relative_absolute_error 0.11372920209870388 relative_absolute_error 0.10754248626893075 relative_absolute_error 0.11732476246349821 relative_absolute_error 0.11722078792484279 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.15485547123432566 root_mean_squared_error 0.1521611878982464 root_mean_squared_error 0.1738366045985275 root_mean_squared_error 0.15405491854576753 root_mean_squared_error 0.15907052493229465 root_mean_squared_error 0.15885017263961793 root_mean_squared_error 0.16119153942729345 root_mean_squared_error 0.15056808742934724 root_mean_squared_error 0.1610838096072232 root_mean_squared_error 0.1641198438546205 root_relative_squared_error 0.342876761414012 root_relative_squared_error 0.33680848088843773 root_relative_squared_error 0.3847869718051066 root_relative_squared_error 0.34100024983696875 root_relative_squared_error 0.35210228440382707 root_relative_squared_error 0.3516911037385374 root_relative_squared_error 0.3568748429572695 root_relative_squared_error 0.3333547328019769 root_relative_squared_error 0.3566363312912356 root_relative_squared_error 0.3633580503659611 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 0.9621068645217512 [0.946138,0.978076] unweighted_recall 0.96679972124516 [0.956345,0.977254] unweighted_recall 0.9497431001991694 [0.929949,0.969537] unweighted_recall 0.9611145245291889 [0.944162,0.978067] unweighted_recall 0.9589824211259881 [0.941117,0.976848] unweighted_recall 0.957732328135629 [0.936992,0.978473] unweighted_recall 0.9554967208892235 [0.932927,0.978067] unweighted_recall 0.9588488934239465 [0.935976,0.981722] unweighted_recall 0.9595634126528105 [0.945122,0.974005] unweighted_recall 0.9468576839505194 [0.913618,0.980097] usercpu_time_millis 34007.3204529981 usercpu_time_millis 34285.796074000245 usercpu_time_millis 18909.826831004466 usercpu_time_millis 30960.23551699909 usercpu_time_millis 33344.29074000218 usercpu_time_millis 32986.96073700194 usercpu_time_millis 34019.39456200125 usercpu_time_millis 32459.74673800083 usercpu_time_millis 33777.323755995894 usercpu_time_millis 29263.131081999745 usercpu_time_millis_testing 76.32877899959567 usercpu_time_millis_testing 80.94986899959622 usercpu_time_millis_testing 73.33881700105849 usercpu_time_millis_testing 76.69559399801074 usercpu_time_millis_testing 77.06235400110018 usercpu_time_millis_testing 73.8473570017959 usercpu_time_millis_testing 77.36825800020597 usercpu_time_millis_testing 74.74941200052854 usercpu_time_millis_testing 74.93284499651054 usercpu_time_millis_testing 49.65532400092343 usercpu_time_millis_training 33930.991673998506 usercpu_time_millis_training 34204.84620500065 usercpu_time_millis_training 18836.488014003407 usercpu_time_millis_training 30883.53992300108 usercpu_time_millis_training 33267.22838600108 usercpu_time_millis_training 32913.11338000014 usercpu_time_millis_training 33942.02630400105 usercpu_time_millis_training 32384.997326000303 usercpu_time_millis_training 33702.390910999384 usercpu_time_millis_training 29213.47575799882 wall_clock_time_millis 34570.43433189392 wall_clock_time_millis 34892.249584198 wall_clock_time_millis 19165.130615234375 wall_clock_time_millis 31624.517917633057 wall_clock_time_millis 33842.31781959534 wall_clock_time_millis 33536.35120391846 wall_clock_time_millis 34637.06016540527 wall_clock_time_millis 33031.235694885254 wall_clock_time_millis 34268.720388412476 wall_clock_time_millis 29701.21693611145 wall_clock_time_millis_testing 76.45630836486816 wall_clock_time_millis_testing 81.06207847595215 wall_clock_time_millis_testing 73.44937324523926 wall_clock_time_millis_testing 80.21831512451172 wall_clock_time_millis_testing 77.42571830749512 wall_clock_time_millis_testing 75.06752014160156 wall_clock_time_millis_testing 88.84692192077637 wall_clock_time_millis_testing 78.09877395629883 wall_clock_time_millis_testing 75.55484771728516 wall_clock_time_millis_testing 49.77059364318848 wall_clock_time_millis_training 34493.97802352905 wall_clock_time_millis_training 34811.187505722046 wall_clock_time_millis_training 19091.681241989136 wall_clock_time_millis_training 31544.299602508545 wall_clock_time_millis_training 33764.89210128784 wall_clock_time_millis_training 33461.283683776855 wall_clock_time_millis_training 34548.2132434845 wall_clock_time_millis_training 32953.136920928955 wall_clock_time_millis_training 34193.16554069519 wall_clock_time_millis_training 29651.44634246826 weighted_recall 0.9689585146504207 [0.946138,0.978076] weighted_recall 0.9712793733681462 [0.956345,0.977254] weighted_recall 0.95822454308094 [0.929949,0.969537] weighted_recall 0.9683782999709892 [0.944162,0.978067] weighted_recall 0.9666376559326951 [0.941117,0.976848] weighted_recall 0.9666279744631456 [0.936992,0.978473] weighted_recall 0.9651770168311086 [0.932927,0.978067] weighted_recall 0.9686593151479976 [0.935976,0.981722] weighted_recall 0.9657573998839234 [0.945122,0.974005] weighted_recall 0.9611143354614046 [0.913618,0.980097]