10586607 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) 8302889 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 0.8477325025809204 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 465 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 80 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 38898 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.395964559755074 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 22099485 description https://api.openml.org/data/download/22099485/description.xml -1 22099486 predictions https://api.openml.org/data/download/22099486/predictions.arff area_under_roc_curve 0.9926495402112359 [0.99265,0.99265] average_cost 0 f_measure 0.9636387528516775 [0.936207,0.974607] kappa 0.9108139493445271 kb_relative_information_score 0.880224218026992 mean_absolute_error 0.048951532057140805 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9636732917452489 [0.933259,0.975834] number_of_instances 34465 [9844,24621] precision 0.9636117531754154 [0.939174,0.973382] predictive_accuracy 0.9636732917452489 prior_entropy 0.8629999933345911 relative_absolute_error 0.11995266176589382 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16564924331748035 root_relative_squared_error 0.36671535285300005 total_cost 0 unweighted_recall 0.9545462379110633 [0.933259,0.975834] area_under_roc_curve 0.9928178917903674 [0.992818,0.992818] area_under_roc_curve 0.9930637053775767 [0.993064,0.993064] area_under_roc_curve 0.99131612695716 [0.991316,0.991316] area_under_roc_curve 0.994115221416289 [0.994115,0.994115] area_under_roc_curve 0.9925156799597536 [0.992516,0.992516] area_under_roc_curve 0.9933295027507546 [0.99333,0.99333] area_under_roc_curve 0.9920447303071731 [0.992045,0.992045] area_under_roc_curve 0.993554673310746 [0.993555,0.993555] area_under_roc_curve 0.9905102269950401 [0.99051,0.99051] area_under_roc_curve 0.9934128839663701 [0.993413,0.993413] 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 0.9599406597740794 [0.929735,0.972008] f_measure 0.9628999859191382 [0.935223,0.973973] f_measure 0.9596934456621586 [0.929549,0.971754] f_measure 0.9648266366761447 [0.938171,0.975491] f_measure 0.9634906528735792 [0.936299,0.974369] f_measure 0.9656832709169514 [0.939611,0.976104] f_measure 0.9637094125840413 [0.936387,0.97463] f_measure 0.9648053023532337 [0.938044,0.975501] f_measure 0.9660005718552704 [0.940276,0.976282] f_measure 0.9653543014874288 [0.93888,0.975935] kappa 0.9017435101713022 kappa 0.9091961682666522 kappa 0.901302710373378 kappa 0.9136633685500893 kappa 0.9106692861885217 kappa 0.9157164520271844 kappa 0.9110164432110349 kappa 0.913547165007342 kappa 0.9165585314639292 kappa 0.9148195185138565 kb_relative_information_score 0.8744012010575275 kb_relative_information_score 0.8775006705190442 kb_relative_information_score 0.8738475465588172 kb_relative_information_score 0.8833583545226612 kb_relative_information_score 0.8830221879054412 kb_relative_information_score 0.887855715209335 kb_relative_information_score 0.8801406468255977 kb_relative_information_score 0.8873111370067526 kb_relative_information_score 0.8756969460846529 kb_relative_information_score 0.8791106508933589 mean_absolute_error 0.0513206428285058 mean_absolute_error 0.05030165402340775 mean_absolute_error 0.05104525752177679 mean_absolute_error 0.0482406273824245 mean_absolute_error 0.047315206272409975 mean_absolute_error 0.04544023107981545 mean_absolute_error 0.04880187464183117 mean_absolute_error 0.04620762525579854 mean_absolute_error 0.05134191415003807 mean_absolute_error 0.0494992816905737 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 0.9599192486773078 [0.931633,0.97122] precision 0.9629407101991346 [0.932392,0.975163] precision 0.9597135556981329 [0.928138,0.972346] precision 0.9647895842673911 [0.944444,0.972929] precision 0.9635472699190133 [0.932528,0.975958] precision 0.9656479010703964 [0.946392,0.973344] precision 0.9636945287649517 [0.937819,0.974037] precision 0.9647682399933958 [0.945304,0.972547] precision 0.9659695299529636 [0.944615,0.974504] precision 0.9653289291786787 [0.949117,0.971808] predictive_accuracy 0.9599651871192342 predictive_accuracy 0.962866260516391 predictive_accuracy 0.9596750797795184 predictive_accuracy 0.964897011894401 predictive_accuracy 0.9634464751958224 predictive_accuracy 0.9657573998839234 predictive_accuracy 0.9637260591990714 predictive_accuracy 0.9648868253047012 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.965467208357516 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 0.12577882779683622 relative_absolute_error 0.12324387805706458 relative_absolute_error 0.1250657779658261 relative_absolute_error 0.11819416506163308 relative_absolute_error 0.11592679456162944 relative_absolute_error 0.11135717009341649 relative_absolute_error 0.1195953129248491 relative_absolute_error 0.1132377688877656 relative_absolute_error 0.12582000863694984 relative_absolute_error 0.12130439920160589 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 0.16866500328032089 root_mean_squared_error 0.16542677896993893 root_mean_squared_error 0.17171127323710844 root_mean_squared_error 0.1608591925034346 root_mean_squared_error 0.1681167400689917 root_mean_squared_error 0.1635067956491472 root_mean_squared_error 0.1661569865272755 root_mean_squared_error 0.1584826844780061 root_mean_squared_error 0.1671596230245113 root_mean_squared_error 0.16600231647713382 root_relative_squared_error 0.3734534506767953 root_relative_squared_error 0.3661718398281157 root_relative_squared_error 0.38008255514595957 root_relative_squared_error 0.3560614964458159 root_relative_squared_error 0.37212606326666303 root_relative_squared_error 0.3620007739057273 root_relative_squared_error 0.36786824348135866 root_relative_squared_error 0.3508774923019209 root_relative_squared_error 0.3700880606241537 root_relative_squared_error 0.36752580708518906 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 0.9503214649990592 [0.927846,0.972797] unweighted_recall 0.9554287092743714 [0.938071,0.972786] unweighted_recall 0.9510630620971766 [0.930964,0.971162] unweighted_recall 0.9550231539708132 [0.93198,0.978067] unweighted_recall 0.9564439377007674 [0.940102,0.972786] unweighted_recall 0.9559028947316281 [0.932927,0.978879] unweighted_recall 0.9550913726034091 [0.934959,0.975223] unweighted_recall 0.9546835476478241 [0.930894,0.978473] unweighted_recall 0.9570211111331259 [0.935976,0.978067] unweighted_recall 0.9544796351700316 [0.928862,0.980097] usercpu_time_millis 18898.89206299631 usercpu_time_millis 14857.77576700275 usercpu_time_millis 20979.35269700247 usercpu_time_millis 19696.23282000248 usercpu_time_millis 20212.07709400187 usercpu_time_millis 24480.052437000268 usercpu_time_millis 17765.763567997055 usercpu_time_millis 15011.49259000158 usercpu_time_millis 14686.169123000582 usercpu_time_millis 15011.94979900174 usercpu_time_millis_testing 76.01311599864857 usercpu_time_millis_testing 73.08003300204291 usercpu_time_millis_testing 77.43764000042574 usercpu_time_millis_testing 76.84061899999506 usercpu_time_millis_testing 75.87436700123362 usercpu_time_millis_testing 77.83566000216524 usercpu_time_millis_testing 73.69035099691246 usercpu_time_millis_testing 74.48499400197761 usercpu_time_millis_testing 74.0504380009952 usercpu_time_millis_testing 42.11249500076519 usercpu_time_millis_training 18822.878946997662 usercpu_time_millis_training 14784.695734000707 usercpu_time_millis_training 20901.915057002043 usercpu_time_millis_training 19619.392201002483 usercpu_time_millis_training 20136.202727000637 usercpu_time_millis_training 24402.216776998102 usercpu_time_millis_training 17692.073217000143 usercpu_time_millis_training 14937.007595999603 usercpu_time_millis_training 14612.118684999587 usercpu_time_millis_training 14969.837304000976 wall_clock_time_millis 19303.499460220337 wall_clock_time_millis 15107.819080352783 wall_clock_time_millis 21262.025356292725 wall_clock_time_millis 20107.15913772583 wall_clock_time_millis 20535.71891784668 wall_clock_time_millis 24973.597764968872 wall_clock_time_millis 18057.549953460693 wall_clock_time_millis 15256.49356842041 wall_clock_time_millis 14878.466844558716 wall_clock_time_millis 15248.089075088501 wall_clock_time_millis_testing 76.49588584899902 wall_clock_time_millis_testing 73.12703132629395 wall_clock_time_millis_testing 78.68385314941406 wall_clock_time_millis_testing 76.93243026733398 wall_clock_time_millis_testing 76.05886459350586 wall_clock_time_millis_testing 77.86130905151367 wall_clock_time_millis_testing 74.93114471435547 wall_clock_time_millis_testing 74.7368335723877 wall_clock_time_millis_testing 75.6075382232666 wall_clock_time_millis_testing 42.121171951293945 wall_clock_time_millis_training 19227.003574371338 wall_clock_time_millis_training 15034.69204902649 wall_clock_time_millis_training 21183.34150314331 wall_clock_time_millis_training 20030.226707458496 wall_clock_time_millis_training 20459.660053253174 wall_clock_time_millis_training 24895.73645591736 wall_clock_time_millis_training 17982.618808746338 wall_clock_time_millis_training 15181.756734848022 wall_clock_time_millis_training 14802.85930633545 wall_clock_time_millis_training 15205.967903137207 weighted_recall 0.9599651871192341 [0.927846,0.972797] weighted_recall 0.962866260516391 [0.938071,0.972786] weighted_recall 0.9596750797795184 [0.930964,0.971162] weighted_recall 0.9648970118944009 [0.93198,0.978067] weighted_recall 0.9634464751958225 [0.940102,0.972786] weighted_recall 0.9657573998839234 [0.932927,0.978879] weighted_recall 0.9637260591990714 [0.934959,0.975223] weighted_recall 0.9648868253047012 [0.930894,0.978473] weighted_recall 0.9660475914103308 [0.935976,0.978067] weighted_recall 0.965467208357516 [0.928862,0.980097]