10586400 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) 8302682 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 "mean" 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 0.7521658373874012 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1541 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 144 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 573 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.28990122755154873 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 22099068 description https://api.openml.org/data/download/22099068/description.xml -1 22099069 predictions https://api.openml.org/data/download/22099069/predictions.arff area_under_roc_curve 0.993281340984671 [0.993281,0.993281] average_cost 0 f_measure 0.9651317205651107 [0.938757,0.975677] kappa 0.9144345348159357 kb_relative_information_score 0.8843270304373815 mean_absolute_error 0.04738522794351732 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9651820687654142 [0.934275,0.977539] number_of_instances 34465 [9844,24621] precision 0.9650987751524895 [0.943282,0.973822] predictive_accuracy 0.9651820687654141 prior_entropy 0.8629999933345911 relative_absolute_error 0.11611453168766275 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16221231363996305 root_relative_squared_error 0.3591066559813452 total_cost 0 unweighted_recall 0.9559070919445993 [0.934275,0.977539] area_under_roc_curve 0.9934737365035039 [0.993474,0.993474] area_under_roc_curve 0.992595677650542 [0.992596,0.992596] area_under_roc_curve 0.9917507535864944 [0.991751,0.991751] area_under_roc_curve 0.9951869430573138 [0.995187,0.995187] area_under_roc_curve 0.9937700767400529 [0.99377,0.99377] area_under_roc_curve 0.9919826071737566 [0.991983,0.991983] area_under_roc_curve 0.993478102937 [0.993478,0.993478] area_under_roc_curve 0.9948673082892486 [0.994867,0.994867] area_under_roc_curve 0.992838709357849 [0.992839,0.992839] area_under_roc_curve 0.9933224855197375 [0.993322,0.993322] 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 0.9668973110354186 [0.941896,0.976886] f_measure 0.9611018467424298 [0.931841,0.972808] f_measure 0.9602973659380695 [0.930703,0.972137] f_measure 0.9683247623291621 [0.944359,0.977913] f_measure 0.9659999742432289 [0.940276,0.976292] f_measure 0.9648490783435046 [0.938297,0.975461] f_measure 0.9675476361412843 [0.943377,0.977208] f_measure 0.967090702571651 [0.941902,0.977158] f_measure 0.964201061136724 [0.936891,0.975116] f_measure 0.9650129280858014 [0.93808,0.975777] kappa 0.918781971390837 kappa 0.9046499011608032 kappa 0.9028410574348743 kappa 0.9222732071231199 kappa 0.9165684883798629 kappa 0.9137585912340974 kappa 0.9205859428690888 kappa 0.919064636801212 kappa 0.9120103364365616 kappa 0.9138657195061902 kb_relative_information_score 0.884129411470502 kb_relative_information_score 0.8793632382625297 kb_relative_information_score 0.8715194519703724 kb_relative_information_score 0.8920318099989298 kb_relative_information_score 0.8865194395656859 kb_relative_information_score 0.881795477703887 kb_relative_information_score 0.8897827642640305 kb_relative_information_score 0.8899382269445971 kb_relative_information_score 0.8871742787998042 kb_relative_information_score 0.8810210246939927 mean_absolute_error 0.0474031216583978 mean_absolute_error 0.04893802001311497 mean_absolute_error 0.05181281898285123 mean_absolute_error 0.044816620940670834 mean_absolute_error 0.046508579138745995 mean_absolute_error 0.04847665473078976 mean_absolute_error 0.04516968759320429 mean_absolute_error 0.045742749255428726 mean_absolute_error 0.04585590878713469 mean_absolute_error 0.04912737746976645 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 0.9668739540690116 [0.944785,0.975699] precision 0.9610811971172729 [0.933741,0.972019] precision 0.960348920356034 [0.927419,0.973523] precision 0.9682951825467959 [0.949692,0.975738] precision 0.9659663799988671 [0.945585,0.974121] precision 0.9648209683516631 [0.941658,0.974079] precision 0.9676162764416254 [0.938632,0.979201] precision 0.9670784599929765 [0.953174,0.972636] precision 0.9641671207687434 [0.946114,0.971383] precision 0.9650283792530363 [0.95283,0.969904] predictive_accuracy 0.9669277632724108 predictive_accuracy 0.9611256164780968 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9683782999709892 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9648868253047012 predictive_accuracy 0.967498549042368 predictive_accuracy 0.9672083575159606 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.9651770168311086 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 0.11617759925626574 relative_absolute_error 0.11990284391133285 relative_absolute_error 0.12694637718162802 relative_absolute_error 0.10980502079656135 relative_absolute_error 0.11395048070020966 relative_absolute_error 0.11879831942171327 relative_absolute_error 0.11069416824812864 relative_absolute_error 0.11209853005434947 relative_absolute_error 0.11237584213926688 relative_absolute_error 0.12039299975246691 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 0.16179006132062468 root_mean_squared_error 0.1676040103072237 root_mean_squared_error 0.173550310663424 root_mean_squared_error 0.15398448714999458 root_mean_squared_error 0.16253315899299944 root_mean_squared_error 0.16380760830664495 root_mean_squared_error 0.15952723406006308 root_mean_squared_error 0.15529051840029465 root_mean_squared_error 0.1599037707263772 root_mean_squared_error 0.1632365464304356 root_relative_squared_error 0.35823114167304726 root_relative_squared_error 0.37099113697860825 root_relative_squared_error 0.3841532607602489 root_relative_squared_error 0.34084435008523317 root_relative_squared_error 0.3597668178763079 root_relative_squared_error 0.36266676711036744 root_relative_squared_error 0.35319010417585744 root_relative_squared_error 0.34381010047897326 root_relative_squared_error 0.3540237488208303 root_relative_squared_error 0.3614024475430056 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 0.9585499539526454 [0.939024,0.978076] unweighted_recall 0.9517739694111922 [0.929949,0.973599] unweighted_recall 0.9523828178155682 [0.93401,0.970755] unweighted_recall 0.9595918880692105 [0.939086,0.980097] unweighted_recall 0.9567490835316094 [0.935025,0.978473] unweighted_recall 0.9559037202882184 [0.934959,0.976848] unweighted_recall 0.9616970636603197 [0.948171,0.975223] unweighted_recall 0.9563082430174423 [0.930894,0.981722] unweighted_recall 0.953362244325124 [0.927846,0.978879] unweighted_recall 0.9527513324483368 [0.92378,0.981722] usercpu_time_millis 31116.96726000082 usercpu_time_millis 32088.33235900056 usercpu_time_millis 30627.38079999872 usercpu_time_millis 31688.13600700014 usercpu_time_millis 31141.047366998464 usercpu_time_millis 27362.651641999037 usercpu_time_millis 31569.95868299964 usercpu_time_millis 25059.799488000863 usercpu_time_millis 29869.411861000117 usercpu_time_millis 23958.11699600017 usercpu_time_millis_testing 77.60128600057214 usercpu_time_millis_testing 78.99186500071664 usercpu_time_millis_testing 77.58592599930125 usercpu_time_millis_testing 77.27018399964436 usercpu_time_millis_testing 78.45418599936238 usercpu_time_millis_testing 74.75638699906995 usercpu_time_millis_testing 77.67440099996747 usercpu_time_millis_testing 74.3447870008822 usercpu_time_millis_testing 44.97436000019661 usercpu_time_millis_testing 75.77689400022791 usercpu_time_millis_training 31039.365974000248 usercpu_time_millis_training 32009.340493999844 usercpu_time_millis_training 30549.794873999417 usercpu_time_millis_training 31610.865823000495 usercpu_time_millis_training 31062.5931809991 usercpu_time_millis_training 27287.895254999967 usercpu_time_millis_training 31492.284281999673 usercpu_time_millis_training 24985.45470099998 usercpu_time_millis_training 29824.43750099992 usercpu_time_millis_training 23882.340101999944 wall_clock_time_millis 31742.039442062378 wall_clock_time_millis 32615.268230438232 wall_clock_time_millis 31217.605590820312 wall_clock_time_millis 32235.808610916138 wall_clock_time_millis 31777.963399887085 wall_clock_time_millis 27781.453132629395 wall_clock_time_millis 32140.663623809814 wall_clock_time_millis 25502.5532245636 wall_clock_time_millis 30397.91464805603 wall_clock_time_millis 24361.734867095947 wall_clock_time_millis_testing 77.72397994995117 wall_clock_time_millis_testing 79.01692390441895 wall_clock_time_millis_testing 77.83985137939453 wall_clock_time_millis_testing 77.59308815002441 wall_clock_time_millis_testing 78.85599136352539 wall_clock_time_millis_testing 74.8133659362793 wall_clock_time_millis_testing 77.69513130187988 wall_clock_time_millis_testing 74.52225685119629 wall_clock_time_millis_testing 45.02558708190918 wall_clock_time_millis_testing 75.86789131164551 wall_clock_time_millis_training 31664.315462112427 wall_clock_time_millis_training 32536.251306533813 wall_clock_time_millis_training 31139.765739440918 wall_clock_time_millis_training 32158.215522766113 wall_clock_time_millis_training 31699.10740852356 wall_clock_time_millis_training 27706.639766693115 wall_clock_time_millis_training 32062.968492507935 wall_clock_time_millis_training 25428.030967712402 wall_clock_time_millis_training 30352.88906097412 wall_clock_time_millis_training 24285.8669757843 weighted_recall 0.9669277632724108 [0.939024,0.978076] weighted_recall 0.9611256164780969 [0.929949,0.973599] weighted_recall 0.9602552944589499 [0.93401,0.970755] weighted_recall 0.9683782999709892 [0.939086,0.980097] weighted_recall 0.9660574412532638 [0.935025,0.978473] weighted_recall 0.9648868253047012 [0.934959,0.976848] weighted_recall 0.967498549042368 [0.948171,0.975223] weighted_recall 0.9672083575159606 [0.930894,0.981722] weighted_recall 0.9643064422518862 [0.927846,0.978879] weighted_recall 0.9651770168311086 [0.92378,0.981722]