10586397 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) 8302679 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 0.3018921639299055 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1913 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 69 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 19 19040 random_state 37986 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3119210295731027 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 22099062 description https://api.openml.org/data/download/22099062/description.xml -1 22099063 predictions https://api.openml.org/data/download/22099063/predictions.arff area_under_roc_curve 0.9933131725970178 [0.993313,0.993313] average_cost 0 f_measure 0.9650790160373053 [0.938686,0.975632] kappa 0.9143181204565124 kb_relative_information_score 0.8707696206274274 mean_absolute_error 0.05458518519557128 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9651240388800232 [0.934681,0.977296] number_of_instances 34465 [9844,24621] precision 0.9650478808213432 [0.942725,0.973973] predictive_accuracy 0.9651240388800233 prior_entropy 0.8629999933345911 relative_absolute_error 0.13375757574962152 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16208325944762325 root_relative_squared_error 0.358820954986078 total_cost 0 unweighted_recall 0.9559884141843085 [0.934681,0.977296] area_under_roc_curve 0.9924700609673575 [0.99247,0.99247] area_under_roc_curve 0.9933919433253472 [0.993392,0.993392] area_under_roc_curve 0.992159813943515 [0.99216,0.99216] area_under_roc_curve 0.9948463343326172 [0.994846,0.994846] area_under_roc_curve 0.9936041021496287 [0.993604,0.993604] area_under_roc_curve 0.9939280312786881 [0.993928,0.993928] area_under_roc_curve 0.9926467674506152 [0.992647,0.992647] area_under_roc_curve 0.9951754472865606 [0.995175,0.995175] area_under_roc_curve 0.991656305931459 [0.991656,0.991656] area_under_roc_curve 0.9935358918983178 [0.993536,0.993536] 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 0.9636637383122141 [0.936061,0.974691] f_measure 0.9634353217790786 [0.935976,0.974421] f_measure 0.9631619722975382 [0.935566,0.974203] f_measure 0.9685908699963864 [0.944729,0.978138] f_measure 0.9666325710722277 [0.941595,0.97665] f_measure 0.9663067957645715 [0.940877,0.976471] f_measure 0.9634691319934121 [0.93617,0.97438] f_measure 0.9683154796869031 [0.944303,0.977913] f_measure 0.9662963856027461 [0.940816,0.97648] f_measure 0.9609058588970851 [0.930714,0.972973] kappa 0.9107541761453137 kappa 0.9103970839988399 kappa 0.9097684339056443 kappa 0.9228684589355284 kappa 0.9182444727546543 kappa 0.9173475523266729 kappa 0.9105503736647327 kappa 0.9222163456381273 kappa 0.9172970038432636 kappa 0.9036981299546776 kb_relative_information_score 0.8691096642843809 kb_relative_information_score 0.8692145344338168 kb_relative_information_score 0.8606014993247894 kb_relative_information_score 0.8762062260459048 kb_relative_information_score 0.8732190253408727 kb_relative_information_score 0.8721019834083981 kb_relative_information_score 0.868500820982832 kb_relative_information_score 0.8807460813416538 kb_relative_information_score 0.8704635890242501 kb_relative_information_score 0.8675353857779844 mean_absolute_error 0.055422268481512486 mean_absolute_error 0.054971874494002926 mean_absolute_error 0.05845254481076319 mean_absolute_error 0.053147187038863467 mean_absolute_error 0.05336469557615996 mean_absolute_error 0.05452122848622903 mean_absolute_error 0.055047808401622995 mean_absolute_error 0.05061621826208348 mean_absolute_error 0.05495462232417612 mean_absolute_error 0.055352698147496764 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 0.9636241761920677 [0.942327,0.972132] precision 0.9634249502744996 [0.936928,0.974026] precision 0.9631677717935166 [0.935091,0.974401] precision 0.9685641940578381 [0.952528,0.97498] precision 0.9666276825322886 [0.942073,0.976451] precision 0.966282900436534 [0.943763,0.975284] precision 0.9635094080660012 [0.933333,0.97557] precision 0.968285817032682 [0.94964,0.975738] precision 0.9662676107851942 [0.944672,0.974899] precision 0.9609270914350031 [0.947368,0.966346] predictive_accuracy 0.9637365825355382 predictive_accuracy 0.9634464751958224 predictive_accuracy 0.9631563678561068 predictive_accuracy 0.9686684073107049 predictive_accuracy 0.9666376559326951 predictive_accuracy 0.9663377829367383 predictive_accuracy 0.963435867672664 predictive_accuracy 0.9683691236215902 predictive_accuracy 0.9663377829367383 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 0.13583126748315402 relative_absolute_error 0.1346863662486019 relative_absolute_error 0.14321434244350048 relative_absolute_error 0.13021570693173698 relative_absolute_error 0.13074862371484045 relative_absolute_error 0.133611330091583 relative_absolute_error 0.1349017823585027 relative_absolute_error 0.12404159689672106 relative_absolute_error 0.13467341780951167 relative_absolute_error 0.135648954159442 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 0.16490681194664586 root_mean_squared_error 0.16442317414268903 root_mean_squared_error 0.16870246732816768 root_mean_squared_error 0.15468026339280863 root_mean_squared_error 0.16198997117992062 root_mean_squared_error 0.1595642398959524 root_mean_squared_error 0.16386163071773008 root_mean_squared_error 0.1529681792640614 root_mean_squared_error 0.16202123227680487 root_mean_squared_error 0.16700711357585998 root_relative_squared_error 0.36513216591369635 root_relative_squared_error 0.36395036257792235 root_relative_squared_error 0.37342256936721957 root_relative_squared_error 0.3423844493879356 root_relative_squared_error 0.3585644727534337 root_relative_squared_error 0.3532720343560543 root_relative_squared_error 0.36278637164755767 root_relative_squared_error 0.33866848809980377 root_relative_squared_error 0.3587117663244896 root_relative_squared_error 0.3697504077564517 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 0.9535707742887417 [0.929878,0.977263] unweighted_recall 0.9549213012407889 [0.935025,0.974817] unweighted_recall 0.9550227416115824 [0.936041,0.974005] unweighted_recall 0.9591859204064213 [0.937056,0.981316] unweighted_recall 0.9589824211259881 [0.941117,0.976848] unweighted_recall 0.9578342843745253 [0.938008,0.97766] unweighted_recall 0.956108458322601 [0.939024,0.973193] unweighted_recall 0.9595609359830397 [0.939024,0.980097] unweighted_recall 0.9575292412144267 [0.936992,0.978067] unweighted_recall 0.947162727110618 [0.914634,0.979691] usercpu_time_millis 29302.521397999953 usercpu_time_millis 29864.85308400006 usercpu_time_millis 30095.053844001086 usercpu_time_millis 30782.806156001243 usercpu_time_millis 30500.30047999826 usercpu_time_millis 31282.77435400014 usercpu_time_millis 30698.838332000378 usercpu_time_millis 31947.40432099934 usercpu_time_millis 30641.49694200023 usercpu_time_millis 29969.101224000042 usercpu_time_millis_testing 79.11563500056218 usercpu_time_millis_testing 77.5362700005644 usercpu_time_millis_testing 79.22393800072314 usercpu_time_millis_testing 78.38081299996702 usercpu_time_millis_testing 79.12139799918805 usercpu_time_millis_testing 79.51374000003852 usercpu_time_millis_testing 79.9707349997334 usercpu_time_millis_testing 77.35034899997117 usercpu_time_millis_testing 77.45848400008981 usercpu_time_millis_testing 45.56834799950593 usercpu_time_millis_training 29223.40576299939 usercpu_time_millis_training 29787.316813999496 usercpu_time_millis_training 30015.829906000363 usercpu_time_millis_training 30704.425343001276 usercpu_time_millis_training 30421.17908199907 usercpu_time_millis_training 31203.2606140001 usercpu_time_millis_training 30618.867597000644 usercpu_time_millis_training 31870.05397199937 usercpu_time_millis_training 30564.03845800014 usercpu_time_millis_training 29923.532876000536 wall_clock_time_millis 29775.54202079773 wall_clock_time_millis 30478.655576705933 wall_clock_time_millis 30637.61043548584 wall_clock_time_millis 31331.283569335938 wall_clock_time_millis 31000.45919418335 wall_clock_time_millis 31903.215646743774 wall_clock_time_millis 31260.14471054077 wall_clock_time_millis 32549.705743789673 wall_clock_time_millis 31089.280605316162 wall_clock_time_millis 30524.486303329468 wall_clock_time_millis_testing 82.56006240844727 wall_clock_time_millis_testing 77.6512622833252 wall_clock_time_millis_testing 79.45609092712402 wall_clock_time_millis_testing 78.45044136047363 wall_clock_time_millis_testing 79.3008804321289 wall_clock_time_millis_testing 81.27737045288086 wall_clock_time_millis_testing 80.05428314208984 wall_clock_time_millis_testing 77.47578620910645 wall_clock_time_millis_testing 77.57401466369629 wall_clock_time_millis_testing 45.578718185424805 wall_clock_time_millis_training 29692.981958389282 wall_clock_time_millis_training 30401.004314422607 wall_clock_time_millis_training 30558.154344558716 wall_clock_time_millis_training 31252.833127975464 wall_clock_time_millis_training 30921.15831375122 wall_clock_time_millis_training 31821.938276290894 wall_clock_time_millis_training 31180.09042739868 wall_clock_time_millis_training 32472.229957580566 wall_clock_time_millis_training 31011.706590652466 wall_clock_time_millis_training 30478.907585144043 weighted_recall 0.9637365825355382 [0.929878,0.977263] weighted_recall 0.9634464751958225 [0.935025,0.974817] weighted_recall 0.9631563678561068 [0.936041,0.974005] weighted_recall 0.9686684073107049 [0.937056,0.981316] weighted_recall 0.9666376559326951 [0.941117,0.976848] weighted_recall 0.9663377829367382 [0.938008,0.97766] weighted_recall 0.963435867672664 [0.939024,0.973193] weighted_recall 0.9683691236215902 [0.939024,0.980097] weighted_recall 0.9663377829367382 [0.936992,0.978067] weighted_recall 0.9611143354614046 [0.914634,0.979691]