10586613 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) 8302895 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 0.3296180756866918 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1309 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 106 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 31181 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.012158707522642842 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 22099497 description https://api.openml.org/data/download/22099497/description.xml -1 22099498 predictions https://api.openml.org/data/download/22099498/predictions.arff area_under_roc_curve 0.9936170108037358 [0.993617,0.993617] average_cost 0 f_measure 0.9651010401778201 [0.938696,0.975658] kappa 0.9143553752537225 kb_relative_information_score 0.8713136589155797 mean_absolute_error 0.05454395770920973 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9651530538227187 [0.934072,0.97758] number_of_instances 34465 [9844,24621] precision 0.9650675603038231 [0.943367,0.973744] predictive_accuracy 0.9651530538227188 prior_entropy 0.8629999933345911 relative_absolute_error 0.13365655037780655 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16070690927909745 root_relative_squared_error 0.3557739821922883 total_cost 0 unweighted_recall 0.9558258150902093 [0.934072,0.97758] area_under_roc_curve 0.9937159389864301 [0.993716,0.993716] area_under_roc_curve 0.994197487082847 [0.994197,0.994197] area_under_roc_curve 0.9929185549283114 [0.992919,0.992919] area_under_roc_curve 0.9951869430573138 [0.995187,0.995187] area_under_roc_curve 0.993290090595323 [0.99329,0.99329] area_under_roc_curve 0.9923565843091412 [0.992357,0.992357] area_under_roc_curve 0.9930203318077048 [0.99302,0.99302] area_under_roc_curve 0.9953801853209433 [0.99538,0.99538] area_under_roc_curve 0.9923636015401583 [0.992364,0.992364] area_under_roc_curve 0.9939300951701637 [0.99393,0.99393] 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 0.9663061522053631 [0.940816,0.97649] f_measure 0.966031473079206 [0.940458,0.976263] f_measure 0.9654719648486529 [0.939563,0.975838] f_measure 0.9671927902388914 [0.942494,0.977074] f_measure 0.9657358749273712 [0.939919,0.976065] f_measure 0.9588435713204305 [0.926981,0.971578] f_measure 0.964038117859844 [0.93712,0.974797] f_measure 0.9686593151479976 [0.945122,0.978067] f_measure 0.9636304251088669 [0.93593,0.974701] f_measure 0.9650576227039729 [0.938335,0.975738] kappa 0.9173065373523996 kappa 0.9167211638829552 kappa 0.9154008022417726 kappa 0.9195683035792643 kappa 0.915983754702787 kappa 0.8985736442523062 kappa 0.9119165686825826 kappa 0.9231885637296664 kappa 0.9106344487343597 kappa 0.9140773370457332 kb_relative_information_score 0.8756236704722851 kb_relative_information_score 0.8727843443499753 kb_relative_information_score 0.8649572347355605 kb_relative_information_score 0.8790520279538001 kb_relative_information_score 0.8686849375975396 kb_relative_information_score 0.8521561410345094 kb_relative_information_score 0.8684163743414243 kb_relative_information_score 0.883679757033445 kb_relative_information_score 0.8731151338293526 kb_relative_information_score 0.8746661283139564 mean_absolute_error 0.0529012735165331 mean_absolute_error 0.053890813910392646 mean_absolute_error 0.05659887442861059 mean_absolute_error 0.051660502085940106 mean_absolute_error 0.05615962992630597 mean_absolute_error 0.06282340044287822 mean_absolute_error 0.055221278770387835 mean_absolute_error 0.049359167986317024 mean_absolute_error 0.05377428261605932 mean_absolute_error 0.053050791219087824 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 0.9662773732228607 [0.944672,0.974909] precision 0.9660104199756063 [0.942857,0.975274] precision 0.9654668990967038 [0.940041,0.975639] precision 0.9671726336615215 [0.944898,0.976084] precision 0.965711494627517 [0.942799,0.974878] precision 0.9588758119862344 [0.94509,0.964386] precision 0.964063107647628 [0.935223,0.97559] precision 0.9686593151479976 [0.945122,0.978067] precision 0.9635918636265106 [0.944157,0.971359] precision 0.9650343129297935 [0.949064,0.971417] predictive_accuracy 0.9663475485929794 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9654772265738323 predictive_accuracy 0.9672178706121265 predictive_accuracy 0.9657673339135481 predictive_accuracy 0.9590829947765525 predictive_accuracy 0.9640162507254789 predictive_accuracy 0.9686593151479976 predictive_accuracy 0.9637260591990714 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 0.12965270513278715 relative_absolute_error 0.13203766410698317 relative_absolute_error 0.1386726721749702 relative_absolute_error 0.12657318617164237 relative_absolute_error 0.13759648100531055 relative_absolute_error 0.1539568774788198 relative_absolute_error 0.13532689395898692 relative_absolute_error 0.12096103242668957 relative_absolute_error 0.13178084251838024 relative_absolute_error 0.13000783316875428 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 0.1576540919343484 root_mean_squared_error 0.1589904040783824 root_mean_squared_error 0.16604707627604678 root_mean_squared_error 0.15366943656828796 root_mean_squared_error 0.1632377191933309 root_mean_squared_error 0.17166655936067 root_mean_squared_error 0.16294230999034834 root_mean_squared_error 0.15053711974458187 root_mean_squared_error 0.16133667499902368 root_mean_squared_error 0.1599739144080362 root_relative_squared_error 0.34907339104809176 root_relative_squared_error 0.3519249370561466 root_relative_squared_error 0.3675448666574612 root_relative_squared_error 0.34014698626142686 root_relative_squared_error 0.36132636045116456 root_relative_squared_error 0.3800663274916312 root_relative_squared_error 0.3607510139521266 root_relative_squared_error 0.333286170967549 root_relative_squared_error 0.35719617020901473 root_relative_squared_error 0.3541790455284953 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 0.9575336937900438 [0.936992,0.978076] unweighted_recall 0.9576626654075965 [0.938071,0.977254] unweighted_recall 0.9575610188571877 [0.939086,0.976036] unweighted_recall 0.959084067676397 [0.940102,0.978067] unweighted_recall 0.9571550511943985 [0.937056,0.977254] unweighted_recall 0.9442159028617094 [0.909553,0.978879] unweighted_recall 0.9565146321650055 [0.939024,0.974005] unweighted_recall 0.9615942818648333 [0.945122,0.978067] unweighted_recall 0.9529560704827195 [0.927846,0.978067] unweighted_recall 0.9539715050887309 [0.927846,0.980097] usercpu_time_millis 46354.2220599993 usercpu_time_millis 46369.542412001465 usercpu_time_millis 46957.661026001006 usercpu_time_millis 46758.842502000334 usercpu_time_millis 35438.970304996474 usercpu_time_millis 25481.379836000997 usercpu_time_millis 37153.56024700304 usercpu_time_millis 46485.83651899753 usercpu_time_millis 46774.57463799874 usercpu_time_millis 39305.103616999986 usercpu_time_millis_testing 77.43345299968496 usercpu_time_millis_testing 80.98218200029805 usercpu_time_millis_testing 79.83521200003452 usercpu_time_millis_testing 76.20140699873446 usercpu_time_millis_testing 73.55467599700205 usercpu_time_millis_testing 71.77473499905318 usercpu_time_millis_testing 77.06514900201 usercpu_time_millis_testing 80.3185359982308 usercpu_time_millis_testing 79.69841099838959 usercpu_time_millis_testing 46.54769799890346 usercpu_time_millis_training 46276.78860699962 usercpu_time_millis_training 46288.56023000117 usercpu_time_millis_training 46877.82581400097 usercpu_time_millis_training 46682.6410950016 usercpu_time_millis_training 35365.41562899947 usercpu_time_millis_training 25409.605101001944 usercpu_time_millis_training 37076.49509800103 usercpu_time_millis_training 46405.5179829993 usercpu_time_millis_training 46694.87622700035 usercpu_time_millis_training 39258.55591900108 wall_clock_time_millis 47175.1811504364 wall_clock_time_millis 47240.92745780945 wall_clock_time_millis 47751.25336647034 wall_clock_time_millis 47601.02677345276 wall_clock_time_millis 36083.775997161865 wall_clock_time_millis 25902.60624885559 wall_clock_time_millis 37744.12393569946 wall_clock_time_millis 47436.05613708496 wall_clock_time_millis 47554.70299720764 wall_clock_time_millis 39812.34693527222 wall_clock_time_millis_testing 77.70538330078125 wall_clock_time_millis_testing 81.01081848144531 wall_clock_time_millis_testing 80.17563819885254 wall_clock_time_millis_testing 77.18563079833984 wall_clock_time_millis_testing 73.76265525817871 wall_clock_time_millis_testing 71.79594039916992 wall_clock_time_millis_testing 78.31907272338867 wall_clock_time_millis_testing 80.57403564453125 wall_clock_time_millis_testing 92.87405014038086 wall_clock_time_millis_testing 46.556949615478516 wall_clock_time_millis_training 47097.47576713562 wall_clock_time_millis_training 47159.916639328 wall_clock_time_millis_training 47671.077728271484 wall_clock_time_millis_training 47523.84114265442 wall_clock_time_millis_training 36010.01334190369 wall_clock_time_millis_training 25830.81030845642 wall_clock_time_millis_training 37665.804862976074 wall_clock_time_millis_training 47355.48210144043 wall_clock_time_millis_training 47461.82894706726 wall_clock_time_millis_training 39765.78998565674 weighted_recall 0.9663475485929794 [0.936992,0.978076] weighted_recall 0.9660574412532638 [0.938071,0.977254] weighted_recall 0.9654772265738323 [0.939086,0.976036] weighted_recall 0.9672178706121265 [0.940102,0.978067] weighted_recall 0.965767333913548 [0.937056,0.977254] weighted_recall 0.9590829947765526 [0.909553,0.978879] weighted_recall 0.9640162507254788 [0.939024,0.974005] weighted_recall 0.9686593151479976 [0.945122,0.978067] weighted_recall 0.9637260591990714 [0.927846,0.978067] weighted_recall 0.9651770168311086 [0.927846,0.980097]