10586593 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) 8302875 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 0.5959639090637575 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 87 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 95 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 4549 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.25280516592862795 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 22099457 description https://api.openml.org/data/download/22099457/description.xml -1 22099458 predictions https://api.openml.org/data/download/22099458/predictions.arff area_under_roc_curve 0.9935785776904489 [0.993579,0.993579] average_cost 0 f_measure 0.9662167612728197 [0.940703,0.976418] kappa 0.9171209452727612 kb_relative_information_score 0.8846474774024752 mean_absolute_error 0.047553698311118456 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9662556216451472 [0.937119,0.977905] number_of_instances 34465 [9844,24621] precision 0.9661889854193184 [0.944314,0.974935] predictive_accuracy 0.9662556216451472 prior_entropy 0.8629999933345911 relative_absolute_error 0.1165273577663 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.1597393412291266 root_relative_squared_error 0.35363197386343465 total_cost 0 unweighted_recall 0.9575120488532194 [0.937119,0.977905] area_under_roc_curve 0.994190853906103 [0.994191,0.994191] area_under_roc_curve 0.9942143938113127 [0.994214,0.994214] area_under_roc_curve 0.991692610934942 [0.991693,0.991693] area_under_roc_curve 0.9943209886724919 [0.994321,0.994321] area_under_roc_curve 0.9939552260347125 [0.993955,0.993955] area_under_roc_curve 0.9932892568669797 [0.993289,0.993289] area_under_roc_curve 0.9931928731350678 [0.993193,0.993193] area_under_roc_curve 0.9952468579316175 [0.995247,0.995247] area_under_roc_curve 0.991780552198292 [0.991781,0.991781] area_under_roc_curve 0.9938871662274705 [0.993887,0.993887] 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 0.9697729470685449 [0.94683,0.978939] f_measure 0.9659893924885034 [0.940215,0.976301] f_measure 0.9594096122432625 [0.929078,0.971545] f_measure 0.9707125036825757 [0.948809,0.979476] f_measure 0.9657568886502482 [0.940041,0.976045] f_measure 0.9632753747413503 [0.935052,0.974556] f_measure 0.9643118809478544 [0.937532,0.975015] f_measure 0.9724275961174218 [0.951703,0.980711] f_measure 0.9639719984029356 [0.936735,0.974858] f_measure 0.9665294474042542 [0.940995,0.976735] kappa 0.9257702141616537 kappa 0.9165174720690947 kappa 0.9006228933486653 kappa 0.9282847032209437 kappa 0.9160861580306593 kappa 0.9096146576316575 kappa 0.9125469856359819 kappa 0.9324137680444318 kappa 0.9115933489359026 kappa 0.9177332413837771 kb_relative_information_score 0.8881235775362623 kb_relative_information_score 0.886600341715394 kb_relative_information_score 0.8703181694558308 kb_relative_information_score 0.8928289082697465 kb_relative_information_score 0.8837243757406352 kb_relative_information_score 0.8816923326408839 kb_relative_information_score 0.8800771115852549 kb_relative_information_score 0.8968752728341195 kb_relative_information_score 0.880721289196218 kb_relative_information_score 0.8855159392898594 mean_absolute_error 0.0465841638010563 mean_absolute_error 0.04667414777196117 mean_absolute_error 0.052583223987403144 mean_absolute_error 0.044766939803925605 mean_absolute_error 0.047715691719189365 mean_absolute_error 0.048784259444619546 mean_absolute_error 0.04856635073332697 mean_absolute_error 0.043184211397578276 mean_absolute_error 0.049111221301767136 mean_absolute_error 0.04756661189802791 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 0.9697456660535665 [0.952675,0.976566] precision 0.9659547261068713 [0.946502,0.973737] precision 0.9594373496266826 [0.927199,0.972335] precision 0.9707276223783887 [0.947368,0.980073] precision 0.9657472280809218 [0.940997,0.975649] precision 0.9632706665729251 [0.948745,0.969076] precision 0.9643175152322554 [0.937056,0.975213] precision 0.9724235854935697 [0.952187,0.980512] precision 0.9639403236639932 [0.940574,0.973279] precision 0.9665026180604827 [0.950259,0.972995] predictive_accuracy 0.9698288366695678 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9593849724398028 predictive_accuracy 0.9706991586887148 predictive_accuracy 0.9657673339135481 predictive_accuracy 0.963435867672664 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.9724318049912942 predictive_accuracy 0.9640162507254789 predictive_accuracy 0.9666279744631457 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 0.11417046229082212 relative_absolute_error 0.11435613973544836 relative_absolute_error 0.1288339433517457 relative_absolute_error 0.10968329724536531 relative_absolute_error 0.11690802232689418 relative_absolute_error 0.11955214460317666 relative_absolute_error 0.11901813109022552 relative_absolute_error 0.1058285017411868 relative_absolute_error 0.12035340697080174 relative_absolute_error 0.11656814162305391 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 0.15633929465750868 root_mean_squared_error 0.1591246613844505 root_mean_squared_error 0.17148565832289622 root_mean_squared_error 0.15096243341098411 root_mean_squared_error 0.1624742963068044 root_mean_squared_error 0.16147686300902128 root_mean_squared_error 0.1637852295365623 root_mean_squared_error 0.14741896215049105 root_mean_squared_error 0.16351910503587735 root_mean_squared_error 0.15949170099403095 root_relative_squared_error 0.346162202772951 root_relative_squared_error 0.35222211533090614 root_relative_squared_error 0.379583156990811 root_relative_squared_error 0.3341550402614954 root_relative_squared_error 0.359636525439766 root_relative_squared_error 0.35750654365808116 root_relative_squared_error 0.36261722096118865 root_relative_squared_error 0.32638263244647725 root_relative_squared_error 0.36202802664164524 root_relative_squared_error 0.35311143467865513 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 0.9611902498440332 [0.941057,0.981324] unweighted_recall 0.9564445562396138 [0.93401,0.978879] unweighted_recall 0.9508599751759743 [0.930964,0.970755] unweighted_recall 0.9645663836507812 [0.950254,0.978879] unweighted_recall 0.9577641057783899 [0.939086,0.976442] unweighted_recall 0.950922724600926 [0.921748,0.980097] unweighted_recall 0.9564126759261093 [0.938008,0.974817] unweighted_recall 0.9660646708010541 [0.95122,0.98091] unweighted_recall 0.9546843732044145 [0.932927,0.976442] unweighted_recall 0.9562071123351363 [0.931911,0.980504] usercpu_time_millis 33632.64192900169 usercpu_time_millis 34067.13551100256 usercpu_time_millis 33663.378704000934 usercpu_time_millis 33913.11337500156 usercpu_time_millis 33162.95500200067 usercpu_time_millis 33470.81377699942 usercpu_time_millis 33349.15515600369 usercpu_time_millis 33581.11304099657 usercpu_time_millis 34264.28594299796 usercpu_time_millis 33894.48808799716 usercpu_time_millis_testing 79.45631999973557 usercpu_time_millis_testing 80.16151000265381 usercpu_time_millis_testing 76.85643500008155 usercpu_time_millis_testing 78.37458500216599 usercpu_time_millis_testing 77.83558899973286 usercpu_time_millis_testing 76.70246599809616 usercpu_time_millis_testing 79.40890400277567 usercpu_time_millis_testing 76.68493299934198 usercpu_time_millis_testing 78.34084500063909 usercpu_time_millis_testing 46.181002999219345 usercpu_time_millis_training 33553.18560900196 usercpu_time_millis_training 33986.97400099991 usercpu_time_millis_training 33586.52226900085 usercpu_time_millis_training 33834.73878999939 usercpu_time_millis_training 33085.11941300094 usercpu_time_millis_training 33394.111311001325 usercpu_time_millis_training 33269.746252000914 usercpu_time_millis_training 33504.42810799723 usercpu_time_millis_training 34185.94509799732 usercpu_time_millis_training 33848.30708499794 wall_clock_time_millis 34155.90262413025 wall_clock_time_millis 34741.058111190796 wall_clock_time_millis 34171.271562576294 wall_clock_time_millis 34555.27591705322 wall_clock_time_millis 33752.95400619507 wall_clock_time_millis 34020.42746543884 wall_clock_time_millis 33878.11350822449 wall_clock_time_millis 34212.66555786133 wall_clock_time_millis 34890.45238494873 wall_clock_time_millis 34449.23424720764 wall_clock_time_millis_testing 80.67941665649414 wall_clock_time_millis_testing 80.31034469604492 wall_clock_time_millis_testing 78.42350006103516 wall_clock_time_millis_testing 81.66813850402832 wall_clock_time_millis_testing 77.86226272583008 wall_clock_time_millis_testing 76.87687873840332 wall_clock_time_millis_testing 79.70213890075684 wall_clock_time_millis_testing 77.01539993286133 wall_clock_time_millis_testing 78.50933074951172 wall_clock_time_millis_testing 46.213388442993164 wall_clock_time_millis_training 34075.223207473755 wall_clock_time_millis_training 34660.74776649475 wall_clock_time_millis_training 34092.84806251526 wall_clock_time_millis_training 34473.607778549194 wall_clock_time_millis_training 33675.09174346924 wall_clock_time_millis_training 33943.55058670044 wall_clock_time_millis_training 33798.41136932373 wall_clock_time_millis_training 34135.65015792847 wall_clock_time_millis_training 34811.94305419922 wall_clock_time_millis_training 34403.02085876465 weighted_recall 0.9698288366695678 [0.941057,0.981324] weighted_recall 0.9660574412532638 [0.93401,0.978879] weighted_recall 0.9593849724398027 [0.930964,0.970755] weighted_recall 0.9706991586887148 [0.950254,0.978879] weighted_recall 0.965767333913548 [0.939086,0.976442] weighted_recall 0.963435867672664 [0.921748,0.980097] weighted_recall 0.9643064422518862 [0.938008,0.974817] weighted_recall 0.9724318049912942 [0.95122,0.98091] weighted_recall 0.9640162507254788 [0.932927,0.976442] weighted_recall 0.9666279744631456 [0.931911,0.980504]