10586480 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) 8302762 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 0.7150573824760391 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1749 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 154 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 1 19040 random_state 5961 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.028868710473636858 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 22099230 description https://api.openml.org/data/download/22099230/description.xml -1 22099231 predictions https://api.openml.org/data/download/22099231/predictions.arff area_under_roc_curve 0.989734767123225 [0.989735,0.989735] average_cost 0 f_measure 0.9551519733628234 [0.921175,0.968737] kappa 0.8899131265346337 kb_relative_information_score 0.8411515533442201 mean_absolute_error 0.06672136294527382 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9552299434208618 [0.915888,0.97096] number_of_instances 34465 [9844,24621] precision 0.9550987947922789 [0.926523,0.966524] predictive_accuracy 0.9552299434208618 prior_entropy 0.8629999933345911 relative_absolute_error 0.1634965188135797 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.1822911974849588 root_relative_squared_error 0.40355741728062733 total_cost 0 unweighted_recall 0.9434238001371824 [0.915888,0.97096] area_under_roc_curve 0.9899859382272262 [0.989986,0.989986] area_under_roc_curve 0.9906485173623855 [0.990649,0.990649] area_under_roc_curve 0.9891219634897138 [0.989122,0.989122] area_under_roc_curve 0.9916301385114655 [0.99163,0.99163] area_under_roc_curve 0.9891514471747207 [0.989151,0.989151] area_under_roc_curve 0.9909824453646648 [0.990982,0.990982] area_under_roc_curve 0.9907209503147022 [0.990721,0.990721] area_under_roc_curve 0.9918418497751184 [0.991842,0.991842] area_under_roc_curve 0.9835266374089411 [0.983527,0.983527] area_under_roc_curve 0.9888605585385667 [0.988861,0.988861] 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 0.9587921633481897 [0.927772,0.971185] f_measure 0.9573346834219629 [0.925267,0.970164] f_measure 0.9545013609655247 [0.920587,0.96807] f_measure 0.9604724584443989 [0.930541,0.972447] f_measure 0.9524512600563929 [0.91692,0.966667] f_measure 0.9545168065115418 [0.919505,0.96851] f_measure 0.955809201196513 [0.92229,0.969206] f_measure 0.9596324655119131 [0.92919,0.9718] f_measure 0.9497273412902718 [0.91169,0.96493] f_measure 0.9482161277095206 [0.907668,0.964422] kappa 0.8989572327963229 kappa 0.895431401266564 kappa 0.8886572701990896 kappa 0.9029901399217287 kappa 0.8835868179227223 kappa 0.888025435358047 kappa 0.8914978415239421 kappa 0.9009898247683981 kappa 0.8766207345577757 kappa 0.8721252168312633 kb_relative_information_score 0.8509791636736239 kb_relative_information_score 0.843924931808721 kb_relative_information_score 0.8382900421306205 kb_relative_information_score 0.8520398493501844 kb_relative_information_score 0.8336727077268504 kb_relative_information_score 0.8437083878531517 kb_relative_information_score 0.8538059871756704 kb_relative_information_score 0.8509415496185203 kb_relative_information_score 0.8202550313616652 kb_relative_information_score 0.8238942597613271 mean_absolute_error 0.06300638599540423 mean_absolute_error 0.06607489719193226 mean_absolute_error 0.06683969846004706 mean_absolute_error 0.06307481432511292 mean_absolute_error 0.06941532298261535 mean_absolute_error 0.06534475538448818 mean_absolute_error 0.06072350906428551 mean_absolute_error 0.06259374410585875 mean_absolute_error 0.07590186221662151 mean_absolute_error 0.07424014747324174 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 0.9587803457088635 [0.928717,0.970791] precision 0.957316889650033 [0.92668,0.969574] precision 0.9545589729460658 [0.917339,0.96945] precision 0.9604277016175419 [0.93628,0.970089] precision 0.952483188269269 [0.915066,0.967453] precision 0.9544801075418036 [0.933962,0.962681] precision 0.9557555249356677 [0.927984,0.966855] precision 0.9596064249338949 [0.931563,0.970815] precision 0.9496733957290435 [0.915897,0.963173] precision 0.9483081368355718 [0.932476,0.954636] predictive_accuracy 0.9588047577603713 predictive_accuracy 0.9573542210617929 predictive_accuracy 0.954453147664636 predictive_accuracy 0.9605454017986655 predictive_accuracy 0.9524223962866261 predictive_accuracy 0.954730121880441 predictive_accuracy 0.9558908879860708 predictive_accuracy 0.9596633778293673 predictive_accuracy 0.9497968659315148 predictive_accuracy 0.9486360998258851 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 0.15441874726119198 relative_absolute_error 0.16188983702933704 relative_absolute_error 0.1637636735075882 relative_absolute_error 0.1545393461920514 relative_absolute_error 0.1700742006809586 relative_absolute_error 0.160135784241102 relative_absolute_error 0.14881082175095803 relative_absolute_error 0.15339407488788254 relative_absolute_error 0.1860073415211539 relative_absolute_error 0.1819350943752217 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 0.17675095972388052 root_mean_squared_error 0.17931099883036702 root_mean_squared_error 0.18771797687047342 root_mean_squared_error 0.17334076671273135 root_mean_squared_error 0.18788360613408872 root_mean_squared_error 0.18008337325006918 root_mean_squared_error 0.17456525629017805 root_mean_squared_error 0.17598504148446192 root_mean_squared_error 0.19299214830453165 root_mean_squared_error 0.19288088839665193 root_relative_squared_error 0.3913571549256894 root_relative_squared_error 0.3969045323373186 root_relative_squared_error 0.4155133611829781 root_relative_squared_error 0.3836894356502652 root_relative_squared_error 0.41587998122215813 root_relative_squared_error 0.3987009850279516 root_relative_squared_error 0.3864839844925777 root_relative_squared_error 0.3896273605037712 root_relative_squared_error 0.4272807547025874 root_relative_squared_error 0.4270344274927779 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 0.9492043215194637 [0.926829,0.971579] unweighted_recall 0.9473066756835885 [0.923858,0.970755] unweighted_recall 0.9452758064715658 [0.923858,0.966694] unweighted_recall 0.9498451591088093 [0.924873,0.974817] unweighted_recall 0.9423315615631713 [0.918782,0.965881] unweighted_recall 0.939949426403281 [0.905488,0.974411] unweighted_recall 0.944117248849174 [0.916667,0.971568] unweighted_recall 0.9498078104257891 [0.926829,0.972786] unweighted_recall 0.9371070350630395 [0.90752,0.966694] unweighted_recall 0.929278694695964 [0.884146,0.974411] usercpu_time_millis 9396.078230001876 usercpu_time_millis 8154.608959001052 usercpu_time_millis 10733.013112003391 usercpu_time_millis 9630.904505000217 usercpu_time_millis 7797.927558003721 usercpu_time_millis 8191.291727001953 usercpu_time_millis 10193.454845997621 usercpu_time_millis 8203.357081998547 usercpu_time_millis 5587.131217998831 usercpu_time_millis 5177.65643200255 usercpu_time_millis_testing 69.24989300023299 usercpu_time_millis_testing 70.99376200130791 usercpu_time_millis_testing 70.00009300099919 usercpu_time_millis_testing 79.83916800003499 usercpu_time_millis_testing 67.33330300266971 usercpu_time_millis_testing 70.24847299908288 usercpu_time_millis_testing 66.42269700023462 usercpu_time_millis_testing 67.4862009982462 usercpu_time_millis_testing 66.60066399854259 usercpu_time_millis_testing 40.28471399942646 usercpu_time_millis_training 9326.828337001643 usercpu_time_millis_training 8083.6151969997445 usercpu_time_millis_training 10663.013019002392 usercpu_time_millis_training 9551.065337000182 usercpu_time_millis_training 7730.594255001051 usercpu_time_millis_training 8121.0432540028705 usercpu_time_millis_training 10127.032148997387 usercpu_time_millis_training 8135.870881000301 usercpu_time_millis_training 5520.530554000288 usercpu_time_millis_training 5137.3717180031235 wall_clock_time_millis 9621.226072311401 wall_clock_time_millis 8266.024589538574 wall_clock_time_millis 10903.91755104065 wall_clock_time_millis 9837.462186813354 wall_clock_time_millis 7908.203363418579 wall_clock_time_millis 8386.502981185913 wall_clock_time_millis 10334.964036941528 wall_clock_time_millis 8397.557735443115 wall_clock_time_millis 5729.073762893677 wall_clock_time_millis 5244.800329208374 wall_clock_time_millis_testing 70.75262069702148 wall_clock_time_millis_testing 71.81406021118164 wall_clock_time_millis_testing 70.06406784057617 wall_clock_time_millis_testing 81.38632774353027 wall_clock_time_millis_testing 67.4285888671875 wall_clock_time_millis_testing 70.35136222839355 wall_clock_time_millis_testing 66.48850440979004 wall_clock_time_millis_testing 67.60668754577637 wall_clock_time_millis_testing 68.06588172912598 wall_clock_time_millis_testing 40.292978286743164 wall_clock_time_millis_training 9550.47345161438 wall_clock_time_millis_training 8194.210529327393 wall_clock_time_millis_training 10833.853483200073 wall_clock_time_millis_training 9756.075859069824 wall_clock_time_millis_training 7840.774774551392 wall_clock_time_millis_training 8316.15161895752 wall_clock_time_millis_training 10268.475532531738 wall_clock_time_millis_training 8329.951047897339 wall_clock_time_millis_training 5661.007881164551 wall_clock_time_millis_training 5204.507350921631 weighted_recall 0.9588047577603713 [0.926829,0.971579] weighted_recall 0.9573542210617929 [0.923858,0.970755] weighted_recall 0.954453147664636 [0.923858,0.966694] weighted_recall 0.9605454017986655 [0.924873,0.974817] weighted_recall 0.9524223962866261 [0.918782,0.965881] weighted_recall 0.954730121880441 [0.905488,0.974411] weighted_recall 0.9558908879860708 [0.916667,0.971568] weighted_recall 0.9596633778293674 [0.926829,0.972786] weighted_recall 0.9497968659315148 [0.90752,0.966694] weighted_recall 0.948636099825885 [0.884146,0.974411]