10586393 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) 8302675 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 "most_frequent" 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 0.19946264724292123 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1158 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 115 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 17 19040 random_state 42750 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.17401882273705357 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 22099054 description https://api.openml.org/data/download/22099054/description.xml -1 22099055 predictions https://api.openml.org/data/download/22099055/predictions.arff area_under_roc_curve 0.9927918520677577 [0.992792,0.992792] average_cost 0 f_measure 0.9625828250489421 [0.934313,0.973886] kappa 0.9081990257146757 kb_relative_information_score 0.8583993219758913 mean_absolute_error 0.06029457509360243 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9626287538082112 [0.930516,0.975468] number_of_instances 34465 [9844,24621] precision 0.9625494415624092 [0.93814,0.972309] predictive_accuracy 0.9626287538082113 prior_entropy 0.8629999933345911 relative_absolute_error 0.1477480779167184 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.1667258550896165 root_relative_squared_error 0.3690987628704422 total_cost 0 unweighted_recall 0.9529920733632722 [0.930516,0.975468] area_under_roc_curve 0.9928017999729327 [0.992802,0.992802] area_under_roc_curve 0.9933222546153307 [0.993322,0.993322] area_under_roc_curve 0.9915334402718271 [0.991533,0.991533] area_under_roc_curve 0.9940290383370378 [0.994029,0.994029] area_under_roc_curve 0.9931896811226067 [0.99319,0.99319] area_under_roc_curve 0.992560909565229 [0.992561,0.992561] area_under_roc_curve 0.9924106582658028 [0.992411,0.992411] area_under_roc_curve 0.9939808669004644 [0.993981,0.993981] area_under_roc_curve 0.9911469375152727 [0.991147,0.991147] area_under_roc_curve 0.9931268286078474 [0.993127,0.993127] 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 0.9611137316102633 [0.931841,0.972808] f_measure 0.9639936312796102 [0.936864,0.974848] f_measure 0.9622629856456408 [0.933876,0.97362] f_measure 0.9657040448267579 [0.939734,0.976094] f_measure 0.9634575849067213 [0.936105,0.974401] f_measure 0.9613027723158345 [0.93183,0.973082] f_measure 0.9608774470523868 [0.931715,0.972533] f_measure 0.9657152888027933 [0.939796,0.976075] f_measure 0.9616117945850643 [0.932446,0.973269] f_measure 0.9597777913833836 [0.928866,0.972132] kappa 0.9046497830613188 kappa 0.9117117422300476 kappa 0.9074961727679434 kappa 0.9158296802262056 kappa 0.9105061636968088 kappa 0.9049150534533589 kappa 0.9042485795051082 kappa 0.9158710901164234 kappa 0.9057167090473589 kappa 0.9010065297870533 kb_relative_information_score 0.8573746057096497 kb_relative_information_score 0.8614308138988038 kb_relative_information_score 0.8506057878314056 kb_relative_information_score 0.8625397078732847 kb_relative_information_score 0.8613412391445437 kb_relative_information_score 0.8546002199484904 kb_relative_information_score 0.8570650106869836 kb_relative_information_score 0.8648479318784028 kb_relative_information_score 0.858173624791335 kb_relative_information_score 0.8560130346376695 mean_absolute_error 0.06085045073858259 mean_absolute_error 0.059254823292065266 mean_absolute_error 0.06343399222477795 mean_absolute_error 0.059209573927244234 mean_absolute_error 0.05905221454822202 mean_absolute_error 0.061846272691598085 mean_absolute_error 0.06034058709152793 mean_absolute_error 0.057392529103327296 mean_absolute_error 0.06040224109804585 mean_absolute_error 0.0611629709857922 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 0.9611026263016704 [0.93279,0.972414] precision 0.9639676325000639 [0.939734,0.973663] precision 0.9622430511421938 [0.93578,0.97283] precision 0.965669170406383 [0.945529,0.973727] precision 0.9634694747353799 [0.935157,0.974797] precision 0.9612578850532023 [0.940021,0.969746] precision 0.9609464371560513 [0.927492,0.974317] precision 0.9656857890048941 [0.943648,0.974494] precision 0.9615673871527688 [0.939175,0.970517] precision 0.9597569514429035 [0.942469,0.966667] predictive_accuracy 0.9611256164780968 predictive_accuracy 0.9640266898752539 predictive_accuracy 0.9622860458369596 predictive_accuracy 0.9657673339135481 predictive_accuracy 0.9634464751958224 predictive_accuracy 0.9614045269878119 predictive_accuracy 0.960824143934997 predictive_accuracy 0.9657573998839234 predictive_accuracy 0.9616947185142193 predictive_accuracy 0.9599535693557748 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 0.14913488886691878 relative_absolute_error 0.14518000168944473 relative_absolute_error 0.1554193665040378 relative_absolute_error 0.1450691364046259 relative_absolute_error 0.1446835908297165 relative_absolute_error 0.1515622994008348 relative_absolute_error 0.14787242187403019 relative_absolute_error 0.1406478240443959 relative_absolute_error 0.1480235130002768 relative_absolute_error 0.14988778009337583 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 0.1665335555166556 root_mean_squared_error 0.16504526689245447 root_mean_squared_error 0.17209830439963159 root_mean_squared_error 0.16079437480170525 root_mean_squared_error 0.1661741910744042 root_mean_squared_error 0.1694973206901269 root_mean_squared_error 0.16812607521343742 root_mean_squared_error 0.1618208461717775 root_mean_squared_error 0.16744404738567606 root_mean_squared_error 0.16939975869532636 root_relative_squared_error 0.36873405716422897 root_relative_squared_error 0.3653273636181635 root_relative_squared_error 0.3809392478394543 root_relative_squared_error 0.3559180225944633 root_relative_squared_error 0.3678262350058854 root_relative_squared_error 0.3752636764800619 root_relative_squared_error 0.37222776643237515 root_relative_squared_error 0.3582681154975508 root_relative_squared_error 0.37071777046863164 root_relative_squared_error 0.3750476761757237 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 0.95204885970906 [0.930894,0.973203] unweighted_recall 0.9550229477911978 [0.93401,0.976036] unweighted_recall 0.9531953716799928 [0.93198,0.974411] unweighted_recall 0.9562414693184114 [0.93401,0.978473] unweighted_recall 0.9555303558247803 [0.937056,0.974005] unweighted_recall 0.9501112024727072 [0.92378,0.976442] unweighted_recall 0.953365546551485 [0.935976,0.970755] unweighted_recall 0.9568180242119237 [0.935976,0.97766] unweighted_recall 0.9509243757141064 [0.925813,0.976036] unweighted_recall 0.9466554225859074 [0.91565,0.97766] usercpu_time_millis 35642.78724599899 usercpu_time_millis 37045.67813699941 usercpu_time_millis 35207.23823299886 usercpu_time_millis 36268.39160799864 usercpu_time_millis 34435.805719998825 usercpu_time_millis 35488.57065499942 usercpu_time_millis 34614.864088000104 usercpu_time_millis 36135.91316900056 usercpu_time_millis 35486.384793999605 usercpu_time_millis 34214.89390300121 usercpu_time_millis_testing 73.92378899930918 usercpu_time_millis_testing 77.60550499915553 usercpu_time_millis_testing 78.82438900014677 usercpu_time_millis_testing 78.7506829983613 usercpu_time_millis_testing 75.47829299983277 usercpu_time_millis_testing 74.49822399939876 usercpu_time_millis_testing 78.05939500030945 usercpu_time_millis_testing 76.42863200089778 usercpu_time_millis_testing 74.43592399977206 usercpu_time_millis_testing 46.2946350016864 usercpu_time_millis_training 35568.86345699968 usercpu_time_millis_training 36968.07263200026 usercpu_time_millis_training 35128.413843998715 usercpu_time_millis_training 36189.640925000276 usercpu_time_millis_training 34360.32742699899 usercpu_time_millis_training 35414.07243100002 usercpu_time_millis_training 34536.804692999794 usercpu_time_millis_training 36059.48453699966 usercpu_time_millis_training 35411.94886999983 usercpu_time_millis_training 34168.599267999525 wall_clock_time_millis 36223.061084747314 wall_clock_time_millis 37784.99388694763 wall_clock_time_millis 35754.358530044556 wall_clock_time_millis 36992.6917552948 wall_clock_time_millis 34997.85661697388 wall_clock_time_millis 36143.32175254822 wall_clock_time_millis 35116.997480392456 wall_clock_time_millis 36859.84230041504 wall_clock_time_millis 36158.8351726532 wall_clock_time_millis 34713.672161102295 wall_clock_time_millis_testing 73.93741607666016 wall_clock_time_millis_testing 77.88252830505371 wall_clock_time_millis_testing 79.05745506286621 wall_clock_time_millis_testing 79.00619506835938 wall_clock_time_millis_testing 75.6375789642334 wall_clock_time_millis_testing 74.90873336791992 wall_clock_time_millis_testing 81.54010772705078 wall_clock_time_millis_testing 88.87314796447754 wall_clock_time_millis_testing 77.58665084838867 wall_clock_time_millis_testing 46.38862609863281 wall_clock_time_millis_training 36149.123668670654 wall_clock_time_millis_training 37707.11135864258 wall_clock_time_millis_training 35675.30107498169 wall_clock_time_millis_training 36913.68556022644 wall_clock_time_millis_training 34922.21903800964 wall_clock_time_millis_training 36068.4130191803 wall_clock_time_millis_training 35035.457372665405 wall_clock_time_millis_training 36770.96915245056 wall_clock_time_millis_training 36081.24852180481 wall_clock_time_millis_training 34667.28353500366 weighted_recall 0.9611256164780969 [0.930894,0.973203] weighted_recall 0.9640266898752539 [0.93401,0.976036] weighted_recall 0.9622860458369596 [0.93198,0.974411] weighted_recall 0.965767333913548 [0.93401,0.978473] weighted_recall 0.9634464751958225 [0.937056,0.974005] weighted_recall 0.961404526987812 [0.92378,0.976442] weighted_recall 0.960824143934997 [0.935976,0.970755] weighted_recall 0.9657573998839234 [0.935976,0.97766] weighted_recall 0.9616947185142194 [0.925813,0.976036] weighted_recall 0.9599535693557748 [0.91565,0.97766]