10586478 28997 Marc Boel 9985 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) 8302760 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 0.21373097426598447 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 2007 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 145 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 34817 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.033407284623348195 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 22099226 description https://api.openml.org/data/download/22099226/description.xml -1 22099227 predictions https://api.openml.org/data/download/22099227/predictions.arff area_under_roc_curve 0.8453186052002675 [0.794446,0.809838,0.835504,0.794328,0.819469,0.89527] average_cost 0 f_measure 0.565097439486919 [0.448659,0.341969,0.456165,0.388781,0.388742,0.774791] kappa 0.42335906890330205 kb_relative_information_score 0.36711053714031683 mean_absolute_error 0.18279740025567556 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5848316443282119 [0.445363,0.271605,0.427807,0.32577,0.354167,0.868833] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5612525991377642 [0.452004,0.461538,0.48855,0.482014,0.430799,0.699118] predictive_accuracy 0.5848316443282119 prior_entropy 2.3000072984859514 relative_absolute_error 0.7289602258677674 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.30122975711909794 root_relative_squared_error 0.8507514495086455 total_cost 0 unweighted_recall 0.4489241444352145 [0.445363,0.271605,0.427807,0.32577,0.354167,0.868833] area_under_roc_curve 0.8503701354760822 [0.809656,0.779329,0.826083,0.778666,0.844045,0.906969] area_under_roc_curve 0.8571479063399549 [0.823472,0.844747,0.869969,0.833504,0.803279,0.889164] area_under_roc_curve 0.8409075512259968 [0.77944,0.802371,0.832849,0.795103,0.810348,0.895403] area_under_roc_curve 0.8542029005280629 [0.800682,0.83117,0.862719,0.784692,0.81415,0.905641] area_under_roc_curve 0.8276193966539592 [0.761897,0.796643,0.790701,0.785513,0.832889,0.88148] area_under_roc_curve 0.8413899992003759 [0.781777,0.755392,0.844035,0.807522,0.812581,0.897858] area_under_roc_curve 0.8416729678809037 [0.815036,0.793218,0.823538,0.805044,0.806349,0.885198] area_under_roc_curve 0.8559464335814504 [0.761997,0.863215,0.860857,0.814346,0.848636,0.904802] area_under_roc_curve 0.8457317377925215 [0.80797,0.83992,0.822687,0.778331,0.806907,0.895114] area_under_roc_curve 0.8443534610341377 [0.813873,0.803156,0.830074,0.761848,0.817953,0.89534] 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 0.5681266497573582 [0.471698,0.28169,0.4,0.414414,0.396552,0.790941] f_measure 0.5601704606418512 [0.479638,0.272727,0.42963,0.454545,0.376068,0.758261] f_measure 0.5280694773822769 [0.346154,0.243902,0.492754,0.344086,0.366667,0.754717] f_measure 0.5802898997332062 [0.440191,0.390244,0.556291,0.316832,0.425926,0.78534] f_measure 0.5610278755828009 [0.407407,0.433735,0.408759,0.46,0.385965,0.763066] f_measure 0.5886493655254449 [0.481818,0.368421,0.503497,0.39604,0.4,0.794376] f_measure 0.5677220454765873 [0.52766,0.368421,0.396947,0.429907,0.336634,0.763066] f_measure 0.5777718560763571 [0.428571,0.410959,0.471429,0.380952,0.417391,0.790123] f_measure 0.5387016812391442 [0.432432,0.313253,0.411765,0.297872,0.362069,0.763573] f_measure 0.5747055001106302 [0.461538,0.325,0.473684,0.375,0.417391,0.785211] kappa 0.4301041759415902 kappa 0.4175632170234281 kappa 0.37487930989491114 kappa 0.4468657280334263 kappa 0.414419225634179 kappa 0.45649921553536005 kappa 0.428386434169104 kappa 0.4386400958679153 kappa 0.388427076666617 kappa 0.43731415045491534 kb_relative_information_score 0.36512204604015985 kb_relative_information_score 0.38343639133308877 kb_relative_information_score 0.3561038824857244 kb_relative_information_score 0.3753225491405766 kb_relative_information_score 0.3628990615384787 kb_relative_information_score 0.3749562968028596 kb_relative_information_score 0.36780686931527334 kb_relative_information_score 0.3758393483432445 kb_relative_information_score 0.35012142537911745 kb_relative_information_score 0.3594191782726464 mean_absolute_error 0.18249119244869066 mean_absolute_error 0.18008386912989127 mean_absolute_error 0.1834897986011128 mean_absolute_error 0.1811721102533846 mean_absolute_error 0.18409136981386265 mean_absolute_error 0.1819084477532406 mean_absolute_error 0.18311023842452306 mean_absolute_error 0.18119009991589508 mean_absolute_error 0.18598788236050615 mean_absolute_error 0.1844569186931317 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5626796205770749 [0.485437,0.434783,0.424242,0.469388,0.433962,0.713836] precision 0.5612866674447556 [0.473214,0.5,0.483333,0.520833,0.407407,0.68125] precision 0.5254200166081916 [0.36,0.30303,0.539683,0.516129,0.385965,0.670732] precision 0.5754989704516545 [0.46,0.484848,0.552632,0.410256,0.5,0.707547] precision 0.5611999265752836 [0.411215,0.529412,0.451613,0.605263,0.423077,0.68652] precision 0.5872449327201923 [0.477477,0.518519,0.529412,0.512821,0.433962,0.719745] precision 0.568040821001718 [0.492063,0.518519,0.464286,0.511111,0.435897,0.68652] precision 0.579062372167082 [0.417391,0.625,0.507692,0.454545,0.45283,0.720257] precision 0.5330832059749154 [0.424779,0.371429,0.459016,0.424242,0.388889,0.692063] precision 0.5693251374547986 [0.523256,0.40625,0.461538,0.411765,0.461538,0.714744] predictive_accuracy 0.5898692810457516 predictive_accuracy 0.5816993464052288 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.6013071895424836 predictive_accuracy 0.5784313725490197 predictive_accuracy 0.6078431372549019 predictive_accuracy 0.5898692810457516 predictive_accuracy 0.5947712418300654 predictive_accuracy 0.5597381342062193 predictive_accuracy 0.5924713584288053 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 relative_absolute_error 0.7279992942543723 relative_absolute_error 0.7179359000892009 relative_absolute_error 0.7313578658897744 relative_absolute_error 0.7222390243042919 relative_absolute_error 0.7338765946439091 relative_absolute_error 0.7251744191435466 relative_absolute_error 0.729965333819272 relative_absolute_error 0.7228071420596248 relative_absolute_error 0.7422186510094957 relative_absolute_error 0.7360766120964374 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.3008478878546814 root_mean_squared_error 0.2970755427927067 root_mean_squared_error 0.3049421635033123 root_mean_squared_error 0.2981020942355406 root_mean_squared_error 0.30527194273221053 root_mean_squared_error 0.30024530148689377 root_mean_squared_error 0.3021977296341972 root_mean_squared_error 0.29868765480083354 root_mean_squared_error 0.30321563506427884 root_mean_squared_error 0.30159969449266677 root_relative_squared_error 0.849976793660541 root_relative_squared_error 0.8387813581092571 root_relative_squared_error 0.8608084649787385 root_relative_squared_error 0.8416386128773619 root_relative_squared_error 0.8618814137833831 root_relative_squared_error 0.8476895800225718 root_relative_squared_error 0.8532019160625219 root_relative_squared_error 0.8438714532030587 root_relative_squared_error 0.8569785662993544 root_relative_squared_error 0.8523738268111859 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 0.444698860842806 [0.458716,0.208333,0.378378,0.370968,0.365079,0.886719] unweighted_recall 0.44462321920317244 [0.486239,0.1875,0.386667,0.403226,0.349206,0.854902] unweighted_recall 0.41012737711572084 [0.333333,0.204082,0.453333,0.258065,0.349206,0.862745] unweighted_recall 0.4699890266849563 [0.422018,0.326531,0.56,0.258065,0.370968,0.882353] unweighted_recall 0.454829996317359 [0.40367,0.367347,0.373333,0.370968,0.354839,0.858824] unweighted_recall 0.47196261912084553 [0.486239,0.285714,0.48,0.322581,0.370968,0.886275] unweighted_recall 0.4508621852608065 [0.568807,0.285714,0.346667,0.370968,0.274194,0.858824] unweighted_recall 0.4627425080182035 [0.440367,0.306122,0.44,0.327869,0.387097,0.875] unweighted_recall 0.41738566888073286 [0.440367,0.270833,0.373333,0.229508,0.33871,0.851562] unweighted_recall 0.46107871375856924 [0.412844,0.270833,0.486486,0.344262,0.380952,0.871094] usercpu_time_millis 38842.049894999946 usercpu_time_millis 38812.031299998125 usercpu_time_millis 38469.353397000305 usercpu_time_millis 38441.477378000855 usercpu_time_millis 38220.715254001334 usercpu_time_millis 38234.213818999706 usercpu_time_millis 37864.1848369989 usercpu_time_millis 37875.7546609977 usercpu_time_millis 37864.74626999916 usercpu_time_millis 37769.80893200016 usercpu_time_millis_testing 17.012299998896196 usercpu_time_millis_testing 18.12709599835216 usercpu_time_millis_testing 18.25703199938289 usercpu_time_millis_testing 17.54233599967847 usercpu_time_millis_testing 16.95266100068693 usercpu_time_millis_testing 17.305968000073335 usercpu_time_millis_testing 16.84752999972261 usercpu_time_millis_testing 16.42240699948161 usercpu_time_millis_testing 17.02759399995557 usercpu_time_millis_testing 11.485351002193056 usercpu_time_millis_training 38825.03759500105 usercpu_time_millis_training 38793.90420399977 usercpu_time_millis_training 38451.09636500092 usercpu_time_millis_training 38423.935042001176 usercpu_time_millis_training 38203.76259300065 usercpu_time_millis_training 38216.90785099963 usercpu_time_millis_training 37847.33730699918 usercpu_time_millis_training 37859.33225399822 usercpu_time_millis_training 37847.718675999204 usercpu_time_millis_training 37758.32358099797 wall_clock_time_millis 39626.025438308716 wall_clock_time_millis 39682.663917541504 wall_clock_time_millis 39343.2674407959 wall_clock_time_millis 39191.46227836609 wall_clock_time_millis 38993.63875389099 wall_clock_time_millis 39001.78098678589 wall_clock_time_millis 38464.79392051697 wall_clock_time_millis 38729.61473464966 wall_clock_time_millis 38503.57532501221 wall_clock_time_millis 38531.83388710022 wall_clock_time_millis_testing 17.23027229309082 wall_clock_time_millis_testing 18.149375915527344 wall_clock_time_millis_testing 18.27239990234375 wall_clock_time_millis_testing 17.68183708190918 wall_clock_time_millis_testing 18.615007400512695 wall_clock_time_millis_testing 17.537832260131836 wall_clock_time_millis_testing 16.85190200805664 wall_clock_time_millis_testing 16.42751693725586 wall_clock_time_millis_testing 17.165422439575195 wall_clock_time_millis_testing 11.489152908325195 wall_clock_time_millis_training 39608.795166015625 wall_clock_time_millis_training 39664.51454162598 wall_clock_time_millis_training 39324.995040893555 wall_clock_time_millis_training 39173.78044128418 wall_clock_time_millis_training 38975.02374649048 wall_clock_time_millis_training 38984.24315452576 wall_clock_time_millis_training 38447.94201850891 wall_clock_time_millis_training 38713.1872177124 wall_clock_time_millis_training 38486.40990257263 wall_clock_time_millis_training 38520.344734191895 weighted_recall 0.5898692810457516 [0.458716,0.208333,0.378378,0.370968,0.365079,0.886719] weighted_recall 0.5816993464052288 [0.486239,0.1875,0.386667,0.403226,0.349206,0.854902] weighted_recall 0.5522875816993464 [0.333333,0.204082,0.453333,0.258065,0.349206,0.862745] weighted_recall 0.6013071895424836 [0.422018,0.326531,0.56,0.258065,0.370968,0.882353] weighted_recall 0.5784313725490197 [0.40367,0.367347,0.373333,0.370968,0.354839,0.858824] weighted_recall 0.6078431372549019 [0.486239,0.285714,0.48,0.322581,0.370968,0.886275] weighted_recall 0.5898692810457516 [0.568807,0.285714,0.346667,0.370968,0.274194,0.858824] weighted_recall 0.5947712418300654 [0.440367,0.306122,0.44,0.327869,0.387097,0.875] weighted_recall 0.5597381342062193 [0.440367,0.270833,0.373333,0.229508,0.33871,0.851562] weighted_recall 0.5924713584288053 [0.412844,0.270833,0.486486,0.344262,0.380952,0.871094]