10586523 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) 8302805 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 0.1494979687743398 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 154 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 119 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 7977 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.11601887794896137 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 22099316 description https://api.openml.org/data/download/22099316/description.xml -1 22099317 predictions https://api.openml.org/data/download/22099317/predictions.arff area_under_roc_curve 0.8374690823333202 [0.785624,0.80334,0.82918,0.793419,0.813203,0.885068] average_cost 0 f_measure 0.5577396788339565 [0.458846,0.320106,0.450826,0.360624,0.383275,0.766684] kappa 0.4140318473996159 kb_relative_information_score 0.3494326757469918 mean_absolute_error 0.18750909577898117 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5799280810722458 [0.445363,0.248971,0.419786,0.299838,0.352564,0.870399] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5537628571222377 [0.473171,0.448148,0.486822,0.452323,0.419847,0.685054] predictive_accuracy 0.5799280810722458 prior_entropy 2.3000072984859514 relative_absolute_error 0.7477495446878656 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.30408009032031097 root_relative_squared_error 0.8588015343532043 total_cost 0 unweighted_recall 0.4394869015506393 [0.445363,0.248971,0.419786,0.299838,0.352564,0.870399] area_under_roc_curve 0.8448249004267061 [0.798639,0.791482,0.823244,0.799707,0.845072,0.891596] area_under_roc_curve 0.8439108638442621 [0.802752,0.804965,0.871757,0.808607,0.799549,0.880189] area_under_roc_curve 0.8341924164692583 [0.764357,0.799,0.81897,0.797669,0.804421,0.891245] area_under_roc_curve 0.8444335127996678 [0.787623,0.826386,0.855469,0.797258,0.800953,0.890981] area_under_roc_curve 0.8210492248931283 [0.7513,0.788089,0.791819,0.784721,0.833211,0.87167] area_under_roc_curve 0.8370120188544462 [0.775932,0.755881,0.84843,0.796774,0.820176,0.889229] area_under_roc_curve 0.8302647912058881 [0.814179,0.804419,0.804457,0.784795,0.80827,0.866101] area_under_roc_curve 0.8450066192141665 [0.760182,0.841791,0.851024,0.78815,0.832918,0.896451] area_under_roc_curve 0.8398017410158839 [0.792856,0.842177,0.816493,0.805142,0.782052,0.888419] area_under_roc_curve 0.8373103783095392 [0.814595,0.773868,0.818599,0.775857,0.809929,0.885668] 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 0.564145499315233 [0.478469,0.264706,0.405797,0.37037,0.453782,0.776632] f_measure 0.5632783771548994 [0.493274,0.268657,0.460432,0.423077,0.353982,0.764706] f_measure 0.5210477581483829 [0.374384,0.2,0.467153,0.340426,0.344262,0.748299] f_measure 0.5815641051027182 [0.475728,0.415584,0.562092,0.333333,0.407407,0.767123] f_measure 0.5305538307772241 [0.386473,0.390244,0.378788,0.336634,0.353982,0.75382] f_measure 0.5878793841581679 [0.472222,0.373333,0.521127,0.37037,0.418182,0.792321] f_measure 0.5563467050370404 [0.529148,0.307692,0.381679,0.384615,0.424779,0.74087] f_measure 0.5629449331447748 [0.453704,0.351351,0.437956,0.361905,0.352941,0.78534] f_measure 0.5509295189090544 [0.471698,0.329114,0.449275,0.350515,0.303571,0.763699] f_measure 0.5540168065044093 [0.442211,0.289474,0.424658,0.330275,0.420168,0.774869] kappa 0.42477770483976846 kappa 0.4228717753748784 kappa 0.36626305145065974 kappa 0.4471544715447153 kappa 0.37705261582216903 kappa 0.45532217871128505 kappa 0.4110377474166855 kappa 0.4212197184352238 kappa 0.4041640255497587 kappa 0.40994907718650536 kb_relative_information_score 0.3494413278843505 kb_relative_information_score 0.35446564539104114 kb_relative_information_score 0.33895288629707154 kb_relative_information_score 0.35544645157538435 kb_relative_information_score 0.3462061331806805 kb_relative_information_score 0.35480374220610267 kb_relative_information_score 0.34889892595352023 kb_relative_information_score 0.3580543338392735 kb_relative_information_score 0.34193880936465393 kb_relative_information_score 0.3460950917565663 mean_absolute_error 0.187706396225191 mean_absolute_error 0.1866588399390697 mean_absolute_error 0.18779047844526364 mean_absolute_error 0.18681634274631884 mean_absolute_error 0.18786559621414325 mean_absolute_error 0.18791872062450565 mean_absolute_error 0.18840059411378512 mean_absolute_error 0.18582989291080756 mean_absolute_error 0.18788238044221015 mean_absolute_error 0.18822349338712957 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 0.5609132587862209 [0.5,0.45,0.4375,0.434783,0.482143,0.693252] precision 0.5636837191016758 [0.482456,0.473684,0.5,0.52381,0.4,0.684211] precision 0.5170703202478844 [0.4,0.258065,0.516129,0.5,0.355932,0.660661] precision 0.5830942406766854 [0.505155,0.571429,0.551282,0.470588,0.478261,0.680851] precision 0.5260988447679041 [0.408163,0.484848,0.438596,0.435897,0.392157,0.664671] precision 0.5857009049341017 [0.476636,0.538462,0.552239,0.434783,0.479167,0.713836] precision 0.5532760469606334 [0.517544,0.413793,0.446429,0.47619,0.470588,0.665625] precision 0.5597593052560869 [0.457944,0.52,0.483871,0.431818,0.368421,0.709779] precision 0.5464496752298038 [0.485437,0.419355,0.492063,0.472222,0.34,0.679878] precision 0.5471160392061124 [0.488889,0.392857,0.430556,0.375,0.446429,0.700315] predictive_accuracy 0.5882352941176471 predictive_accuracy 0.5866013071895425 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.6045751633986928 predictive_accuracy 0.5555555555555556 predictive_accuracy 0.6078431372549019 predictive_accuracy 0.576797385620915 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.574468085106383 predictive_accuracy 0.574468085106383 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 0.7488039403183319 relative_absolute_error 0.7441481733414098 relative_absolute_error 0.7484996146772965 relative_absolute_error 0.7447396451942407 relative_absolute_error 0.7489224733336798 relative_absolute_error 0.7491342527419629 relative_absolute_error 0.7510552318498871 relative_absolute_error 0.7413162963454145 relative_absolute_error 0.7497789919988987 relative_absolute_error 0.7511071545104009 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 0.3045720183004731 root_mean_squared_error 0.30184874976626946 root_mean_squared_error 0.3069779243545755 root_mean_squared_error 0.30189797622166653 root_mean_squared_error 0.30717449963001797 root_mean_squared_error 0.3026659138714503 root_mean_squared_error 0.3059822082955546 root_mean_squared_error 0.3012548521058561 root_mean_squared_error 0.3039002730242491 root_mean_squared_error 0.30445819445179145 root_relative_squared_error 0.8604984711702618 root_relative_squared_error 0.8522583242377522 root_relative_squared_error 0.8665551290454826 root_relative_squared_error 0.8523556152440908 root_relative_squared_error 0.867252947158542 root_relative_squared_error 0.8545237515666408 root_relative_squared_error 0.8638867231557995 root_relative_squared_error 0.8511244631136722 root_relative_squared_error 0.8589135590554009 root_relative_squared_error 0.8604524508734461 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 0.4430930914068954 [0.458716,0.1875,0.378378,0.322581,0.428571,0.882812] unweighted_recall 0.4429532527390621 [0.504587,0.1875,0.426667,0.354839,0.31746,0.866667] unweighted_recall 0.3993211286904248 [0.351852,0.163265,0.426667,0.258065,0.333333,0.862745] unweighted_recall 0.4734566380562287 [0.449541,0.326531,0.573333,0.258065,0.354839,0.878431] unweighted_recall 0.41569980858082606 [0.366972,0.326531,0.333333,0.274194,0.322581,0.870588] unweighted_recall 0.4717803321387744 [0.46789,0.285714,0.493333,0.322581,0.370968,0.890196] unweighted_recall 0.4440812055314382 [0.541284,0.244898,0.333333,0.322581,0.387097,0.835294] unweighted_recall 0.44065645735134495 [0.449541,0.265306,0.4,0.311475,0.33871,0.878906] unweighted_recall 0.42780968099570044 [0.458716,0.270833,0.413333,0.278689,0.274194,0.871094] unweighted_recall 0.43514169573245653 [0.40367,0.229167,0.418919,0.295082,0.396825,0.867188] usercpu_time_millis 35431.87134600157 usercpu_time_millis 35350.55806599485 usercpu_time_millis 35180.184056000144 usercpu_time_millis 35226.58985000089 usercpu_time_millis 35436.554521998914 usercpu_time_millis 35423.270774997945 usercpu_time_millis 35136.05360699876 usercpu_time_millis 35079.58477599823 usercpu_time_millis 35000.87683800302 usercpu_time_millis 35033.46482100096 usercpu_time_millis_testing 16.896261000511004 usercpu_time_millis_testing 18.243225997139234 usercpu_time_millis_testing 18.270237000251655 usercpu_time_millis_testing 17.666085001110332 usercpu_time_millis_testing 16.85036900016712 usercpu_time_millis_testing 16.614224998193095 usercpu_time_millis_testing 16.63767799982452 usercpu_time_millis_testing 17.4997939975583 usercpu_time_millis_testing 11.088365001342027 usercpu_time_millis_testing 17.11957000225084 usercpu_time_millis_training 35414.97508500106 usercpu_time_millis_training 35332.31483999771 usercpu_time_millis_training 35161.91381899989 usercpu_time_millis_training 35208.92376499978 usercpu_time_millis_training 35419.70415299875 usercpu_time_millis_training 35406.65654999975 usercpu_time_millis_training 35119.41592899893 usercpu_time_millis_training 35062.08498200067 usercpu_time_millis_training 34989.78847300168 usercpu_time_millis_training 35016.34525099871 wall_clock_time_millis 36092.53406524658 wall_clock_time_millis 36092.24843978882 wall_clock_time_millis 35870.12195587158 wall_clock_time_millis 35842.55385398865 wall_clock_time_millis 36143.52464675903 wall_clock_time_millis 36115.389347076416 wall_clock_time_millis 35787.83464431763 wall_clock_time_millis 35822.25680351257 wall_clock_time_millis 35728.346824645996 wall_clock_time_millis 35632.328271865845 wall_clock_time_millis_testing 16.90053939819336 wall_clock_time_millis_testing 18.247127532958984 wall_clock_time_millis_testing 18.274307250976562 wall_clock_time_millis_testing 17.670392990112305 wall_clock_time_millis_testing 18.09978485107422 wall_clock_time_millis_testing 16.63804054260254 wall_clock_time_millis_testing 18.273115158081055 wall_clock_time_millis_testing 17.543792724609375 wall_clock_time_millis_testing 11.0931396484375 wall_clock_time_millis_testing 17.233848571777344 wall_clock_time_millis_training 36075.63352584839 wall_clock_time_millis_training 36074.00131225586 wall_clock_time_millis_training 35851.847648620605 wall_clock_time_millis_training 35824.883460998535 wall_clock_time_millis_training 36125.42486190796 wall_clock_time_millis_training 36098.75130653381 wall_clock_time_millis_training 35769.561529159546 wall_clock_time_millis_training 35804.713010787964 wall_clock_time_millis_training 35717.25368499756 wall_clock_time_millis_training 35615.09442329407 weighted_recall 0.5882352941176471 [0.458716,0.1875,0.378378,0.322581,0.428571,0.882812] weighted_recall 0.5866013071895425 [0.504587,0.1875,0.426667,0.354839,0.31746,0.866667] weighted_recall 0.5473856209150327 [0.351852,0.163265,0.426667,0.258065,0.333333,0.862745] weighted_recall 0.6045751633986928 [0.449541,0.326531,0.573333,0.258065,0.354839,0.878431] weighted_recall 0.5555555555555556 [0.366972,0.326531,0.333333,0.274194,0.322581,0.870588] weighted_recall 0.6078431372549019 [0.46789,0.285714,0.493333,0.322581,0.370968,0.890196] weighted_recall 0.576797385620915 [0.541284,0.244898,0.333333,0.322581,0.387097,0.835294] weighted_recall 0.5833333333333334 [0.449541,0.265306,0.4,0.311475,0.33871,0.878906] weighted_recall 0.574468085106383 [0.458716,0.270833,0.413333,0.278689,0.274194,0.871094] weighted_recall 0.574468085106383 [0.40367,0.229167,0.418919,0.295082,0.396825,0.867188]