10585081 28997 Marc Boel 9967 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) 8301363 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 0.7687561352108756 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 918 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 196 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 4 19040 random_state 35877 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3612945346703889 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1504 steel-plates-fault https://www.openml.org/data/download/1592296/php9xWOpn -1 22096430 description https://api.openml.org/data/download/22096430/description.xml -1 22096431 predictions https://api.openml.org/data/download/22096431/predictions.arff area_under_roc_curve 0.9489584749298072 [0.948958,0.948958] average_cost 0 f_measure 0.8857280792873083 [0.910907,0.838289] kappa 0.7492746311175575 kb_relative_information_score 0.6274832000825122 mean_absolute_error 0.17718533225758964 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.8851107676455435 [0.899054,0.858841] number_of_instances 1941 [1268,673] precision 0.8868853896416279 [0.923077,0.818697] predictive_accuracy 0.8851107676455436 prior_entropy 0.9311124141243181 relative_absolute_error 0.3910823022007021 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.2902422994129979 root_relative_squared_error 0.6098444259742589 total_cost 0 unweighted_recall 0.8789473190807204 [0.899054,0.858841] area_under_roc_curve 0.9610930986567855 [0.961093,0.961093] area_under_roc_curve 0.9641555999529909 [0.964156,0.964156] area_under_roc_curve 0.9474673874720884 [0.947467,0.947467] area_under_roc_curve 0.941708778939946 [0.941709,0.941709] area_under_roc_curve 0.9318368785991304 [0.931837,0.931837] area_under_roc_curve 0.9118580326712892 [0.911858,0.911858] area_under_roc_curve 0.9482900458338229 [0.94829,0.94829] area_under_roc_curve 0.9578093783053236 [0.957809,0.957809] area_under_roc_curve 0.9669701213818861 [0.96697,0.96697] area_under_roc_curve 0.9610177404295052 [0.961018,0.961018] 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 0.9079949036470776 [0.928571,0.869565] f_measure 0.918507946514052 [0.934959,0.887324] f_measure 0.8812300612051659 [0.909804,0.827068] f_measure 0.8748166137985726 [0.907692,0.8125] f_measure 0.866849544300015 [0.896,0.811594] f_measure 0.8064563729708737 [0.845528,0.732394] f_measure 0.8919395659870784 [0.916996,0.844444] f_measure 0.8777619197710781 [0.902439,0.830986] f_measure 0.9075177050649932 [0.928,0.869565] f_measure 0.9234682842930266 [0.938776,0.895105] kappa 0.7981598619896492 kappa 0.8226082980912103 kappa 0.7368793489798324 kappa 0.7204946572217553 kappa 0.7077297485224244 kappa 0.5786947079666248 kappa 0.7614474762852794 kappa 0.7339124471368156 kappa 0.7975886853698122 kappa 0.8341124159160872 kb_relative_information_score 0.6612381497295325 kb_relative_information_score 0.6812319449284675 kb_relative_information_score 0.5918161433774363 kb_relative_information_score 0.6005883002515251 kb_relative_information_score 0.6181109765208938 kb_relative_information_score 0.48156379470080024 kb_relative_information_score 0.608535086712786 kb_relative_information_score 0.6597344711690576 kb_relative_information_score 0.6903332144916224 kb_relative_information_score 0.6808062151364426 mean_absolute_error 0.16368054416168806 mean_absolute_error 0.15320935020547696 mean_absolute_error 0.19107036291925839 mean_absolute_error 0.18977117501608642 mean_absolute_error 0.17653936605396778 mean_absolute_error 0.24172863144331536 mean_absolute_error 0.18798193857215603 mean_absolute_error 0.16100676784027407 mean_absolute_error 0.1509438151850531 mean_absolute_error 0.15599098348839233 mean_prior_absolute_error 0.4536732781714767 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.45422372672718864 mean_prior_absolute_error 0.45422372672718864 number_of_instances 195 [127,68] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [126,68] number_of_instances 194 [126,68] precision 0.908501098901099 [0.936,0.857143] precision 0.9227375898813134 [0.966387,0.84] precision 0.881067439862543 [0.90625,0.833333] precision 0.8752136382870307 [0.887218,0.852459] precision 0.8684914785840178 [0.910569,0.788732] precision 0.8115718039793238 [0.87395,0.693333] precision 0.8921773176624601 [0.920635,0.838235] precision 0.8823136677351352 [0.932773,0.786667] precision 0.9080241341631431 [0.935484,0.857143] precision 0.9267596523145342 [0.966387,0.853333] predictive_accuracy 0.9076923076923077 predictive_accuracy 0.9175257731958762 predictive_accuracy 0.8814432989690723 predictive_accuracy 0.8762886597938144 predictive_accuracy 0.865979381443299 predictive_accuracy 0.8041237113402062 predictive_accuracy 0.8917525773195877 predictive_accuracy 0.8762886597938144 predictive_accuracy 0.9072164948453608 predictive_accuracy 0.9226804123711341 prior_entropy 0.932928534004902 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9345694345320188 prior_entropy 0.9345694345320188 relative_absolute_error 0.360789475680384 relative_absolute_error 0.3384755621239643 relative_absolute_error 0.4221194620797622 relative_absolute_error 0.4192492498163396 relative_absolute_error 0.3900170654205211 relative_absolute_error 0.5340355161059085 relative_absolute_error 0.4152964048344909 relative_absolute_error 0.3557018953308714 relative_absolute_error 0.3323116039592346 relative_absolute_error 0.34342323905523786 root_mean_prior_squared_error 0.4765680392655914 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.4771452028525092 root_mean_prior_squared_error 0.4771452028525092 root_mean_squared_error 0.26956658212801254 root_mean_squared_error 0.2675686845288672 root_mean_squared_error 0.2994688900352913 root_mean_squared_error 0.30604689728808715 root_mean_squared_error 0.315484434717071 root_mean_squared_error 0.3392190872291076 root_mean_squared_error 0.29302471675091896 root_mean_squared_error 0.27884153921547455 root_mean_squared_error 0.2598695146604531 root_mean_squared_error 0.26289133166048395 root_relative_squared_error 0.5656413353766325 root_relative_squared_error 0.5627241018336744 root_relative_squared_error 0.6298134718902645 root_relative_squared_error 0.6436476888118099 root_relative_squared_error 0.6634957879367046 root_relative_squared_error 0.7134121712410042 root_relative_squared_error 0.6162607213884853 root_relative_squared_error 0.5864320594363821 root_relative_squared_error 0.5446340298652895 root_relative_squared_error 0.5509671481319419 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 0.9018063918480779 [0.92126,0.882353] unweighted_recall 0.9229051592431543 [0.905512,0.940299] unweighted_recall 0.8671406745798567 [0.913386,0.820896] unweighted_recall 0.8526266306263957 [0.929134,0.776119] unweighted_recall 0.8588553296509578 [0.88189,0.835821] unweighted_recall 0.7975085203901751 [0.818898,0.776119] unweighted_recall 0.8820660477141851 [0.913386,0.850746] unweighted_recall 0.8773063814784345 [0.874016,0.880597] unweighted_recall 0.9014939309056955 [0.920635,0.882353] unweighted_recall 0.926937441643324 [0.912698,0.941176] usercpu_time_millis 185.83098499948392 usercpu_time_millis 250.51351399997657 usercpu_time_millis 147.19421099835017 usercpu_time_millis 159.26486200078216 usercpu_time_millis 258.9819200002239 usercpu_time_millis 114.83462300202518 usercpu_time_millis 142.97120999981416 usercpu_time_millis 275.7855949985242 usercpu_time_millis 216.86158199918282 usercpu_time_millis 143.84566799890308 usercpu_time_millis_testing 6.710686000587884 usercpu_time_millis_testing 7.315656999708153 usercpu_time_millis_testing 6.2461099987558555 usercpu_time_millis_testing 6.289148999712779 usercpu_time_millis_testing 6.7678920004254906 usercpu_time_millis_testing 6.560928000908461 usercpu_time_millis_testing 6.367637000948889 usercpu_time_millis_testing 6.73732199902588 usercpu_time_millis_testing 7.158319000154734 usercpu_time_millis_testing 4.286733999833814 usercpu_time_millis_training 179.12029899889603 usercpu_time_millis_training 243.1978570002684 usercpu_time_millis_training 140.94810099959432 usercpu_time_millis_training 152.97571300106938 usercpu_time_millis_training 252.21402799979842 usercpu_time_millis_training 108.27369500111672 usercpu_time_millis_training 136.60357299886527 usercpu_time_millis_training 269.0482729994983 usercpu_time_millis_training 209.70326299902808 usercpu_time_millis_training 139.55893399906927 wall_clock_time_millis 201.26819610595703 wall_clock_time_millis 276.1051654815674 wall_clock_time_millis 152.82583236694336 wall_clock_time_millis 166.8257713317871 wall_clock_time_millis 265.58947563171387 wall_clock_time_millis 117.42091178894043 wall_clock_time_millis 145.3683376312256 wall_clock_time_millis 278.4426212310791 wall_clock_time_millis 221.6486930847168 wall_clock_time_millis 154.1769504547119 wall_clock_time_millis_testing 6.721258163452148 wall_clock_time_millis_testing 19.13285255432129 wall_clock_time_millis_testing 6.251811981201172 wall_clock_time_millis_testing 6.295204162597656 wall_clock_time_millis_testing 6.773471832275391 wall_clock_time_millis_testing 6.568431854248047 wall_clock_time_millis_testing 6.374597549438477 wall_clock_time_millis_testing 6.744146347045898 wall_clock_time_millis_testing 7.1811676025390625 wall_clock_time_millis_testing 4.3125152587890625 wall_clock_time_millis_training 194.54693794250488 wall_clock_time_millis_training 256.9723129272461 wall_clock_time_millis_training 146.5740203857422 wall_clock_time_millis_training 160.53056716918945 wall_clock_time_millis_training 258.8160037994385 wall_clock_time_millis_training 110.85247993469238 wall_clock_time_millis_training 138.9937400817871 wall_clock_time_millis_training 271.6984748840332 wall_clock_time_millis_training 214.46752548217773 wall_clock_time_millis_training 149.86443519592285 weighted_recall 0.9076923076923077 [0.92126,0.882353] weighted_recall 0.9175257731958762 [0.905512,0.940299] weighted_recall 0.8814432989690721 [0.913386,0.820896] weighted_recall 0.8762886597938144 [0.929134,0.776119] weighted_recall 0.865979381443299 [0.88189,0.835821] weighted_recall 0.8041237113402062 [0.818898,0.776119] weighted_recall 0.8917525773195877 [0.913386,0.850746] weighted_recall 0.8762886597938144 [0.874016,0.880597] weighted_recall 0.9072164948453608 [0.920635,0.882353] weighted_recall 0.9226804123711341 [0.912698,0.941176]