10585023 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) 8301305 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 0.5190424554531116 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1670 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 4 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 13 19040 random_state 12496 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.09507562944592983 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 22096314 description https://api.openml.org/data/download/22096314/description.xml -1 22096315 predictions https://api.openml.org/data/download/22096315/predictions.arff area_under_roc_curve 1 [1,1] average_cost 0 f_measure 1 [1,1] kappa 1 kb_relative_information_score 0.9999918325382369 mean_absolute_error 0.000005271246197310243 mean_prior_absolute_error 0.45306405137877787 weighted_recall 1 [1,1] number_of_instances 1941 [1268,673] precision 1 [1,1] predictive_accuracy 1 prior_entropy 0.9311124141243181 relative_absolute_error 0.00001163466000285971 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.000005800273245729765 root_relative_squared_error 0.000012187280472866566 total_cost 0 unweighted_recall 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] 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 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9999918757575645 kb_relative_information_score 0.9999918636931985 kb_relative_information_score 0.99999207089177 kb_relative_information_score 0.9999921141550969 kb_relative_information_score 0.9999918280807448 kb_relative_information_score 0.9999910358280287 kb_relative_information_score 0.9999919795587574 kb_relative_information_score 0.9999919672876755 kb_relative_information_score 0.9999918827236443 kb_relative_information_score 0.9999917074193432 mean_absolute_error 0.0000052535794789397274 mean_absolute_error 0.000005244098502380834 mean_absolute_error 0.000005110552968393298 mean_absolute_error 0.000005082666848570422 mean_absolute_error 0.00000526705147233287 mean_absolute_error 0.00000577768120902547 mean_absolute_error 0.000005169419814880232 mean_absolute_error 0.000005177328641829542 mean_absolute_error 0.000005258305809870049 mean_absolute_error 0.0000053718682924387994 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 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 0.000011580094600489147 relative_absolute_error 0.000011585449491471958 relative_absolute_error 0.000011290415933631304 relative_absolute_error 0.000011228808922898312 relative_absolute_error 0.000011636158011523186 relative_absolute_error 0.00001276425944222856 relative_absolute_error 0.000011420466670929047 relative_absolute_error 0.000011437939133568035 relative_absolute_error 0.00001157646661868071 relative_absolute_error 0.00001182648104084003 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 0.000005830410617809276 root_mean_squared_error 0.0000056661087776178655 root_mean_squared_error 0.000005542873562236045 root_mean_squared_error 0.000005806644185430809 root_mean_squared_error 0.000005738827986983367 root_mean_squared_error 0.000006227609158980062 root_mean_squared_error 0.000005588392958212314 root_mean_squared_error 0.000005639084674462378 root_mean_squared_error 0.000006078783099127467 root_mean_squared_error 0.000005847441448395749 root_relative_squared_error 0.000012234162044928882 root_relative_squared_error 0.000011916401870387488 root_relative_squared_error 0.000011657225704043055 root_relative_squared_error 0.000012211962097387205 root_relative_squared_error 0.000012069337748695928 root_relative_squared_error 0.000013097294164781596 root_relative_squared_error 0.000011752957614008003 root_relative_squared_error 0.000011859567438500182 root_relative_squared_error 0.000012739901947639376 root_relative_squared_error 0.000012255056560221264 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 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 806.9470500013267 usercpu_time_millis 817.4012780000339 usercpu_time_millis 836.3040939984785 usercpu_time_millis 819.3212109981687 usercpu_time_millis 841.0943489998317 usercpu_time_millis 825.9809179999138 usercpu_time_millis 814.3759809991025 usercpu_time_millis 824.7536109993234 usercpu_time_millis 820.464638998601 usercpu_time_millis 805.3978859989002 usercpu_time_millis_testing 6.44702200042957 usercpu_time_millis_testing 7.0710079999116715 usercpu_time_millis_testing 6.815889999415958 usercpu_time_millis_testing 6.91053399896191 usercpu_time_millis_testing 6.887953999466845 usercpu_time_millis_testing 6.383670999639435 usercpu_time_millis_testing 6.906540998897981 usercpu_time_millis_testing 6.801274999816087 usercpu_time_millis_testing 6.42877199970826 usercpu_time_millis_testing 4.51888899988262 usercpu_time_millis_training 800.5000280008971 usercpu_time_millis_training 810.3302700001223 usercpu_time_millis_training 829.4882039990625 usercpu_time_millis_training 812.4106769992068 usercpu_time_millis_training 834.2063950003649 usercpu_time_millis_training 819.5972470002744 usercpu_time_millis_training 807.4694400002045 usercpu_time_millis_training 817.9523359995073 usercpu_time_millis_training 814.0358669988927 usercpu_time_millis_training 800.8789969990175 wall_clock_time_millis 828.0982971191406 wall_clock_time_millis 839.8685455322266 wall_clock_time_millis 849.7533798217773 wall_clock_time_millis 835.6606960296631 wall_clock_time_millis 875.6859302520752 wall_clock_time_millis 845.1097011566162 wall_clock_time_millis 833.3914279937744 wall_clock_time_millis 843.1284427642822 wall_clock_time_millis 830.8265209197998 wall_clock_time_millis 829.8156261444092 wall_clock_time_millis_testing 6.66356086730957 wall_clock_time_millis_testing 14.65463638305664 wall_clock_time_millis_testing 6.899356842041016 wall_clock_time_millis_testing 9.183645248413086 wall_clock_time_millis_testing 6.893396377563477 wall_clock_time_millis_testing 6.389141082763672 wall_clock_time_millis_testing 6.912946701049805 wall_clock_time_millis_testing 6.810903549194336 wall_clock_time_millis_testing 6.43467903137207 wall_clock_time_millis_testing 4.523754119873047 wall_clock_time_millis_training 821.434736251831 wall_clock_time_millis_training 825.2139091491699 wall_clock_time_millis_training 842.8540229797363 wall_clock_time_millis_training 826.47705078125 wall_clock_time_millis_training 868.7925338745117 wall_clock_time_millis_training 838.7205600738525 wall_clock_time_millis_training 826.4784812927246 wall_clock_time_millis_training 836.3175392150879 wall_clock_time_millis_training 824.3918418884277 wall_clock_time_millis_training 825.2918720245361 weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1]