10581228 28997 Marc Boel 10093 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) 8297510 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 0.6640392034780542 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1170 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 32 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 6 19040 random_state 43827 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1964301624726094 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1462 banknote-authentication https://www.openml.org/data/download/1586223/php50jXam -1 22088723 description https://api.openml.org/data/download/22088723/description.xml -1 22088724 predictions https://api.openml.org/data/download/22088724/predictions.arff area_under_roc_curve 0.999946215739426 [0.999946,0.999946] average_cost 0 f_measure 0.9963565608561893 [0.996713,0.995912] kappa 0.9926244172644544 kb_relative_information_score 0.9915752976313918 mean_absolute_error 0.004472772920125667 mean_prior_absolute_error 0.49387203415364794 weighted_recall 0.9963556851311953 [0.994751,0.998361] number_of_instances 1372 [762,610] precision 0.9963670723668178 [0.998682,0.993475] predictive_accuracy 0.9963556851311953 prior_entropy 0.9911281447384036 relative_absolute_error 0.009056542202861699 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.04841525712557695 root_relative_squared_error 0.09743027876444765 total_cost 0 unweighted_recall 0.9965556559528419 [0.994751,0.998361] 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 0.9997842968075926 [0.999784,0.999784] 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 0.9855287763588493 [0.986842,0.983871] f_measure 1 [1,1] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 0.9926944214777463 [0.993464,0.991736] f_measure 1 [1,1] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] kappa 0.9707192870782941 kappa 1 kappa 0.9852481964035749 kappa 0.9852003888948904 kappa 1 kappa 0.9852481964035749 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9761499084357724 kb_relative_information_score 0.9935175157897455 kb_relative_information_score 0.9893322412726322 kb_relative_information_score 0.9829918045072068 kb_relative_information_score 0.9976588000107747 kb_relative_information_score 0.9890449634211497 kb_relative_information_score 0.9972833135786433 kb_relative_information_score 0.998553853322787 kb_relative_information_score 0.9965087170218351 kb_relative_information_score 0.9947961084642347 mean_absolute_error 0.011398287495425912 mean_absolute_error 0.0036194562120108837 mean_absolute_error 0.005551914236669169 mean_absolute_error 0.008721717457854064 mean_absolute_error 0.0015823181245495303 mean_absolute_error 0.005453286451304713 mean_absolute_error 0.0016828216650638657 mean_absolute_error 0.0009738984864594345 mean_absolute_error 0.002320999043578739 mean_absolute_error 0.003378707416171111 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 number_of_instances 138 [77,61] number_of_instances 138 [77,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] precision 0.9859673337934206 [1,0.968254] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] precision 0.992795525642241 [0.987013,1] precision 1 [1,1] precision 0.9928184600894748 [1,0.983871] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 0.9855072463768115 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 0.9927007299270073 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 0.9903020513891087 prior_entropy 0.9903020513891087 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 relative_absolute_error 0.02309276726768556 relative_absolute_error 0.007332966462996107 relative_absolute_error 0.011239970660924812 relative_absolute_error 0.01765730595974928 relative_absolute_error 0.003203437325944069 relative_absolute_error 0.011040296572566855 relative_absolute_error 0.00340690892124341 relative_absolute_error 0.001971678586499645 relative_absolute_error 0.0046989128509144365 relative_absolute_error 0.006840266367730517 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_squared_error 0.09641365442206794 root_mean_squared_error 0.03464113786509712 root_mean_squared_error 0.04651631587673323 root_mean_squared_error 0.08513087491345722 root_mean_squared_error 0.007158937356959337 root_mean_squared_error 0.05095519402602831 root_mean_squared_error 0.01777469587290451 root_mean_squared_error 0.006150429467489965 root_mean_squared_error 0.012003629261358457 root_mean_squared_error 0.018595938429479247 root_relative_squared_error 0.19413378877106566 root_relative_squared_error 0.06975169006302963 root_relative_squared_error 0.0935952654732329 root_relative_squared_error 0.17129144231043905 root_relative_squared_error 0.014404464966796711 root_relative_squared_error 0.10252671180461383 root_relative_squared_error 0.03576438390647778 root_relative_squared_error 0.012375250875619104 root_relative_squared_error 0.02415244729045837 root_relative_squared_error 0.037416802281660735 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 0.987012987012987 [0.974026,1] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 0.9918032786885246 [1,0.983607] unweighted_recall 1 [1,1] unweighted_recall 0.993421052631579 [0.986842,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 131.93918199999644 usercpu_time_millis 95.09730099999558 usercpu_time_millis 92.67954700000303 usercpu_time_millis 93.85787499998344 usercpu_time_millis 89.10430800000313 usercpu_time_millis 122.45699599999682 usercpu_time_millis 109.25271600001452 usercpu_time_millis 88.04861699999833 usercpu_time_millis 80.58313799999439 usercpu_time_millis 71.9323340000102 usercpu_time_millis_testing 5.650959999996985 usercpu_time_millis_testing 5.56202599999267 usercpu_time_millis_testing 5.619955000000232 usercpu_time_millis_testing 5.361463999989269 usercpu_time_millis_testing 5.525824999992324 usercpu_time_millis_testing 5.362387999994667 usercpu_time_millis_testing 5.978912000003334 usercpu_time_millis_testing 5.671692000007056 usercpu_time_millis_testing 5.275169000000801 usercpu_time_millis_testing 3.5668600000065 usercpu_time_millis_training 126.28822199999945 usercpu_time_millis_training 89.53527500000291 usercpu_time_millis_training 87.0595920000028 usercpu_time_millis_training 88.49641099999417 usercpu_time_millis_training 83.5784830000108 usercpu_time_millis_training 117.09460800000215 usercpu_time_millis_training 103.27380400001118 usercpu_time_millis_training 82.37692499999127 usercpu_time_millis_training 75.30796899999359 usercpu_time_millis_training 68.3654740000037 wall_clock_time_millis 137.6478672027588 wall_clock_time_millis 95.29542922973633 wall_clock_time_millis 94.90227699279785 wall_clock_time_millis 99.41744804382324 wall_clock_time_millis 94.6347713470459 wall_clock_time_millis 136.1558437347412 wall_clock_time_millis 112.21528053283691 wall_clock_time_millis 95.2296257019043 wall_clock_time_millis 80.81889152526855 wall_clock_time_millis 72.98421859741211 wall_clock_time_millis_testing 5.656719207763672 wall_clock_time_millis_testing 5.567789077758789 wall_clock_time_millis_testing 5.626678466796875 wall_clock_time_millis_testing 5.367040634155273 wall_clock_time_millis_testing 5.583763122558594 wall_clock_time_millis_testing 5.367517471313477 wall_clock_time_millis_testing 7.028341293334961 wall_clock_time_millis_testing 5.677223205566406 wall_clock_time_millis_testing 5.280256271362305 wall_clock_time_millis_testing 3.571033477783203 wall_clock_time_millis_training 131.99114799499512 wall_clock_time_millis_training 89.72764015197754 wall_clock_time_millis_training 89.27559852600098 wall_clock_time_millis_training 94.05040740966797 wall_clock_time_millis_training 89.0510082244873 wall_clock_time_millis_training 130.78832626342773 wall_clock_time_millis_training 105.18693923950195 wall_clock_time_millis_training 89.55240249633789 wall_clock_time_millis_training 75.53863525390625 wall_clock_time_millis_training 69.4131851196289 weighted_recall 0.9855072463768116 [0.974026,1] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 0.9927007299270073 [1,0.983607] weighted_recall 1 [1,1] weighted_recall 0.9927007299270073 [0.986842,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1]