10583978 28997 Marc Boel 9952 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) 8300260 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 0.7417211459587085 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1296 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 7 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 8 19040 random_state 28615 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3844794074997212 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22094224 description https://api.openml.org/data/download/22094224/description.xml -1 22094225 predictions https://api.openml.org/data/download/22094225/predictions.arff area_under_roc_curve 0.9135564132730274 [0.913556,0.913556] average_cost 0 f_measure 0.8478301067388879 [0.894246,0.736093] kappa 0.6304380037237257 kb_relative_information_score 0.5155185749907737 mean_absolute_error 0.19978131482066033 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8490007401924501 [0.903614,0.717528] number_of_instances 5404 [3818,1586] precision 0.8470847494302746 [0.885069,0.755644] predictive_accuracy 0.84900074019245 prior_entropy 0.8731822780289229 relative_absolute_error 0.48170749052271816 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3279845329996107 root_relative_squared_error 0.7202763325209396 total_cost 0 unweighted_recall 0.8105714155487018 [0.903614,0.717528] area_under_roc_curve 0.9094142052751162 [0.909414,0.909414] area_under_roc_curve 0.9232029372057032 [0.923203,0.923203] area_under_roc_curve 0.8984326122032336 [0.898433,0.898433] area_under_roc_curve 0.9145674865817116 [0.914567,0.914567] area_under_roc_curve 0.8925127576380145 [0.892513,0.892513] area_under_roc_curve 0.923835244217642 [0.923835,0.923835] area_under_roc_curve 0.9213499900589833 [0.92135,0.92135] area_under_roc_curve 0.9227251640267746 [0.922725,0.922725] area_under_roc_curve 0.9093250136185806 [0.909325,0.909325] area_under_roc_curve 0.9216064973010448 [0.921606,0.921606] 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 0.8347106731630906 [0.884265,0.715655] f_measure 0.8563386485985115 [0.897368,0.757764] f_measure 0.8371048075178252 [0.888031,0.714754] f_measure 0.8289719522621556 [0.880519,0.705128] f_measure 0.8316866798398945 [0.883721,0.705882] f_measure 0.8627054388042897 [0.903394,0.764331] f_measure 0.8653493438719156 [0.906977,0.764706] f_measure 0.8572742677317842 [0.899346,0.755556] f_measure 0.8311746854270874 [0.886624,0.698305] f_measure 0.872310393681799 [0.912371,0.776316] kappa 0.5999617816402324 kappa 0.6551549424686192 kappa 0.6030680486097639 kappa 0.5857097671011668 kappa 0.5897764872712541 kappa 0.6677309918180003 kappa 0.6718211898170032 kappa 0.6549033928689993 kappa 0.5858752972805293 kappa 0.6889453621346887 kb_relative_information_score 0.4976397836815636 kb_relative_information_score 0.523720518409085 kb_relative_information_score 0.477684366585149 kb_relative_information_score 0.5184356606697595 kb_relative_information_score 0.46814480300159617 kb_relative_information_score 0.5544951181946286 kb_relative_information_score 0.5304037400929232 kb_relative_information_score 0.5396313692176437 kb_relative_information_score 0.5103609880830244 kb_relative_information_score 0.5347988580273016 mean_absolute_error 0.20759091659410692 mean_absolute_error 0.20087002997155837 mean_absolute_error 0.21654436754027878 mean_absolute_error 0.19430978737580676 mean_absolute_error 0.216959419411295 mean_absolute_error 0.18224549252073705 mean_absolute_error 0.1951356760668384 mean_absolute_error 0.18889866700194663 mean_absolute_error 0.20034755977571284 mean_absolute_error 0.19487384335165617 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.8340916798123521 [0.878553,0.727273] precision 0.8569585962620901 [0.902116,0.748466] precision 0.8361387228693309 [0.873418,0.746575] precision 0.8282282023086117 [0.873711,0.718954] precision 0.8306903842618129 [0.872449,0.72973] precision 0.862474774453941 [0.901042,0.769231] precision 0.8647246736532451 [0.895408,0.790541] precision 0.8571477582586662 [0.898172,0.757962] precision 0.8307541415906297 [0.861386,0.757353] precision 0.8719375333430331 [0.896203,0.813793] predictive_accuracy 0.8354898336414048 predictive_accuracy 0.8558225508317929 predictive_accuracy 0.8391866913123844 predictive_accuracy 0.8299445471349353 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.8629629629629629 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8574074074074075 predictive_accuracy 0.8351851851851851 predictive_accuracy 0.874074074074074 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.5003316512382319 relative_absolute_error 0.4841330990240252 relative_absolute_error 0.5219110872254895 relative_absolute_error 0.46832172796642974 relative_absolute_error 0.5235927299801172 relative_absolute_error 0.4398168801079304 relative_absolute_error 0.4709250311675227 relative_absolute_error 0.45587312601374536 relative_absolute_error 0.4826124713249728 relative_absolute_error 0.46942696602756157 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.3349768098543659 root_mean_squared_error 0.3175537040164372 root_mean_squared_error 0.34078387870050925 root_mean_squared_error 0.3352580865569654 root_mean_squared_error 0.34441834711423275 root_mean_squared_error 0.31282776530210543 root_mean_squared_error 0.3161773518518191 root_mean_squared_error 0.3219737919209677 root_mean_squared_error 0.33552642475196137 root_mean_squared_error 0.3184929408179916 root_relative_squared_error 0.735328916196781 root_relative_squared_error 0.6970823476114633 root_relative_squared_error 0.7480763826341476 root_relative_squared_error 0.735946364589593 root_relative_squared_error 0.7570399976746082 root_relative_squared_error 0.6876031219042811 root_relative_squared_error 0.6949655955211849 root_relative_squared_error 0.7077063133523805 root_relative_squared_error 0.7361369651216915 root_relative_squared_error 0.6987659080495962 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 0.7972274358721064 [0.890052,0.704403] unweighted_recall 0.8299828772761698 [0.89267,0.767296] unweighted_recall 0.7943379762257565 [0.903141,0.685535] unweighted_recall 0.7896292271724455 [0.887435,0.691824] unweighted_recall 0.7894161309563258 [0.895288,0.683544] unweighted_recall 0.8326264165948705 [0.905759,0.759494] unweighted_recall 0.8296772483265955 [0.918848,0.740506] unweighted_recall 0.8268440585857246 [0.900524,0.753165] unweighted_recall 0.7805922844550092 [0.913386,0.647799] unweighted_recall 0.8356361115237954 [0.929134,0.742138] usercpu_time_millis 199.99776500003463 usercpu_time_millis 274.895195000056 usercpu_time_millis 174.2863650000004 usercpu_time_millis 520.7971419999922 usercpu_time_millis 189.62557700001526 usercpu_time_millis 414.41460000004327 usercpu_time_millis 200.56464499998583 usercpu_time_millis 347.63993799998616 usercpu_time_millis 297.3299600000132 usercpu_time_millis 157.6983280000377 usercpu_time_millis_testing 5.434288000003562 usercpu_time_millis_testing 5.654222000032405 usercpu_time_millis_testing 5.491033999987849 usercpu_time_millis_testing 6.900372000018251 usercpu_time_millis_testing 5.7700099999919985 usercpu_time_millis_testing 6.069663000005221 usercpu_time_millis_testing 5.736743999989358 usercpu_time_millis_testing 6.213109999976041 usercpu_time_millis_testing 5.555936999996902 usercpu_time_millis_testing 3.900552000004609 usercpu_time_millis_training 194.56347700003107 usercpu_time_millis_training 269.2409730000236 usercpu_time_millis_training 168.79533100001254 usercpu_time_millis_training 513.8967699999739 usercpu_time_millis_training 183.85556700002326 usercpu_time_millis_training 408.34493700003804 usercpu_time_millis_training 194.82790099999647 usercpu_time_millis_training 341.4268280000101 usercpu_time_millis_training 291.7740230000163 usercpu_time_millis_training 153.79777600003308 wall_clock_time_millis 209.74087715148926 wall_clock_time_millis 283.04529190063477 wall_clock_time_millis 180.65667152404785 wall_clock_time_millis 540.1139259338379 wall_clock_time_millis 199.85032081604004 wall_clock_time_millis 430.9546947479248 wall_clock_time_millis 202.94427871704102 wall_clock_time_millis 352.1571159362793 wall_clock_time_millis 299.8471260070801 wall_clock_time_millis 158.26964378356934 wall_clock_time_millis_testing 5.439043045043945 wall_clock_time_millis_testing 7.561922073364258 wall_clock_time_millis_testing 5.496501922607422 wall_clock_time_millis_testing 7.231235504150391 wall_clock_time_millis_testing 6.00433349609375 wall_clock_time_millis_testing 6.267070770263672 wall_clock_time_millis_testing 5.741119384765625 wall_clock_time_millis_testing 6.224393844604492 wall_clock_time_millis_testing 5.562305450439453 wall_clock_time_millis_testing 3.9060115814208984 wall_clock_time_millis_training 204.3018341064453 wall_clock_time_millis_training 275.4833698272705 wall_clock_time_millis_training 175.16016960144043 wall_clock_time_millis_training 532.8826904296875 wall_clock_time_millis_training 193.8459873199463 wall_clock_time_millis_training 424.68762397766113 wall_clock_time_millis_training 197.2031593322754 wall_clock_time_millis_training 345.9327220916748 wall_clock_time_millis_training 294.2848205566406 wall_clock_time_millis_training 154.36363220214844 weighted_recall 0.8354898336414048 [0.890052,0.704403] weighted_recall 0.8558225508317929 [0.89267,0.767296] weighted_recall 0.8391866913123844 [0.903141,0.685535] weighted_recall 0.8299445471349353 [0.887435,0.691824] weighted_recall 0.8333333333333334 [0.895288,0.683544] weighted_recall 0.8629629629629629 [0.905759,0.759494] weighted_recall 0.8666666666666667 [0.918848,0.740506] weighted_recall 0.8574074074074074 [0.900524,0.753165] weighted_recall 0.8351851851851851 [0.913386,0.647799] weighted_recall 0.8740740740740741 [0.929134,0.742138]