10584029 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) 8300311 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 0.7265526925336186 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 308 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 156 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 11 19040 random_state 26048 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2859582200632055 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 22094326 description https://api.openml.org/data/download/22094326/description.xml -1 22094327 predictions https://api.openml.org/data/download/22094327/predictions.arff area_under_roc_curve 0.9271448973700602 [0.927145,0.927145] average_cost 0 f_measure 0.8606509319763352 [0.902933,0.758865] kappa 0.6618673405130271 kb_relative_information_score 0.5532166547898292 mean_absolute_error 0.18479525829786303 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8615840118430792 [0.91121,0.742119] number_of_instances 5404 [3818,1586] precision 0.8600500830545484 [0.894805,0.776385] predictive_accuracy 0.8615840118430792 prior_entropy 0.8731822780289229 relative_absolute_error 0.44557350228208337 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.31232674288822626 root_relative_squared_error 0.6858907609402699 total_cost 0 unweighted_recall 0.826664297411148 [0.91121,0.742119] area_under_roc_curve 0.9231123843392933 [0.923112,0.923112] area_under_roc_curve 0.9349995060752742 [0.935,0.935] area_under_roc_curve 0.9274259936119069 [0.927426,0.927426] area_under_roc_curve 0.9288830715532286 [0.928883,0.928883] area_under_roc_curve 0.8974087083305721 [0.897409,0.897409] area_under_roc_curve 0.9287891841739015 [0.928789,0.928789] area_under_roc_curve 0.9486546490821128 [0.948655,0.948655] area_under_roc_curve 0.929120551395056 [0.929121,0.929121] area_under_roc_curve 0.921589989930504 [0.92159,0.92159] area_under_roc_curve 0.9333845061820103 [0.933385,0.933385] 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 0.8607112414295706 [0.902471,0.760383] f_measure 0.8688812539719591 [0.906946,0.777429] f_measure 0.8592710608976943 [0.903723,0.752475] f_measure 0.8617423946200681 [0.901445,0.766355] f_measure 0.8275843532083359 [0.881443,0.697368] f_measure 0.8693585247989394 [0.909326,0.772727] f_measure 0.8803774184513701 [0.914135,0.798762] f_measure 0.852103805550659 [0.898065,0.740984] f_measure 0.8610436637125459 [0.904639,0.756579] f_measure 0.8645056946832599 [0.907455,0.761589] kappa 0.6628891418316565 kappa 0.6843770285704894 kappa 0.6565253828376972 kappa 0.6678128453886775 kappa 0.5790686640005422 kappa 0.6821392532795155 kappa 0.7129538763493621 kappa 0.6392327988634058 kappa 0.6614993646759846 kappa 0.6694046222131524 kb_relative_information_score 0.5308710688289706 kb_relative_information_score 0.5654673322782766 kb_relative_information_score 0.5756251583444416 kb_relative_information_score 0.5384311711686547 kb_relative_information_score 0.4912792460847419 kb_relative_information_score 0.5625772985931486 kb_relative_information_score 0.5985387698205151 kb_relative_information_score 0.556758940594657 kb_relative_information_score 0.5407681050354407 kb_relative_information_score 0.5718421211980899 mean_absolute_error 0.19563390123809046 mean_absolute_error 0.17978464117237414 mean_absolute_error 0.17448854697875557 mean_absolute_error 0.19029028612815346 mean_absolute_error 0.20546250340055522 mean_absolute_error 0.18337648805745807 mean_absolute_error 0.16879997993521315 mean_absolute_error 0.1799863079832435 mean_absolute_error 0.19030602149600498 mean_absolute_error 0.17982202447335888 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 0.860222610405304 [0.896641,0.772727] precision 0.8690076459943432 [0.908136,0.775] precision 0.8587342918468924 [0.88665,0.791667] precision 0.8621760846581491 [0.905013,0.759259] precision 0.8264742316894462 [0.86802,0.726027] precision 0.8687901234567901 [0.9,0.793333] precision 0.8814554433221099 [0.922667,0.781818] precision 0.8513246746252926 [0.885496,0.768707] precision 0.8604869295310151 [0.888608,0.793103] precision 0.8641489492874883 [0.889169,0.804196] predictive_accuracy 0.8613678373382625 predictive_accuracy 0.8687615526802219 predictive_accuracy 0.8613678373382625 predictive_accuracy 0.8613678373382625 predictive_accuracy 0.8296296296296296 predictive_accuracy 0.8703703703703703 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.8537037037037036 predictive_accuracy 0.8629629629629629 predictive_accuracy 0.8666666666666667 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 0.47151308183688434 relative_absolute_error 0.4333134987834073 relative_absolute_error 0.4205489539927148 relative_absolute_error 0.4586340030438374 relative_absolute_error 0.4958469807669721 relative_absolute_error 0.44254633542392435 relative_absolute_error 0.40736854179775717 relative_absolute_error 0.43436474254817475 relative_absolute_error 0.45842364860859247 relative_absolute_error 0.4331689975505652 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 0.3125863134394759 root_mean_squared_error 0.3032610527131102 root_mean_squared_error 0.3144958490336867 root_mean_squared_error 0.3131066681143596 root_mean_squared_error 0.33843231584501027 root_mean_squared_error 0.3061208237997828 root_mean_squared_error 0.2867317096910678 root_mean_squared_error 0.3208057649453152 root_mean_squared_error 0.31871335418508684 root_mean_squared_error 0.3064468253330961 root_relative_squared_error 0.6861781123873263 root_relative_squared_error 0.6657076390248505 root_relative_squared_error 0.6903698555099044 root_relative_squared_error 0.687320376054135 root_relative_squared_error 0.743882553722793 root_relative_squared_error 0.6728610995298514 root_relative_squared_error 0.6302433498578053 root_relative_squared_error 0.7051389613331266 root_relative_squared_error 0.6992494897145746 root_relative_squared_error 0.6723370182799998 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 0.8284023181533801 [0.908377,0.748428] unweighted_recall 0.8428166880700715 [0.905759,0.779874] unweighted_recall 0.8192235503309295 [0.921466,0.716981] unweighted_recall 0.8357453324113405 [0.897906,0.773585] unweighted_recall 0.7830870170322752 [0.895288,0.670886] unweighted_recall 0.8360063622506462 [0.918848,0.753165] unweighted_recall 0.8611074292530982 [0.905759,0.816456] unweighted_recall 0.8130923189078136 [0.910995,0.71519] unweighted_recall 0.8222651413856287 [0.92126,0.72327] unweighted_recall 0.8248898133016391 [0.926509,0.72327] usercpu_time_millis 266.147272000012 usercpu_time_millis 564.4076539999787 usercpu_time_millis 881.2865259999398 usercpu_time_millis 522.471717999963 usercpu_time_millis 588.6657010000249 usercpu_time_millis 730.0612359999832 usercpu_time_millis 474.8924139999531 usercpu_time_millis 852.4050589999774 usercpu_time_millis 527.9289309999626 usercpu_time_millis 270.449076000034 usercpu_time_millis_testing 5.598222999992686 usercpu_time_millis_testing 6.225475000007918 usercpu_time_millis_testing 6.284210999979223 usercpu_time_millis_testing 5.985983999948985 usercpu_time_millis_testing 6.6032520000476325 usercpu_time_millis_testing 6.144348000020727 usercpu_time_millis_testing 5.885106999983236 usercpu_time_millis_testing 6.423424999979943 usercpu_time_millis_testing 6.436930000006669 usercpu_time_millis_testing 4.006594000031782 usercpu_time_millis_training 260.5490490000193 usercpu_time_millis_training 558.1821789999708 usercpu_time_millis_training 875.0023149999606 usercpu_time_millis_training 516.485734000014 usercpu_time_millis_training 582.0624489999773 usercpu_time_millis_training 723.9168879999625 usercpu_time_millis_training 469.00730699996984 usercpu_time_millis_training 845.9816339999975 usercpu_time_millis_training 521.492000999956 usercpu_time_millis_training 266.4424820000022 wall_clock_time_millis 272.61877059936523 wall_clock_time_millis 578.7689685821533 wall_clock_time_millis 930.5074214935303 wall_clock_time_millis 531.8470001220703 wall_clock_time_millis 594.3424701690674 wall_clock_time_millis 755.4528713226318 wall_clock_time_millis 479.54297065734863 wall_clock_time_millis 872.1859455108643 wall_clock_time_millis 544.3055629730225 wall_clock_time_millis 272.1896171569824 wall_clock_time_millis_testing 5.603551864624023 wall_clock_time_millis_testing 6.240367889404297 wall_clock_time_millis_testing 10.840177536010742 wall_clock_time_millis_testing 5.991220474243164 wall_clock_time_millis_testing 6.597995758056641 wall_clock_time_millis_testing 6.150245666503906 wall_clock_time_millis_testing 5.986690521240234 wall_clock_time_millis_testing 6.428718566894531 wall_clock_time_millis_testing 6.44230842590332 wall_clock_time_millis_testing 4.011869430541992 wall_clock_time_millis_training 267.0152187347412 wall_clock_time_millis_training 572.528600692749 wall_clock_time_millis_training 919.6672439575195 wall_clock_time_millis_training 525.8557796478271 wall_clock_time_millis_training 587.7444744110107 wall_clock_time_millis_training 749.3026256561279 wall_clock_time_millis_training 473.5562801361084 wall_clock_time_millis_training 865.7572269439697 wall_clock_time_millis_training 537.8632545471191 wall_clock_time_millis_training 268.17774772644043 weighted_recall 0.8613678373382625 [0.908377,0.748428] weighted_recall 0.8687615526802218 [0.905759,0.779874] weighted_recall 0.8613678373382625 [0.921466,0.716981] weighted_recall 0.8613678373382625 [0.897906,0.773585] weighted_recall 0.8296296296296296 [0.895288,0.670886] weighted_recall 0.8703703703703703 [0.918848,0.753165] weighted_recall 0.8796296296296297 [0.905759,0.816456] weighted_recall 0.8537037037037037 [0.910995,0.71519] weighted_recall 0.8629629629629629 [0.92126,0.72327] weighted_recall 0.8666666666666667 [0.926509,0.72327]