10583994 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) 8300276 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 0.3840643482724717 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 144 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 166 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 10415 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.28308236943847526 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 22094256 description https://api.openml.org/data/download/22094256/description.xml -1 22094257 predictions https://api.openml.org/data/download/22094257/predictions.arff area_under_roc_curve 0.9287712283422852 [0.928771,0.928771] average_cost 0 f_measure 0.8627582971260354 [0.904006,0.763462] kappa 0.6675052640214391 kb_relative_information_score 0.5425968169949758 mean_absolute_error 0.1912404527681915 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8634344929681718 [0.910162,0.750946] number_of_instances 5404 [3818,1586] precision 0.8622650582709076 [0.897933,0.776402] predictive_accuracy 0.8634344929681717 prior_entropy 0.8731822780289229 relative_absolute_error 0.4611139869215996 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3100583870889915 root_relative_squared_error 0.6809092973908064 total_cost 0 unweighted_recall 0.8305540821105575 [0.910162,0.750946] area_under_roc_curve 0.9247588000921994 [0.924759,0.924759] area_under_roc_curve 0.9381276960057954 [0.938128,0.938128] area_under_roc_curve 0.9251045474003095 [0.925105,0.925105] area_under_roc_curve 0.9178191576937009 [0.917819,0.917819] area_under_roc_curve 0.9175226986546492 [0.917523,0.917523] area_under_roc_curve 0.9357976009013189 [0.935798,0.935798] area_under_roc_curve 0.9391941149181523 [0.939194,0.939194] area_under_roc_curve 0.9329478427993902 [0.932948,0.932948] area_under_roc_curve 0.9170339556612027 [0.917034,0.917034] area_under_roc_curve 0.9405487049967811 [0.940549,0.940549] 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 0.8686403287376241 [0.90719,0.776025] f_measure 0.8706099815157117 [0.908377,0.779874] f_measure 0.8592582446969851 [0.900783,0.759494] f_measure 0.8418778685825443 [0.886544,0.734568] f_measure 0.8584455926391411 [0.901299,0.754839] f_measure 0.8919716364877656 [0.924675,0.812903] f_measure 0.875331907658519 [0.912874,0.784566] f_measure 0.8530032941048207 [0.897269,0.745981] f_measure 0.8446362696115131 [0.892626,0.729642] f_measure 0.8635824600110314 [0.908163,0.756757] kappa 0.6832160853752073 kappa 0.6882511771872635 kappa 0.6602825745682889 kappa 0.6211669679352516 kappa 0.6561892634541922 kappa 0.7376181221097782 kappa 0.6974714027694159 kappa 0.6432871763997592 kappa 0.6224603254826646 kappa 0.6656174209195522 kb_relative_information_score 0.5358653361784309 kb_relative_information_score 0.5366817771527264 kb_relative_information_score 0.5413834086925601 kb_relative_information_score 0.4983024633185671 kb_relative_information_score 0.5184339049546014 kb_relative_information_score 0.5768628508764625 kb_relative_information_score 0.5630354402315377 kb_relative_information_score 0.5538752195548188 kb_relative_information_score 0.5198504602621021 kb_relative_information_score 0.5818512663647885 mean_absolute_error 0.19644010094625788 mean_absolute_error 0.19601188844663484 mean_absolute_error 0.19031019667168134 mean_absolute_error 0.20796811855436712 mean_absolute_error 0.20068731634089407 mean_absolute_error 0.1815114749687475 mean_absolute_error 0.18419558220486293 mean_absolute_error 0.1816751228340649 mean_absolute_error 0.19756748492752826 mean_absolute_error 0.17598952235438414 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 0.868525833254577 [0.906005,0.778481] precision 0.8706099815157117 [0.908377,0.779874] precision 0.8590236366365659 [0.898438,0.764331] precision 0.8429471892798278 [0.893617,0.721212] precision 0.8578748919836819 [0.89433,0.769737] precision 0.8916083880950946 [0.917526,0.828947] precision 0.8749111933030461 [0.906977,0.797386] precision 0.8524694172816988 [0.891473,0.75817] precision 0.8437837071765643 [0.880102,0.756757] precision 0.8639836264512507 [0.883375,0.817518] predictive_accuracy 0.8687615526802219 predictive_accuracy 0.8706099815157117 predictive_accuracy 0.8595194085027726 predictive_accuracy 0.8410351201478743 predictive_accuracy 0.8592592592592593 predictive_accuracy 0.8925925925925925 predictive_accuracy 0.875925925925926 predictive_accuracy 0.8537037037037036 predictive_accuracy 0.8462962962962963 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 0.4734561689325682 relative_absolute_error 0.4724240993674236 relative_absolute_error 0.45868199105450663 relative_absolute_error 0.5012407761783962 relative_absolute_error 0.4843229214036221 relative_absolute_error 0.43804546011177464 relative_absolute_error 0.4445230725571364 relative_absolute_error 0.4384403949470053 relative_absolute_error 0.4759156151493709 relative_absolute_error 0.42393697435513816 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 0.31238386985791333 root_mean_squared_error 0.30208308922786836 root_mean_squared_error 0.31624403584550753 root_mean_squared_error 0.32560874904487136 root_mean_squared_error 0.3158199452124217 root_mean_squared_error 0.2927283458437525 root_mean_squared_error 0.2957812545393157 root_mean_squared_error 0.313922085327255 root_mean_squared_error 0.32610841061701407 root_mean_squared_error 0.29776038728559323 root_relative_squared_error 0.685733715596139 root_relative_squared_error 0.6631218164023864 root_relative_squared_error 0.6942074116505954 root_relative_squared_error 0.7147644896476534 root_relative_squared_error 0.6941800069376342 root_relative_squared_error 0.6434241036042897 root_relative_squared_error 0.6501344720011957 root_relative_squared_error 0.6900084642335611 root_relative_squared_error 0.7154740669672509 root_relative_squared_error 0.6532791805948355 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 0.8409809345055814 [0.908377,0.773585] unweighted_recall 0.8441255885936316 [0.908377,0.779874] unweighted_recall 0.8289291711943101 [0.903141,0.754717] unweighted_recall 0.8140044123942178 [0.879581,0.748428] unweighted_recall 0.8244416462323547 [0.908377,0.740506] unweighted_recall 0.8647027636026244 [0.931937,0.797468] unweighted_recall 0.8455000331367222 [0.918848,0.772152] unweighted_recall 0.818659288223209 [0.903141,0.734177] unweighted_recall 0.8049571633734462 [0.905512,0.704403] unweighted_recall 0.819392858911504 [0.934383,0.704403] usercpu_time_millis 615.597136999952 usercpu_time_millis 749.8217840000052 usercpu_time_millis 916.1463250000565 usercpu_time_millis 722.1990669999627 usercpu_time_millis 887.3840680000171 usercpu_time_millis 765.7945309999832 usercpu_time_millis 552.768227999934 usercpu_time_millis 924.9307209999529 usercpu_time_millis 734.1811650000523 usercpu_time_millis 736.3639159999593 usercpu_time_millis_testing 6.011596999996982 usercpu_time_millis_testing 6.506483000009666 usercpu_time_millis_testing 6.965754000020752 usercpu_time_millis_testing 6.402734000005239 usercpu_time_millis_testing 6.421724999995604 usercpu_time_millis_testing 6.242111000005934 usercpu_time_millis_testing 6.142680999971617 usercpu_time_millis_testing 6.713034999961565 usercpu_time_millis_testing 6.561467000040011 usercpu_time_millis_testing 4.580737999958728 usercpu_time_millis_training 609.585539999955 usercpu_time_millis_training 743.3153009999955 usercpu_time_millis_training 909.1805710000358 usercpu_time_millis_training 715.7963329999575 usercpu_time_millis_training 880.9623430000215 usercpu_time_millis_training 759.5524199999772 usercpu_time_millis_training 546.6255469999624 usercpu_time_millis_training 918.2176859999913 usercpu_time_millis_training 727.6196980000122 usercpu_time_millis_training 731.7831780000006 wall_clock_time_millis 620.4831600189209 wall_clock_time_millis 767.2076225280762 wall_clock_time_millis 943.4876441955566 wall_clock_time_millis 726.8309593200684 wall_clock_time_millis 913.3503437042236 wall_clock_time_millis 779.757022857666 wall_clock_time_millis 578.5632133483887 wall_clock_time_millis 937.5722408294678 wall_clock_time_millis 743.5061931610107 wall_clock_time_millis 738.8131618499756 wall_clock_time_millis_testing 6.017208099365234 wall_clock_time_millis_testing 6.511926651000977 wall_clock_time_millis_testing 7.001399993896484 wall_clock_time_millis_testing 6.431102752685547 wall_clock_time_millis_testing 6.42704963684082 wall_clock_time_millis_testing 6.273984909057617 wall_clock_time_millis_testing 6.147861480712891 wall_clock_time_millis_testing 6.718635559082031 wall_clock_time_millis_testing 6.566762924194336 wall_clock_time_millis_testing 4.585027694702148 wall_clock_time_millis_training 614.4659519195557 wall_clock_time_millis_training 760.6956958770752 wall_clock_time_millis_training 936.4862442016602 wall_clock_time_millis_training 720.3998565673828 wall_clock_time_millis_training 906.9232940673828 wall_clock_time_millis_training 773.4830379486084 wall_clock_time_millis_training 572.4153518676758 wall_clock_time_millis_training 930.8536052703857 wall_clock_time_millis_training 736.9394302368164 wall_clock_time_millis_training 734.2281341552734 weighted_recall 0.8687615526802218 [0.908377,0.773585] weighted_recall 0.8706099815157117 [0.908377,0.779874] weighted_recall 0.8595194085027726 [0.903141,0.754717] weighted_recall 0.8410351201478743 [0.879581,0.748428] weighted_recall 0.8592592592592593 [0.908377,0.740506] weighted_recall 0.8925925925925926 [0.931937,0.797468] weighted_recall 0.8759259259259259 [0.918848,0.772152] weighted_recall 0.8537037037037037 [0.903141,0.734177] weighted_recall 0.8462962962962963 [0.905512,0.704403] weighted_recall 0.8666666666666667 [0.934383,0.704403]