8784074 4009 Vishal Chouskey 9952 Supervised Classification 7694 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4) 6759391 categorical_features [] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap true 7257 class_weight null 7257 criterion "entropy" 7257 max_depth null 7257 max_features 0.491457863991951 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 5 7257 min_samples_split 2 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 35158 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "mean" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 18484315 description https://api.openml.org/data/download/18484315/description.xml -1 18484316 predictions https://api.openml.org/data/download/18484316/predictions.arff area_under_roc_curve 0.9487719780927537 [0.948772,0.948772] average_cost 0 f_measure 0.8904931015578134 [0.923057,0.812102] kappa 0.7351700335369115 kb_relative_information_score 3125.441327715899 mean_absolute_error 0.1789086128207234 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.8902368174166841 [0.919221,0.820463] predictive_accuracy 0.890821613619541 prior_entropy 0.873279070744311 recall 0.890821613619541 [0.926925,0.803909] relative_absolute_error 0.43137977639267605 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.2856889718198874 root_relative_squared_error 0.6273924047032754 total_cost 0 area_under_roc_curve 0.9508297935394645 [0.95083,0.95083] area_under_roc_curve 0.9563123579966412 [0.956312,0.956312] area_under_roc_curve 0.9446310382297737 [0.944631,0.944631] area_under_roc_curve 0.944524021205835 [0.944524,0.944524] area_under_roc_curve 0.9315892371926567 [0.931589,0.931589] area_under_roc_curve 0.9535008946914971 [0.953501,0.953501] area_under_roc_curve 0.9610643515143482 [0.961064,0.961064] area_under_roc_curve 0.9505434422426935 [0.950543,0.950543] area_under_roc_curve 0.9414731177470741 [0.941473,0.941473] area_under_roc_curve 0.9564700638835238 [0.95647,0.95647] 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 0.8851843575159614 [0.91906,0.803797] f_measure 0.8952870718359063 [0.924703,0.824615] f_measure 0.8770616562083018 [0.914508,0.787097] f_measure 0.8799617113827796 [0.91481,0.796238] f_measure 0.878220029239766 [0.913158,0.79375] f_measure 0.9017602102569423 [0.930719,0.831746] f_measure 0.9115874654706821 [0.936675,0.850932] f_measure 0.8875550129619582 [0.92268,0.802632] f_measure 0.881825489159175 [0.91871,0.793443] f_measure 0.906110583589558 [0.935567,0.835526] kappa 0.7228621003057093 kappa 0.74936807626974 kappa 0.7016843230959463 kappa 0.711049392353265 kappa 0.7069271758436945 kappa 0.7624659717150257 kappa 0.7876384610342793 kappa 0.7254795634786144 kappa 0.7123579545454545 kappa 0.7712833545108005 kb_relative_information_score 315.967845708439 kb_relative_information_score 310.33958432653634 kb_relative_information_score 312.45642002982686 kb_relative_information_score 295.44716234730674 kb_relative_information_score 294.7305216868921 kb_relative_information_score 317.7061497653763 kb_relative_information_score 323.242829792346 kb_relative_information_score 313.0224657543841 kb_relative_information_score 307.0140721549048 kb_relative_information_score 335.5142761499184 mean_absolute_error 0.17895383504554616 mean_absolute_error 0.1825823504278215 mean_absolute_error 0.1784227007181488 mean_absolute_error 0.1900871182696976 mean_absolute_error 0.19045533104108417 mean_absolute_error 0.17574093576256825 mean_absolute_error 0.17057575657184595 mean_absolute_error 0.17701838951318213 mean_absolute_error 0.18124530098019076 mean_absolute_error 0.16397772181571066 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 0.8849990777478208 [0.916667,0.808917] precision 0.8962712216704155 [0.933333,0.807229] precision 0.876566636816848 [0.905128,0.807947] precision 0.8800781155243765 [0.91601,0.79375] precision 0.8787706577830035 [0.917989,0.783951] precision 0.9016757240518694 [0.929504,0.834395] precision 0.9123198120279075 [0.944149,0.835366] precision 0.887266377705151 [0.908629,0.835616] precision 0.8815329253876644 [0.903553,0.828767] precision 0.9062893447790873 [0.918987,0.875862] predictive_accuracy 0.8853974121996303 predictive_accuracy 0.8946395563770796 predictive_accuracy 0.878003696857671 predictive_accuracy 0.8798521256931607 predictive_accuracy 0.8777777777777778 predictive_accuracy 0.9018518518518519 predictive_accuracy 0.9111111111111111 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.9074074074074074 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 prior_entropy 0.873279070744311 recall 0.8853974121996303 [0.921466,0.798742] recall 0.8946395563770795 [0.91623,0.842767] recall 0.878003696857671 [0.924084,0.767296] recall 0.8798521256931608 [0.913613,0.798742] recall 0.8777777777777778 [0.908377,0.803797] recall 0.9018518518518519 [0.931937,0.829114] recall 0.9111111111111111 [0.929319,0.867089] recall 0.8888888888888888 [0.937173,0.772152] recall 0.8833333333333333 [0.934383,0.761006] recall 0.9074074074074074 [0.952756,0.798742] relative_absolute_error 0.43131110576874837 relative_absolute_error 0.4400564840470612 relative_absolute_error 0.43003097598553813 relative_absolute_error 0.4581443317626102 relative_absolute_error 0.45962985607932866 relative_absolute_error 0.42411929647887453 relative_absolute_error 0.4116540609032765 relative_absolute_error 0.4272022024827815 relative_absolute_error 0.43659749447416074 relative_absolute_error 0.3950020337473185 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 0.28356431473388355 root_mean_squared_error 0.2802850706209761 root_mean_squared_error 0.2918904017850951 root_mean_squared_error 0.29613032139937173 root_mean_squared_error 0.29957918277062656 root_mean_squared_error 0.280356069452354 root_mean_squared_error 0.26998861007598063 root_mean_squared_error 0.28815021264371626 root_mean_squared_error 0.2924586014186016 root_mean_squared_error 0.27295906455708585 root_relative_squared_error 0.6224700758121207 root_relative_squared_error 0.6152715983397927 root_relative_squared_error 0.6407471994440199 root_relative_squared_error 0.6500545168552847 root_relative_squared_error 0.658482411660886 root_relative_squared_error 0.6162295358089003 root_relative_squared_error 0.5934416051195455 root_relative_squared_error 0.63336125423477 root_relative_squared_error 0.6416471889842269 root_relative_squared_error 0.5988656706667763 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 usercpu_time_millis 448.4137939999755 usercpu_time_millis 443.49899599990295 usercpu_time_millis 442.76251899987074 usercpu_time_millis 446.6510869999638 usercpu_time_millis 444.52846700005466 usercpu_time_millis 442.5549739999042 usercpu_time_millis 451.8744039999092 usercpu_time_millis 435.05729299999985 usercpu_time_millis 449.67655400000694 usercpu_time_millis 448.4106449999672 usercpu_time_millis_testing 2.5759789999710847 usercpu_time_millis_testing 2.5167939999164446 usercpu_time_millis_testing 2.5094609999314343 usercpu_time_millis_testing 2.6668799999924886 usercpu_time_millis_testing 2.5445570000783846 usercpu_time_millis_testing 2.5253139999676932 usercpu_time_millis_testing 2.625977999969109 usercpu_time_millis_testing 2.544484000054581 usercpu_time_millis_testing 2.6595760000418522 usercpu_time_millis_testing 2.492749999987609 usercpu_time_millis_training 445.8378150000044 usercpu_time_millis_training 440.9822019999865 usercpu_time_millis_training 440.2530579999393 usercpu_time_millis_training 443.9842069999713 usercpu_time_millis_training 441.9839099999763 usercpu_time_millis_training 440.0296599999365 usercpu_time_millis_training 449.2484259999401 usercpu_time_millis_training 432.51280899994526 usercpu_time_millis_training 447.0169779999651 usercpu_time_millis_training 445.9178949999796