10464786 12269 Marc Zöller 9983 Supervised Classification 17868 sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1) 8275468 algorithm "SAMME.R" 17696 base_estimator null 17696 learning_rate 10.663728212608708 17696 n_estimators 336 17696 random_state 42 17696 n_components 269 17705 priors null 17705 shrinkage null 17705 solver "svd" 17705 store_covariance false 17705 tol 0.0010058235872081908 17705 memory null 17868 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}] 17868 verbose false 17868 automl_meta_features openml-python Sklearn_0.22.1. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 21854210 description https://api.openml.org/data/download/21854210/description.xml -1 21854211 predictions https://api.openml.org/data/download/21854211/predictions.arff area_under_roc_curve 0.7121849668280648 [0.712185,0.712185] average_cost 0 f_measure 0.6557960165046884 [0.718557,0.578715] kappa 0.3040333729140136 kb_relative_information_score 0.1519232889079986 mean_absolute_error 0.4297320099226698 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.6625500667556742 [0.781519,0.516436] number_of_instances 14980 [8257,6723] precision 0.6618826681200153 [0.664984,0.658074] predictive_accuracy 0.6625500667556743 prior_entropy 0.9924223735239917 relative_absolute_error 0.8685710010152039 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.4628657379605464 root_relative_squared_error 0.9306237895571213 total_cost 0 unweighted_recall 0.64897741311304 [0.781519,0.516436] area_under_roc_curve 0.7364666205465238 [0.736467,0.736467] area_under_roc_curve 0.6970609218263577 [0.697061,0.697061] area_under_roc_curve 0.6843166291940505 [0.684317,0.684317] area_under_roc_curve 0.7120841980860141 [0.712084,0.712084] area_under_roc_curve 0.7050535786348437 [0.705054,0.705054] area_under_roc_curve 0.7164854289173297 [0.716485,0.716485] area_under_roc_curve 0.7343245560936239 [0.734325,0.734325] area_under_roc_curve 0.6921860507001666 [0.692186,0.692186] area_under_roc_curve 0.7258913053266692 [0.725891,0.725891] area_under_roc_curve 0.7200972578684316 [0.720097,0.720097] 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 0.6770562100848144 [0.734489,0.606462] f_measure 0.6477508557042491 [0.710615,0.570481] f_measure 0.6389853726140614 [0.693761,0.571657] f_measure 0.670125141722279 [0.729202,0.59751] f_measure 0.6374159383792265 [0.712105,0.545611] f_measure 0.6547384028996542 [0.717863,0.577148] f_measure 0.6691158668984617 [0.738729,0.58355] f_measure 0.6420318858777567 [0.704431,0.56554] f_measure 0.6573944335395535 [0.722038,0.578151] f_measure 0.6624095773837669 [0.721256,0.590272] kappa 0.3466299862448418 kappa 0.28738203605132545 kappa 0.26844385375266777 kappa 0.33268610078825217 kappa 0.2690765130540534 kappa 0.3018236573531874 kappa 0.3334757890101921 kappa 0.27589306515848894 kappa 0.30802456525859956 kappa 0.3171135737832429 kb_relative_information_score 0.1728218998714127 kb_relative_information_score 0.14124235120610945 kb_relative_information_score 0.13379470604292762 kb_relative_information_score 0.15338348391030934 kb_relative_information_score 0.14371763582307107 kb_relative_information_score 0.15547752865866798 kb_relative_information_score 0.16671790864892244 kb_relative_information_score 0.14164584788068293 kb_relative_information_score 0.15617208018649664 kb_relative_information_score 0.15426018311852455 mean_absolute_error 0.4211006253015822 mean_absolute_error 0.43433094263686045 mean_absolute_error 0.43703825901305215 mean_absolute_error 0.4293862308371499 mean_absolute_error 0.4326257063141175 mean_absolute_error 0.42813674501675064 mean_absolute_error 0.4236918447744014 mean_absolute_error 0.4339445523516024 mean_absolute_error 0.4280492948512761 mean_absolute_error 0.42901589812992036 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.6830814918333478 [0.682243,0.684112] precision 0.6527725188591238 [0.659751,0.644195] precision 0.6403671692851376 [0.65798,0.618718] precision 0.6761178971567412 [0.676684,0.675422] precision 0.6474232839553267 [0.647817,0.646939] precision 0.6608017438961543 [0.664264,0.656546] precision 0.6824091292137643 [0.669951,0.697723] precision 0.646391072010548 [0.655532,0.635185] precision 0.6649645409024497 [0.664628,0.665377] precision 0.6674938630511963 [0.67119,0.662963] predictive_accuracy 0.6829105473965287 predictive_accuracy 0.6542056074766356 predictive_accuracy 0.6428571428571429 predictive_accuracy 0.6762349799732977 predictive_accuracy 0.6475300400534045 predictive_accuracy 0.6615487316421895 predictive_accuracy 0.67890520694259 predictive_accuracy 0.6481975967957276 predictive_accuracy 0.6648865153538052 predictive_accuracy 0.6682242990654206 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.8511605898433113 relative_absolute_error 0.8779027128188938 relative_absolute_error 0.8833749464495171 relative_absolute_error 0.8679080855037892 relative_absolute_error 0.8744559595559447 relative_absolute_error 0.8653825297957439 relative_absolute_error 0.8563981595888294 relative_absolute_error 0.8770005486238106 relative_absolute_error 0.8650862521219947 relative_absolute_error 0.8670397542481966 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.4539638198132367 root_mean_squared_error 0.4668320684961534 root_mean_squared_error 0.47086032548671375 root_mean_squared_error 0.46257999598927946 root_mean_squared_error 0.46704393282748263 root_mean_squared_error 0.4606675094677757 root_mean_squared_error 0.4563563140695628 root_mean_squared_error 0.4680575907987397 root_mean_squared_error 0.46037586376128314 root_mean_squared_error 0.461640949218407 root_relative_squared_error 0.9127636937669101 root_relative_squared_error 0.9386372759500946 root_relative_squared_error 0.9467367027538848 root_relative_squared_error 0.9300878338180418 root_relative_squared_error 0.9390632615930058 root_relative_squared_error 0.9262424871506236 root_relative_squared_error 0.9175741694026529 root_relative_squared_error 0.9409713786622231 root_relative_squared_error 0.9255282250353215 root_relative_squared_error 0.9280715214802824 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 0.670021186440678 [0.7954,0.544643] unweighted_recall 0.6409402744148507 [0.769976,0.511905] unweighted_recall 0.6324530871670702 [0.733656,0.53125] unweighted_recall 0.663135593220339 [0.790557,0.535714] unweighted_recall 0.6311415456012914 [0.790557,0.471726] unweighted_recall 0.6478763115415658 [0.780872,0.514881] unweighted_recall 0.6623663236481033 [0.823245,0.501488] unweighted_recall 0.635435183934441 [0.761212,0.509658] unweighted_recall 0.6507235805304156 [0.790303,0.511144] unweighted_recall 0.655670223783151 [0.779394,0.531947] usercpu_time_millis 2562.5 usercpu_time_millis 2796.875 usercpu_time_millis 2921.875 usercpu_time_millis 2968.75 usercpu_time_millis 2796.875 usercpu_time_millis 2890.625 usercpu_time_millis 3031.25 usercpu_time_millis 2921.875 usercpu_time_millis 2937.5 usercpu_time_millis 2968.75 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 812.5 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 843.75 usercpu_time_millis_testing 843.75 usercpu_time_millis_testing 828.125 usercpu_time_millis_training 1734.375 usercpu_time_millis_training 1968.75 usercpu_time_millis_training 2093.75 usercpu_time_millis_training 2140.625 usercpu_time_millis_training 1968.75 usercpu_time_millis_training 2078.125 usercpu_time_millis_training 2203.125 usercpu_time_millis_training 2078.125 usercpu_time_millis_training 2093.75 usercpu_time_millis_training 2140.625 wall_clock_time_millis 1808.4657192230225 wall_clock_time_millis 1822.7887153625488 wall_clock_time_millis 1828.6001682281494 wall_clock_time_millis 1830.275535583496 wall_clock_time_millis 1828.5679817199707 wall_clock_time_millis 1824.8741626739502 wall_clock_time_millis 1826.697826385498 wall_clock_time_millis 1822.2579956054688 wall_clock_time_millis 1841.747522354126 wall_clock_time_millis 1824.3169784545898 wall_clock_time_millis_testing 183.00199508666992 wall_clock_time_millis_testing 179.95142936706543 wall_clock_time_millis_testing 183.24995040893555 wall_clock_time_millis_testing 185.16016006469727 wall_clock_time_millis_testing 179.6877384185791 wall_clock_time_millis_testing 180.45687675476074 wall_clock_time_millis_testing 182.19304084777832 wall_clock_time_millis_testing 180.15480041503906 wall_clock_time_millis_testing 178.89809608459473 wall_clock_time_millis_testing 179.6550750732422 wall_clock_time_millis_training 1625.4637241363525 wall_clock_time_millis_training 1642.8372859954834 wall_clock_time_millis_training 1645.3502178192139 wall_clock_time_millis_training 1645.1153755187988 wall_clock_time_millis_training 1648.8802433013916 wall_clock_time_millis_training 1644.4172859191895 wall_clock_time_millis_training 1644.5047855377197 wall_clock_time_millis_training 1642.1031951904297 wall_clock_time_millis_training 1662.8494262695312 wall_clock_time_millis_training 1644.6619033813477 weighted_recall 0.6829105473965287 [0.7954,0.544643] weighted_recall 0.6542056074766355 [0.769976,0.511905] weighted_recall 0.6428571428571429 [0.733656,0.53125] weighted_recall 0.6762349799732977 [0.790557,0.535714] weighted_recall 0.6475300400534045 [0.790557,0.471726] weighted_recall 0.6615487316421896 [0.780872,0.514881] weighted_recall 0.6789052069425902 [0.823245,0.501488] weighted_recall 0.6481975967957276 [0.761212,0.509658] weighted_recall 0.664886515353805 [0.790303,0.511144] weighted_recall 0.6682242990654206 [0.779394,0.531947]