10464704 12269 Marc Zöller 9983 Supervised Classification 18288 sklearn.pipeline.Pipeline(step_0=sklearn.cluster._agglomerative.FeatureAgglomeration,step_1=sklearn.naive_bayes.MultinomialNB)(1) 8275386 alpha 58.63510919638921 17700 class_prior null 17700 fit_prior true 17700 affinity "euclidean" 17760 compute_full_tree true 17760 connectivity null 17760 distance_threshold null 17760 linkage "single" 17760 memory null 17760 n_clusters 5 17760 pooling_func {"oml-python:serialized_object": "function", "value": "numpy.amax"} 17760 memory null 18288 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"}}] 18288 verbose false 18288 automl_meta_features openml-python Sklearn_0.22.1. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 21854046 description https://api.openml.org/data/download/21854046/description.xml -1 21854047 predictions https://api.openml.org/data/download/21854047/predictions.arff area_under_roc_curve 0.5242370542658176 [0.524237,0.524237] average_cost 0 f_measure 0.34041811932452787 [0.120335,0.610718] kappa 0.009355726273378802 kb_relative_information_score -0.04224634509961835 mean_absolute_error 0.5098891202187595 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.4602803738317757 [0.066973,0.943329] number_of_instances 14980 [8257,6723] precision 0.5289936969378939 [0.592077,0.451516] predictive_accuracy 0.46028037383177567 prior_entropy 0.9924223735239917 relative_absolute_error 1.0305839298191095 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.5421230853743005 root_relative_squared_error 1.0899762042020786 total_cost 0 unweighted_recall 0.5051511740447452 [0.066973,0.943329] area_under_roc_curve 0.5644132653061225 [0.564413,0.564413] area_under_roc_curve 0.5309365271532341 [0.530937,0.530937] area_under_roc_curve 0.5149277931511588 [0.514928,0.514928] area_under_roc_curve 0.5157835379914678 [0.515784,0.515784] area_under_roc_curve 0.5856330349936585 [0.585633,0.585633] area_under_roc_curve 0.5426052836388793 [0.542605,0.542605] area_under_roc_curve 0.5172338002997809 [0.517234,0.517234] area_under_roc_curve 0.5298158404250529 [0.529816,0.529816] area_under_roc_curve 0.5215273087487055 [0.521527,0.521527] area_under_roc_curve 0.5168553289207078 [0.516855,0.516855] 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 0.3677302283530061 [0.159655,0.62349] f_measure 0.33076330569702334 [0.110151,0.601932] f_measure 0.34497458599770453 [0.135593,0.602339] f_measure 0.3331266695752677 [0.112554,0.604247] f_measure 0.31701918253615335 [0.067364,0.623888] f_measure 0.3333396609295933 [0.11099,0.606644] f_measure 0.34061113792868086 [0.119956,0.611833] f_measure 0.35681703336084186 [0.147594,0.613295] f_measure 0.34283294853158164 [0.125405,0.609367] f_measure 0.3342375821198196 [0.109529,0.609698] kappa 0.04489463853972103 kappa -0.010151004789074507 kappa -0.002618161774838027 kappa -0.004994043800971371 kappa 0.023591713353864386 kappa -0.0006868210487757364 kappa 0.011810347787276363 kappa 0.020690164297490807 kappa 0.00718305820669321 kappa 0.003762861214226239 kb_relative_information_score -0.024517966397835253 kb_relative_information_score -0.048566530653173574 kb_relative_information_score -0.045245959307206866 kb_relative_information_score -0.049679273678830765 kb_relative_information_score -0.0320686936479212 kb_relative_information_score -0.04013160180220122 kb_relative_information_score -0.046371073635651634 kb_relative_information_score -0.04319471822177683 kb_relative_information_score -0.042363945084407495 kb_relative_information_score -0.05032186542954502 mean_absolute_error 0.5033292169524205 mean_absolute_error 0.5121119671639938 mean_absolute_error 0.5108741882392323 mean_absolute_error 0.5126629500031079 mean_absolute_error 0.5058701700940255 mean_absolute_error 0.5084838204415325 mean_absolute_error 0.5117172975191002 mean_absolute_error 0.5103212291169388 mean_absolute_error 0.5101402636318133 mean_absolute_error 0.5133800990254249 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 0.611116803784286 [0.732673,0.461704] precision 0.4811267097188239 [0.51,0.445637] precision 0.49995936611133684 [0.542373,0.447826] precision 0.4931680335685676 [0.530612,0.447143] precision 0.6610907046716197 [0.828571,0.455229] precision 0.5035324334792082 [0.548387,0.448399] precision 0.5360426991058879 [0.604396,0.452026] precision 0.5500253940893333 [0.627273,0.455331] precision 0.52220605060443 [0.58,0.451359] precision 0.5152460964501131 [0.568182,0.450355] predictive_accuracy 0.47997329773030706 predictive_accuracy 0.4499332443257677 predictive_accuracy 0.4552736982643525 predictive_accuracy 0.45260347129506007 predictive_accuracy 0.46395193591455275 predictive_accuracy 0.4546061415220294 predictive_accuracy 0.4612817089452604 predictive_accuracy 0.46795727636849127 predictive_accuracy 0.4599465954606141 predictive_accuracy 0.45727636849132175 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 1.0173672691171485 relative_absolute_error 1.0351196313825222 relative_absolute_error 1.0326177385417288 relative_absolute_error 1.0362333197746922 relative_absolute_error 1.022503236733496 relative_absolute_error 1.0277861454678041 relative_absolute_error 1.0343218950991808 relative_absolute_error 1.0313575674232798 relative_absolute_error 1.0309918367582052 relative_absolute_error 1.0375395336984035 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 0.5132318197787961 root_mean_squared_error 0.5485795635757331 root_mean_squared_error 0.5453360424983902 root_mean_squared_error 0.5485233200836098 root_mean_squared_error 0.534638163810663 root_mean_squared_error 0.5435493093046186 root_mean_squared_error 0.5467441316052675 root_mean_squared_error 0.5451842727146957 root_mean_squared_error 0.5462274126519064 root_mean_squared_error 0.5482294098155995 root_relative_squared_error 1.0319310727730104 root_relative_squared_error 1.1030031181348905 root_relative_squared_error 1.0964815229104419 root_relative_squared_error 1.1028900319915014 root_relative_squared_error 1.074971801561949 root_relative_squared_error 1.0928890225424746 root_relative_squared_error 1.0993127014278732 root_relative_squared_error 1.0960249482245765 root_relative_squared_error 1.0981220508977318 root_relative_squared_error 1.1021468163715349 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 0.5247049031476998 [0.089588,0.959821] unweighted_recall 0.49441333736884585 [0.061743,0.927083] unweighted_recall 0.49856234866828086 [0.077482,0.919643] unweighted_recall 0.497250807102502 [0.062954,0.931548] unweighted_recall 0.5130901937046005 [0.035109,0.991071] unweighted_recall 0.49962167070217917 [0.061743,0.9375] unweighted_recall 0.5065072639225181 [0.066586,0.946429] unweighted_recall 0.5113575577468594 [0.083636,0.939079] unweighted_recall 0.5039479490296727 [0.070303,0.937593] unweighted_recall 0.502071232383268 [0.060606,0.943536] usercpu_time_millis 31.25 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 31.25 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 18.877744674682617 wall_clock_time_millis 5.829572677612305 wall_clock_time_millis 4.907369613647461 wall_clock_time_millis 4.48298454284668 wall_clock_time_millis 5.004405975341797 wall_clock_time_millis 4.606723785400391 wall_clock_time_millis 4.770755767822266 wall_clock_time_millis 4.317045211791992 wall_clock_time_millis 4.367828369140625 wall_clock_time_millis 4.740238189697266 wall_clock_time_millis_testing 0.5784034729003906 wall_clock_time_millis_testing 0.5159378051757812 wall_clock_time_millis_testing 0.392913818359375 wall_clock_time_millis_testing 0.3407001495361328 wall_clock_time_millis_testing 0.45037269592285156 wall_clock_time_millis_testing 0.32973289489746094 wall_clock_time_millis_testing 0.3235340118408203 wall_clock_time_millis_testing 0.31948089599609375 wall_clock_time_millis_testing 0.34427642822265625 wall_clock_time_millis_testing 0.32138824462890625 wall_clock_time_millis_training 18.299341201782227 wall_clock_time_millis_training 5.313634872436523 wall_clock_time_millis_training 4.514455795288086 wall_clock_time_millis_training 4.142284393310547 wall_clock_time_millis_training 4.554033279418945 wall_clock_time_millis_training 4.27699089050293 wall_clock_time_millis_training 4.447221755981445 wall_clock_time_millis_training 3.9975643157958984 wall_clock_time_millis_training 4.023551940917969 wall_clock_time_millis_training 4.418849945068359 weighted_recall 0.47997329773030706 [0.089588,0.959821] weighted_recall 0.4499332443257677 [0.061743,0.927083] weighted_recall 0.4552736982643525 [0.077482,0.919643] weighted_recall 0.45260347129506007 [0.062954,0.931548] weighted_recall 0.46395193591455275 [0.035109,0.991071] weighted_recall 0.4546061415220294 [0.061743,0.9375] weighted_recall 0.4612817089452603 [0.066586,0.946429] weighted_recall 0.4679572763684913 [0.083636,0.939079] weighted_recall 0.45994659546061417 [0.070303,0.937593] weighted_recall 0.45727636849132175 [0.060606,0.943536]