10589073 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304108 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19172 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 0 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22105713 description https://api.openml.org/data/download/22105713/description.xml -1 22105714 predictions https://api.openml.org/data/download/22105714/predictions.arff area_under_roc_curve 0.9908891821237826 [0.990889,0.990889] average_cost 0 f_measure 0.9500108331729312 [0.955565,0.94319] kappa 0.8987947907977445 kb_relative_information_score 0.6359108958475064 mean_absolute_error 0.20623030707610232 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.9501335113484646 [0.97275,0.922356] number_of_instances 14980 [8257,6723] precision 0.9506491984498956 [0.938976,0.964986] predictive_accuracy 0.9501335113484646 prior_entropy 0.9924223735239917 relative_absolute_error 0.4168310950096473 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2548223942346372 root_relative_squared_error 0.512338163614241 total_cost 0 unweighted_recall 0.9475532423181078 [0.97275,0.922356] area_under_roc_curve 0.9897553830854375 [0.989755,0.989755] area_under_roc_curve 0.9932324094892193 [0.993232,0.993232] area_under_roc_curve 0.993957540643376 [0.993958,0.993958] area_under_roc_curve 0.9901229029747493 [0.990123,0.990123] area_under_roc_curve 0.9918821342096159 [0.991882,0.991882] area_under_roc_curve 0.9894896517929205 [0.98949,0.98949] area_under_roc_curve 0.9918713248011068 [0.991871,0.991871] area_under_roc_curve 0.9895690936106984 [0.989569,0.989569] area_under_roc_curve 0.9907100724931334 [0.99071,0.99071] area_under_roc_curve 0.9889270115718852 [0.988927,0.988927] 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 0.9430520290368208 [0.949793,0.934766] f_measure 0.957842957093286 [0.962522,0.952091] f_measure 0.9598765164637028 [0.964158,0.954614] f_measure 0.9485035588821371 [0.95403,0.941711] f_measure 0.9490652170964285 [0.955189,0.941538] f_measure 0.9498411287813022 [0.955224,0.943225] f_measure 0.9484647284874806 [0.954248,0.941356] f_measure 0.9478311893395425 [0.953405,0.940998] f_measure 0.9451251618165659 [0.95119,0.93769] f_measure 0.9504788045661693 [0.955952,0.943769] kappa 0.8846470923964741 kappa 0.914646036187751 kappa 0.9187896880613251 kappa 0.8957655959414497 kappa 0.8968177434908389 kappa 0.8984729830598533 kappa 0.895649420556013 kappa 0.894430982235305 kappa 0.8889256616842544 kappa 0.8997621824955465 kb_relative_information_score 0.6386046302974937 kb_relative_information_score 0.642157196117652 kb_relative_information_score 0.6434170488267421 kb_relative_information_score 0.6332103153308768 kb_relative_information_score 0.6333400117072663 kb_relative_information_score 0.638091068607697 kb_relative_information_score 0.6309113589236942 kb_relative_information_score 0.6259277015924023 kb_relative_information_score 0.6364784599202483 kb_relative_information_score 0.63697283317454 mean_absolute_error 0.2042790387182911 mean_absolute_error 0.2034579439252337 mean_absolute_error 0.20320427236315078 mean_absolute_error 0.20730974632843804 mean_absolute_error 0.20806408544726282 mean_absolute_error 0.20491989319092135 mean_absolute_error 0.2088985313751667 mean_absolute_error 0.21130841121495314 mean_absolute_error 0.20541388518024034 mean_absolute_error 0.20544726301735616 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 0.9442922307968779 [0.927336,0.965135] precision 0.9584736417964821 [0.946199,0.973561] precision 0.9602273713766396 [0.951651,0.970769] precision 0.9488636035007622 [0.941107,0.958398] precision 0.9505430331444195 [0.931034,0.974522] precision 0.950204290044286 [0.942285,0.959938] precision 0.9491595467698793 [0.936989,0.964119] precision 0.9482264599099623 [0.939929,0.958398] precision 0.9457622486762974 [0.934503,0.959565] precision 0.951133593347331 [0.939181,0.965785] predictive_accuracy 0.9432576769025367 predictive_accuracy 0.9579439252336448 predictive_accuracy 0.9599465954606141 predictive_accuracy 0.9485981308411214 predictive_accuracy 0.9492656875834445 predictive_accuracy 0.9499332443257678 predictive_accuracy 0.9485981308411214 predictive_accuracy 0.9479305740987983 predictive_accuracy 0.945260347129506 predictive_accuracy 0.9506008010680909 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 0.41290431939767525 relative_absolute_error 0.41124466019418804 relative_absolute_error 0.41073191995245995 relative_absolute_error 0.41903021596989676 relative_absolute_error 0.42055494353082346 relative_absolute_error 0.41419966316625084 relative_absolute_error 0.4222415890628227 relative_absolute_error 0.42705362139028913 relative_absolute_error 0.4151408031781322 relative_absolute_error 0.41520825967989905 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 0.25490266212067747 root_mean_squared_error 0.25027221494891116 root_mean_squared_error 0.2491727300472486 root_mean_squared_error 0.2567745656604127 root_mean_squared_error 0.2551430918715479 root_mean_squared_error 0.2545425751488696 root_mean_squared_error 0.25681719847245804 root_mean_squared_error 0.2594625748934911 root_mean_squared_error 0.2552930983949969 root_mean_squared_error 0.2556801970252446 root_relative_squared_error 0.5125207897052418 root_relative_squared_error 0.5032105674367959 root_relative_squared_error 0.5009998848751431 root_relative_squared_error 0.5162845380806234 root_relative_squared_error 0.5130042104932381 root_relative_squared_error 0.5117967797729086 root_relative_squared_error 0.5163702578699542 root_relative_squared_error 0.5216171291916073 root_relative_squared_error 0.5132349169890605 root_relative_squared_error 0.5140131304801842 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 0.939807808716707 [0.973366,0.90625] unweighted_recall 0.9554832526230832 [0.979419,0.931548] unweighted_recall 0.9579928369652946 [0.976998,0.938988] unweighted_recall 0.9464537933817595 [0.967312,0.925595] unweighted_recall 0.9456719128329298 [0.98063,0.910714] unweighted_recall 0.9478031678773204 [0.968523,0.927083] unweighted_recall 0.9458989104116222 [0.972155,0.919643] unweighted_recall 0.9457463190598406 [0.967273,0.92422] unweighted_recall 0.942637669413301 [0.968485,0.91679] unweighted_recall 0.9480336800396236 [0.973333,0.922734] usercpu_time_millis 1593.75 usercpu_time_millis 1578.125 usercpu_time_millis 1578.125 usercpu_time_millis 1609.375 usercpu_time_millis 1546.875 usercpu_time_millis 1562.5 usercpu_time_millis 1578.125 usercpu_time_millis 1562.5 usercpu_time_millis 1562.5 usercpu_time_millis 1562.5 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_training 1515.625 usercpu_time_millis_training 1515.625 usercpu_time_millis_training 1515.625 usercpu_time_millis_training 1531.25 usercpu_time_millis_training 1468.75 usercpu_time_millis_training 1500 usercpu_time_millis_training 1515.625 usercpu_time_millis_training 1484.375 usercpu_time_millis_training 1484.375 usercpu_time_millis_training 1484.375 wall_clock_time_millis 1593.0681228637695 wall_clock_time_millis 1585.0915908813477 wall_clock_time_millis 1586.094856262207 wall_clock_time_millis 1602.0817756652832 wall_clock_time_millis 1540.0991439819336 wall_clock_time_millis 1571.1240768432617 wall_clock_time_millis 1580.094337463379 wall_clock_time_millis 1565.0806427001953 wall_clock_time_millis 1554.1095733642578 wall_clock_time_millis 1561.0876083374023 wall_clock_time_millis_testing 67.93975830078125 wall_clock_time_millis_testing 65.9632682800293 wall_clock_time_millis_testing 70.94073295593262 wall_clock_time_millis_testing 64.96334075927734 wall_clock_time_millis_testing 69.9622631072998 wall_clock_time_millis_testing 67.98577308654785 wall_clock_time_millis_testing 68.9394474029541 wall_clock_time_millis_testing 70.96028327941895 wall_clock_time_millis_testing 69.94032859802246 wall_clock_time_millis_testing 68.96376609802246 wall_clock_time_millis_training 1525.1283645629883 wall_clock_time_millis_training 1519.1283226013184 wall_clock_time_millis_training 1515.1541233062744 wall_clock_time_millis_training 1537.1184349060059 wall_clock_time_millis_training 1470.1368808746338 wall_clock_time_millis_training 1503.1383037567139 wall_clock_time_millis_training 1511.1548900604248 wall_clock_time_millis_training 1494.1203594207764 wall_clock_time_millis_training 1484.1692447662354 wall_clock_time_millis_training 1492.1238422393799 weighted_recall 0.9432576769025367 [0.973366,0.90625] weighted_recall 0.9579439252336449 [0.979419,0.931548] weighted_recall 0.9599465954606141 [0.976998,0.938988] weighted_recall 0.9485981308411215 [0.967312,0.925595] weighted_recall 0.9492656875834445 [0.98063,0.910714] weighted_recall 0.9499332443257676 [0.968523,0.927083] weighted_recall 0.9485981308411215 [0.972155,0.919643] weighted_recall 0.9479305740987984 [0.967273,0.92422] weighted_recall 0.945260347129506 [0.968485,0.91679] weighted_recall 0.9506008010680908 [0.973333,0.922734]