10590957 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) 8304391 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 7972 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 22109510 description https://api.openml.org/data/download/22109510/description.xml -1 22109511 predictions https://api.openml.org/data/download/22109511/predictions.arff area_under_roc_curve 0.99117233808135 [0.991172,0.991172] average_cost 0 f_measure 0.9493347480079484 [0.955007,0.942368] kappa 0.8974200442694962 kb_relative_information_score 0.6376669741800233 mean_absolute_error 0.2052963951935931 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.9494659546061415 [0.972993,0.920571] number_of_instances 14980 [8257,6723] precision 0.9500378456079817 [0.937675,0.965221] predictive_accuracy 0.9494659546061415 prior_entropy 0.9924223735239917 relative_absolute_error 0.4149434795657873 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.253938456427679 root_relative_squared_error 0.5105609451161321 total_cost 0 unweighted_recall 0.9467818929560774 [0.972993,0.920571] area_under_roc_curve 0.989873385794996 [0.989873,0.989873] area_under_roc_curve 0.992388374841462 [0.992388,0.992388] area_under_roc_curve 0.9946799694454053 [0.99468,0.99468] area_under_roc_curve 0.9905949138129828 [0.990595,0.990595] area_under_roc_curve 0.9914344445405282 [0.991434,0.991434] area_under_roc_curve 0.9910101752565433 [0.99101,0.99101] area_under_roc_curve 0.9917776432606941 [0.991778,0.991778] area_under_roc_curve 0.9897446980953667 [0.989745,0.989745] area_under_roc_curve 0.9906263226619839 [0.990626,0.990626] area_under_roc_curve 0.9897609077401054 [0.989761,0.989761] 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 0.9545015102879489 [0.959524,0.948328] f_measure 0.9578179445805405 [0.962656,0.951872] f_measure 0.9470831372753798 [0.953282,0.939464] f_measure 0.948433576718992 [0.954411,0.941086] f_measure 0.9498589155763345 [0.955117,0.943396] f_measure 0.947758451564036 [0.953846,0.940276] f_measure 0.9458667831263798 [0.951351,0.939144] f_measure 0.9484858209907104 [0.954085,0.941622] f_measure 0.9504691978979359 [0.956005,0.943683] kappa 0.8846470923964741 kappa 0.9078847419861245 kappa 0.9145746473875633 kappa 0.892819556975668 kappa 0.8955621189265931 kappa 0.898529467548396 kappa 0.89419102918431 kappa 0.8905059693007391 kappa 0.8957414768978241 kappa 0.899734620373268 kb_relative_information_score 0.6386755570732056 kb_relative_information_score 0.6422714600897216 kb_relative_information_score 0.648992001963747 kb_relative_information_score 0.6328374147037795 kb_relative_information_score 0.6354631616008368 kb_relative_information_score 0.6387720982119869 kb_relative_information_score 0.6317750329402324 kb_relative_information_score 0.6291597297466855 kb_relative_information_score 0.6412819771003849 kb_relative_information_score 0.637442328859382 mean_absolute_error 0.20425901201602134 mean_absolute_error 0.2029572763684913 mean_absolute_error 0.19996662216288405 mean_absolute_error 0.20749666221628815 mean_absolute_error 0.20686915887850502 mean_absolute_error 0.20479973297730322 mean_absolute_error 0.208311081441922 mean_absolute_error 0.20964619492656883 mean_absolute_error 0.20291054739652872 mean_absolute_error 0.20574766355140234 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 0.9550762385009426 [0.943794,0.968944] precision 0.9587601062413006 [0.943089,0.978022] precision 0.9482162136974531 [0.931792,0.968404] precision 0.9494515663314688 [0.933951,0.968504] precision 0.9500948620530533 [0.944379,0.957121] precision 0.9488332361519218 [0.93287,0.968454] precision 0.9459979060226198 [0.942857,0.949848] precision 0.949000664674951 [0.938967,0.9613] precision 0.9512220524465549 [0.938156,0.967239] predictive_accuracy 0.9432576769025367 predictive_accuracy 0.9546061415220294 predictive_accuracy 0.9579439252336448 predictive_accuracy 0.9472630173564752 predictive_accuracy 0.9485981308411214 predictive_accuracy 0.9499332443257678 predictive_accuracy 0.9479305740987983 predictive_accuracy 0.9459279038718291 predictive_accuracy 0.9485981308411214 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 0.4128638399049071 relative_absolute_error 0.4102326728749884 relative_absolute_error 0.40418773528830343 relative_absolute_error 0.41940802456906384 relative_absolute_error 0.41813966712900164 relative_absolute_error 0.41395678620964305 relative_absolute_error 0.42105419060829447 relative_absolute_error 0.42369428760226335 relative_absolute_error 0.4100815655455625 relative_absolute_error 0.41581536819580905 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 0.25457548632507854 root_mean_squared_error 0.251162185166631 root_mean_squared_error 0.2469397476821296 root_mean_squared_error 0.2569029625680386 root_mean_squared_error 0.25450795481756705 root_mean_squared_error 0.2529277167622048 root_mean_squared_error 0.25665598842651965 root_mean_squared_error 0.25800909206612305 root_mean_squared_error 0.2533289707539012 root_mean_squared_error 0.2541940587280845 root_relative_squared_error 0.5118629527264604 root_relative_squared_error 0.5049999886809884 root_relative_squared_error 0.49651013229410934 root_relative_squared_error 0.5165426997017876 root_relative_squared_error 0.511727170301625 root_relative_squared_error 0.5085498599929821 root_relative_squared_error 0.5160461204154241 root_relative_squared_error 0.5186950833433679 root_relative_squared_error 0.5092862834648045 root_relative_squared_error 0.5110254348849154 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 0.9521791767554479 [0.975787,0.928571] unweighted_recall 0.9550670903954803 [0.983051,0.927083] unweighted_recall 0.9439946529459241 [0.975787,0.912202] unweighted_recall 0.9454827481840193 [0.975787,0.915179] unweighted_recall 0.948080609362389 [0.966102,0.93006] unweighted_recall 0.9447387005649717 [0.975787,0.91369] unweighted_recall 0.9443387815750371 [0.96,0.928678] unweighted_recall 0.9462154982214418 [0.969697,0.922734] unweighted_recall 0.9478967985951641 [0.974545,0.921248] usercpu_time_millis 1812.5 usercpu_time_millis 2000 usercpu_time_millis 1968.75 usercpu_time_millis 1953.125 usercpu_time_millis 1890.625 usercpu_time_millis 1828.125 usercpu_time_millis 1812.5 usercpu_time_millis 1796.875 usercpu_time_millis 1781.25 usercpu_time_millis 2015.625 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_testing 78.125 usercpu_time_millis_training 1734.375 usercpu_time_millis_training 1906.25 usercpu_time_millis_training 1875 usercpu_time_millis_training 1875 usercpu_time_millis_training 1812.5 usercpu_time_millis_training 1750 usercpu_time_millis_training 1734.375 usercpu_time_millis_training 1718.75 usercpu_time_millis_training 1703.125 usercpu_time_millis_training 1937.5 wall_clock_time_millis 1833.9481353759766 wall_clock_time_millis 2184.725522994995 wall_clock_time_millis 2126.781702041626 wall_clock_time_millis 2101.815938949585 wall_clock_time_millis 2211.709976196289 wall_clock_time_millis 1827.9528617858887 wall_clock_time_millis 1821.9552040100098 wall_clock_time_millis 1787.9951000213623 wall_clock_time_millis 1806.9636821746826 wall_clock_time_millis 2023.8595008850098 wall_clock_time_millis_testing 82.95750617980957 wall_clock_time_millis_testing 79.95295524597168 wall_clock_time_millis_testing 175.89735984802246 wall_clock_time_millis_testing 77.97598838806152 wall_clock_time_millis_testing 76.95508003234863 wall_clock_time_millis_testing 79.95414733886719 wall_clock_time_millis_testing 75.95562934875488 wall_clock_time_millis_testing 73.9593505859375 wall_clock_time_millis_testing 73.95291328430176 wall_clock_time_millis_testing 72.98064231872559 wall_clock_time_millis_training 1750.990629196167 wall_clock_time_millis_training 2104.7725677490234 wall_clock_time_millis_training 1950.8843421936035 wall_clock_time_millis_training 2023.8399505615234 wall_clock_time_millis_training 2134.7548961639404 wall_clock_time_millis_training 1747.9987144470215 wall_clock_time_millis_training 1745.9995746612549 wall_clock_time_millis_training 1714.0357494354248 wall_clock_time_millis_training 1733.0107688903809 wall_clock_time_millis_training 1950.8788585662842 weighted_recall 0.9432576769025367 [0.973366,0.90625] weighted_recall 0.9546061415220294 [0.975787,0.928571] weighted_recall 0.9579439252336449 [0.983051,0.927083] weighted_recall 0.9472630173564753 [0.975787,0.912202] weighted_recall 0.9485981308411215 [0.975787,0.915179] weighted_recall 0.9499332443257676 [0.966102,0.93006] weighted_recall 0.9479305740987984 [0.975787,0.91369] weighted_recall 0.9459279038718291 [0.96,0.928678] weighted_recall 0.9485981308411215 [0.969697,0.922734] weighted_recall 0.9506008010680908 [0.974545,0.921248]