10590967 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19168 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8304389 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 19168 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"}}] 19168 verbose false 19168 algorithm "SAMME.R" 19169 base_estimator null 19169 learning_rate 1.0 19169 n_estimators 50 19169 random_state 38778 19169 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109530 description https://api.openml.org/data/download/22109530/description.xml -1 22109531 predictions https://api.openml.org/data/download/22109531/predictions.arff area_under_roc_curve 0.8171278180782103 [0.817128,0.817128] average_cost 0 f_measure 0.741017106575328 [0.77293,0.701822] kappa 0.47533372669788015 kb_relative_information_score 0.0024824353119669 mean_absolute_error 0.49335318147909857 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.7421895861148198 [0.796052,0.676037] number_of_instances 14980 [8257,6723] precision 0.7414818097943932 [0.751114,0.729652] predictive_accuracy 0.7421895861148198 prior_entropy 0.9924223735239917 relative_absolute_error 0.9971616188620598 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.49381972064071755 root_relative_squared_error 0.9928589266632549 total_cost 0 unweighted_recall 0.7360446590366148 [0.796052,0.676037] area_under_roc_curve 0.8288402225296898 [0.82884,0.82884] area_under_roc_curve 0.8085500619739422 [0.80855,0.80855] area_under_roc_curve 0.8241345266920328 [0.824135,0.824135] area_under_roc_curve 0.8218005952380951 [0.821801,0.821801] area_under_roc_curve 0.8204223956531765 [0.820422,0.820422] area_under_roc_curve 0.8159950420846306 [0.815995,0.815995] area_under_roc_curve 0.82679454196933 [0.826795,0.826795] area_under_roc_curve 0.8018127786032689 [0.801813,0.801813] area_under_roc_curve 0.8131901481381423 [0.81319,0.81319] area_under_roc_curve 0.8110964023594038 [0.811096,0.811096] 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 0.75226359328427 [0.784337,0.71284] f_measure 0.7386811669981018 [0.769776,0.700461] f_measure 0.7498516717596413 [0.77685,0.716667] f_measure 0.7385688145160243 [0.773706,0.69538] f_measure 0.7412570529271705 [0.776033,0.698512] f_measure 0.735825137947183 [0.768235,0.695988] f_measure 0.7440851284427679 [0.780854,0.698891] f_measure 0.7170065231048117 [0.747764,0.679303] f_measure 0.7530978527628257 [0.784038,0.71517] f_measure 0.7391559466977122 [0.767025,0.704992] kappa 0.49797195061477245 kappa 0.47065986756983025 kappa 0.4936481425245471 kappa 0.4701689176287886 kappa 0.47561705215188593 kappa 0.46478265285395076 kappa 0.4813378574890934 kappa 0.4272551263347993 kappa 0.4998702644246909 kappa 0.4721549111765248 kb_relative_information_score 0.002736425912380664 kb_relative_information_score 0.0008899246578923747 kb_relative_information_score 0.0020947020033302843 kb_relative_information_score 0.003870738708674921 kb_relative_information_score 0.003732950144710681 kb_relative_information_score 0.0014684612377220624 kb_relative_information_score 0.004477795965998398 kb_relative_information_score 0.002130187980756443 kb_relative_information_score 0.0020633185327492715 kb_relative_information_score 0.0013602256211715782 mean_absolute_error 0.4932039872430915 mean_absolute_error 0.4939580821047257 mean_absolute_error 0.4934843950463545 mean_absolute_error 0.4928136557488836 mean_absolute_error 0.49282857857641243 mean_absolute_error 0.4937158331283914 mean_absolute_error 0.49259419153232925 mean_absolute_error 0.49351647432235024 mean_absolute_error 0.49359138576818207 mean_absolute_error 0.4938252313202292 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 0.7532364704507224 [0.758192,0.747145] precision 0.7388862569447434 [0.751152,0.72381] precision 0.7497579052389388 [0.765882,0.729938] precision 0.7398375373248383 [0.744681,0.733884] precision 0.7425554489485128 [0.74692,0.73719] precision 0.7362013400957775 [0.74714,0.722756] precision 0.7464304131534747 [0.745595,0.747458] precision 0.7168589718921731 [0.735915,0.693498] precision 0.7538492476691055 [0.759954,0.746365] precision 0.739041559242625 [0.756184,0.718028] predictive_accuracy 0.7536715620827771 predictive_accuracy 0.739652870493992 predictive_accuracy 0.7503337783711614 predictive_accuracy 0.7403204272363151 predictive_accuracy 0.7429906542056075 predictive_accuracy 0.7369826435246997 predictive_accuracy 0.7463284379172229 predictive_accuracy 0.7176234979973297 predictive_accuracy 0.7543391188251002 predictive_accuracy 0.739652870493992 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 0.9969013852550208 relative_absolute_error 0.9984256191047488 relative_absolute_error 0.9974681668195247 relative_absolute_error 0.9961124175715687 relative_absolute_error 0.9961425807247877 relative_absolute_error 0.9979359670615159 relative_absolute_error 0.9956688198165711 relative_absolute_error 0.9973952118769853 relative_absolute_error 0.997546607668767 relative_absolute_error 0.9980192087795017 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 0.49371286186472213 root_mean_squared_error 0.49431135170199164 root_mean_squared_error 0.49391823847279154 root_mean_squared_error 0.4933276308191546 root_mean_squared_error 0.49341196325254993 root_mean_squared_error 0.49412235802174853 root_mean_squared_error 0.4931352941090243 root_mean_squared_error 0.4939832564303845 root_mean_squared_error 0.49404688728927765 root_mean_squared_error 0.4942258714104818 root_relative_squared_error 0.992685222450708 root_relative_squared_error 0.9938885778079097 root_relative_squared_error 0.9930981635337041 root_relative_squared_error 0.9919106565122802 root_relative_squared_error 0.9920802197683166 root_relative_squared_error 0.9935085771070868 root_relative_squared_error 0.9915239341385506 root_relative_squared_error 0.9930916942210715 root_relative_squared_error 0.9932196161225536 root_relative_squared_error 0.9935794413632911 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 0.7469481436642453 [0.812349,0.681548] unweighted_recall 0.7339588377723971 [0.789346,0.678571] unweighted_recall 0.7460023204196933 [0.788136,0.703869] unweighted_recall 0.7328995157384988 [0.805085,0.660714] unweighted_recall 0.7355982647296206 [0.807506,0.66369] unweighted_recall 0.7308439265536724 [0.790557,0.671131] unweighted_recall 0.7379312953995157 [0.819613,0.65625] unweighted_recall 0.7128380386329867 [0.76,0.665676] unweighted_recall 0.7480877121887524 [0.809697,0.686478] unweighted_recall 0.7353019046332567 [0.778182,0.692422] usercpu_time_millis 1734.375 usercpu_time_millis 1671.875 usercpu_time_millis 1718.75 usercpu_time_millis 2109.375 usercpu_time_millis 1671.875 usercpu_time_millis 1703.125 usercpu_time_millis 1671.875 usercpu_time_millis 1687.5 usercpu_time_millis 1734.375 usercpu_time_millis 1718.75 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 1703.125 usercpu_time_millis_training 1656.25 usercpu_time_millis_training 1687.5 usercpu_time_millis_training 2093.75 usercpu_time_millis_training 1640.625 usercpu_time_millis_training 1671.875 usercpu_time_millis_training 1640.625 usercpu_time_millis_training 1656.25 usercpu_time_millis_training 1703.125 usercpu_time_millis_training 1687.5 wall_clock_time_millis 1735.0068092346191 wall_clock_time_millis 1702.0246982574463 wall_clock_time_millis 1724.013328552246 wall_clock_time_millis 2127.7806758880615 wall_clock_time_millis 1723.0112552642822 wall_clock_time_millis 1709.9974155426025 wall_clock_time_millis 1734.985113143921 wall_clock_time_millis 1707.0412635803223 wall_clock_time_millis 1732.0115566253662 wall_clock_time_millis 1741.001844406128 wall_clock_time_millis_testing 27.985095977783203 wall_clock_time_millis_testing 25.984525680541992 wall_clock_time_millis_testing 25.986194610595703 wall_clock_time_millis_testing 26.98230743408203 wall_clock_time_millis_testing 31.958580017089844 wall_clock_time_millis_testing 27.962446212768555 wall_clock_time_millis_testing 25.984764099121094 wall_clock_time_millis_testing 26.984453201293945 wall_clock_time_millis_testing 26.964902877807617 wall_clock_time_millis_testing 23.9870548248291 wall_clock_time_millis_training 1707.021713256836 wall_clock_time_millis_training 1676.0401725769043 wall_clock_time_millis_training 1698.0271339416504 wall_clock_time_millis_training 2100.7983684539795 wall_clock_time_millis_training 1691.0526752471924 wall_clock_time_millis_training 1682.034969329834 wall_clock_time_millis_training 1709.0003490447998 wall_clock_time_millis_training 1680.0568103790283 wall_clock_time_millis_training 1705.0466537475586 wall_clock_time_millis_training 1717.0147895812988 weighted_recall 0.7536715620827771 [0.812349,0.681548] weighted_recall 0.739652870493992 [0.789346,0.678571] weighted_recall 0.7503337783711616 [0.788136,0.703869] weighted_recall 0.7403204272363151 [0.805085,0.660714] weighted_recall 0.7429906542056075 [0.807506,0.66369] weighted_recall 0.7369826435246996 [0.790557,0.671131] weighted_recall 0.7463284379172229 [0.819613,0.65625] weighted_recall 0.7176234979973297 [0.76,0.665676] weighted_recall 0.7543391188251002 [0.809697,0.686478] weighted_recall 0.739652870493992 [0.778182,0.692422]