method stringclasses 23
values | task stringclasses 32
values | task_type stringclasses 3
values | domain stringclasses 5
values | subgroup_attr stringclasses 3
values | subgroup_value stringclasses 9
values | draw int64 -1 999 ⌀ | E float32 -0 10.4k ⌀ |
|---|---|---|---|---|---|---|---|
chronos2 | work | binary | Sleep and lifestyle | age_group | 30-39 | -1 | 0.06702 |
xgboost | work | binary | Sleep and lifestyle | age_group | 30-39 | -1 | 0.068408 |
wbm | work | binary | Sleep and lifestyle | age_group | 30-39 | -1 | 0.087974 |
gru_d | work | binary | Sleep and lifestyle | age_group | 30-39 | -1 | 0.061161 |
linear | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.995349 |
multirocket | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.982456 |
lsm2 | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.956522 |
toto | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.992754 |
chronos2 | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.9 |
xgboost | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.9375 |
wbm | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.995283 |
gru_d | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 40-49 | -1 | 0.975 |
linear | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.71972 |
multirocket | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.61378 |
lsm2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.416985 |
toto | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.887503 |
chronos2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.944564 |
xgboost | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.540045 |
wbm | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.667671 |
gru_d | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.544557 |
linear | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.583938 |
multirocket | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.505682 |
lsm2 | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.309354 |
toto | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.851333 |
chronos2 | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.893708 |
xgboost | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.407384 |
wbm | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.484463 |
gru_d | BMI_values | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.468461 |
linear | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.125052 |
multirocket | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.079701 |
lsm2 | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.0606 |
toto | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.15399 |
chronos2 | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.14441 |
xgboost | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.050825 |
wbm | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.090697 |
gru_d | BiologicalSex | binary | Demographics | age_group | 40-49 | -1 | 0.096875 |
linear | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.962241 |
multirocket | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.909371 |
lsm2 | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.883881 |
toto | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.952214 |
chronos2 | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.91877 |
xgboost | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.955988 |
wbm | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.958981 |
gru_d | CAD | binary | Medical conditions | age_group | 40-49 | -1 | 0.895825 |
linear | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.937092 |
multirocket | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.965729 |
lsm2 | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.991223 |
toto | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.969524 |
chronos2 | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.983347 |
xgboost | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.970726 |
wbm | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.991423 |
gru_d | Cerebrovascular Disease | binary | Medical conditions | age_group | 40-49 | -1 | 0.934938 |
linear | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.990463 |
multirocket | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.956162 |
lsm2 | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.937451 |
toto | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.989276 |
chronos2 | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.980159 |
xgboost | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.978241 |
wbm | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.990496 |
gru_d | Congenital Heart | binary | Medical conditions | age_group | 40-49 | -1 | 0.987361 |
linear | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.781536 |
multirocket | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.905826 |
lsm2 | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.826475 |
toto | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.915023 |
chronos2 | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.952773 |
xgboost | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.910503 |
wbm | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.889542 |
gru_d | Diabetes | binary | Medical conditions | age_group | 40-49 | -1 | 0.896822 |
linear | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.861134 |
multirocket | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.803506 |
lsm2 | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.799056 |
toto | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.936669 |
chronos2 | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.941139 |
xgboost | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.742549 |
wbm | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.89141 |
gru_d | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.889018 |
linear | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.836267 |
multirocket | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 1.011046 |
lsm2 | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.883589 |
toto | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.953198 |
chronos2 | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 1.072154 |
xgboost | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.927754 |
wbm | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.825626 |
gru_d | Hdl | regression | Body metrics and biomarkers | age_group | 40-49 | -1 | 0.927797 |
linear | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.916667 |
multirocket | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.972973 |
lsm2 | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.991379 |
toto | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.967742 |
chronos2 | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.992126 |
xgboost | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.984127 |
wbm | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.947368 |
gru_d | Heart Failure or CHF | binary | Medical conditions | age_group | 40-49 | -1 | 0.987805 |
linear | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.643191 |
multirocket | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.623563 |
lsm2 | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.781927 |
toto | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.71747 |
chronos2 | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.79089 |
xgboost | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.68418 |
wbm | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.698581 |
gru_d | Hypertension | binary | Medical conditions | age_group | 40-49 | -1 | 0.741875 |
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