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 | feel_worthwhile4 | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.820309 |
xgboost | feel_worthwhile4 | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.864927 |
wbm | feel_worthwhile4 | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.814656 |
gru_d | feel_worthwhile4 | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.825757 |
linear | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 0.982382 |
multirocket | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 1.121425 |
lsm2 | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 0.889336 |
toto | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 0.963125 |
chronos2 | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 1.156202 |
xgboost | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 0.977114 |
wbm | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 0.972991 |
gru_d | framingham_risk | regression | Medical conditions | age_group | 40-49 | -1 | 1.018126 |
linear | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.840443 |
multirocket | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.880348 |
lsm2 | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.760214 |
toto | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.961763 |
chronos2 | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.866703 |
xgboost | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.824215 |
wbm | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.886083 |
gru_d | satisfiedwith_life | ordinal | Mental well-being | age_group | 40-49 | -1 | 0.785256 |
linear | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.763832 |
multirocket | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.732303 |
lsm2 | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.674981 |
toto | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.778074 |
chronos2 | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.769574 |
xgboost | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.700866 |
wbm | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.751659 |
gru_d | sleep_diagnosis1 | binary | Medical conditions | age_group | 40-49 | -1 | 0.736906 |
linear | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.972429 |
multirocket | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.928379 |
lsm2 | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.924024 |
toto | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 1.045213 |
chronos2 | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 1.001301 |
xgboost | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 1.032014 |
wbm | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.958381 |
gru_d | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 40-49 | -1 | 0.968281 |
linear | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.85393 |
multirocket | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.904253 |
lsm2 | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.840837 |
toto | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.814411 |
chronos2 | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.822782 |
xgboost | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.806966 |
wbm | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.836476 |
gru_d | vigorous_act | regression | Sleep and lifestyle | age_group | 40-49 | -1 | 0.825438 |
linear | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.06582 |
multirocket | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.043519 |
lsm2 | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.035007 |
toto | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.050777 |
chronos2 | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.063703 |
xgboost | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.030202 |
wbm | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.083806 |
gru_d | work | binary | Sleep and lifestyle | age_group | 40-49 | -1 | 0.051761 |
linear | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.952618 |
multirocket | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.978657 |
lsm2 | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.970906 |
toto | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.977067 |
chronos2 | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.987597 |
xgboost | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.974879 |
wbm | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.958471 |
gru_d | Atrial fibrillation (Afib) | binary | Medical conditions | age_group | 50-59 | -1 | 0.97587 |
linear | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.676171 |
multirocket | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.548862 |
lsm2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.386716 |
toto | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.818647 |
chronos2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.82035 |
xgboost | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.580884 |
wbm | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.559858 |
gru_d | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.443244 |
linear | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.751826 |
multirocket | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.437795 |
lsm2 | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.210561 |
toto | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.749544 |
chronos2 | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.691288 |
xgboost | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.302505 |
wbm | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.531308 |
gru_d | BMI_values | regression | Body metrics and biomarkers | age_group | 50-59 | -1 | 0.394857 |
linear | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.147791 |
multirocket | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.063711 |
lsm2 | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.085024 |
toto | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.176731 |
chronos2 | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.159733 |
xgboost | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.042395 |
wbm | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.115801 |
gru_d | BiologicalSex | binary | Demographics | age_group | 50-59 | -1 | 0.083874 |
linear | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.954433 |
multirocket | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.933177 |
lsm2 | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.944939 |
toto | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.942314 |
chronos2 | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.940534 |
xgboost | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.771996 |
wbm | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.866816 |
gru_d | CAD | binary | Medical conditions | age_group | 50-59 | -1 | 0.937335 |
linear | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.978016 |
multirocket | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.969944 |
lsm2 | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.949538 |
toto | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.949004 |
chronos2 | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.96077 |
xgboost | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.928419 |
wbm | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.973648 |
gru_d | Cerebrovascular Disease | binary | Medical conditions | age_group | 50-59 | -1 | 0.976885 |
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