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 ⌀ |
|---|---|---|---|---|---|---|---|
linear | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.932129 |
multirocket | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.884376 |
lsm2 | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.889595 |
toto | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.937375 |
chronos2 | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.929651 |
xgboost | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.944521 |
wbm | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.945114 |
gru_d | feel_worthwhile4 | ordinal | Mental well-being | all | all | -1 | 0.905321 |
linear | framingham_risk | regression | Medical conditions | all | all | -1 | 0.861118 |
multirocket | framingham_risk | regression | Medical conditions | all | all | -1 | 0.752847 |
lsm2 | framingham_risk | regression | Medical conditions | all | all | -1 | 0.728459 |
toto | framingham_risk | regression | Medical conditions | all | all | -1 | 0.810143 |
chronos2 | framingham_risk | regression | Medical conditions | all | all | -1 | 0.934001 |
xgboost | framingham_risk | regression | Medical conditions | all | all | -1 | 0.681642 |
wbm | framingham_risk | regression | Medical conditions | all | all | -1 | 0.82725 |
gru_d | framingham_risk | regression | Medical conditions | all | all | -1 | 0.796833 |
linear | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.779026 |
multirocket | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.840613 |
lsm2 | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.830826 |
toto | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.940687 |
chronos2 | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.924863 |
xgboost | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.920393 |
wbm | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.852158 |
gru_d | satisfiedwith_life | ordinal | Mental well-being | all | all | -1 | 0.883754 |
linear | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.733214 |
multirocket | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.754494 |
lsm2 | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.656967 |
toto | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.763052 |
chronos2 | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.752711 |
xgboost | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.718953 |
wbm | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.728166 |
gru_d | sleep_diagnosis1 | binary | Medical conditions | all | all | -1 | 0.739984 |
linear | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.940665 |
multirocket | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.971293 |
lsm2 | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.929945 |
toto | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 1.032408 |
chronos2 | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.964702 |
xgboost | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.981768 |
wbm | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.918981 |
gru_d | sleep_time_categories | ordinal | Sleep and lifestyle | all | all | -1 | 0.983434 |
linear | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.786602 |
multirocket | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.777668 |
lsm2 | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.778223 |
toto | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.922226 |
chronos2 | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.90358 |
xgboost | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.813995 |
wbm | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.806069 |
gru_d | vigorous_act | regression | Sleep and lifestyle | all | all | -1 | 0.882101 |
linear | work | binary | Sleep and lifestyle | all | all | -1 | 0.128934 |
multirocket | work | binary | Sleep and lifestyle | all | all | -1 | 0.106224 |
lsm2 | work | binary | Sleep and lifestyle | all | all | -1 | 0.080091 |
toto | work | binary | Sleep and lifestyle | all | all | -1 | 0.115182 |
chronos2 | work | binary | Sleep and lifestyle | all | all | -1 | 0.107825 |
xgboost | work | binary | Sleep and lifestyle | all | all | -1 | 0.098815 |
wbm | work | binary | Sleep and lifestyle | all | all | -1 | 0.142403 |
gru_d | work | binary | Sleep and lifestyle | all | all | -1 | 0.128937 |
linear | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.723266 |
multirocket | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.671062 |
lsm2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.53792 |
toto | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.92821 |
chronos2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.969234 |
xgboost | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.608672 |
wbm | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.633915 |
gru_d | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.658045 |
linear | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.691961 |
multirocket | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.544469 |
lsm2 | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.391912 |
toto | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.958707 |
chronos2 | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 1.017116 |
xgboost | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.626946 |
wbm | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.584073 |
gru_d | BMI_values | regression | Body metrics and biomarkers | age_group | 18-29 | -1 | 0.640911 |
linear | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.108554 |
multirocket | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.0927 |
lsm2 | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.082241 |
toto | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.134973 |
chronos2 | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.132352 |
xgboost | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.079276 |
wbm | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.090496 |
gru_d | BiologicalSex | binary | Demographics | age_group | 18-29 | -1 | 0.089941 |
linear | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.937285 |
multirocket | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.9148 |
lsm2 | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.622396 |
toto | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.737562 |
chronos2 | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.940565 |
xgboost | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.864942 |
wbm | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.55843 |
gru_d | CAD | binary | Medical conditions | age_group | 18-29 | -1 | 0.894014 |
linear | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.988816 |
multirocket | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.98661 |
lsm2 | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.988421 |
toto | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.981669 |
chronos2 | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.992091 |
xgboost | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.943333 |
wbm | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.985244 |
gru_d | Congenital Heart | binary | Medical conditions | age_group | 18-29 | -1 | 0.984786 |
linear | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.941677 |
multirocket | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.836087 |
lsm2 | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.823252 |
toto | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.83419 |
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