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_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.967621 |
multirocket | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.743288 |
lsm2 | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.790456 |
toto | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.922859 |
chronos2 | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.852804 |
xgboost | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.966189 |
wbm | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.945471 |
gru_d | feel_worthwhile3 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.891747 |
linear | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.979598 |
multirocket | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.814692 |
lsm2 | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.871697 |
toto | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.907392 |
chronos2 | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.953887 |
xgboost | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 1.068215 |
wbm | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.817713 |
gru_d | feel_worthwhile4 | ordinal | Mental well-being | age_group | 18-29 | -1 | 1.041654 |
linear | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 1.74829 |
multirocket | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 0.318604 |
lsm2 | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 1.987366 |
toto | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 1.075986 |
chronos2 | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 0.099603 |
xgboost | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 0.593811 |
wbm | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 1.748293 |
gru_d | framingham_risk | regression | Medical conditions | age_group | 18-29 | -1 | 0.521641 |
linear | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.901778 |
multirocket | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.916039 |
lsm2 | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.892814 |
toto | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.86785 |
chronos2 | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.992733 |
xgboost | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 1.003786 |
wbm | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 0.88153 |
gru_d | satisfiedwith_life | ordinal | Mental well-being | age_group | 18-29 | -1 | 1.035513 |
linear | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.909454 |
multirocket | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.905698 |
lsm2 | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.800728 |
toto | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.87304 |
chronos2 | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.77345 |
xgboost | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.886782 |
wbm | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.907997 |
gru_d | sleep_diagnosis1 | binary | Medical conditions | age_group | 18-29 | -1 | 0.88701 |
linear | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 1.006654 |
multirocket | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.895325 |
lsm2 | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.943106 |
toto | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.98684 |
chronos2 | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 1 |
xgboost | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 1.051364 |
wbm | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 1.020151 |
gru_d | sleep_time_categories | ordinal | Sleep and lifestyle | age_group | 18-29 | -1 | 0.957194 |
linear | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.936838 |
multirocket | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.85582 |
lsm2 | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.879654 |
toto | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.933308 |
chronos2 | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.950484 |
xgboost | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.905447 |
wbm | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.964967 |
gru_d | vigorous_act | regression | Sleep and lifestyle | age_group | 18-29 | -1 | 0.827969 |
linear | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.169505 |
multirocket | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.123173 |
lsm2 | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.088861 |
toto | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.123471 |
chronos2 | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.123656 |
xgboost | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.135598 |
wbm | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.157223 |
gru_d | work | binary | Sleep and lifestyle | age_group | 18-29 | -1 | 0.175603 |
linear | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.652906 |
multirocket | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.65036 |
lsm2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.432568 |
toto | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.018417 |
chronos2 | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.018255 |
xgboost | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.508909 |
wbm | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.553344 |
gru_d | BMI_categories | ordinal | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.61806 |
linear | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.585527 |
multirocket | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.475955 |
lsm2 | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.281808 |
toto | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.673478 |
chronos2 | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.699798 |
xgboost | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.344597 |
wbm | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.421515 |
gru_d | BMI_values | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.490117 |
linear | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.081682 |
multirocket | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.061289 |
lsm2 | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.04349 |
toto | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.106355 |
chronos2 | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.092089 |
xgboost | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.04271 |
wbm | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.059708 |
gru_d | BiologicalSex | binary | Demographics | age_group | 30-39 | -1 | 0.068433 |
linear | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.991078 |
multirocket | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.989393 |
lsm2 | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.987786 |
toto | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.983832 |
chronos2 | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.971907 |
xgboost | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.98598 |
wbm | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.987397 |
gru_d | CAD | binary | Medical conditions | age_group | 30-39 | -1 | 0.982553 |
linear | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.953829 |
multirocket | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.991649 |
lsm2 | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.986683 |
toto | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.987858 |
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