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 | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.988975 |
xgboost | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.970494 |
wbm | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.979931 |
gru_d | Cerebrovascular Disease | binary | Medical conditions | age_group | 30-39 | -1 | 0.991577 |
linear | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.996296 |
multirocket | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.984848 |
lsm2 | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.989583 |
toto | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.933333 |
chronos2 | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.995984 |
xgboost | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.992754 |
wbm | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.996337 |
gru_d | Congenital Heart | binary | Medical conditions | age_group | 30-39 | -1 | 0.983333 |
linear | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.977778 |
multirocket | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.987179 |
lsm2 | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.977778 |
toto | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.986842 |
chronos2 | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.972973 |
xgboost | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.987654 |
wbm | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.988235 |
gru_d | Diabetes | binary | Medical conditions | age_group | 30-39 | -1 | 0.981132 |
linear | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.878784 |
multirocket | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.739501 |
lsm2 | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.754996 |
toto | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.839505 |
chronos2 | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.818056 |
xgboost | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.713697 |
wbm | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.863078 |
gru_d | GoSleepTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.853486 |
linear | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.662694 |
multirocket | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.721919 |
lsm2 | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.813767 |
toto | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.813798 |
chronos2 | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.004639 |
xgboost | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.946518 |
wbm | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.61528 |
gru_d | Hdl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.964663 |
linear | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.994764 |
multirocket | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.994286 |
lsm2 | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.994792 |
toto | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.995516 |
chronos2 | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.99635 |
xgboost | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.987342 |
wbm | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.995122 |
gru_d | Heart Failure or CHF | binary | Medical conditions | age_group | 30-39 | -1 | 0.994681 |
linear | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.874809 |
multirocket | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.838899 |
lsm2 | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.816879 |
toto | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.804973 |
chronos2 | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.756307 |
xgboost | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.692519 |
wbm | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.860346 |
gru_d | Hypertension | binary | Medical conditions | age_group | 30-39 | -1 | 0.856837 |
linear | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.030008 |
multirocket | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.243598 |
lsm2 | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.148754 |
toto | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.805976 |
chronos2 | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.206322 |
xgboost | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.023692 |
wbm | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.284478 |
gru_d | Ldl | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.243547 |
linear | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.96 |
multirocket | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.985294 |
lsm2 | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.95 |
toto | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.995169 |
chronos2 | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.95 |
xgboost | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.985915 |
wbm | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.928571 |
gru_d | PH | binary | Medical conditions | age_group | 30-39 | -1 | 0.986301 |
linear | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.90244 |
multirocket | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.897421 |
lsm2 | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.822172 |
toto | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.088454 |
chronos2 | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.047109 |
xgboost | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.963374 |
wbm | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.881478 |
gru_d | SystolicBloodPressure | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.81432 |
linear | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.000153 |
multirocket | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.127404 |
lsm2 | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.015441 |
toto | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.994157 |
chronos2 | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.886275 |
xgboost | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.818725 |
wbm | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.053601 |
gru_d | TotalCholesterol | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 1.153759 |
linear | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.847483 |
multirocket | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.738408 |
lsm2 | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.71908 |
toto | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.843057 |
chronos2 | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.81581 |
xgboost | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.718033 |
wbm | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.856629 |
gru_d | WakeUpTime_categories | ordinal | Sleep and lifestyle | age_group | 30-39 | -1 | 0.785769 |
linear | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.577689 |
multirocket | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.502514 |
lsm2 | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.356229 |
toto | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.505877 |
chronos2 | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.515404 |
xgboost | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.438922 |
wbm | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.464586 |
gru_d | WeightKilograms | regression | Body metrics and biomarkers | age_group | 30-39 | -1 | 0.543076 |
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