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
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
1.005461
multirocket
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
1.253934
lsm2
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
0.966957
toto
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
0.956116
chronos2
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
0.857999
xgboost
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
1.002632
wbm
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
0.96893
gru_d
Ldl
regression
Body metrics and biomarkers
age_group
40-49
-1
1.10217
linear
PH
binary
Medical conditions
age_group
40-49
-1
0.924342
multirocket
PH
binary
Medical conditions
age_group
40-49
-1
0.45
lsm2
PH
binary
Medical conditions
age_group
40-49
-1
0.92561
toto
PH
binary
Medical conditions
age_group
40-49
-1
0.482143
chronos2
PH
binary
Medical conditions
age_group
40-49
-1
0.87619
xgboost
PH
binary
Medical conditions
age_group
40-49
-1
0.91
wbm
PH
binary
Medical conditions
age_group
40-49
-1
0.981847
gru_d
PH
binary
Medical conditions
age_group
40-49
-1
0.91875
linear
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.8683
multirocket
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.854033
lsm2
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.615975
toto
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.844661
chronos2
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.934783
xgboost
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.867692
wbm
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.76719
gru_d
SystolicBloodPressure
regression
Body metrics and biomarkers
age_group
40-49
-1
0.715058
linear
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.150348
multirocket
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.134197
lsm2
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.070113
toto
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.057635
chronos2
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
0.969016
xgboost
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
0.844553
wbm
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.08134
gru_d
TotalCholesterol
regression
Body metrics and biomarkers
age_group
40-49
-1
1.033552
linear
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.846511
multirocket
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.821996
lsm2
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.738297
toto
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.867685
chronos2
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.913577
xgboost
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.888988
wbm
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.846386
gru_d
WakeUpTime_categories
ordinal
Sleep and lifestyle
age_group
40-49
-1
0.806697
linear
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.596087
multirocket
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.518239
lsm2
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.371434
toto
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.454172
chronos2
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.453672
xgboost
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.448704
wbm
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.497822
gru_d
WeightKilograms
regression
Body metrics and biomarkers
age_group
40-49
-1
0.535224
linear
age
regression
Demographics
age_group
40-49
-1
0.943295
multirocket
age
regression
Demographics
age_group
40-49
-1
0.988115
lsm2
age
regression
Demographics
age_group
40-49
-1
0.923959
toto
age
regression
Demographics
age_group
40-49
-1
0.92746
chronos2
age
regression
Demographics
age_group
40-49
-1
0.962264
xgboost
age
regression
Demographics
age_group
40-49
-1
1.007823
wbm
age
regression
Demographics
age_group
40-49
-1
0.984889
gru_d
age
regression
Demographics
age_group
40-49
-1
0.947645
linear
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.948321
multirocket
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
1.034144
lsm2
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.784014
toto
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.877514
chronos2
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.926028
xgboost
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.892674
wbm
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
1.051499
gru_d
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
40-49
-1
0.657524
linear
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.909982
multirocket
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.684648
lsm2
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.783293
toto
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.814355
chronos2
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.77281
xgboost
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.745957
wbm
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.913319
gru_d
cardiovascular_disease
binary
Medical conditions
age_group
40-49
-1
0.827043
linear
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.928152
multirocket
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.891105
lsm2
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.851919
toto
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.926042
chronos2
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.900464
xgboost
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.791638
wbm
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.902494
gru_d
feel_worthwhile1
ordinal
Mental well-being
age_group
40-49
-1
0.815739
linear
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.859468
multirocket
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.914118
lsm2
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.783135
toto
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
1.013198
chronos2
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.976587
xgboost
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.809156
wbm
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.902189
gru_d
feel_worthwhile2
ordinal
Mental well-being
age_group
40-49
-1
0.840054
linear
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.760252
multirocket
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.884895
lsm2
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.854947
toto
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.871469
chronos2
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.997705
xgboost
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
1.007846
wbm
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.932341
gru_d
feel_worthwhile3
ordinal
Mental well-being
age_group
40-49
-1
0.832407
linear
feel_worthwhile4
ordinal
Mental well-being
age_group
40-49
-1
0.71527
multirocket
feel_worthwhile4
ordinal
Mental well-being
age_group
40-49
-1
0.953149
lsm2
feel_worthwhile4
ordinal
Mental well-being
age_group
40-49
-1
0.820115
toto
feel_worthwhile4
ordinal
Mental well-being
age_group
40-49
-1
0.92978