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
age
regression
Demographics
age_group
30-39
-1
0.89342
multirocket
age
regression
Demographics
age_group
30-39
-1
0.893281
lsm2
age
regression
Demographics
age_group
30-39
-1
0.773739
toto
age
regression
Demographics
age_group
30-39
-1
0.938246
chronos2
age
regression
Demographics
age_group
30-39
-1
0.861077
xgboost
age
regression
Demographics
age_group
30-39
-1
0.863733
wbm
age
regression
Demographics
age_group
30-39
-1
0.892133
gru_d
age
regression
Demographics
age_group
30-39
-1
0.912211
linear
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
1.049362
multirocket
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.99505
lsm2
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.81123
toto
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
1.043344
chronos2
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.994274
xgboost
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.888173
wbm
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.929745
gru_d
blood_pressure_categories
ordinal
Body metrics and biomarkers
age_group
30-39
-1
0.777453
linear
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.822924
multirocket
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.979122
lsm2
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.971288
toto
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.967132
chronos2
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.965625
xgboost
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.946394
wbm
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.936453
gru_d
cardiovascular_disease
binary
Medical conditions
age_group
30-39
-1
0.969247
linear
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.881839
multirocket
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.810746
lsm2
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.930113
toto
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
1.086425
chronos2
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.997489
xgboost
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.879064
wbm
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.991585
gru_d
feel_worthwhile1
ordinal
Mental well-being
age_group
30-39
-1
0.936003
linear
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.917514
multirocket
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.922781
lsm2
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.950609
toto
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.957678
chronos2
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
1.038361
xgboost
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
1.030361
wbm
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.939403
gru_d
feel_worthwhile2
ordinal
Mental well-being
age_group
30-39
-1
0.949596
linear
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
1.014157
multirocket
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
0.899495
lsm2
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
0.909967
toto
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
0.993331
chronos2
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
1.011511
xgboost
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
0.929683
wbm
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
1.006885
gru_d
feel_worthwhile3
ordinal
Mental well-being
age_group
30-39
-1
0.95574
linear
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
1.05917
multirocket
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
0.834195
lsm2
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
0.947394
toto
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
1.001951
chronos2
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
0.948125
xgboost
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
0.950039
wbm
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
1.040396
gru_d
feel_worthwhile4
ordinal
Mental well-being
age_group
30-39
-1
0.885801
linear
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.019995
multirocket
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.170054
lsm2
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.079324
toto
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.338653
chronos2
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.13579
xgboost
framingham_risk
regression
Medical conditions
age_group
30-39
-1
0.968736
wbm
framingham_risk
regression
Medical conditions
age_group
30-39
-1
0.853583
gru_d
framingham_risk
regression
Medical conditions
age_group
30-39
-1
1.129492
linear
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.833175
multirocket
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.880635
lsm2
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.92775
toto
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
1.042353
chronos2
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
1.004881
xgboost
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.978127
wbm
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.855603
gru_d
satisfiedwith_life
ordinal
Mental well-being
age_group
30-39
-1
0.909804
linear
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.711871
multirocket
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.749887
lsm2
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.639218
toto
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.780221
chronos2
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.766504
xgboost
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.707069
wbm
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.635803
gru_d
sleep_diagnosis1
binary
Medical conditions
age_group
30-39
-1
0.765286
linear
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
0.801092
multirocket
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
1.072935
lsm2
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
0.845891
toto
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
1.012971
chronos2
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
0.897939
xgboost
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
1.052582
wbm
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
0.82179
gru_d
sleep_time_categories
ordinal
Sleep and lifestyle
age_group
30-39
-1
0.939438
linear
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.726715
multirocket
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.695869
lsm2
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.732221
toto
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.929812
chronos2
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.930271
xgboost
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.780222
wbm
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.726859
gru_d
vigorous_act
regression
Sleep and lifestyle
age_group
30-39
-1
0.973044
linear
work
binary
Sleep and lifestyle
age_group
30-39
-1
0.076337
multirocket
work
binary
Sleep and lifestyle
age_group
30-39
-1
0.077602
lsm2
work
binary
Sleep and lifestyle
age_group
30-39
-1
0.054889
toto
work
binary
Sleep and lifestyle
age_group
30-39
-1
0.083189