International Journal of Interdisciplinary Research
Table 6 Count table of permutation feature importances for all measurements and both genders
From: Missing body measurements prediction in fashion industry: a comparative approach
Input feature | Women | Men | ||||||
|---|---|---|---|---|---|---|---|---|
LR | RF | GB | SVR | LR | RF | GB | SVR | |
Height | 7 | 6 | 7 | 5 | 8 | 7 | 5 | 7 |
Weight | 11 | 10 | 9 | 11 | 10 | 9 | 11 | 10 |
Chest/bust girth | 6 | 5 | 6 | 6 | 4 | 4 | 4 | 4 |
Waist girth | 2 | 4 | 4 | 3 | 1 | 2 | 1 | 1 |
Hip girth | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
Inside leg length | 4 | 3 | 4 | 5 | 2 | 2 | 3 | 3 |
Age | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
Shoe size | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_manager | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_student | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_employee | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_inactive | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_laborer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
SPC_retiree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |