Table 3 Random forest feature importance (top 15 variables)
(a) Random-forest feature importance of prediction model for diabetes mellitus | ||
Rank | Variables | Variable importance |
1 | HbA1c | 0.26 |
2 | Fasting glucose | 0.18 |
3 | LDL | 0.05 |
4 | Total cholesterol | 0.05 |
5 | HDL | 0.03 |
6 | Waist circumference | 0.03 |
7 | DBP | 0.03 |
8 | Triglyceride | 0.03 |
9 | BMI at enrollment | 0.03 |
10 | SBP | 0.02 |
11 | Age at enrollment | 0.02 |
12 | Age at menopause | 0.02 |
13 | Age at last delivery | 0.02 |
14 | Age at first delivery | 0.02 |
15 | Total breastfeeding duration | 0.02 |
(b) Random-forest feature importance of prediction model for HbA1c | ||
Rank | Variables | Variable importance |
1 | Diabetes mellitus | 2757 |
2 | BMI at enrollment | 543 |
3 | Age at enrollment | 350 |
4 | Age at menopause | 307 |
5 | Age at last delivery | 275 |
6 | Frequency of alcohol consumption | 269 |
7 | Age at menarche | 255 |
8 | Age at first delivery | 236 |
9 | Total breastfeeding duration | 229 |
10 | Occupation | 217 |
11 | Gravidity | 202 |
12 | Average breastfeeding duration | 179 |
13 | Household income | 169 |
14 | Stress awareness | 164 |
15 | Breastfeeding duration group | 150 |