Table 2 Specific data for 4 subjects in the training set
From: Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Variables | Physical examiner number | |||
|---|---|---|---|---|
3271 | 6506 | 25,392 | 10,557 | |
Gender (0 = female, 1 = male) | 0 | 1 | 1 | 0 |
Age (years) | 26 | 61 | 45 | 59 |
eosinophil percentage | 8.3 | 3.3 | 2.6 | 1.6 |
erythrocyte distribution width coefficient of variation | 12.4 | 14.4 | 12.9 | 12.2 |
creatinine (μmoI/L) | 79 | 52 | 54 | 72 |
uric acid (μmoI/L) | 386 | 260 | 304 | 373 |
glutamyl transpeptidase (U/L) | 32 | 44 | 16 | 48 |
alkaline phosphatase (U/L) | 48 | 115 | 56 | 69 |
previous fatty liver (0 = no, 1 = yes) | 0 | 1 | 1 | 1 |
previous hypertension (0 = no, 1 = yes) | 0 | 0 | 0 | 1 |
previous diabetes (0 = no, 1 = yes) | 0 | 0 | 0 | 0 |
WC (cm) | 72 | 91 | 84 | 90 |
SBP (mmHg) | 139 | 154 | 122 | 169 |
DBP (mmHg) | 71 | 85 | 83 | 109 |
FPG (mmol/L) | 4.4 | 5.13 | 5.18 | 6.38 |
TC (mmol/L) | 3.76 | 5.16 | 5.19 | 6.22 |
TG (mmol/L) | 0.77 | 2.49 | 1.79 | 2.98 |
HDL-C (mmol/L) | 1.54 | 1.22 | 1.67 | 1.33 |
MetS (0 = no, 1 = yes) | 0 | 1 | 0 | 1 |