Research Article

Use of Machine Learning and Routine Laboratory Tests for Diabetes Mellitus Screening

Table 5

Performance of the regression models using healthy and no healthy (HN) and no diabetes and diabetes (ND) datasets. Percentual (%) values of sensitivity (SN), specificity (SP), precision (PR), negative precision (NPR), and F1 score (F1).

Healthy and no healthy (%)No diabetes and diabetes (%)
KNNSVMNBRFANNKNNSVMNBRFANN

SN71.973.176.763.567.551.367.076.767.066.3
SP86.680.977.185.075.299.298.077.198.097.5
PR76.180.378.283.183.487.085.078.284.684.8
NPV79.772.374.368.475.494.394.074.393.994.6
F174.076.577.472.074.664.574.977.474.874.4