Table 2.

The number of variables for each of the models.

Model	Number of Variables	Variables
Logistic regression	7	Gender–age–Fasting blood glucose–Triglyceride–Family history of kidney disease–History of cardiovascular disease–History of myocardial infarction
Naïve Bayes	3	Gender–age–FBG
Support Vector Machine	6	Gender–age–FBG–Family history of kidney disease–History of hypertension–History of myocardial infarction

Note. FBG, fasting blood glucose.