By systematically iterating through top-ranked features based on F1-score, we selected the top 26 not the top 4 features to avoid overfitting, the features are: ’History of high glucose level/diabetes’, ’HbA1C %’, ’Triglyceride’, ’Cholesterol’, ’Fibriogen’, ’Magnesium’, ’family history of Diabetes’, ’Homocysteine Plasma LC-MSMS’, ’HOMA-IR- (405 Scale)’, ’HOMA-IR- (22.5 Scale)’, ’TSH’, ’Insulin’, ’NT pro-BNP’, ’ALT’, ’Monocyte Auto ’, ’MCHC’, ’Urea’, ’Alk Phos’, ’FT4’, ’C-Peptide’, ’Chloride’, ’MCH’, ’Glucose’, ’Potassium’, ’Uric Acid’, and ’Vit B12’. Here, GPT is linked to diabetes mellitus.