We applied various machine learning techniques to visualize and investigate predictive variables leading to metabolic syndrome, which revealed that obesity, serum GOT, serum GPT, CAP score, and HbA1c are the most important predictive variables. The gene discussed is GPT; the disease is obesity due to melanocortin 4 receptor deficiency.