The model’s predictive capability (normalized importance) revealed that ACCS is the best model (100%) for the prediction of T2DM, followed by G-CSF (75.5%) and SMAD4 (69.6%). The gene discussed is CSF3; the disease is type 2 diabetes mellitus.