We applied Recursive Feature Elimination with Cross-Validation (RFECV) and feature importance analysis for feature selection, which identified five key features contributing significantly to predicting diabetes stages: three molecular markers—miR342, NFKB1, and miR636—and two biochemical markers, namely the albumin-to-creatinine ratio and HDLc. The gene discussed is ALB; the disease is diabetes mellitus.