CRP and Obesity: Figure 16 illustrates the prediction formation process for index 208 using a SHAP-generated waterfall plot. In this case, CRP, with a feature value of 0, has contributed the most to the prediction with a SHAP value of −0.12. Additionally, features such as Vitamin D (−0.08), AAST (−0.06), Glucose (−0.04), and Obesity (−0.03), along with other contributing features, have all exhibited negative SHAP values. Starting from the base value E[f(x)]=0.506, these cumulative negative contributions have led to a final output of f(x)=0.125, which is below the classification threshold of 0.5.