Interpretable Machine Learning-Derived Nomogram Model to Predict Population Health Literacy: Cross-Sectional Development and Validation Study

CONCLUSIONS: By using the GBDT, XGBoost, LR, RF, and nomogram models, a predictive model with substantial efficacy was effectively developed and validated for forecasting the HL levels of the population.