The predictive performance of an epidemiological model is evaluated by its ability to accurately predict future events. Cross-validation techniques, such as k-fold cross-validation, are commonly used to assess predictive performance. Metrics such as mean squared error (MSE), mean absolute error (MAE), and R-squared are used to quantify predictive accuracy.
