Mean Squared Error (MSE) is a statistical measure used to evaluate the accuracy of a model. Specifically, it measures the average of the squares of the errors, which are the differences between the actual and predicted values. In the context of epidemiology, MSE can help quantify the discrepancy between observed data and the values predicted by a model, such as the number of cases or the spread of a disease.
