Root Mean Squared Error (RMSE) is a commonly used metric for evaluating the accuracy of a model’s predictions. In the context of epidemiology, RMSE helps quantify the difference between observed and predicted values of a health outcome. The formula for RMSE is:
RMSE = sqrt((Σ (Observed_i - Predicted_i)²) / N)
Where Σ denotes the summation, Observed_i is the observed data, Predicted_i is the predicted data, and N is the number of observations.
