How Can MSE be Used to Improve Epidemiological Models?
Researchers can use MSE to iteratively refine their models. By adjusting the parameters and structure of a model to minimize the MSE, they can enhance its predictive accuracy. This process involves techniques like cross-validation, where the data is split into training and testing sets to ensure that the model performs well on unseen data. Additionally, regularization techniques can be applied to prevent overfitting, which also contributes to a lower MSE.
