In epidemiological studies, accurate predictions of disease spread, mortality rates, and other health outcomes are crucial for effective intervention and policy-making. RMSE provides a single value that represents the model's predictive accuracy, which is essential for:
- Comparing Models: Researchers can compare different models using RMSE to determine which one provides more accurate predictions. - Model Validation: Validating the model's performance on unseen data ensures its reliability. - Resource Allocation: Accurate predictions help in efficiently allocating healthcare resources.
