To improve RMSE in epidemiological models, consider the following strategies:
- Data Quality: Ensure high-quality, accurate data for model training. - Feature Selection: Select relevant features that significantly impact the health outcome. - Model Complexity: Balance model complexity to avoid overfitting or underfitting. - Cross-Validation: Use cross-validation techniques to validate the model on different subsets of the data.
