In the field of epidemiology, grid search is a systematic method used to identify optimal parameters or configurations for models and algorithms. It involves evaluating a predefined set of parameter combinations to determine the best-performing model. This technique is particularly useful in predictive modeling and machine learning tasks, where selecting the right parameters can significantly affect the model's accuracy and reliability.
