Grid Search for ARIMA Model

This diagram represents the grid search process for hyperparameter tuning of an ARIMA model. The model is trained on a rolling window basis, and the Mean Absolute Error (MAE) is calculated for each fold. The hyperparameters that yield the lowest average MAE are selected as the best parameters.