Grid Search for ARIMA Model

This diagram represents the process of grid search for hyperparameter tuning in an ARIMA model. The data is divided into training, validation, and test sets. The ARIMA model is trained on different combinations of P, D, and Q values, and the model with the lowest Mean Absolute Error (MAE) is selected.