For this study, the following metrics are implemented, including both average errors and variability of individual predictions, to evaluate the performance of the model. These metrics are RMSE (Eq. 12) which provides a measure of the magnitude of prediction errors, MAPE (Eq. 13) which measures the average magnitude of errors as a percentage, medAE (Eq. 14) to capture the median error, reducing the influence of outliers, and mean absolute error (MAE) (Eq. 15) which represents the mean absolute differences. |yi -ŷi| (15)