Performance of our forecasting tool with respect to a naïve model.

The first data column shows the season average WIS score of our model divided by the same score of the naïve model. The second data column shows the season sMAPE score of our model divided by the same score of the naïve model. For both these columns, a ratio smaller than 1 means that our model had better performance than the naïve model. The third data column shows the absolute 95% coverage error of our forecasting tool subtracted by the same score of the naïve model. For this column, a negative value means that our model performed better than the naïve in terms of coverage. Cells with a green background represent those where our forecasting tool performs better the naïve model; for red cells the opposite is true.