Traditionally, these models provide point estimates and are evaluated using metrics like Mean Absolute Error (MAE), Root-Mean-Square Error (RMSE) and Pearson's r correlation coefficient.
in practice QE models are built for use in decision making in large workflows involving Machine Translation (MT).