Combining the Correlation Coefficient (CC) with Jensen-Shannon Divergence (JSD) might offer a more comprehensive way to assess not only how well the model fits, but also how accurately it captures the overall distribution of predictions. This combination could provide users with deeper insights into both fit and distribution, particularly when dealing with complex datasets where simple accuracy metrics fall short.
It would be great to have this as an option. Thanks
