Probably the most surprising outcome of our experiment is the asymmetry that we observe: Joint modeling achieves respective improvements over individual modeling for numeric attributes, but not for categorical attributes.
the prediction of numeric attributes profits from the availability of categorical attributes, but not vice versa.