I have a data set with three binary target variables. For each prediction, I use a dedicated classifier.
However, in order to not overwrite the prediction columns after applying each model, it seems to me that I need to rename those columns (e.g. probability --> probability_TARGET1, prediction --> prediction_TARGET1) before I continue with the next model.
In the flow, this turns out to be rather complicated:Is there a way around this?
e.g. Automatically rename output columns of the model (did not find suitable option in the "Score" recipe) or the option to use multiple classifieres in one recipe?
Thanks in advance.