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Looking for multiple label regression
I am looking for a way for "multiple label regression"
For example, there are two labels,
concentration(real attribute), type(nominal attribute)
and several independent attributes
So I want to predict concentration and type, given independent attributes
using Neural Network or Deep Learning or Regression or else.
What is the best strategy doing this using RapidMiner?
(But, I found RapidMiner cannot assign two or more labels to example sets)
I am a beginner of RapidMiner, so please help me with this difficult problem.
Thank you and have a nice weekend.