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Scale and center 'label' attribute for prediction?
I separate my data set into test and training sets, then train using a (neural network) operator. I have the Apply Model operator for the test set, and use the Performance operator for evaluation.
As my variables/attributes are output from different processes and have very different ranges, I need to scale them and I also centre them for use in ANN (SOM in particular requires this). Is it necessary to also scale and centre my label/target attribute?
(edit: simplified to remove a second question)