New to ML in general and have been Googling on this. I am working on a dataset that will rate each customer features to a credit worthiness class attribute.
Is it possible to add class weights in the 'mlp()' function to deal with imbalance of class attributes? I have read the official document for RSNNS package. There is a parameter that is
initFunc = "Randomized_Weight" but the documentation does not offer any other
Can this be done on the
mlp() parameters, or I have to do a class weightage before the