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Using multiple data type for neural networks prediction models
I need a little help regarding implementation of neural network where the default model “Neural Net” only allows me numeric attributes as dependent variables, and no nominal attributes (either character, binomial or polynomial). My question is what kind of model fits better to my given situation: I want to build a model which it will contain multiple data types (binomial, polynomial, and numeric ).