How can I get MSE and normalized MSE both as performance function when fitting Feed forward neural network?
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Greg Heath on 26 Oct 2018
Divide MSE by the mean variance of the target rows (MSE of the constant output model)
MSEref = mean(var(target',1))
NMSE = mse(target-output)/MSEref
Rsquare = 1 - NMSE
Hope this helps.
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