MATLAB: Neural Network: what does mean when the R-value is close to 1, but MSE (mean squared error) is large

mseneural networkneural network r-value mser-value

Hi,
   Considering a trained neural network, what does mean when the R-value is close to 1, but MSE (mean squared error) is large?
   All data were normalized.
        Thank you!

Best Answer

 R^2 =  1 - MSE/mean(var(target',1))
If the R value is large, then the MSE value is much smaller than the mean target variance. This indicates that the net has successfully managed to model most of the variation in the input->target transformation.
Hope this helps.
Thank you for formally accepting my answer
Greg
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