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

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!

Answer 1

[Greg Heath]

 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