bias and variance of trained neural network

Hello How can we save the bias and variance of a trained network? thank you in advance

Answer 1

[Greg Heath]

 [x,t] = simplefit_dataset;
 net = fitnet(4);
 rng(0)
 [ net tr y e ] = train(net,x,t);
 biaserr = mean(e(:))
 varerr  = var(e(:))

HTH

Thank you for formally accepting my answer

Greg

[SAM]

hi Greg, how can I calculate bias and variance if I have mean square error ? or i must have err=Targets-predictions

[Muhammad Adil Raja]

Hi Greg, I really like this definition of variance as it is calculated over the error and not on the model output alone. However, is there a reference to back it up? Normally the variance is defined as the variance of the model output, which rather sounds non-sensible to me.

Moreover, how to compute these values if I am using fitnet for MIMO (multiple input or multiple output) problems or while using ensembles?

Best,

MA

Answer 2

[Mohamad]

Greg Thank you very much.