bias and variance of trained neural network
显示 更早的评论
Hello How can we save the bias and variance of a trained network? thank you in advance
采纳的回答
Greg Heath
2013-12-2
[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
2 个评论
SAM
2017-10-13
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
2018-12-8
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
更多回答（1 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
