-
Notifications
You must be signed in to change notification settings - Fork 632
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
nnet / regression #1362
Comments
I found the reason: In regression linout has to be set to TRUE, while for classificaiton to FALSE Someone should also check avNNet and pcaNNet |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
I have now noticed in two independent projects with two independent developers that the RSME values in nnet for regression tasks (not classification) are significantly higher than, for example, a linear regression or the direct implementation in the nnet package. Something seems to be going wrong, but I have not yet found the cause.
The text was updated successfully, but these errors were encountered: