Skip to content
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

Question about the baseline model SVMt performance #1

Open
hellowangqian opened this issue Dec 25, 2019 · 0 comments
Open

Question about the baseline model SVMt performance #1

hellowangqian opened this issue Dec 25, 2019 · 0 comments

Comments

@hellowangqian
Copy link

I'm wondering if the authors would like to release the code and data for the baseline method SVMt. I've tried using libsvm with linear kernel and other default parameters to reproduce the results in the paper but only got results as follows (mean and std over 10 random trials):
Caltech: 24.06 (6.4); Amazon: 37.26 (5.23); W: 54.72 (5.68). These results are worse than those reported in the paper (Caltech: 30.1 (0.9); Amazon: 44.2(1.1); W: 58.3(1.2)) in terms of both mean and std. I'd like to know what leads to such difference. Any comments will be much appreciated.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant