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

Chapter 01 and 03 Karate Club Data accuracy(training and test) for 4 classes #11

Open
dgcovell opened this issue Jun 12, 2024 · 1 comment

Comments

@dgcovell
Copy link

Working through the excellent chapters to expand my python expertise. Chapters 01 and 03 have sections that process the
Karate Club data using 2 different methods. I would like to compare the training and prediction accuracies for both procedures.
The chapter 01 GNN analysis is based on 2 classes (Mr. Hi vs Officer) while the wordvec2 procedure in chapter 03 has 4 classes.
While the test accuracies for the 2 class case are ~98%, however when I apply the 4 class data, the training accuracy drops to 59%.
I am not sure whether my approach is correct.

In short, could an analysis of both procedures be provided for the Karate Club data with 4 classes? This would address differences
between GNN and wordvec2.

Thanks,
DGC

@mlabonne
Copy link
Collaborator

Thanks @dgcovell! Do you have code you can share with the 4-class example?

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

No branches or pull requests

2 participants