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

To resolve class imbalance problems #5

Open
1 of 5 tasks
reejungkim opened this issue Apr 3, 2022 · 0 comments
Open
1 of 5 tasks

To resolve class imbalance problems #5

reejungkim opened this issue Apr 3, 2022 · 0 comments
Assignees
Labels
enhancement New feature or request

Comments

@reejungkim
Copy link
Owner

reejungkim commented Apr 3, 2022

Class imbalance problem exists. Only 0.172% of fraud labelled data.

To resolve class imbalance issue:

  • Augmentation

  • Loss function reconstruction

  • Batch sampling

  • Use semi-supervised learning. ex) One-Calss SVM.

  • Use autoencoder

@reejungkim reejungkim added the enhancement New feature or request label Apr 3, 2022
@reejungkim reejungkim self-assigned this Apr 3, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant