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

Difference EnsembleML and BaggingML #39

Closed
alexgcsa opened this issue Feb 20, 2017 · 2 comments
Closed

Difference EnsembleML and BaggingML #39

alexgcsa opened this issue Feb 20, 2017 · 2 comments

Comments

@alexgcsa
Copy link

Hello,

I would like to know what is the difference between the meta multi-label classifiers EnsembleML and BaggingML. Is there a reference for EnsembleML?

Thanks,

Alex de Sá

@jmread
Copy link
Contributor

jmread commented Feb 20, 2017

Hi, the only difference is that BaggingML allows for sampling with replacement for each model, whereas EnsembleML is a simple ensemble (a simple cut of the training set for each model, i.e., sampling without replacement).

@alexgcsa
Copy link
Author

alexgcsa commented Jul 8, 2017

Thank you very much.

@alexgcsa alexgcsa closed this as completed Jul 8, 2017
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

2 participants