File Exchange

image thumbnail

Ensemble Learning Toolbox

version 1.0.0 (9.1 KB) by Victor Henrique Alves Ribeiro
A simple toolbox for the creation of ensembles of classifiers and regressors.


Updated 13 May 2020

From GitHub

View Version History

View license on GitHub

This is a simple class/toolbox for classification and regression ensemble learning.

It enables the user to manually create heterogeneous, majority voting, weighted majority voting, mean, and stacking ensembles with MATLAB's "Statistics and Machine Learning Toolbox" classification models.

Version 1.0.0 also adds boosting, bagging, random subspace, and "random forest" training approaches.

Cite As

@article{ribeiro2020ensemble, title={Ensemble Learning Toolbox: Easily Building Custom Ensembles in MATLAB}, author={Victor Henrique Alves Ribeiro and Gilberto Reynoso-Meza}, year={in review} }

Victor Henrique Alves Ribeiro and Gilberto Reynoso-Meza (In review). Ensemble Learning Toolbox: Easily Building Custom Ensembles in MATLAB.

Comments and Ratings (9)

Sinan Islam

Foss Guru

Juliano Pierezan

Dear Ahmed Ismail,

I am so sorry for leaving your comment unattended for such a long time.
I have plans of updating this toolbox to enable compatibility with the deep learning toolbox later this year.

Soojeong Lee

Thank you for your sharing~~

py chang

Thank you for your sharing!

ahmed ismail

thanks for your effort, however, i am trying to apply different CNNs such as lenet , alexnet, and vggnet . if i want to apply majority voting could u explain how to run that?

Leandro Coelho


MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!