Random Forest Explainability toolkit (RFEX) using R and Python in Jupyter Notebook


Video is ready, Click Here to View ×

RFEX creates a simple to understand summary of how trained RF makes its classification. It has been developed at SFSU CS Department by graduate student Sabiha Barlaskar and mentor Prof. D. Petkovic.

The project code and documentation can be found here:

Important links and references for RFEX:
1. D. Petkovic, R. Altman, M. Wong, A. Vigil: “Improving the explainability of Random Forest classifier – user-centered…

Leave a Reply

Your email address will not be published. Required fields are marked *