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

Python

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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:
https://github.com/sabiha90/Random-Forest-Explainability-Pipeline

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

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