An implementation of evolutionary forest using the AirQuality dataset found in the UCI repository. The evolutionary forest is a new type of ensemble method that uses genetic programming to evolve a forest of trees. The evolutionary forest is compared to a random forest. The evolutionary forest is found to be more accurate than the random forest model.
- Clone the repository
git clone https://github.com/Nicholas-Sidharta12365/evolutionary-forest- Open the ef.ipynb notebook in Jupyter Notebook
- Run all the cells in the notebook
All credit goes to Mr. Hengzhe Zhang for the Paper and the explanation of the evolutionary forest library.
This repository is for my personal use and I do not take credit for the paper or the evolutionary forest library. I am simply using the library to test the evolutionary forest model.