Author: Melvin Mokhtari
Available in: arXiv, December 2024
Paper can be found:
Code and data can also be accessed:
- Locally in this GitHub repository
As the field of data analysis grows rapidly due to the large amounts of data being generated, effective data classification has become increasingly important. This paper introduces the RUle Mutation Classifier (RUMC) in this matter. RUMC uses innovative rule mutation techniques based on evolutionary methods to improve classification accuracy. In tests with forty datasets from OpenML and the UCI Machine Learning Repository, RUMC consistently outperformed twenty other well-known classifiers, demonstrating its ability to uncover valuable insights from complex data.
If you have any questions about this repository, wish to request a feature or make a contribution, please open a GitHub issue, or feel free to contact melvmok@gmail.com.