A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark
Patryk Orzechowski, Paweł Renc, William La Cava, Jason H. Moore, Arkadiusz Sitek, Jarosław Wąs, Joost Wagenaar · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2022
In this paper we compare performance of genetic programming-based symbolic classifiers on a novel synthetic machine learning benchmark called DIGEN. This framework and collection of 40 different classification problems was designed specifically to differentiate performance of leading machine learning methods.