Orzechowski P, Renc P, Moore JH, Sitek A, Was J, Wagenaar J

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.