Imbalanced classification with tpg genetic programming
Nicolas Sourbier, Justine Bonnot, Olivier Gesny, Frédéric Majorczyk, Karol Desnos, Thomas Guyet, Maxime Pelcat · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2022
Recent research advances on Tangled Program Graphs (TPGs) have demonstrated that Genetic Programming (GP) can be used to build accurate classifiers. However, this performance has been tested on balanced classification problems while most of the real world classification problems are imbalanced, with both over-represented classes and rare classes.