Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification

Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor +1

A natural way of handling imbalanced data is to attempt to equalise the class frequencies and train the classifier of choice on balanced data. For two-class imbalanced problems, th…