Binary and multiclass imbalanced classification using multi-objective ant programming (original) (raw)

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA), 2012

Abstract

Abstract Classification in imbalanced domains is a challenging task, since most of its real domain applications present skewed distributions of data. However, there are still some open issues in this kind of problem. This paper presents a multi-objective grammar-based ant programming algorithm for imbalanced classification, capable of addressing this task from both the binary and multiclass sides, unlike most of the solutions presented so far. We carry out two experimental studies comparing our algorithm against binary and multiclass ...

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