Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets

@inproceedings{Cao2016ImprovingFF,
  title={Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets},
  author={Van Loi Cao and Nhien-An Le-Khac and Miguel Nicolau and M. A. {\'O}neill and James McDermott},
  booktitle={EvoApplications},
  year={2016}
}
Credit card classification based on machine learning has attracted considerable interest from the research community. One of the most important tasks in this area is the ability of classifiers to handle the imbalance in credit card data. In this scenario, classifiers tend to yield poor accuracy on the minority class despite realizing high overall accuracy. This is due to the influence of the majority class on traditional training criteria. In this paper, we aim to apply genetic programming to… 
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