George Petrides

Misclassification cost-sensitive ensemble learning: A unifying framework

2020 · arXiv (Cornell University)

Over the years, a plethora of cost-sensitive methods have been proposed for learning on data when different types of misclassification errors incur different costs. Our contribution is a unifying framework that provides a comprehensive and …