Grading Cost Sensitive Models
Sotiris B. Kotsiantis, Dimitris N. Kanellopoulos · 2008
A learner induced from an imbalanced dataset has a low error rate for the majority class and an undesirable error rate for the minority class. This paper provides a study on the various methodologies that have tried to handle this problem. Finally, it presents an experimental study of these methodologies with a proposed grading cost-sensitive ensemble and it concludes that this ensemble is a more effective solution to the problem.