Lazy MetaCost Naive Bayes
Sotiris B. Kotsiantis, Dimitris N. Kanellopoulos · 2007 International Conference on Convergence Information Technology (ICCIT 2007) · 2007
This paper firstly provides a review on the various methodologies that have tried to handle the problem of learning from data sets with an unbalanced class distribution. Finally, it presents an experimental study of these methodologies with the local application of Metacost algorithm and it concludes that such a framework can be a more effective solution to the problem.