Abstract:Before giving loans to borrowers, banks decide whether the borrower is bad (defaulter) or good (non-defaulter). The prediction of borrower status whether the borrower will be a defaulter or a non-defaulter is not an easy task to the loan providing entity. In machine learning, building an automated loan default classification system is an optimization problem with an ultimate objective of improving loaner classification in loan decision making. However, this problem becomes difficult when there is a profile of … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.