학술논문

Predicting credit risks.
Document Type
Article
Source
Issues in Information Systems; 2023, Vol. 24 Issue 4, p25-39, 15p
Subject
CREDIT risk
MACHINE learning
BANKING industry
RANDOM forest algorithms
K-nearest neighbor classification
LOGISTIC regression analysis
SUPERVISED learning
Language
ISSN
15297314
Abstract
Copyright of Issues in Information Systems is the property of International Association for Computer Information Systems and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)