Enhancing Credit Risk Classification Using LightGBM with Deep Feature Synthesis

In the digital financial services era, Peer-to-Peer (P2P) lending has emerged as a significant innovation in fintech. However, credit risk remains a major concern due to the potential for payment failures, which can cause losses for platforms and investors. This research explores the impact of Deep...

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Bibliographic Details

Published in:	Journal of Information Systems and Informatics
Main Authors:	Sarah Rosdiana Tambunan, Junita Amalia, Kristina Margaret Sitorus, Yehezchiel Abed Rafles Sibuea, Lucas Ronaldi Hutabarat
Format:	Article
Language:	English
Published:	Informatics Department, Faculty of Computer Science Bina Darma University 2024-12-01
Subjects:	credit risk p2p lending feature engineering feature selection lightgbm
Online Access:	https://journal-isi.org/index.php/isi/article/view/902