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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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Main Authors: Sarah Rosdiana Tambunan, Junita Amalia, Kristina Margaret Sitorus, Yehezchiel Abed Rafles Sibuea, Lucas Ronaldi Hutabarat
Format: Artigo
Language:Inglês
Published: Asosiasi Doktor Sistem Informasi Indonesia 2024-12-01
Series:Journal of Information Systems and Informatics
Subjects:
Credit Risk
P2P Lending
Feature Engineering
Feature Selection
LightGBM
Online Access:https://journal-isi.org/index.php/isi/article/view/902
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