A Framework of Global Credit-Scoring Modeling Using Outlier Detection and Machine Learning in a P2P Lending Platform

A great challenge for credit-scoring models in online peer-to-peer (P2P) lending platforms is that credit-scoring models simply discard rejected applicants. This selective discard can lead to an inability to increase the number of potentially qualified applicants, ultimately affecting the revenue of...

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Bibliographic Details
Published in:Mathematics
Main Authors: Dong-Her Shih, Ting-Wei Wu, Po-Yuan Shih, Nai-An Lu, Ming-Hung Shih
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Subjects:
financial markets
credit scoring
machine learning
P2P lending
Online Access:https://www.mdpi.com/2227-7390/10/13/2282

Internet

https://www.mdpi.com/2227-7390/10/13/2282

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