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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Principais autores:	Dong-Her Shih, Ting-Wei Wu, Po-Yuan Shih, Nai-An Lu, Ming-Hung Shih
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-06-01
coleção:	Mathematics
Assuntos:	financial markets credit scoring machine learning P2P lending
Acesso em linha:	https://www.mdpi.com/2227-7390/10/13/2282
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