Machine learning predictivity applied to consumer creditworthiness

Machine learning predictivity applied to consumer creditworthiness

Abstract Credit risk evaluation has a relevant role to financial institutions, since lending may result in real and immediate losses. In particular, default prediction is one of the most challenging activities for managing credit risk. This study analyzes the adequacy of borrower’s classification mo...

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Bibliographic Details
Main Authors: Maisa Cardoso Aniceto, Flavio Barboza, Herbert Kimura
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Future Business Journal
Subjects:
Machine learning
Credit risk
Consumer lending
Default prediction
Performance analysis
Online Access:http://link.springer.com/article/10.1186/s43093-020-00041-w

Internet

http://link.springer.com/article/10.1186/s43093-020-00041-w

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