Finding the Lenders of Bad Credit Score Based on the Classification Method

Haifeng Li () and Yuejin Zhang
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Haifeng Li: School of Information, Central University of Finance and Economics
Yuejin Zhang: School of Information, Central University of Finance and Economics

Chapter Chapter 31 in Recent Developments in Data Science and Business Analytics, 2018, pp 285-289 from Springer

Abstract: Abstract The online P2P lending is a creative and useful finance way for tiny enterprises who can conduct by the internet. To exclude the risk of this method, we make a study on predicting the potential lenders that may have a bad credit score. We use a classification method to perform this detection. Our experimental results show that this method can achieve a high precision.

Keywords: Trust model; Credit score; Classification; P2P (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-72745-5_31

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DOI: 10.1007/978-3-319-72745-5_31

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