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

In: Recent Developments in Data Science and Business Analytics

Author

Listed:
  • Haifeng Li

    (School of Information, Central University of Finance and Economics)

  • Yuejin Zhang

    (School of Information, Central University of Finance and Economics)

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.

Suggested Citation

  • Haifeng Li & Yuejin Zhang, 2018. "Finding the Lenders of Bad Credit Score Based on the Classification Method," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 285-289, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-72745-5_31
    DOI: 10.1007/978-3-319-72745-5_31
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    Keywords

    Trust model; Credit score; Classification; P2P;
    All these keywords.

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