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.
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Acknowledgements
This research is supported by National Natural Science Foundation of China (61100112, 61309030), Beijing Higher Education Young Elite Teacher Project (YETP0987), Key project of National Social Science Foundation of China(13AXW010).
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Li, H., Zhang, Y. (2018). Finding the Lenders of Bad Credit Score Based on the Classification Method. In: Tavana, M., Patnaik, S. (eds) Recent Developments in Data Science and Business Analytics. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-72745-5_31
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DOI: https://doi.org/10.1007/978-3-319-72745-5_31
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