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The P2P Risk Assessment Model Based on the Improved AdaBoost-SVM Algorithm
School of Business and Management, South China University of Technology, Guangzhou, China
School of Business and Management, South China University of Technology, Guangzhou, China
- 1 School of Business and Management, South China University of Technology, Guangzhou, China
- 2 School of Business and Management, South China University of Technology, Guangzhou, China
Journal of Financial Risk Management·Volume 06 (2017)·Pages 201–209·Published 11 May 2017·DOI10.4236/jfrm.2017.62015
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Abstract
The improved AdaBoost-SVM algorithm is used to classify the safety and the risk from the Peers-to-Peers net loan platforms. Since the SVM algorithm is hard to deal with the rare samples and its training is slow, rule sampling is used to reduce the classify noise. Then, with the combinations of learning machine, P2P risks can be identified. The result shows that IAdaBoost algorithm can improve the risk platform classification accuracy. And the error of classification can be controlled in 5%.
KeywordsPeers-to-PeersAdaBoostSVMThe Combinations of Learning MachineRule Sampling
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