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Application of instance-based entropy fuzzy support vector machine in peer-to-peer lending investment decision
2019
IEEE Access
Loan status prediction is an effective tool for investment decisions in peer-to-peer (P2P) lending market. In P2P lending market, most borrowers fulfill the repayment plan; however, some of them fail to pay back their loans. Therefore, an imbalanced classification method can be utilized to discriminate such default borrowers. In this context, the aim of this paper is to propose an investment decision model in P2P lending market which consists of fully paid loans classified via the
doi:10.1109/access.2019.2896474
fatcat:xztc7pjypvcjxfnpzixiqlzzkm