The Important Factor Research Of The P2P Lending Based On Random Forest

The reform and development of the traditional financial system is slow in China.Banks and securities firms with high profile don't provide enough service for small and medium-sized groups.information asymmetry is one of the main causes of it.On one hand,people with surplus funding can't find the appropriate investment products to spread risks;one the other hand, small and medium-sized groups are difficult to get money,financing hardship for Small and Medium Sized Businesses is a phenomenon of world, micro-loan company, escrow company are trying to solve the problem,but it is not effective.With the rapid development of Internet,the birth of Internet Finance sheds light on it. P2P lending is one of the typical patterns of Internet Finance.P2P lending provides financial services and financial products for poor people and small business, and fills the gaps of traditional financial institutions in financial system.P2P lending means peer-to-peer online lending,the operating principle is that an internet platform built by P2P lending company connects borrowers and loaners.P2P lending has many outstanding features. It lowers entry barriers for borrowers, meets the financial requirements of low-and middle-income people,relieves information asymmetry between borrowers and loaners in a way.The hot degree of P2P lending in practice fields also draws more and more concern from the theorists. Due to the lack of pertinent laws and regulations,numerous problems that arose during the development of the P2P lending.For example, its relatively low success rate of borrowing has been widely concerned. This paper constructs the success rate of online borrowing assessment model based on Random Forest for the first time. Then, use the order data in the first quarter of Renrendai lending platform to research the influence of the borrower's basic characteristics, the borrower's historical information, loan characteristics, authentication information and other factors on the success rate of P2P lending. The empirical research shows:the success rate of historical loans, the number of outstanding loans, the income certification and other factors are the most important factors in the success rate of the loan, meanwhile, the prediction accuracy of the proposed method is obviously higher than that of logistic model and other methods.