Research on anti-Financial fraud Technology based on Machine learning

Changing fraud mode and the hidden risk of fraud is the characteristics of P2P network credit. Personal behavior in Internet basic characteristic information and personal data in building personal portrait technique based on large data model has potential value. When the advantage is obvious and credit fraud identification network model have a very good solution efficiency. In this paper, combined with the combination classification algorithm of machine learning, the fraud of network credit platform in Internet finance is deeply analyzed and studied.