The Combination Forecasting Model of Telecommunication User Tricking Account Overdraft Limit Based on Logistic Regression and SVM

With the development of the telecommunications industry, the business products of major operators continue to innovate, and it is particularly important to analyze the credit value of telecom users and use them for business risk control and management. Based on the historical behavior data of telecom users, based on the traditional Logistic regression model and the support vector machine model, this paper proposes a risk prediction model combining the two methods, trying to find effective measures to reduce the risk of telecom users. The experimental results show that compared with the two single models, the combined prediction model not only has higher classification accuracy, but also obtains better robustness, which can effectively predict the risk of telecom users.