The Explanation of Support Vector Machine in Customer Churn Prediction

In this paper, an explainable prediction model is established to select the optimum features and parameters, then the selected optimum parameters are applied to predicting potential customer churning in one foreign telecom company, discovering that the model not only achieves a desirable prediction but is also explainable through selected features, and that a balanced relation between accuracy and explaining of customer churn prediction model as well as that a unified structural frame for customer churn prediction model is thus established.