Customer churn prediction based on simple support vector machine
基于简易支持向量机的客户流失预测研究*

To improve the prediction abilities of machine learning methods, this paper applied a simple support vector machine(SSVM) to customer churn prediction. The method was compared with NPA regarding customer churn prediction for foreign telecommunication carrier. It was found that the method need less time and adding time with the consistent precision, and provided an effective measurement for customer churn prediction.