Customer loss prediction method and device, terminal equipment and storage medium

The invention discloses a customer loss prediction method and device, terminal equipment and a storage medium, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining the prediction customer information of potential loss customers; and inputting the predicted customer information into a pre-created loss analysis model to obtain a predicted loss result, the loss analysis model being obtained by training a decision tree integration algorithm and customer information. According to the invention, clients can be effectively retained and client loss can be reduced. 本申请公开了一种客户流失预测方法、装置、终端设备以及存储介质，涉及人工智能领域，其方法包括：获取潜在流失客户的预测客户信息；将所述预测客户信息输入预先创建的流失分析模型，得到预测流失结果，其中所述流失分析模型由决策树集成算法和客户信息训练所得。本发明能有效挽留客户，减少客户流失量。