电商用户流失预测训练模型

该模型应用主要是基于电商平台用户的基础信息、交易信息、行为信息、售后投诉信息等数据，对平台电商用户进行行为流失预测，目的在于提前识别出可能流失的用户，以便企业采取针对性措施策略进行挽回，为平台运营和商家运营提供支撑。该模型已嵌入“一码贵州”平台。

This model is primarily applied for user behavior churn prediction of e-commerce platform users, leveraging data such as basic user information, transaction records, behavioral data, and after-sales complaint information. Its objective is to identify users at risk of churn in advance, enabling enterprises to adopt targeted measures and strategies for user retention, and providing support for both platform and merchant operations. This model has been embedded into the "Yima Guizhou" platform.