TL;DR利用极限梯度提升(XGBoost)算法,通过处理时间敏感的特征工程,提升了基于多种时间窗口训练和测试的客户数据集合的客户流失预测模型的准确性,同时在 WSDM Cup 2018 Churn Challenge 比赛中获得了第一名。
Abstract
Accurately predicting customer churn using large scale time-series data is a
common problem facing many business domains. The creation of model features
across various time windows for training and testing can be