Hao Chen*, Qian Tang, Yifei Wei, Mei Song
Journal on Artificial Intelligence, Vol.3, No.3, pp. 115-121, 2021, DOI:10.32604/jai.2021.026851
Abstract As the cost of accessing a telecom operator’s network continues to
decrease, user churn after arrears occurred repeatedly, which has brought huge
economic losses to operators and reminded them that it is significant to identify
users who are likely to churn in advance. Machine learning can form a series of
judgment rules by summarizing a large amount of data, and telecom user data
naturally has the advantage of user scale, which can provide data support for
learning algorithms. XGBoost is an improved gradient boosting algorithm, and in
this paper, we explore how to use the algorithm to train an efficient… More >
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