Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction

Author:

Liu Zhenkun,Jiang Ping,De Bock Koen W.,Wang Jianzhou,Zhang Lifang,Niu Xinsong

Funder

Major Program of National Fund of Philosophy and Social Science of China

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference73 articles.

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4. Developing a hybrid model to predict student first year retention and academic success in STEM disciplines using neural network;Alkhasawneh;J. STEM Educ. Innov. Res.,2014

5. Predicting customer retention using XGBoost and balancing methods;Al-Shatnwai;Int. J. Adv. Comput. Sci. Appl.,2020

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