Bagging and Boosting Classification Trees to Predict Churn

AURELIE LEMMENS; CHRISTOPHE CROUX

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Bagging and Boosting Classification Trees to Predict Churn

机译：套用和增强分类树以预测流失

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In this article, the authors explore the bagging and boosting classification techniques. They apply the two techniques to a customer database of an anonymous U.S. wireless telecommunications company, and both significantly improve accuracy in predicting churn. This higher predictive performance could ultimately lead to incremental profits for companies that use these methods. Furthermore, the results recommend the use of a balanced sampling scheme when predicting a rare event from large data sets, but this requires an appropriate bias correction.

机译：在本文中，作者探讨了装袋和提振分类技术。他们将这两种技术应用于美国一家匿名无线电信公司的客户数据库，并且都显着提高了预测客户流失的准确性。较高的预测性能可能最终导致使用这些方法的公司获得增加的利润。此外，结果建议在从大型数据集中预测罕见事件时使用平衡采样方案，但这需要适当的偏差校正。

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来源
《Journal of marketing research》 |2006年第2期|p.276-286|共11页
作者
AURELIE LEMMENS; CHRISTOPHE CROUX;
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作者单位

Department of Applied Economics, K.U. Leuven;

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正文语种 eng
中图分类 f;
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1. Offering a hybrid approach of data mining to predict the customer churn based on bagging and boosting methods [J] . Fathian Mohammad, Hoseinpoor Yaser, Minaei-Bidgoli Behrouz Kybernetes: The International Journal of Systems & Cybernetics . 2016,第5期

机译：提供基于数据包和提升方法的混合数据挖掘方法来预测客户流失
2. Blended Churn Predictive System for Quadruple-Patterned Churn Classification Towards Effective Customer Behavioural Management [J] . Ayodeji Ibitoye, Olufade Onifade International Journal on Data Science and Technology . 2020,第2期

机译：用于有效客户行为管理的四重模式流失分类的混合搅拌预测系统
3. Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees [J] . Peter C Austin, Douglas S Lee American Journal of Cardiovascular Disease . 2011,第1期

机译：与传统的分类树相比，增强的分类树导致心血管结局分类的准确性略有改善
4. Handling Class Imbalance in Customer Churn Prediction in Telecom Sector Using Sampling Techniques, Bagging and Boosting Trees [C] . Sajjad Shumaly, Pedram Neysaryan, Yanhui Guo International Conference on Computer and Knowledge Engineering . 2020

机译：使用采样技术，袋装和升压树木电信部门客户潮汐预测的课程不平衡
5. Comparison of MaxEnt and boosted regression tree model performance in predicting the spatial distribution of threatened plant, Telephus spurge (Euphorbia telephioides). [D] . Mainella, Alexa Marie. 2016

机译：比较MaxEnt和增强回归树模型在预测濒危植物Telephus spurge（Euphorbia telephioides）的空间分布方面的性能。
6. Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees [O] . Peter C Austin, Douglas S Lee 2011

机译：与传统的分类树相比增强的分类树导致心血管结果分类的准确性略有改善
7. Bagging and boosting classification trees to predict churn [O] . Lemmens Aurélie, Croux Christophe 2006

机译：套用和增强分类树以预测流失

Bagging and Boosting Classification Trees to Predict Churn

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