Customer churn prediction based on multiple linear regression and random forest

HIGHLIGHTS

• What: This study used multiple linear regression and RF models to predict customer churn.
• Who: Customer churn and collaborators from the School of Digital Economy, Guangdong University of Finance and Economics, Foshan, China have published the paper: Customer Churn Prediction Based on Multiple Linear Regression and Random Forest, in the : Proceedings of the 5th International Conference on Signal Processing and Machine Learning
• Future: Future research can further explore hybrid models and deep learning techniques to improve prediction accuracy and address the challenges of data imbalance and feature selection.

SUMMARY

 



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