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Customer churn prediction in imbalanced datasets with resampling methods: A comparative study

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References

1988Thirteen Ways to Look at the Correlation Coefficient4,068 cited
2008Handling class imbalance in customer churn prediction552 cited
2008Customer churn prediction using improved balanced random forests412 cited
2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
2022Assessing credit risk of commercial customers using hybrid machine learning algorithms130 cited
2023Deep Churn Prediction Method for Telecommunication Industry91 cited
2021Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector77 cited
2022A survey on machine learning methods for churn prediction76 cited
2022Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest62 cited
2023Exploiting time-varying RFM measures for customer churn prediction with deep neural networks58 cited
2022Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees51 cited
2020Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network51 cited

Cited by

2025Mitigating class imbalance in churn prediction with ensemble methods and SMOTE

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42 cited

2024Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning13 cited

2024Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation12 cited

2024Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency11 cited