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Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis
13 references·5 citing·42 second hop
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References

  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,226 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets425 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2010Data Mining Techniques in CRM: Inside Customer Segmentation207 cited
  • 2010Predicting customer churn in mobile networks through analysis of social groups168 cited
  • 2016Developing a prediction model for customer churn from electronic banking services using data mining116 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • 2010Data Mining Techniques in CRM91 cited
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited

Cited by

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2025
Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning
70 cited
  • 2024The Impact of SMOTE and ADASYN on Random Forest and Advanced Gradient Boosting Techniques in Telecom Customer Churn Prediction20 cited
  • 2024Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning13 cited
  • 2025Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction13 cited
  • 2024A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability11 cited