References

• 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees569 cited
• 2011Credit card churn forecasting by logistic regression and decision tree225 cited
• 2022Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model147 cited
• 2021A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector142 cited
• 2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
• 2020Leveraging unstructured call log data for customer churn prediction110 cited
• 2017Profit maximizing logistic model for customer churn prediction using genetic algorithms106 cited
• 2020Assessing customer satisfaction of O2O takeaway based on online reviews by integrating fuzzy comprehensive evaluation with AHP and probabilistic linguistic term sets106 cited
• 2021Risk-Averse Two-Stage Stochastic Minimum Cost Consensus Models with Asymmetric Adjustment Cost99 cited
• 20202-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers97 cited
• 2019Why you should stop predicting customer churn and start using uplift models90 cited
• 2022Credit risk assessment mechanism of personal auto loan based on PSO-XGBoost Model84 cited
• 2021Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach