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The causes of bank customer churn based on XGBoost and LightGBMmodels: the evidence from the Kaggle dataset

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References

2022The impact of the FinTech revolution on the future of banking: Opportunities and risks688 cited
2020The Platform Political Economy of FinTech: Reintermediation, Consolidation and Capitalisation251 cited
2022Thematic Analysis of Financial Technology (Fintech) Influence on the Banking Industry146 cited
2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
2021A review of literature directions regarding the impact of fintech firms on the banking industry128 cited
2022Propension to customer churn in a financial institution: a machine learning approach102 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
2021Relational Dynamics between Customer Engagement, Brand Experience, and Customer Loyalty: An Empirical Investigation61 cited
2022Towards Explainable Machine Learning for Bank Churn Prediction Using Data Balancing and Ensemble-Based Methods53 cited
2022Banks' consumer lending reaction to fintech and bigtech credit emergence in the context of soft versus hard credit information processing53 cited
2014Feature-selection-based dynamic transfer ensemble model for customer churn prediction52 cited
2018Time series for early churn detection: Using similarity based classification for dynamic networks51 cited

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2022A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection47 cited

2022Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions44 cited

2023Does digital finance aggravate bank competition? Evidence from China44 cited

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