Optimizing bank customer churn prediction with machine learning models: a comparative study
This study utilizes five machine learning algorithms to classify and predict churn behavior based on financial and demographic characteristics from a dataset of 10,000 customers of a confidential multinational bank. This dataset is publicly accessible on Kaggle. The models in this study are random forest (RF), decision...