CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction
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DOI: 10.1186/s40537-024-00982-x
Abstract: Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes. The prediction task of customer churn becomes… read more here.
Keywords: customer churn; ctgan enn; class;