首页|Khon Kaen University Researchers Highlight Research in Machine Learning (CTGAN-E NN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped dat a in customer churn prediction)
Khon Kaen University Researchers Highlight Research in Machine Learning (CTGAN-E NN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped dat a in customer churn prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from Khon Kaen Unive rsity by NewsRx journalists, research stated, “Class imbalance is one of many pr oblems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.”
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