Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

Justin Engelmann, Stefan Lessmann

Class imbalance is a common problem in supervised learning and impedes the predictive performance of classification models. Popular countermeasures include oversampling the minorit…