Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study

Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi

Due to their data-driven nature, Machine Learning (ML) models are susceptible to bias inherited from data, especially in classification problems where class and group imbalances ar…