Class imbalance in a dataset is major problem for classifiers that results poor prediction with high true positive rate (TPR) but low negative (TNR) majority training dataset. Generally, the pre-processing technique of oversampling minority class(es) are used to overcome this deficiency. Our focus on using hybridization Generative Adversarial Network (GAN) and Synthetic Minority Over-Sampling T...