Class Imbalance Problem - Buda, M., Maki, A., & Mazurowski, M. A. (2018). A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks, 106, 249-259. [Paper](https://arxiv.org/pdf/1710.053
thresholding should be applied to compensate for prior class probabilities when overall number of properly classified cases is of interest.