Traditionally, undersampling is utilized in communication applications where a range of non-baseband signals sitting above the nyquist frequency are desired to be sampled. The bandwidth of these ...

I'd like to build a categorical predictive models using a binary classification (0 ,1). The dataset is composed by about 300K data points, but the classification is imbalanced (289K elements with 0 ...