Key points are not available for this paper at this time.
Building a classification model on imbalanced datasets can be a challenging endeavor. Models built on data where examples of one class are greatly outnumbered by examples of the other class(es) tend to sacrifice accuracy with respect to the underrepr
Seiffert et al. (Mon,) studied this question.