Challenges in the calibration of tree-based models for imbalanced classification

Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford

When using machine learning for imbalanced binary classification problems, it is common to subsample the majority class to create a (more) balanced training dataset. This biases th…