A novel ensemble method for classifying imbalanced data
We propose a novel ensemble method to handle imbalanced binary data. The method turns imbalanced data learning into multiple balanced data learning. Our method usually performs better than the conventional methods on imbalanced data.
imbalanced data classification ensemble learning