MESA is a meta-learning-based ensemble learning framework for solving class-imbalanced learning problems. It is a task-agnostic general-purpose solution that is able to boost most of the existing machine learning models' performance on imbalanced data.
論文連結：https://arxiv.org/abs/2010.08830
github連結：https://github.com/ZhiningLiu1998/mesa