EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while m

用基于下取样的技术easyensemble来实现类别不平衡数据的分类-Based on sampling techniques used under the category easyensemble to achieve the classification of unbalanced data

EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法-EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to b