Imbalanced Datasets

该数据集用于评估所提出的EvoSampling方法的有效性，涵盖了包括医疗诊断和工业生产在内的多个领域。这些数据集不平衡程度各异，范围广泛，用于验证EvoSampling方法在重新平衡不平衡数据方面的有效性。该数据集规模包含20个数据集，其不平衡比例从9.09到85.88不等，针对的任务是不平衡学习。

This dataset collection is developed to assess the effectiveness of the proposed EvoSampling method, covering multiple domains such as medical diagnosis and industrial production. It consists of 20 datasets with imbalance ratios varying from 9.09 to 85.88, which exhibit distinct degrees of imbalance across diverse scenarios. These datasets are employed to verify the performance of EvoSampling in rebalancing imbalanced data, with the target task being imbalanced learning.