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Multi-Imbalance: An open-source software for multi-class imbalance learning
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DOI：10.1016/j.knosys.2019.03.001.png)
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摘要
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Imbalance classification is one of the most challenging research problems in machine learning. Techniques for two-class imbalance classification are relatively mature nowadays, yet multi-class imbalance learning is still an open problem. Moreover, the community lacks a suitable software tool that can integrate the major works in the field. In this paper, we present Multi-Imbalance, an open source software package for multi-class imbalanced data classification. It provides users with seven different categories of multi-class imbalance learning algorithms, including the latest advances in the field. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Multi-class imbalance leaning
Imbalanced data classification
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