Journal
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2020, PT V
Volume 12461, Issue -, Pages 546-549Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-67670-4_36
Keywords
Imbalanced data; Multi-class ensembles; Re-sampling
Categories
Funding
- PUT Statutory Funds
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Multi-imbalance is an open-source Python library designed to provide the Python community with tools for handling multi-class imbalanced problems. It includes implementations of binary decomposition techniques, ensembles, and a variety of re-sampling approaches for multi-class imbalanced classification.
This paper presents multi-imbalance, an open-source Python library, which equips the constantly growing Python community with appropriate tools to deal with multi-class imbalanced problems. It follows the code conventions of sklearn package. It provides implementations of state-of-the-art binary decomposition techniques, ensembles, as well as both novel and classic re-sampling approaches for multi-class imbalanced classification. For demonstration and documentation, consult the project web page: www.cs.put.poznan.pl/mlango/multiimbalance.php.
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