14/09/2020

multi-imbalance: open source Python toolbox for multi-class imbalanced classification

Jacek Grycza, Damian Horna, Hanna Klimczak, Mateusz Lango, Kamil Pluciński, Jerzy Stefanowski

Keywords: imbalanced data, multi-class ensembles, re-sampling

Abstract Paper Similar Papers

Abstract: 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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