Multi-Imbalance: Open Source Python Toolbox for Multi-Class Imbalanced Classification
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 .
Cite
Text
Grycza et al. "Multi-Imbalance: Open Source Python Toolbox for Multi-Class Imbalanced Classification." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67670-4_36Markdown
[Grycza et al. "Multi-Imbalance: Open Source Python Toolbox for Multi-Class Imbalanced Classification." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/grycza2020ecmlpkdd-multiimbalance/) doi:10.1007/978-3-030-67670-4_36BibTeX
@inproceedings{grycza2020ecmlpkdd-multiimbalance,
title = {{Multi-Imbalance: Open Source Python Toolbox for Multi-Class Imbalanced Classification}},
author = {Grycza, Jacek and Horna, Damian and Klimczak, Hanna and Lango, Mateusz and Plucinski, Kamil and Stefanowski, Jerzy},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2020},
pages = {546-549},
doi = {10.1007/978-3-030-67670-4_36},
url = {https://mlanthology.org/ecmlpkdd/2020/grycza2020ecmlpkdd-multiimbalance/}
}