Web: http://arxiv.org/abs/2208.04343

Aug. 12, 2022, 1:11 a.m. | Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo

cs.LG updates on arXiv.org arxiv.org

This paper presents an open-source Python toolbox called Ensemble Feature
Importance (EFI) to provide machine learning (ML) researchers, domain experts,
and decision makers with robust and accurate feature importance quantification
and more reliable mechanistic interpretation of feature importance for
prediction problems using fuzzy sets. The toolkit was developed to address
uncertainties in feature importance quantification and lack of trustworthy
feature importance interpretation due to the diverse availability of machine
learning algorithms, feature importance calculation methods, and dataset
dependencies. EFI merges …

arxiv feature fusion importance interpretation lg python

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