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mupet

Multiclass Performance Evaluation Toolkit

Implementation of custom 'tidymodels' metrics for multi-class prediction models with a single negative class. Currently are implemented macro-average sensitivity and specificity as in Mortaz, Ebrahim (2020) "Imbalance accuracy metric for model selection in multi-class imbalance classification problems” <doi:10.1016/j.knosys.2020.106490> and a generalized weighted Youden index as in Li, D.L., Shen F., Yin Y., Peng J.X and Chen P.Y. (2013) “Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity” <doi:10.3760/cma.j.issn.0366-6999.20123102>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 mupet_0.1.0.tar.gz 42.4 KiB
0.1.0 rolling linux/noble R-4.5 mupet_0.1.0.tar.gz 42.4 KiB
0.1.0 rolling source/ R- mupet_0.1.0.tar.gz 23.9 KiB
0.1.0 latest linux/jammy R-4.5 mupet_0.1.0.tar.gz 42.4 KiB
0.1.0 latest linux/noble R-4.5 mupet_0.1.0.tar.gz 42.4 KiB
0.1.0 latest source/ R- mupet_0.1.0.tar.gz 23.9 KiB
0.1.0 2026-04-26 source/ R- mupet_0.1.0.tar.gz 23.9 KiB
0.1.0 2026-04-23 source/ R- mupet_0.1.0.tar.gz 23.9 KiB
0.1.0 2026-04-09 windows/windows R-4.5 mupet_0.1.0.zip 45.2 KiB

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