mlr3measures: Performance Measures for 'mlr3'

Implements multiple performance measures for supervised learning. Includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.

Version: 1.2.0
Depends: R (≥ 3.3.0)
Imports: checkmate, mlr3misc, PRROC
Suggests: testthat (≥ 3.0.0)
Published: 2025年11月25日
Author: Michel Lang ORCID iD [aut], Martin Binder [ctb], Marc Becker ORCID iD [cre, aut], Lona Koers [aut]
Maintainer: Marc Becker <marcbecker at posteo.de>
License: LGPL-3
NeedsCompilation: no
Materials: README, NEWS
In views: MachineLearning
CRAN checks: mlr3measures results

Documentation:

Reference manual: mlr3measures.html , mlr3measures.pdf

Downloads:

Windows binaries: r-devel: mlr3measures_1.2.0.zip, r-release: mlr3measures_1.2.0.zip, r-oldrel: mlr3measures_1.2.0.zip
macOS binaries: r-release (arm64): mlr3measures_1.2.0.tgz, r-oldrel (arm64): mlr3measures_1.2.0.tgz, r-release (x86_64): mlr3measures_1.2.0.tgz, r-oldrel (x86_64): mlr3measures_1.2.0.tgz

Reverse dependencies:

Reverse imports: mlr3, mlr3fairness, mlr3inferr, mlr3shiny
Reverse suggests: mlr3filters, mlr3pipelines

Linking:

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