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: 0.6.0
Depends: R (≥ 3.1.0)
Imports: checkmate, PRROC
Suggests: testthat (≥ 3.0.0)
Published: 2024-07-21
DOI: 10.32614/CRAN.package.mlr3measures
Author: Michel Lang ORCID iD [aut], Martin Binder [ctb], Marc Becker ORCID iD [cre, aut]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
URL: https:///,
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3measures results


Reference manual: mlr3measures.pdf


Package source: mlr3measures_0.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3measures_0.6.0.tgz, r-oldrel (arm64): mlr3measures_0.6.0.tgz, r-release (x86_64): mlr3measures_0.6.0.tgz, r-oldrel (x86_64): mlr3measures_0.6.0.tgz
Old sources: mlr3measures archive

Reverse dependencies:

Reverse imports: mlr3, mlr3fairness, mlr3shiny
Reverse suggests: mlexperiments, mllrnrs, mlr3filters, mlr3pipelines, mlsurvlrnrs


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