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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: 1.0.0
Depends: R (≥ 3.1.0)
Imports: checkmate, mlr3misc, PRROC
Suggests: testthat (≥ 3.0.0)
Published: 2024-09-11
DOI: 10.32614/CRAN.package.mlr3measures
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>
BugReports: https://github.com/mlr-org/mlr3measures/issues
License: LGPL-3
URL: https:///mlr3measures.mlr-org.com, https://github.com/mlr-org/mlr3measures
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3measures results

Documentation:

Reference manual: mlr3measures.pdf

Downloads:

Package source: mlr3measures_1.0.0.tar.gz
Windows binaries: r-devel: mlr3measures_1.0.0.zip, r-release: mlr3measures_1.0.0.zip, r-oldrel: mlr3measures_1.0.0.zip
macOS binaries: r-release (arm64): mlr3measures_1.0.0.tgz, r-oldrel (arm64): mlr3measures_1.0.0.tgz, r-release (x86_64): mlr3measures_1.0.0.tgz, r-oldrel (x86_64): mlr3measures_1.0.0.tgz
Old sources: mlr3measures archive

Reverse dependencies:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.