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: | 0.5.0 |
Depends: | R (≥ 3.1.0) |
Imports: | checkmate, PRROC |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2022-08-05 |
Author: | Michel Lang [cre, aut], Martin Binder [ctb] |
Maintainer: | Michel Lang <michellang at gmail.com> |
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 |
Reference manual: | mlr3measures.pdf |
Package source: | mlr3measures_0.5.0.tar.gz |
Windows binaries: | r-devel: mlr3measures_0.5.0.zip, r-release: mlr3measures_0.5.0.zip, r-oldrel: mlr3measures_0.5.0.zip |
macOS binaries: | r-release (arm64): mlr3measures_0.5.0.tgz, r-oldrel (arm64): mlr3measures_0.5.0.tgz, r-release (x86_64): mlr3measures_0.5.0.tgz, r-oldrel (x86_64): mlr3measures_0.5.0.tgz |
Old sources: | mlr3measures archive |
Reverse imports: | mlr3, mlr3fairness, mlr3shiny |
Reverse suggests: | mlr3filters, mlr3pipelines |
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