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 [aut], Martin Binder [ctb], Marc Becker [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 In views: MachineLearning CRAN checks: mlr3measures results Documentation: Reference manual: mlr3measures.html , 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, mlr3inferr, mlr3shiny Reverse suggests: mlexperiments, mllrnrs, mlr3filters, mlr3pipelines, mlsurvlrnrs Linking:Please use the canonical form https://CRAN.R-project.org/package=mlr3measures to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4