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A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
Version: | 1.1.3 |
Depends: | R (≥ 2.10) |
Imports: | stats, utils, ROCR |
Suggests: | e1071 |
Published: | 2024-04-13 |
DOI: | 10.32614/CRAN.package.MLmetrics |
Author: | Yachen Yan [aut, cre] |
Maintainer: | Yachen Yan <yanyachen21 at gmail.com> |
BugReports: | https://github.com/yanyachen/MLmetrics/issues |
License: | GPL-2 |
URL: | https://github.com/yanyachen/MLmetrics |
NeedsCompilation: | no |
CRAN checks: | MLmetrics results |
Reference manual: | MLmetrics.pdf |
Package source: | MLmetrics_1.1.3.tar.gz |
Windows binaries: | r-devel: MLmetrics_1.1.3.zip, r-release: MLmetrics_1.1.3.zip, r-oldrel: MLmetrics_1.1.3.zip |
macOS binaries: | r-release (arm64): MLmetrics_1.1.3.tgz, r-oldrel (arm64): MLmetrics_1.1.3.tgz, r-release (x86_64): MLmetrics_1.1.3.tgz, r-oldrel (x86_64): MLmetrics_1.1.3.tgz |
Old sources: | MLmetrics archive |
Reverse imports: | alookr, boostingDEA, daltoolbox, dendroTools, evinf, GroupBN, gspcr, Imneuron, ImNN, InterNL, less, lilikoi, mikropml, pheble, yager |
Reverse suggests: | caret, cornet, etree, isotree |
Please use the canonical form https://CRAN.R-project.org/package=MLmetrics to link to this page.
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.
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