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MLmetrics: Machine Learning Evaluation Metrics

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

Documentation:

Reference manual: MLmetrics.pdf

Downloads:

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 dependencies:

Reverse imports: alookr, boostingDEA, daltoolbox, dendroTools, evinf, GroupBN, gspcr, Imneuron, ImNN, InterNL, less, lilikoi, mikropml, pheble, yager
Reverse suggests: caret, cornet, etree, isotree

Linking:

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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