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>
License: GPL-2
NeedsCompilation: no
CRAN checks: MLmetrics results


Reference manual: MLmetrics.pdf


Package source: MLmetrics_1.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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, etree, isotree
Reverse enhances: cornet


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