Machine Learning Performance Evaluation on Steroids [R package SLmetrics version 0.3-4]

Serkan Korkmaz

SLmetrics: Machine Learning Performance Evaluation on Steroids

Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.

Version: 0.3-4

Depends: R (≥ 4.0.0)

Imports: grDevices, lattice, Rcpp

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, reticulate, rmarkdown, testthat (≥ 3.0.0)

Published: 2025年06月21日

DOI: 10.32614/CRAN.package.SLmetrics

Author: Serkan Korkmaz ORCID iD [cre, aut, cph]

Maintainer: Serkan Korkmaz <serkor1 at duck.com>

BugReports: https://github.com/serkor1/SLmetrics/issues

License: GPL (≥ 3)

URL: https://slmetrics-docs.gitbook.io/v1, https://github.com/serkor1/SLmetrics

NeedsCompilation: yes

SystemRequirements: C++17

Materials: README, NEWS

In views: HighPerformanceComputing, MachineLearning

CRAN checks: SLmetrics results

Documentation:

Reference manual: SLmetrics.html , SLmetrics.pdf

Vignettes: Classification Metrics (source, R code)
Regression Metrics (source, R code)

Downloads:

Package source: SLmetrics_0.3-4.tar.gz

Windows binaries: r-devel: SLmetrics_0.3-4.zip, r-release: SLmetrics_0.3-4.zip, r-oldrel: SLmetrics_0.3-4.zip

macOS binaries: r-release (arm64): SLmetrics_0.3-4.tgz, r-oldrel (arm64): SLmetrics_0.3-4.tgz, r-release (x86_64): SLmetrics_0.3-4.tgz, r-oldrel (x86_64): SLmetrics_0.3-4.tgz

Old sources: SLmetrics archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SLmetrics to link to this page.