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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:2025-06-21
DOI:10.32614/CRAN.package.SLmetrics
Author:Serkan KorkmazORCID 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 formhttps://CRAN.R-project.org/package=SLmetricsto link to this page.


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