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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: 0.3-3
Depends: R (≥ 4.3)
Imports: grDevices, lattice, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, reticulate, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-03-18
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://serkor1.github.io/SLmetrics/, https://github.com/serkor1/SLmetrics
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: SLmetrics results

Documentation:

Reference manual: SLmetrics.pdf
Vignettes: vignette_ROC-PRC (source, R code)
Classification Metrics (source, R code)
Regression Metrics (source, R code)

Downloads:

Package source: SLmetrics_0.3-3.tar.gz
Windows binaries: r-devel: not available, r-release: SLmetrics_0.3-3.zip, r-oldrel: SLmetrics_0.3-3.zip
macOS binaries: r-devel (arm64): SLmetrics_0.3-3.tgz, r-release (arm64): SLmetrics_0.3-3.tgz, r-oldrel (arm64): SLmetrics_0.3-3.tgz, r-devel (x86_64): SLmetrics_0.3-3.tgz, r-release (x86_64): SLmetrics_0.3-3.tgz, r-oldrel (x86_64): SLmetrics_0.3-3.tgz

Linking:

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