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
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: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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