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mlearning: Machine Learning Algorithms with Unified Interface and Confusion Matrices

A unified interface is provided to various machine learning algorithms like linear or quadratic discriminant analysis, k-nearest neighbors, random forest, support vector machine, ... It allows to train, test, and apply cross-validation using similar functions and function arguments with a minimalist and clean, formula-based interface. Missing data are processed the same way as base and stats R functions for all algorithms, both in training and testing. Confusion matrices are also provided with a rich set of metrics calculated and a few specific plots.

Version: 1.2.1
Depends: R (≥ 3.0.4)
Imports: stats, grDevices, class, nnet, MASS, e1071, randomForest, ipred, rpart
Suggests: mlbench, datasets, RColorBrewer, spelling, knitr, rmarkdown, covr
Published: 2023-08-30
DOI: 10.32614/CRAN.package.mlearning
Author: Philippe Grosjean ORCID iD [aut, cre], Kevin Denis [aut]
Maintainer: Philippe Grosjean <phgrosjean at sciviews.org>
BugReports: https://github.com/SciViews/mlearning/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.sciviews.org/mlearning/
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: mlearning results

Documentation:

Reference manual: mlearning.pdf

Downloads:

Package source: mlearning_1.2.1.tar.gz
Windows binaries: r-devel: mlearning_1.2.1.zip, r-release: mlearning_1.2.1.zip, r-oldrel: mlearning_1.2.1.zip
macOS binaries: r-release (arm64): mlearning_1.2.1.tgz, r-oldrel (arm64): mlearning_1.2.1.tgz, r-release (x86_64): mlearning_1.2.1.tgz, r-oldrel (x86_64): mlearning_1.2.1.tgz
Old sources: mlearning archive

Reverse dependencies:

Reverse depends: zooimage

Linking:

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