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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.
Getting started
Browse package contents
Package details |
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| Author | Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>), Kevin Denis [aut] |
| Maintainer | Philippe Grosjean <phgrosjean@sciviews.org> |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| URL | https://www.sciviews.org/mlearning/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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