noisemodel: Noise Models for Classification Datasets
Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels, attributes and both simultaneously.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caret,nnet,e1071,FNN,classInt,ggplot2,ExtDist,lsr,stringr,RColorBrewer,RSNNS,C50 |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2022-10-17 |
| DOI: | 10.32614/CRAN.package.noisemodel |
| Author: | José A. Sáez [aut, cre] |
| Maintainer: | José A. Sáez <joseasaezm at ugr.es> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | noisemodel results |
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