Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <doi:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
Version: 0.9.5 Depends: R (≥ 3.0), methods, foreach, iterators Imports: stats, graphics, grDevices, utils Suggests: parallel, doParallel, doRNG (≥ 1.6), knitr (≥ 1.8), lhs, MASS, caret, mlbench, e1071, nnet, kernlab Published: 2023-04-07 DOI: 10.32614/CRAN.package.GAparsimony Author: F.J. Martinez-de-Pison Maintainer: F.J. Martinez-de-Pison <fjmartin at unirioja.es> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/jpison/GAparsimony NeedsCompilation: no Materials: NEWS CRAN checks: GAparsimony results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GAparsimony to link to this page.
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