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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.
Package details |
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Author | F.J. Martinez-de-Pison <fjmartin@unirioja.es> |
Maintainer | F.J. Martinez-de-Pison <fjmartin@unirioja.es> |
License | GPL (>= 2) |
Version | 0.9.5 |
URL | https://github.com/jpison/GAparsimony |
Package repository | View on CRAN |
Installation |
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