'KEEL' is a popular Java software for a large number of different knowledge data discovery tasks. This package takes the advantages of 'KEEL' and R, allowing to use 'KEEL' algorithms in simple R code. The implemented R code layer between R and 'KEEL' makes easy both using 'KEEL' algorithms in R as implementing new algorithms for 'RKEEL' in a very simple way. It includes more than 100 algorithms for classification, regression, preprocess, association rules and imbalance learning, which allows a more complete experimentation process. For more information about KEEL, see <http://www.keel.es/>.
|Author||Jose M. Moyano [aut, cre], Luciano Sanchez [aut], Oliver Sanchez [ctb], Jesus Alcala-Fernandez [ctb]|
|Maintainer||Jose M. Moyano <email@example.com>|
|Package repository||View on CRAN|
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