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
|Author||Jose M. Moyano [aut, cre], Luciano Sanchez Ramos [aut], Oliver Sanchez Marin [ctb]|
|Date of publication||2017-08-10 15:12:57 UTC|
|Maintainer||Jose M. Moyano <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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