NHEMOtree performs cost-sensitive classification by solving the two-objective optimization problem of minimizing misclassification rate and minimizing total costs for classification. The three methods comprised in NHEMOtree are based on EMOAs with either tree representation or bitstring representation with an enclosed classification tree algorithm.
|Depends:||partykit, emoa, sets, rpart|
|Maintainer:||Swaantje Casjens <swaantje.casjens at tu-dortmund.de>|
|CRAN checks:||NHEMOtree results|
|Windows binaries:||r-devel: NHEMOtree_1.0.zip, r-release: NHEMOtree_1.0.zip, r-oldrel: NHEMOtree_1.0.zip|
|OS X Mavericks binaries:||r-release: NHEMOtree_1.0.tgz, r-oldrel: NHEMOtree_1.0.tgz|
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