NHEMOtree: Non-hierarchical evolutionary multi-objective tree learner to perform cost-sensitive classification

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.

Version: 1.0
Depends: partykit, emoa, sets, rpart
Published: 2013-05-09
Author: Swaantje Casjens
Maintainer: Swaantje Casjens <swaantje.casjens at tu-dortmund.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: NHEMOtree results

Downloads:

Reference manual: NHEMOtree.pdf
Package source: NHEMOtree_1.0.tar.gz
Windows binaries: r-devel: NHEMOtree_1.0.zip, r-release: NHEMOtree_1.0.zip, r-oldrel: NHEMOtree_1.0.zip
OS X Snow Leopard binaries: r-release: NHEMOtree_1.0.tgz, r-oldrel: NHEMOtree_1.0.tgz
OS X Mavericks binaries: r-release: NHEMOtree_1.0.tgz