CSMES: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions

Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as described in De bock et al. (2020) <doi:10.1016/j.ejor.2020.01.052>) for cost-sensitive learning under unknown cost conditions.

Version: 1.0.0
Imports: mco (≥ 1.0-15.1), ROCR (≥ 1.0-7), rpart (≥ 4.1-15), zoo (≥ 1.8-6), graphics (≥ 3.5.1), stats (≥ 3.5.1), caTools (≥ 1.18.0), data.table (≥ 1.12.2)
Published: 2020-02-22
Author: Koen W. De Bock, Kristof Coussement and Stefan Lessmann
Maintainer: Koen W. De Bock <kdebock at audencia.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CSMES results

Downloads:

Reference manual: CSMES.pdf
Package source: CSMES_1.0.0.tar.gz
Windows binaries: r-devel: CSMES_1.0.0.zip, r-devel-gcc8: CSMES_1.0.0.zip, r-release: CSMES_1.0.0.zip, r-oldrel: not available
OS X binaries: r-release: CSMES_1.0.0.tgz, r-oldrel: not available

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