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: |
1.0.1 |
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: |
2023-02-03 |
DOI: |
10.32614/CRAN.package.CSMES |
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 |
Documentation:
Downloads:
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