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 | 
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