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CSMES  

Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions
View on CRAN: Click here


Download and install CSMES package within the R console
Install from CRAN:
install.packages("CSMES")

Install from Github:
library("remotes")
install_github("cran/CSMES")

Install by package version:
library("remotes")
install_version("CSMES", "1.0.1")



Attach the package and use:
library("CSMES")
Maintained by
Koen W. De Bock
[Scholar Profile | Author Map]
First Published: 2020-02-22
Latest Update: 2023-02-03
Description:
Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as described in De bock et al. (2020) ) for cost-sensitive learning under unknown cost conditions.
How to cite:
Koen W. De Bock (2020). CSMES: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions. R package version 1.0.1, https://cran.r-project.org/web/packages/CSMES. Accessed 09 Apr. 2025.
Previous versions and publish date:
1.0.0 (2020-02-22 10:30)
Other packages that cited CSMES R package
View CSMES citation profile
Other R packages that CSMES depends, imports, suggests or enhances
Complete documentation for CSMES
Functions, R codes and Examples using the CSMES R package
Some associated functions: BFP . CSMES.ensNomCurve . CSMES.ensSel . CSMES.predict . CSMES.predictPareto . brierCurve . plotBrierCurve . 
Some associated R codes: BFP.R . CSMES.ensNomCurve.R . CSMES.ensSel.R . CSMES.predict.R . CSMES.predictPareto.R . brierCurve.R . plotBrierCurve.R .  Full CSMES package functions and examples
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