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UBL  

An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("UBL", "0.0.9")



Attach the package and use:
library("UBL")
Maintained by
Paula Branco
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-26
Latest Update:
Description:
Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.
How to cite:
Paula Branco (2016). UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks. R package version 0.0.9, https://cran.r-project.org/web/packages/UBL. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:28), 0.0.3 (2016-04-26 01:28), 0.0.4 (2016-04-29 07:34), 0.0.5 (2016-07-13 16:17), 0.0.6 (2017-07-13 15:01), 0.0.7 (2021-03-29 08:10), 0.0.9 (2023-10-07 22:40)
Other packages that cited UBL R package
View UBL citation profile
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Complete documentation for UBL
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