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UBL
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.UBL . https://github.com/paobranco/UBL/issues . https://github.com/paobranco/UBL . UBL citation info . UBL results . UBL.pdf . UBL_0.0.9.tar.gz . UBL_0.0.9.zip . UBL_0.0.9.zip . UBL_0.0.9.zip . UBL_0.0.9.tgz . UBL_0.0.9.tgz . UBL_0.0.9.tgz . UBL_0.0.9.tgz . UBL_0.0.9.tgz . UBL_0.0.9.tgz . UBL archive . https://CRAN.R-project.org/package=UBL .
First Published: 2016-04-26
Latest Update: 2023-10-07
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 11 Apr. 2025.
Previous versions and publish date:
Other packages that cited UBL R package
View UBL citation profile
Other R packages that UBL depends,
imports, suggests or enhances
Complete documentation for UBL
Functions, R codes and Examples using
the UBL R package
Some associated functions: AdasynClassif . BagModel-class . BaggingRegress . CNNClassif . Distances . ENNClassif . EvalClassifMetrics . EvalRegressMetrics . ImbC . ImbR . ImpSampClassif . ImpSampRegress . NCLClassif . OSSClassif . ReBagg . SMOGNClassif . SMOGNRegress . TomekClassif . UBL-package . UtilInterpol . UtilOptimClassif . UtilOptimRegress . gaussNoiseClassif . gaussNoiseRegress . neighbours . phi . phiControl . predict-BagModel-method . randOverClassif . randOverRegress . randUnderClassif . randUnderRegress . smoteClassif . smoteRegress .
Some associated R codes: AdasynClassif.R . AuxsClassPdf.R . BaggingRegress.R . CNNClassif.R . CallFPhi.R . Distances.R . ENNClassif.R . ImpSampClassif.R . ImpSampRegress.R . NCLClassif.R . Neighbours.R . OSSClassif.R . ReBaggRegress.R . TomekClassif.R . UtilInterpol.R . UtilOptimClassif.R . UtilOptimRegress.R . classDef.R . classPdf.R . gaussNoiseClassif.R . gaussNoiseRegress.R . methods.R . metrics.R . phiFunc.R . randOverClassif.R . randOverRegress.R . randUnderClassif.R . randUnderRegress.R . smognClassif.R . smognRegress.R . smoteClassif.R . smoteRegress.R . zzz.R . Full UBL package functions and examples
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