Other packages > Find by keyword >

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 Aug. 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
Other R packages that UBL depends, imports, suggests or enhances
Complete documentation for UBL
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA