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.

Documentation

Manual: UBL.pdf
Vignette: None available.

Maintainer: Paula Branco <paobranco at gmail.com>

Author(s): Paula Branco*, Rita Ribeiro*, Luis Torgo*

Install package and any missing dependencies by running this line in your R console:

install.packages("UBL")

Depends R(>= 3.0), methods, grDevices, stats
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Suggests MASS, rpart, testthat, DMwR, ggplot2
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Package UBL
Materials
URL https://github.com/paobranco/UBL
Task Views
Version 0.0.5
Published 2016-07-13
License GPL (>= 2)
BugReports https://github.com/paobranco/UBL/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks UBL check results
Package source UBL_0.0.5.tar.gz