DESCRIPTION

Package: UBL
Type: Package
Title: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
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.
Version: 0.0.7
Depends: R(>= 3.0), methods, grDevices, graphics, stats, MBA, gstat, automap, sp, randomForest
Suggests: MASS, rpart, testthat, DMwR2, ggplot2, e1071
Date: 2021-03-29
Authors@R: c(person("Paula", "Branco", email = "paobranco@gmail.com", role = c("aut", "cre")), person("Rita", "Ribeiro", email = "rpribeiro@dcc.fc.up.pt", role = c("aut", "ctb")), person("Luis", "Torgo", email = "ltorgo@dcc.fc.up.pt", role = c("aut", "ctb")))
URL: https://github.com/paobranco/UBL
BugReports: https://github.com/paobranco/UBL/issues
License: GPL (>=2)
LazyLoad: yes
LazyData: yes