Package: UBL
Type: Package
Title: An Implementation of Several 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, cost-based methods, special purpose evaluation metrics as well as specific learning systems.
Version: 0.0.4
Depends: R(>= 3.0), methods, grDevices, stats
Suggests: MASS, rpart, testthat, DMwR
Date: 2016-04-28
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
NeedsCompilation: yes
Packaged: 2016-04-28 14:45:41 UTC; pbranco
Author: Paula Branco [aut, cre],
  Rita Ribeiro [aut, ctb],
  Luis Torgo [aut, ctb]
Maintainer: Paula Branco <paobranco@gmail.com>
Repository: CRAN
Date/Publication: 2016-04-29 07:34:36
