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 |
| Published: |
2021-03-29 |
| Author: |
Paula Branco [aut, cre],
Rita Ribeiro [aut, ctb],
Luis Torgo [aut, ctb] |
| Maintainer: |
Paula Branco <paobranco at gmail.com> |
| BugReports: |
https://github.com/paobranco/UBL/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/paobranco/UBL |
| NeedsCompilation: |
yes |
| Citation: |
UBL citation info |
| CRAN checks: |
UBL results |