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UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
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.
Getting started
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Package details |
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| Author | Paula Branco [aut, cre], Rita Ribeiro [aut, ctb], Luis Torgo [aut, ctb] |
| Maintainer | Paula Branco <paobranco@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.0.9 |
| URL | https://github.com/paobranco/UBL |
| Package repository | View on CRAN |
| Installation |
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