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.
- Version0.0.9
- R version≥ 3.0 methods
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- UBL citation info
- Last release10/07/2023
Team
Paula Branco
Luis Torgo
Show author detailsRolesAuthor, ContributorRita Ribeiro
Show author detailsRolesAuthor, Contributor
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- Depends5 packages
- Suggests6 packages
- Reverse Imports1 package