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.

Package details

AuthorPaula Branco [aut, cre], Rita Ribeiro [aut, ctb], Luis Torgo [aut, ctb]
MaintainerPaula Branco <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/paobranco/UBL
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the UBL package in your browser

Any scripts or data that you put into this service are public.

UBL documentation built on May 1, 2019, 7:29 p.m.