UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
Version 0.0.6

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]
Date of publication2017-07-13 13:01:35 UTC
MaintainerPaula Branco <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/paobranco/UBL
Package repositoryView on CRAN
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UBL documentation built on July 13, 2017, 5:02 p.m.