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.


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install.packages("UBL")

0.0.6 by Paula Branco, 4 months ago


https://github.com/paobranco/UBL


Report a bug at https://github.com/paobranco/UBL/issues


Browse source code at https://github.com/cran/UBL


Authors: Paula Branco [aut, cre], Rita Ribeiro [aut, ctb], Luis Torgo [aut, ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on methods, grDevices, graphics, stats, MBA, gstat, automap, sp, randomForest

Suggests MASS, rpart, testthat, DMwR, ggplot2, e1071


See at CRAN