UBL (0.0.6)

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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.

Maintainer: Paula Branco
Author(s): Paula Branco [aut, cre], Rita Ribeiro [aut, ctb], Luis Torgo [aut, ctb]

License: GPL (>= 2)

Uses: automap, gstat, MBA, randomForest, sp, e1071, ggplot2, rpart, MASS, testthat, DMwR

Released over 2 years ago.

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