Description
An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and ….
Description
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.