paobranco/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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | GPL (>=2) |
| Version | 0.0.7 |
| URL | https://github.com/paobranco/UBL |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
