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Package ‘UBL’
July 13, 2017
Type Package
Title An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
Description
Provides a set of functions that can be used to obtain better predictive performance on costsensitive and cost/benefits tasks (for both regression and classification). This includes resampling approaches that modify the original data set biasing it towards the user preferences.
The text was updated successfully, but these errors were encountered:
We were actually interested in SMOGN (Utility Based Regression), which internally uses UBL.
For more infor about SMOGN, see this repository for branco et al: https://github.com/paobranco/SMOGN-LIDTA17. It also accounts for data resampling techniques, and since our problem is a regression problem, then UBR (utility based regression) is the best option.
great code thanks
1
do you know Utility-based regression UBR code only in python, not R?
2
why you did not used this
https://cran.r-project.org/web/packages/UBL/UBL.pdf
Package ‘UBL’
July 13, 2017
Type Package
Title An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
Description
Provides a set of functions that can be used to obtain better predictive performance on costsensitive and cost/benefits tasks (for both regression and classification). This includes resampling approaches that modify the original data set biasing it towards the user preferences.
The text was updated successfully, but these errors were encountered: