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An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | UBL |
An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks |
Statements
7 October 2023
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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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expanded from: GPL (≥ 2) (English)
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Identifiers
25 October 2023
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