A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification
With the rapid development of machine learning in the field of classification, the classification fairness has become the research emphasis second to prediction accuracy. However, the data bias and algorithmic discrimination that affect the fair classification of models have not been well resolved,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2023.2184310 |