data requirements
prediction probabilities
Needs probabilistic predictions from the model
3 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Equalised Odds Post-Processing | Algorithmic | Architecture/model Agnostic Paradigm/discriminative +3 | Any | A post-processing fairness technique based on Hardt et al.'s seminal work that adjusts classification thresholds after... | ||
| Threshold Optimiser | Algorithmic | Architecture/model Agnostic Paradigm/discriminative +3 | Any | Threshold Optimiser adjusts decision thresholds for different demographic groups after model training to satisfy... | ||
| Reject Option Classification | Algorithmic | Architecture/model Agnostic Paradigm/supervised +2 | Any | A post-processing fairness technique that modifies predictions in regions of high uncertainty to favour disadvantaged... |
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