Fairness
Statistical Parity
Ensures equal outcomes across groups
4 techniques in this subcategory
4 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Demographic Parity Assessment | Algorithmic | Architecture/model Agnostic Paradigm/supervised +1 | Any | Demographic Parity Assessment evaluates whether a model produces equal positive prediction rates across different... | ||
| Reweighing | Algorithmic | Architecture/model Agnostic Paradigm/supervised +2 | Any | Reweighing is a pre-processing technique that mitigates bias by assigning different weights to training examples based... | ||
| Average Odds Difference | Metric | Architecture/model Agnostic Paradigm/supervised +1 | Any | Average Odds Difference measures fairness by calculating the average difference in both false positive rates and true... | ||
| Bayesian Fairness Regularization | Algorithmic | Architecture/model Agnostic Paradigm/parametric +4 | Any | Bayesian Fairness Regularization incorporates fairness constraints into machine learning models through Bayesian... |
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