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Equalized odds

Equalized odds, also referred to as conditional procedure accuracy equality and disparate mistreatment, is a measure of fairness in machine learning. A classifier satisfies this definition if the subjects in the protected and unprotected groups have equal true positive rate and equal false positive rate, satisfying the formula:

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Fairness in machine learning
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Equalized odds

Nodes3
Edges2
Triples0
Avg. degree1.33
Density0.666667
Components1

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displaystyle equalized odds groups rate concept also fairness machine learning referred conditional procedure accuracy equality disparate mistreatment measure classifier satisfies

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