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The full list of transforms supported by MLTest can be found in the <a href="https://docs.lakera.ai/configuration/robustness">documentation</a>.
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<b>Fairness tests</b>: these tests measure how fair your model is. That means, whether its performance is dependent
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We used two types of fairness tests on the age and gender of a person.
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The <code>Equalized Odds</code>
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The <code>Predictive Equality</code>
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More fairness tests supported by MLTest can be found in the <a href="https://docs.lakera.ai/configuration/fairness">documentation</a
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The full list of transforms supported by MLTest can be found in the <a target="_blank" href="https://docs.lakera.ai/configuration/robustness">documentation</a>.
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</p>
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<p>
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<b>Fairness tests</b>: these tests measure how fair your model is. That means, whether its performance is dependent
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</p>
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<p>
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We used two types of fairness tests on the age and gender of a person.
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The <code>Equalized Odds</code> test checks that true positive and false positive rates are equal amongst protected attributes.
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The <code>Predictive Equality</code> test checks that the false positive rates are equal amongst protected attributes.
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</p>
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More fairness tests supported by MLTest can be found in the <a target="_blank" href="https://docs.lakera.ai/configuration/fairness">documentation</a>.
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</p>
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