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docs/_build/html/_sources/guides/testing/fairness.rst.txt

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@@ -19,7 +19,7 @@ PIML supports various fairness metrics, as shown below. In specific, we use the
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.. math::
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\begin{align}
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AIR = \frac{(TP_{p}+FP_{p}) / n_{r}}{(TP_{r}+FP_{r}) / n_{p}}.
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AIR = \frac{(TP_{p}+FP_{p}) / n_{p}}{(TP_{r}+FP_{r}) / n_{r}}.
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\end{align}
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- **Precision**: Positive predictive value disparity ratio.

docs/_build/html/guides/testing/fairness.html

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@@ -257,7 +257,7 @@ <h2><span class="section-number">6.7.1. </span>Fairness Metrics<a class="headerl
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</ul>
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<div class="math notranslate nohighlight">
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\[\begin{align}
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AIR = \frac{(TP_{p}+FP_{p}) / n_{r}}{(TP_{r}+FP_{r}) / n_{p}}.
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AIR = \frac{(TP_{p}+FP_{p}) / n_{p}}{(TP_{r}+FP_{r}) / n_{r}}.
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\end{align}\]</div>
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<ul class="simple">
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<li><p><strong>Precision</strong>: Positive predictive value disparity ratio.</p></li>

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