@@ -89,7 +89,7 @@ This is a reasonable assumption to make in settings where decision makers have a
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For example, an experienced judge who has tried a large volume and variety of defendants may have a good idea about the various cases that appear at court and which of them pose higher risk.
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Considering a decision maker with leniency $\leniency=\leniencyValue$ who decides a case with risk score $s$, a positive decision is made only if $s$ is in the \leniencyValue portion of the lowest scores according to $F$, for example if $s + e_\decision\leq F^{-1}(\leniencyValue)$, where $e_\decision\sim\gaussian{0}{0.1}$, then $\decision=1$.
Considering a decision maker with leniency $\leniency=\leniencyValue$ who decides a case with risk score $s$, a positive decision is made only if $s$ is in the \leniencyValue portion of the lowest scores according to $F$.
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Since in our setting the distribution $F$ is given and fixed, such decisions for different cases happen independently based on their risk score.
