@@ -15,7 +15,6 @@ We compare \cfbi especially with the recent \contraction technique of \citet[KDD
The implementation uses Python 3.6.9 and PyStan v.2.19.0.0 with cmdstanpy 0.4.3 -- and will be made available online upon publication.
\subsection{Synthetic Data}
\label{sec:syntheticsetting}
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@@ -100,10 +99,16 @@ Considering a decision maker with leniency $\leniency = \leniencyValue$ who deci
s \leq F^{-1}(\leniencyValue).
\end{equation}
%
Since the distribution $F$ is given and fixed, such decisions for different cases happen independently based on their risk score.
See Appendix~\ref{sec:independent} for more details.
%
Since in our setting the distribution $F$ is given and fixed, such decisions for different cases happen independently based on their risk score.
%
Because of this, we refer to this type of decision makers as \independent.
%OUT TO GET A SUBMITTABLE VERSION
%\todo{MM}{Make sure Appendix~\ref{sec:independent} is correct.} \acomment{Appendix has F as the cumulative distribution function, here we have G.} %RL: Of the presented decision-makers, independent is the only one that could be deployed in an online setting. You couldn't deploy batch to make decisions on single subjects.
In addition, we also experiment with a different type of decision makers, namely \batch, also used in \cite{lakkaraju2017selective}.
