deletions | additions       diff --git a/Average_accuracy_per_user_Finding__.tex b/Average_accuracy_per_user_Finding__.tex  index 915da7e..cb2a844 100644  --- a/Average_accuracy_per_user_Finding__.tex  +++ b/Average_accuracy_per_user_Finding__.tex 
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Comments of the above graphs:  \begin{itemize}  \item the graph for NEU(S) is really weird; it's mostly bimodal, with the classifier doing a perfect job 50\% of the time; does this imply a problem with the labels?  \item the graph for NEU(A) shows a very good classifier with some "bad" users  \end{itemize}  Average accuracy per-user. Finding CONFOUNDING users.