deletions | additions       diff --git a/The_technique_we_used_to__.tex b/The_technique_we_used_to__.tex  index 0dc00c4..79c01b2 100644  --- a/The_technique_we_used_to__.tex  +++ b/The_technique_we_used_to__.tex 
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The technique we used to turn a regression problem (of the type: estimate the correct level of a trait) into a classification problem is to separate the distribution into three parts: low values, middle values, high values. However, instead of having three classes, we focused on recognizing the low/high values and ignoring the middle ones. To separate the values we use the first and the third quartiles of each distribution. The following tables show the values of these quartiles and the number of users selected for the two resulting classes.  \begin{tabular}{c|cc|}  \hline \cline{2-3}  & \multicolumn{2}{|c|}{Ope} \\  \hline  Self \multicolumn{1}{|c|}{Self}  & 2.0 & 4.0 \\ \hline  Attr \multicolumn{1}{|c|}{Attr}  & -0.2 & 0.85 \\ \end{tabular}