\begin{figure}[!t]
\begin{center}
{\scriptsize
\begin{tabular}{| r        | r         | c         | c          |        @{}c         |}\hline
                           &           & Median    & Spread     & Reduction Quartiles \\
                   Dataset & Treatment & Reduc     & Reduc      &        50\% \\\hline

kemerer & W2 &   7\%  &  48\%  &  \boxplot{0}{7.46835}{7.46835}{34.9446}{42.4129}\\ 
kemerer & W &   0\%  &  44\%  &  \boxplot{0}{0}{0}{38.1477}{38.1477}\\\hline 
miyazaki* & W2 &   75\%  &  24\%  &  \boxplot{56.509}{18.5377}{75.0468}{4.97179}{80.0185}\\ 
miyazaki & W &   46\%  &  45\%  &  \boxplot{27.5821}{18.7732}{46.3553}{26.0539}{72.4092}\\\hline 
telecom1 & W &   92\%  &  23\%  &  \boxplot{77.0164}{14.827}{91.8434}{7.81869}{99.6621}\\ 
telecom1 & W2 &   81\%  &  34\%  &  \boxplot{64.386}{17.2267}{81.6127}{16.8201}{98.4329}\\\hline 
china & W2 &   34\%  &  67\%  &  \boxplot{0}{34.3266}{34.3266}{32.9528}{67.2794}\\ 
china & W &   1\%  &  36\%  &  \boxplot{0}{0.871027}{0.871027}{35.2729}{36.1439}\\\hline 
finnish & W2 &   26\%  &  28\%  &  \boxplot{1.98386}{24.3262}{26.31}{3.78991}{30.1}\\ 
finnish & W &   18\%  &  29\%  &  \boxplot{0}{18.0242}{18.0242}{10.9749}{28.9991}\\\hline 
\end{tabular}}
\end{center}
\caption{Performance of W2's Overlap relevancy filtering vs W's kth nearest-neighbor filtering for 5 unique datasets.}
\label{fig:bestoverlap-vs-knn}
\end{figure}
