\begin{table}
\begin{scriptsize}
\begin{center}
\begin{tabular}{|l|l|l|l|l|c|c|c|}
\hline
Train & Numeric & Column Pruner & Row Pruner & Learner & Ties & Wins & Losses \\ 
Type & Estimation & &  &  &  &  &  \\ 
\hline
Subset & precise & None & StaticLocomo & lc & 25 & 286 & 0 \\
Subset & precise & OldCocomin & StaticLocomo & lc & 25 & 286 & 0 \\
Subset & precise & NewCocominMedian & StaticLocomo & lc & 28 & 283 & 0 \\
Subset & precise & NewCocominNative & StaticLocomo & lc & 33 & 278 & 0 \\
Subset & precise & None & None & cocomin1 & 47 & 264 & 0 \\
Subset & precise & OldCocomin & None & lc & 47 & 264 & 0 \\
Subset & precise & None & None & lc & 54 & 257 & 0 \\
Subset & precise & NewCocominMedian & None & lc & 56 & 255 & 0 \\
Subset & precise & None & None & cocomost & 57 & 254 & 0 \\
Subset & precise & OldCocomin & DynamicLocomoMedian & lc & 65 & 246 & 0 \\
\hline
\end{tabular}
\end{center}
\end{scriptsize}
\caption{Top 10 methods for subset 14 using MER evaluation criterion.}
\label{table:top10Subset14-MER}
\end{table}
