\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
Superset & proximal & NewCocominNative & None & lsr & 79 & 232 & 0 \\
Superset & precise & NewCocominMedian & None & m5p & 81 & 230 & 0 \\
Subset & precise & LocalWrapper & None & lc & 83 & 228 & 0 \\
Superset & proximal & NewCocominNative & None & m5p & 86 & 225 & 0 \\
Superset & precise & LSRWrapper & None & lsr & 87 & 224 & 0 \\
Superset & precise & LSRWrapper & None & m5p & 87 & 224 & 0 \\
Superset & proximal & NewCocominMedian & None & lsr & 87 & 224 & 0 \\
Superset & precise & OldCocomin & None & lsr & 89 & 222 & 0 \\
Superset & precise & OldCocomin & None & m5p & 89 & 222 & 0 \\
Superset & precise & NewCocominMedian & None & lsr & 90 & 221 & 0 \\
\hline
\end{tabular}
\end{center}
\end{scriptsize}
\caption{Top 10 methods for subset 12 using MER evaluation criterion.}
\label{table:top10Subset12-MER}
\end{table}
