\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 & proximal & None & None & e & 92 & 219 & 0 \\
Superset & proximal & None & None & e & 92 & 219 & 0 \\
Superset & proximal & NewCocominNative & None & lsr & 94 & 217 & 0 \\
Subset & precise & LSRWrapperNoLog & None & m5p & 97 & 214 & 0 \\
Subset & precise & M5PWrapperNoLog & None & m5p & 103 & 208 & 0 \\
Subset & precise & LocalWrapper & None & lc & 107 & 204 & 0 \\
Superset & proximal & NewCocominNative & None & m5p & 110 & 201 & 0 \\
Subset & precise & M5PWrapper & None & lsr & 111 & 200 & 0 \\
Superset & proximal & None & None & lsr & 112 & 199 & 0 \\
Subset & precise & LSRWrapperNoLog & None & lsr & 113 & 198 & 0 \\
\hline
\end{tabular}
\end{center}
\end{scriptsize}
\caption{Top 10 methods for subset 17 using MER evaluation criterion.}
\label{table:top10Subset17-MER}
\end{table}
