\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 & 70 & 241 & 0 \\
Superset & precise & M5PWrapper & None & lsr & 78 & 233 & 0 \\
Superset & precise & M5PWrapper & None & m5p & 78 & 233 & 0 \\
Superset & proximal & NewCocominNative & None & m5p & 83 & 228 & 0 \\
Superset & precise & LSRWrapper & None & lsr & 84 & 227 & 0 \\
Superset & precise & LSRWrapper & None & m5p & 84 & 227 & 0 \\
Superset & proximal & NewCocominMedian & None & m5p & 93 & 218 & 0 \\
Superset & precise & NewCocominMedian & None & m5p & 94 & 217 & 0 \\
Superset & precise & None & None & lsr & 95 & 216 & 0 \\
Superset & precise & None & None & m5p & 95 & 216 & 0 \\
\hline
\end{tabular}
\end{center}
\end{scriptsize}
\caption{Top 10 methods for subset 17 using MRE evaluation criterion.}
\label{table:top10Subset17-MRE}
\end{table}
