\begin{tabular}{lll}
\hline
 Dataset                   & eIFor                         & IFor                          \\
\hline
 $Delft\_pump\_5x3\_noisy$ & $\textbf{0.3893}  \pm 0.0345$ & $\textbf{0.4272}  \pm 0.0680$ \\
 $vertebral$               & $\textbf{0.4260}  \pm 0.0111$ & $\textbf{0.4554}  \pm 0.0416$ \\
 $Liver\_1$                & $0.5367 \pm 0.0508$           & $\textbf{0.5474}  \pm 0.0541$ \\
 $Sonar\_mines$            & $\textbf{0.6882}  \pm 0.1264$ & $0.6189 \pm 0.1301$           \\
 $letter$                  & $\textbf{0.6756}  \pm 0.0119$ & $0.6471 \pm 0.0111$           \\
 $Glass\_building\_float$  & $\textbf{0.6480}  \pm 0.1012$ & $\textbf{0.6755}  \pm 0.1117$ \\
 $pc3$                     & $\textbf{0.7231}  \pm 0.0153$ & $\textbf{0.7223}  \pm 0.0178$ \\
 $pima$                    & $\textbf{0.7405}  \pm 0.0110$ & $\textbf{0.7347}  \pm 0.0126$ \\
 $Diabetes\_present$       & $\textbf{0.7414}  \pm 0.0195$ & $\textbf{0.7344}  \pm 0.0242$ \\
 $waveform-5000$           & $\textbf{0.7687}  \pm 0.0123$ & $\textbf{0.7592}  \pm 0.0206$ \\
 $steel-plates-fault$      & $\textbf{0.7735}  \pm 0.0351$ & $\textbf{0.7682}  \pm 0.0402$ \\
 $vowels$                  & $\textbf{0.7843}  \pm 0.0298$ & $\textbf{0.7753}  \pm 0.0334$ \\
\hline
\end{tabular}