\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}