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@@ -449,7 +449,7 @@ We can compute an ensemble confusion matrix before the committee machines as sho
## Comparison
-Combining bagging and feature space randomization we are able to consistently achieve higher test accuracy than the individual models. In table \ref{tab:compare} $70/30$ splits.
+Combining bagging and feature space randomization we are able to consistently achieve higher test accuracy than the individual models.
\begin{table}[ht]
\begin{tabular}{lrr} \hline
@@ -458,7 +458,6 @@ Seed & Individual$(M=120)$ & Bag + Feature Ens.$(M=60+95)$\\ \hline
1 & 0.929 & 0.942 \\
5 & 0.897 & 0.910 \\ \hline
\end{tabular}
-\caption{Comparison of individual and ensemble}
\label{tab:compare}
\end{table}