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| -rwxr-xr-x | report/paper.md | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/report/paper.md b/report/paper.md index 734b001..de34ab2 100755 --- a/report/paper.md +++ b/report/paper.md @@ -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} |