diff options
| author | Vasil Zlatanov <v@skozl.com> | 2018-11-20 18:09:15 +0000 |
|---|---|---|
| committer | Vasil Zlatanov <v@skozl.com> | 2018-11-20 18:09:15 +0000 |
| commit | 9f22164c0dcab569b6f0bc03d13448d7d4da2039 (patch) | |
| tree | ac7360e21166006e7d9f9c2e06ae71356cad424e | |
| parent | c97e60b3422007554e108919f9dd19b002541442 (diff) | |
| download | vz215_np1915-9f22164c0dcab569b6f0bc03d13448d7d4da2039.tar.gz vz215_np1915-9f22164c0dcab569b6f0bc03d13448d7d4da2039.tar.bz2 vz215_np1915-9f22164c0dcab569b6f0bc03d13448d7d4da2039.zip | |
Remove caption which forces float
| -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} |