aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorVasil Zlatanov <v@skozl.com>2018-11-20 15:01:03 +0000
committerVasil Zlatanov <v@skozl.com>2018-11-20 15:01:03 +0000
commit042f56da4b930f8ed15e763011b7b19cb3fd517f (patch)
tree44c6fc40f0c08fdfd7590e8ca789794d2fda2cba
parent68bbd7cc485653f947d24bca63fb41cf0b720d4b (diff)
downloadvz215_np1915-042f56da4b930f8ed15e763011b7b19cb3fd517f.tar.gz
vz215_np1915-042f56da4b930f8ed15e763011b7b19cb3fd517f.tar.bz2
vz215_np1915-042f56da4b930f8ed15e763011b7b19cb3fd517f.zip
Force table position
-rwxr-xr-xreport/paper.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/report/paper.md b/report/paper.md
index b2c4243..f5b1934 100755
--- a/report/paper.md
+++ b/report/paper.md
@@ -459,7 +459,7 @@ We can compute an ensemble confusion matrix before the committee machines as sho
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.
-\begin{table}[]
+\begin{table}[ht]
\begin{tabular}{lrr} \hline
Seed & Individual$(M=120)$ & Bag + Feature Ens.$(M=60+95)$\\ \hline
0 & 0.916 & 0.923 \\