From b235059fd844b59d4cd22104af12f42c2ac0deb2 Mon Sep 17 00:00:00 2001
From: Vasil Zlatanov <v@skozl.com>
Date: Tue, 12 Feb 2019 18:08:29 +0000
Subject: Add comment about randomness exection time

---
 report/paper.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

(limited to 'report/paper.md')

diff --git a/report/paper.md b/report/paper.md
index d74ea0d..25531e2 100644
--- a/report/paper.md
+++ b/report/paper.md
@@ -60,7 +60,9 @@ Random forests will select a random number of features on which to apply a weak
 \end{center}
 \end{figure}
 
-## Weak Learners comparison
+Changing the randomness parameter had no significant effect on execution time. This can partly be explained by the increased required tree depth to purify the training set.
+
+## Weak Learner comparison
 
 In figure \ref{fig:2pt} it is possible to notice an improvement in recognition accuracy by 1%,
 with the two pixels test, achieving better results than the axis-aligned counterpart. The two-pixels
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