From b235059fd844b59d4cd22104af12f42c2ac0deb2 Mon Sep 17 00:00:00 2001 From: Vasil Zlatanov 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(-) 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 -- cgit v1.2.3-54-g00ecf