aboutsummaryrefslogtreecommitdiff
path: root/report
diff options
context:
space:
mode:
authornunzip <np.scarh@gmail.com>2018-12-13 14:30:00 +0000
committernunzip <np.scarh@gmail.com>2018-12-13 14:30:00 +0000
commitc79764987c72be52546e743f60a2d37da3b57a92 (patch)
tree250a3663007bf05e9b0e548244a67691ab07de92 /report
parent34ef39354a48146fff99d9fcbb1882ae50f9a627 (diff)
downloadvz215_np1915-c79764987c72be52546e743f60a2d37da3b57a92.tar.gz
vz215_np1915-c79764987c72be52546e743f60a2d37da3b57a92.tar.bz2
vz215_np1915-c79764987c72be52546e743f60a2d37da3b57a92.zip
Accuracy values fix
Diffstat (limited to 'report')
-rwxr-xr-xreport/paper.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/report/paper.md b/report/paper.md
index a961be0..960fd21 100755
--- a/report/paper.md
+++ b/report/paper.md
@@ -50,7 +50,7 @@ be used as an alternative to euclidiean distance.
To evaluate improvements brought by alternative distance learning metrics a baseline
is established through nearest neighbour identification as previously described.
Identification accuracies at top1, top5 and top10 are respectively 47%, 67% and 75%
-(figure \ref{fig:baselineacc}). The mAP is 47%.
+(figure \ref{fig:baselineacc}). The mAP is 47.2%.
\begin{figure}
\begin{center}
@@ -211,7 +211,7 @@ It is also necessary to estimate how precise the ranklist generated is.
For this reason an additional method of evaluation is introduced: mAP. See reference @mAP.
It is possible to see in figure \ref{fig:ranklist2} how the ranklist generated for the same five queries of figure \ref{fig:eucrank}
-has improved for the fifth query. The mAP improves from 47% to 61.7%.
+has improved for the fifth query. The mAP improves from 47.2% to 61.7%.
\begin{figure}
\begin{center}