diff --git a/tex/meta.tex b/tex/meta.tex
index 8296540..b5d0aa0 100644
--- a/tex/meta.tex
+++ b/tex/meta.tex
@@ -33,8 +33,9 @@ An empirical study shows that
     an exponential smoothing based method trained on past demand data alone
         achieves optimal accuracy,
     if at least two months are on record.
-With only a shorter demand history,
-    machine learning methods and real-time data may improve prediction.
+With a more limited demand history,
+    machine learning is shown
+    to yield more accurate prediction results than classical methods.
 \end{abstract}
 
 \begin{keyword}