diff --git a/src/machine-learning-and-data-mining/sections/_classification.tex b/src/machine-learning-and-data-mining/sections/_classification.tex
index 605fa77..744582d 100644
--- a/src/machine-learning-and-data-mining/sections/_classification.tex
+++ b/src/machine-learning-and-data-mining/sections/_classification.tex
@@ -108,7 +108,7 @@ we want that:
 In other words, we want the middle term to have a high probability to 
 be between the $\frac{\alpha}{2}$ and $(1-\frac{\alpha}{2})$ quantiles of the gaussian.
 \begin{center}
-    \includegraphics[width=0.35\textwidth]{img/normal_quantile_test_error.png}
+    \includegraphics[width=0.4\textwidth]{img/normal_quantile_test_error.png}
 \end{center}
 
 We can estimate $p$ using the Wilson score interval\footnote{\url{https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval}}: