some results

mini_proj/report/waldo.tex

@@ -297,6 +297,14 @@
     We can see by the results that Deep Neural Networks outperform our benchmark
     classification models, although the time required to train these networks is
     significantly greater.
+
+    % models that learn relationships between pixels outperform those that don't
+
+    Of the benchmark classifiers we see the best performance with Random
+    Forests and the worst performance with K Nearest Neighbours. As supported
+    by the rest of the results, this comes down to a models ability to learn
+    the hidden relationships between the pixels. This is made more apparent by
+    performance of the Neural Networks.
     
 		\section{Conclusion} \label{sec:conclusion}