Add paragraph on random forest

mini_proj/report/waldo.tex

@@ -154,7 +154,14 @@
 
 		\paragraph{Random Forest}
 
-		\cite{randomforest}
+		\cite{randomforest} is a method that is based on classifications decision
+		trees. In a decision tree a new instances is classified by going down a
+		(binary) tree. Each non-leaf node contain a selection criteria to its
+		branches. Every leaf node contains the class that will be assigned to the
+		instance if the node is reached. In other training methods, decision trees
+		have the tendency to overfit, but in random forest a multitude of decision
+		tree is trained with a certain degree of randomness and the mean of these
+		trees is used which avoids this problem.
 
 		\subsection{Neural Network Architectures}
 		\todo{Did we only do the three in the end? (Alexnet?)}