diff --git a/mini_proj/report/waldo.tex b/mini_proj/report/waldo.tex
index 25703ef..27416de 100644
--- a/mini_proj/report/waldo.tex
+++ b/mini_proj/report/waldo.tex
@@ -72,7 +72,7 @@
 		various different classification methods from more classical machine
 		learning, like naive Bayes classifiers, to the currently state of the art,
 		Neural Networks. In \Cref{sec:background} we will introduce the different
-		classification methods, \Cref{sec:methods} will explain the way in which
+		classification methods, \Cref{sec:method} will explain the way in which
 		these methods are trained and how they will be evaluated, in
 		\Cref{sec:results} will discuss the results, and \Cref{sec:conclusion} will
 		offer our final conclusions.
@@ -117,7 +117,7 @@
 
     \todo{This paper is mad \cite{Kotsiantis2007}.}
 
-		\section{Methods}
+		\section{Method} \label{sec:method}
 
     % Kelvin Start
     \subsection{Benchmarking}\label{benchmarking}
@@ -135,7 +135,6 @@
     statistics include:
 
     \begin{itemize}
-    \tightlist
     \item
       \textbf{Accuracy:}
       \[a = \dfrac{|correct\ predictions|}{|predictions|} = \dfrac{tp + tn}{tp + tn + fp + fn}\]