Naive Bayes description

mini_proj/report/waldo.tex

@@ -118,7 +118,17 @@
 
 		\paragraph{Naive Bayes Classifier}
 
-		\cite{naivebayes}
+		\cite{naivebayes} is a classification method according to Bayes' theorem,
+		shown in \Cref{eq:bayes}. Bayes' theorem allows us to calculate the
+		probability of an event taking into account prior knowledge of conditions of
+		the event in question. In classification this allows us to calculate the
+		probability that a new instance has a certain class based its features. We
+		then assign the class that has the highest probability.
+
+		\begin{equation}
+			\label{eq:bayes}
+			P(A\mid B)=\frac {P(B\mid A)\,P(A)}{P(B)}
+		\end{equation}
 
 		\paragraph{$k$-Nearest Neighbors}