Make the mathematics a bit more readable

mini_proj/report/waldo.tex

@@ -260,7 +260,7 @@
 		To evaluate the performance of the models, we record the time taken by
 		each model to train, based on the training data and the accuracy with which
     the model makes predictions. We calculate accuracy as
-		\(a = \frac{|correct\ predictions|}{|predictions|} = \frac{tp + tn}{tp + tn + fp + fn}\)
+		\[a = \frac{|correct\ predictions|}{|predictions|} = \frac{tp + tn}{tp + tn + fp + fn}\]
 		where \(tp\) is the number of true positives, \(tn\) is the number of true
     negatives, \(fp\) is the number of false positives, and \(tp\) is the number
     of false negatives.