Update README.md

README.md

@@ -68,9 +68,10 @@ The primary evaluation metric used is Accuracy. A confusion matrix was also gene
 
 * **Accuracy:** The proportion of correctly classified images out of the total number of images evaluated.
 
-    $$
-    ACCURACY = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
-    $$
+$$
+\text{Accuracy} = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
+$$
+
 
 * **Confusion Matrix:** A table that visualizes the performance of a classification model. Each row represents the instances in an actual class, while each column represents the instances in a predicted class.