Update README.md

README.md

@@ -69,7 +69,7 @@ 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.
 
     $$
-    \text{Accuracy} = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
+    ACCURACY = \frac{\text{Number of correct predictions}}{\text{Total number of predictions}}
     $$
 
 * **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.