update README

README.md

@@ -38,7 +38,7 @@ To illustrate: Suppose a line in `solution.txt` is:
 ```
 If the corresponding line in `predict.txt` is also 1 0 0, then it's a correct prediction. Conversely, if the corresponding line in `predict.txt` is 0 1 0 or 1 0 1 (or any sequence other than 1 0 0), then it's an incorrect prediction.
 
-* Mean squared error(MSE): It quantifies the difference between the predicted values and the actual values. For each line, the squared difference between the numbers in `solution.txt` and `predict.txt` is computed and then averaged over all lines. The formula for MSE is:
+* **Mean squared error(MSE)**: It quantifies the difference between the predicted values and the actual values. For each line, the squared difference between the numbers in `solution.txt` and `predict.txt` is computed and then averaged over all lines. The formula for MSE is:
 $$ MSE = \frac{1}{N} \sum_{i=1}^{N} (predicted_i - actual_i)² $$
 
 Where $N$ is the total number of predictions.
@@ -46,7 +46,8 @@ Suppose, for a particular line:
 * `solution.txt` has: 1 0 0
 * `predict.txt` has: 1 1 0
 
-So, for this line, the squared error is $ (1 - 1)² + (1 - 0)² + (0 - 0)² = 1 $. Note that the MSE between two files would be the average of the squared errors for all lines.
+So, for this line, the squared error is $$ (1 - 1)² + (1 - 0)² + (0 - 0)² = 1 $$ 
+Note that the MSE between two files would be the average of the squared errors for all lines.
 
 ## Role-playing