Merge pull request #71 from UBC-MDS/feedback_grace

fix: Feedback addressed by Zhiwei Zhang, addressing TinLattNandar review

README.md

@@ -10,7 +10,7 @@ matrics_calculator provides a lightweight and easy-to-use alternative for calcul
 ## Features
 
 This package consists of four functions:
-- `r_squared`:
+- `r2`:
     - This function calculates the R-squared of the model, which measures how well the model explains the variation in the data. 
 - `mean_absolute_error`: 
     - This function finds the average difference between predicted and actual values.
@@ -55,9 +55,9 @@ from matrics_calculator.MAPE import mean_absolute_percentage_error
 
 2. Prepare Your Data Ensure you have two arrays:
 
-    `y_true`: The actual target values
+    `y_true`: The actual target values.
 
-    `y_pred`: The predicted values from your regression model
+    `y_pred`: The predicted values from your regression model.
 
     Example:
 ```bash