Update README.md

README.md

@@ -23,11 +23,12 @@ To interact with this model:
    #City_codes range from 0-4, Income and CreditScore fields are also required. 
    user_input = pd.DataFrame({'City_Code': 0, 'Income': 20000, 'CreditScore': 100}, index=[0])
 
-   # predict the probability of a loan \[\[rejection, approval\]\] based on inputs 
+   # predict the probability of a loan [[rejection, approval]] based on inputs 
    probas = model.predict_proba(user_input)
 
-   # print the output. Will be in the form \[\[\rejection chance, approval chance]\]
+   # print the output. Will be in the form [[rejection chance, approval chance]]
    print(probas)
    ```
+   4. Run the script to view the output. Will be in the form \[\[rejection chance, approval chance\]\]
 
    Leave questions in the community section.