You have developed a random forest model to predict Good (1) vs. Bad (0) credit applicants. The benefit from accurately identifying a Good credit applicant is $143, and the cost of misclassifying a actual Bad applicant as Good is $231. The model gives the scores shown in the table below. actualClass score profit cumulativeProfit 0.96 0.87 O 0.80 0.715 o - O 0.614 0.55 O 0.44 0.34 0.197 0.12 What is the cumulative profit in the 5th row