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 $145, and the cost of misclassifying a actual Bad applicant as Good is $205. The model gives the scores shown in the table below. actualClass score profit cumulativeProfit 0.96 0.86 0.77 0.749 0.654 0.51 0.48 0.31 0.188 0.14 What is the cumulative profit in the 5th row