Refer to the exhibit.

You have scored your Naive bayesian classifier model on a hold out test data for cross validation and
determined the way the samples scored and tabulatedthem as shown in the exhibit. What are the the False
Positive Rate (FPR) and the False Negative Rate (FNR) of the model?

A.
FPR = 15/262 FNR = 26/288

B.
FPR = 26/288 FNR = 15/262

C.
FPR = 262/15 FNR = 288/26

D.
FPR = 288/26 FNR = 262/15