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 tabulated them 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
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