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 tabluated them as shown in the exhibit.
What are the Precision and Recall rate of the model?

A.
Precision = 262/277
Recall = 262/288
B.
Precision =262/288
Recall = 262/277
C.
Precision = 277/262
Recall = 288/262
D.
Precision = 288/262
Recall = 277/262
Precision = TP/Predict YES = 262/277
Recall = TP/Actual YES = 262/288
Answer is A
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