Question 21
An email service develops a machine learning model to automatically identify phishing emails.
Any email predicted as phishing is immediately moved to the user's spam folder without notification. A legitimate email incorrectly marked as phishing could cause users to miss important messages, while an actual phishing email that is not detected can still be reported manually by the user.
The company wants to minimize the number of legitimate emails incorrectly classified as phishing.
Which evaluation metric should be given the highest priority while selecting the model?
Accuracy
Precision
Recall
F1-score