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In scenarios where it's more acceptable to have false negatives than false positives, such as incorrectly predicting a Non-Tumor as a Tumor, which classification metric should you prioritize?
A
AUC
B
Recall
C
Specificity
D
F1 Score
E
Root Mean Square Error
F
Not Applicable