Question: False Positives and negatives You are building a machine learning model that identifies wheter or not a patient has cancer. In this case, a false

False Positives and negatives
You are building a machine learning model that identifies wheter or not a patient has cancer. In this case, a false negative(i.e, not identifying cancer when a patient has cancer) is much more costly that a false positive, which metric should be used when evaluating this model?
Pick one option
Precision
Recall
Accuracy
Mean Absolute Error

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