Exam AWS Certified Machine Learning - Specialty topic 1 question 302 discussion

It is B

To maximize the probability of detecting an abnormality, the focus should be on high recall (the ability of the model to find all actual positives), especially in scenarios where missing an abnormality could have significant negative effects. Between the given options: B. Precision = 0.61 - Recall = 0.98 This option has the highest recall, meaning it is best at identifying actual abnormalities (label 1), which is crucial for minimizing the risk of undetected process abnormalities. Although precision is lower (indicating more false positives), in this context, ensuring abnormalities are detected (even at the cost of investigating more false alarms) is more critical.

if abnormality is not detected then higher cost. Therefore FN (false negatives) should be minimized. Which means recall should have the highest value