AWS Certified Machine Learning Specialty · Free Practice Question Easy
Question 8
A system designed to classify financial transactions into fraudulent and non-fraudulent transactions results in the confusion matrix below. What is the recall of this model?
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A
66.67%
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B
74%
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C
90%
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D
50%
Reveal correct answer
Correct answer: C
Explanation
Recall is defined as true positives / (true positives + false negatives). This works out to 90/(90+10) in this example, or 90%. 66.67% is the precision (true positives / (true postives + false positives.) Recall is an important metric in situations where classifications are highly imbalanced, and the positive case is rare. Accuracy tends to be misleading in these cases.
Discussion
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