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Exam AIP-210 Topic 6 Question 63 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 63
Topic #: 6
A classifier has been implemented to predict whether or not someone has a specific type of disease.
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

Suggested Answer: C Vote an answer

Explanation
Precision and recall are two measures that can evaluate the performance of a classifier, especially when the data is imbalanced. Precision is the ratio of true positives (correctly predicted positive cases) to all predicted positive cases. Recall is the ratio of true positives to all actual positive cases. Precision and recall can help assess how well the classifier can identify the positive cases (the disease) and avoid false negatives (missed diagnosis) or false positives (unnecessary treatment).

by Tammy at Oct 16, 2024, 06:28 AM

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