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Exam AIP-210 Topic 2 Question 59 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 59
Topic #: 2
The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier?

Suggested Answer: B Vote an answer

Explanation
Precision is a measure of how well a classifier can avoid false positives (incorrectly predicted positive cases).
Precision is calculated by dividing the number of true positives (correctly predicted positive cases) by the number of predicted positive cases (true positives and false positives). In this confusion matrix, the true positives are 37 and the false positives are 8, so the precision is 37/(37+8) = 0.822.

by Murray at Sep 03, 2025, 09:43 AM

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Here are all the actual test exam dumps for IT exams. Most people prepare for the actual exams with our test dumps to pass their exams. So it's critical to choose and actual test pdf to succeed.

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