nerdexam
AmazonAmazon

AIF-C01 · Question #241

AIF-C01 Question #241: Real Exam Question with Answer & Explanation

The correct answer is A: Accuracy. Accuracy is defined as the number of correctly classified items (both true positives and true negatives) divided by the total number of items evaluated (the sum of true positives, true negatives, false positives, and false negatives), matching exactly the ratio described.

Submitted by paula_co· Mar 30, 2026Machine Learning Model Evaluation

Question

An AI practitioner is evaluating the performance of an Amazon SageMaker model. The AI practitioner must choose a performance metric. The metric must show the ratio of the number of correctly classified items to the total number of correctly and incorrectly classified items. Which metric meets these requirements?

Options

  • AAccuracy
  • BPrecision
  • CF1 score
  • DRecall

Explanation

Accuracy is defined as the number of correctly classified items (both true positives and true negatives) divided by the total number of items evaluated (the sum of true positives, true negatives, false positives, and false negatives), matching exactly the ratio described.

Topics

#SageMaker#ML model evaluation#Accuracy metric#Performance metrics

Community Discussion

No community discussion yet for this question.

Full AIF-C01 PracticeBrowse All AIF-C01 Questions