Match each SageMaker built-in metric to its meaning.
Drag a concept onto its matching description — or click a concept then click the description.
Fraction of correct predictions on validation set
Root mean square error on validation set
Area under ROC curve on validation set
Logistic loss on validation set
Harmonic mean of precision and recall on validation set
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
accuracy: The ratio of correctly predicted observations to total observations
Accuracy measures overall correctness, precision measures positive predictive value, and recall measures sensitivity. Common confusions occur when precision and recall definitions are swapped.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
accuracy: The ratio of correctly predicted observations to total observations
Why this is correct
Accuracy is correctly defined as the overall correctness of predictions.
precision: The ratio of true positives to the sum of true positives and false positives
Why this is correct
Precision correctly measures the accuracy of positive predictions.
recall: The ratio of true positives to the sum of true positives and false negatives
Why this is correct
Recall correctly captures the ability to find all positive instances.
accuracy: The ratio of true positives to the sum of true positives and false positives
Why it's wrong here
Incorrect — this definition describes precision, not accuracy.
precision: The ratio of true positives to the sum of true positives and false negatives
Why it's wrong here
Incorrect — this definition describes recall, not precision.
recall: The ratio of correctly predicted observations to total observations
Why it's wrong here
Incorrect — this definition describes accuracy, not recall.
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About these practice questions
This MLS-C01 question is part of Courseiva's 1,672-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.