In a classification model predicting whether an email is 'Spam' or 'Not Spam', the model correctly identifies 90 out of 100 total emails. This 90% metric is known as what?

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Correct Answer: Accuracy

Accuracy measures the ratio of total correct predictions (both True Positives and True Negatives) out of all predictions made. If it got 90 right out of 100 total, the accuracy is ...

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Real Exam ScenarioMachine Learning Principles

In a classification model predicting whether an email is 'Spam' or 'Not Spam', the model correctly identifies 90 out of 100 total emails. This 90% metric is known as what?

โœ“ Correct Answer & ExplanationMachine Learning Principles

Correct Answer

Accuracy

Why This Answer Is Correct

Accuracy measures the ratio of total correct predictions (both True Positives and True Negatives) out of all predictions made. If it got 90 right out of 100 total, the accuracy is 90%. (Precision and Recall look specifically at the ratios of false positives and false negatives).

๐Ÿ“š What This Question Tests

This question evaluates your knowledge of Machine Learning Principles โ€” a core concept tested in Microsoft Certified: Azure AI Fundamentals (AI-900). Understanding Machine Learning Principles is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.