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What does precision focus on?

Answer and explanation

Correct answer: The proportion of predicted positive results that are actually positive

Precision measures the reliability of positive predictions: precision = TP ÷ (TP + FP). It asks, “Of all cases predicted positive, how many were truly positive?” Therefore, option A is correct. Recall uses TP ÷ (TP + FN) and focuses on finding actual positives; accuracy considers all correct predictions; specificity measures correctly identified negatives. These metrics answer different evaluation questions.

Related tags

PrecisionClassificationModel EvaluationConfusion MatrixUnit 2: Data Science MethodologyUnit 2 Data Science MethodologyPart B: Subject Specific SkillsPart B Subject Specific Skills

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