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What does a true positive represent in a confusion matrix?

Answer and explanation

Correct answer: The model's positive prediction was correct

In a confusion matrix, a true positive occurs when the actual condition is positive and the model also predicts positive. Thus the prediction is both positive and correct, making option A the answer. Option B is a false positive because a negative case was labelled positive; option C is a false negative, and option D describes a true negative.

Related tags

True PositiveConfusion MatrixClassificationModel EvaluationData ScienceUnit 2: Data Science MethodologyUnit 2 Data Science MethodologyPart B: Subject Specific Skills

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