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What does a true negative mean?

Answer and explanation

Correct answer: Predicted negative, and the actual class was also negative

In binary classification, a true negative occurs when the model predicts the negative class and the actual label is also negative. It is a correct prediction and occupies one cell of the confusion matrix. Option A is therefore correct. A true positive is predicted positive and actually positive, a false positive predicts positive incorrectly, and a false negative predicts negative when the actual class is positive.

Related tags

True NegativeConfusion MatrixClassification MetricsModel EvaluationUnit 2: Data Science MethodologyUnit 2 Data Science MethodologyPart B: Subject Specific SkillsPart B Subject Specific Skills

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