Which term denotes a correctly identified negative instance?

Which term denotes a correctly identified negative instance?

• A. True Negative (TN)
• B. True Positive (TP)
• C. False Negative (FN)
• D. False Positive (FP)

Answer: (A)

Identifying a correctly identified negative instance means the model predicted negative and the actual outcome is negative. This precise pairing is called a True Negative. In a confusion matrix, True Negatives occur when the system correctly flags non-events or benign cases as negative. By contrast, True Positive would be a correct positive prediction (positive prediction and positive actual). False Negative happens when a positive case is missed (predicted negative though the actual is positive), and False Positive occurs when a negative case is incorrectly labeled positive. The description clearly points to the True Negative.

Identifying a correctly identified negative instance means the model predicted negative and the actual outcome is negative. This precise pairing is called a True Negative. In a confusion matrix, True Negatives occur when the system correctly flags non-events or benign cases as negative. By contrast, True Positive would be a correct positive prediction (positive prediction and positive actual). False Negative happens when a positive case is missed (predicted negative though the actual is positive), and False Positive occurs when a negative case is incorrectly labeled positive. The description clearly points to the True Negative.