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Answer: True Negative
The scenario described is a **True Negative (TN)**. This occurs when the model accurately predicts that a person does not have the disease, and in reality, the person is indeed healthy. This is a correct prediction and is crucial in medical diagnostics to avoid unnecessary treatments.
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In the context of predicting whether an individual has a specific disease, which classification error type is illustrated by the following scenario? A person is actually free from the disease, and your model correctly identifies them as not having the disease.
A
False Negative
B
True Positive
C
False Positive
D
True Negative