Which evaluation metric would be least affected by a large number of true negatives in a dataset?
- Accuracy
- Precision
- Recall
- Specificity
Specificity is the evaluation metric least affected by a large number of true negatives in a dataset. It focuses on correctly identifying true negatives and is particularly relevant in situations where false positives should be minimized.
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