In the context of binary classification, which metric calculates the ratio of true positives to the sum of true positives and false negatives?
- Precision-Recall Curve
- F1 Score
- True Positive Rate (Sensitivity)
- Specificity
The True Positive Rate, also known as Sensitivity or Recall, calculates the ratio of true positives to the sum of true positives and false negatives. It measures the model's ability to correctly identify positive cases. It is an important metric in binary classification evaluation.
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