Which curve plots the true positive rate against the false positive rate for different threshold values of a classification problem?
- ROC Curve
- Precision-Recall Curve
- Learning Curve
- Sensitivity-Specificity Curve
The ROC (Receiver Operating Characteristic) Curve plots the True Positive Rate (Sensitivity) against the False Positive Rate for different threshold values of a classification model. It is used to evaluate the model's performance in distinguishing between classes at various thresholds.
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