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.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *