Precision-Recall Curve (Pr)
A Precision-Recall (PR) curve is a visual metric used to determine the performance of a classification model. The curve is plotted with Precision (the ratio of true positives to the sum of true positives and false positives) on the y-axis and Recall (the ratio of true positives to the sum of true positives and false negatives) on the x-axis.
Areas of application
- Machine Learning
- Data Science
- Predictive Analytics
- Spam Detection
- Information Retrieval
Example
For instance, in a spam detection system, the PR curve can help visualize the trade-off between how many spam emails are correctly classified (Precision) and the system’s ability to detect all spam emails (Recall).