Precision-Recall Curve: Revision history

10 June 2025

• curprev 06:2406:24, 10 June 2025 Thakshashila talk contribs 3,086 bytes +37 →SEO Keywords
• curprev 05:3205:32, 10 June 2025 Thakshashila talk contribs 3,049 bytes +3,049 Created page with "= Precision-Recall Curve = The '''Precision-Recall Curve''' (PR Curve) is a graphical representation used to evaluate the performance of binary classification models, especially on '''imbalanced datasets''' where the positive class is rare. It plots '''Precision''' (y-axis) against '''Recall''' (x-axis) for different classification thresholds. == Why Use Precision-Recall Curve? == In many real-world problems like fraud detection, disease diagnosis, or spam filtering,..."