What is precision-recall curve area (AUPRC) in imbalanced evaluation?

AUPRC measures performance across precision-recall tradeoffs, especially for imbalanced datasets.

Unlike ROC-AUC, AUPRC focuses on positive class performance, making it more informative when positives are rare. It integrates precision-recall curve over thresholds and is sensitive to class imbalance. It is widely used in fraud detection, medical diagnosis, and anomaly detection.