Caesar AI Atlas

Precision-recall Curve

Also known as: Precision recall Curve

Caesar AI Atlas Definition

A precision-recall curve plots precision against recall at different classification thresholds. It helps evaluate classifier performance, especially where classes are imbalanced or positive examples are rare.

Other Definitions

Precision-recall Curve Source

A curve of precision versus recall at different classification thresholds.

Concept Comparisons

MetricsEvaluation

Receiver Operating Characteristic Curve (ROC) vs Precision-recall Curve

A side-by-side comparison of Receiver Operating Characteristic Curve and Precision-recall Curve. Understand how true-positive versus false-positive trade-offs differ from precision versus recall trade-offs.

Related Terms

ClassificationPerformanceClassifierArea Under The PR Curve (PR AUC)F~1~Area Under The PR Curve