What is the difference between precision and recall?

Precision measures correctness of positive predictions, while recall measures coverage of actual positives.

Precision = TP / (TP + FP), recall = TP / (TP + FN). Precision focuses on false positives, while recall focuses on false negatives. Trade-off depends on application context like fraud detection or medical diagnosis.