Recall
Of all the real 'yes' cases out there, the share the model actually caught. High recall means few misses.
Think of It Like This
A net with high recall catches almost every fish — even if it scoops up some seaweed too.
Recall is true positives divided by all actual positives, so it punishes false negatives — the cases you missed entirely. It's the metric you optimize when a miss is dangerous, like screening for a disease where a wrong "all clear" is the worst outcome. Push recall up and precision usually drops, which is exactly the tension the F1 score tries to balance.