📕 subnode [[@KGBicheno/recall]]
in 📚 node [[recall]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Recall.md by @KGBicheno
recall
Go back to the [[AI Glossary]]
A metric for classification models that answers the following question: Out of all the possible positive labels, how many did the model correctly identify? That is:
$$ \text Recall = \frac{True Positives}{True Positives + False Negatives} $$
📖 stoas
- public document at doc.anagora.org/recall
- video call at meet.jit.si/recall