Recall
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
The proportion of all relevant items that are actually retrieved.
SCAFFOLDING EFFECT
Reduce cognitive load
A metric for retrieval completeness. Complementary to precision, measuring whether something that should have been found was missed.
Anchor fast decisions
Recall = relevant items retrieved/identified ÷ all relevant items. It measures the ability to not miss, and forms a trade-off with precision (not being wrong): relaxing criteria increases recall but decreases precision. Together they characterize system performance.
MINIMUM ACTION
In progress 0/5Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Recallverified
PRIVATE NOTES · Only visible to you
SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
RELATED MODELS