Mean Average Precision Metric
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Mean Average Precision Metric has 3 facts recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasMemberHas Member(1)
- Metric List
ex:metric-list
providesDefinitionForProvides Definition for(1)
- Assistant Response 6081
ex:assistant-response-6081
providesImplementationForProvides Implementation for(1)
- Sklearn Metrics
ex:sklearn-metrics
Other facts (3)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Defined As | Average of Average Precision Scores Across All Queries | [1] |
| Rdf:type | Aggregate Metric | [1] |
| Abbreviated As | Map | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/166e449f-f01f-4d52-b7b4-50e375d9caff- full textbeam-chunktext/plain1 KB
doc:beam/166e449f-f01f-4d52-b7b4-50e375d9caffShow excerpt
print(f"Precision: {precision}, Recall: {recall}, F1 Score: {f1_score}") ``` Can you help me fill in the evaluation logic and suggest some additional metrics I can use? ->-> 1,1 [Turn 6081] Assistant: Certainly! Evaluating the performance …
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.