Dontopedia

Precision Formula

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Precision Formula has 8 facts recorded in Dontopedia across 3 references, with 3 live disagreements.

8 facts·5 predicates·3 sources·3 in dispute

Mostly:numerator(2), denominator(2), rdf:type(2)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (8)

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.

8 facts
PredicateValueRef
Numeratorcorrect_count[1]
NumeratorCorrect Count[2]
Denominatorlen(test_queries)[1]
DenominatorTest Queries Length[2]
Rdf:typeRatio Metric[2]
Rdf:typeMathematical Formula[3]
Describesprecision calculation[1]
Uses RelationCorrect Count Divide Len Test Queries[2]

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.

describesbeam/95bd223a-6b4a-4d24-89f7-34f99e20bf0f
precision calculation
numeratorbeam/95bd223a-6b4a-4d24-89f7-34f99e20bf0f
correct_count
denominatorbeam/95bd223a-6b4a-4d24-89f7-34f99e20bf0f
len(test_queries)
usesRelationbeam/649d08ba-9df6-4273-9777-b1a263bb39c4
ex:correct-count-divide-len-test-queries
typebeam/649d08ba-9df6-4273-9777-b1a263bb39c4
ex:RatioMetric
numeratorbeam/649d08ba-9df6-4273-9777-b1a263bb39c4
ex:correct-count
denominatorbeam/649d08ba-9df6-4273-9777-b1a263bb39c4
ex:test-queries-length
typebeam/3601cc0c-ad83-4613-a31f-ab029beb68b6
ex:MathematicalFormula

References (3)

3 references
  1. ctx:claims/beam/95bd223a-6b4a-4d24-89f7-34f99e20bf0f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/95bd223a-6b4a-4d24-89f7-34f99e20bf0f
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      "Can you provide a detailed explanation of quantum mechan", "Who is the current president of the United States?", "What are the main components of a computer system?", "How does photosynthesis work in plants?", "What are
  2. ctx:claims/beam/649d08ba-9df6-4273-9777-b1a263bb39c4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/649d08ba-9df6-4273-9777-b1a263bb39c4
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      correct_count = 0 for query, expected in zip(test_queries, expected_outcomes): # Calculate complexity complexity = calculate_complexity(query) # Apply threshold and resize window resized_quer
  3. ctx:claims/beam/3601cc0c-ad83-4613-a31f-ab029beb68b6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3601cc0c-ad83-4613-a31f-ab029beb68b6
      Show excerpt
      Cosine similarity can be used to measure the semantic similarity between the expanded terms and the expected terms, especially if you are using embeddings. ### 4. Intersection Over Union (IoU) IoU is another metric that can be useful, esp

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