Recall Scores
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Recall Scores has 12 facts recorded in Dontopedia across 4 references, with 1 live disagreement.
Mostly:rdf:type(4), rdfs:label(2), variable name(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
Rdfs:labelrdfs:label
Variable NamevariableName
- recall_scores[4]sourceall time · 23c0eddb 0929 4239 8d55 13531af3e8f5
Storesstores
- Recall Values[2]all time · Dfbb9e1e 3e56 4d8e B41d 1a690438b469
Is InitializedisInitialized
- empty[2]all time · Dfbb9e1e 3e56 4d8e B41d 1a690438b469
Is ArrayisArray
- true[2]all time · Dfbb9e1e 3e56 4d8e B41d 1a690438b469
Stores ElementstoresElement
- Recall Value[3]sourceall time · 059dfa3d 8d94 4bfc Bbe2 1c2228c8c6fe
Initializationinitialization
- Empty Array[1]sourceall time · Eb7f55ff 6715 4dd8 81f8 023b5f9693f2
Inbound mentions (4)
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.
based-onBased on(1)
- Comparison
ex:comparison
computedFromComputed From(1)
- Mean Recall
ex:mean-recall
targetListTarget List(1)
- Score Append
ex:score-append
zipsZips(1)
- Zip Usage
ex:zip-usage
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 (4)
- custom
ctx:claims/beam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2- full textbeam-chunktext/plain1 KB
doc:beam/eb7f55ff-6715-4dd8-81f8-023b5f9693f2Show excerpt
retrieved_labels = relevant_labels[retrieved_indices] true_positives = np.sum(retrieved_labels) recall = true_positives / num_relevant return recall # Initialize the recall scores recall_scores = [] for tool in tools: …
- custom
ctx:claims/beam/dfbb9e1e-3e56-4d8e-b41d-1a690438b469 - custom
ctx:claims/beam/059dfa3d-8d94-4bfc-bbe2-1c2228c8c6fe- full textbeam-chunktext/plain1 KB
doc:beam/059dfa3d-8d94-4bfc-bbe2-1c2228c8c6feShow excerpt
total_duration += timer.duration total_throughput += num_queries / timer.duration latencies.append(timer.duration) # Assuming results is a binary array indicating relevance precision = precision_scor…
- custom
ctx:claims/beam/23c0eddb-0929-4239-8d55-13531af3e8f5- full textbeam-chunktext/plain1 KB
doc:beam/23c0eddb-0929-4239-8d55-13531af3e8f5Show excerpt
- **Average Precision (AP)**: Measure of precision at each relevant document. 4. **Mean Scores**: Calculate the mean of each metric across all queries. ### Additional Metrics 1. **Precision@k**: Precision of the top-k retrieved documen…
See also
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