Mean Scores
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Mean Scores is Calculate the mean of each metric across all queries.
Mostly:rdf:type(2), computed from(1), calculation method(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
appliesToApplies to(1)
- Metric Aggregation
ex:metric-aggregation
computesComputes(1)
- Aggregate Evaluation
ex:aggregate-evaluation
describesDescribes(1)
- Mean Scores Explanation
ex:mean-scores-explanation
includesMetricsIncludes Metrics(1)
- Bm25 Evaluation Context
ex:bm25-evaluation-context
relatedToRelated to(1)
- Average Precision
ex:average-precision
Other facts (6)
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 |
|---|---|---|
| Rdf:type | Metric | [2] |
| Rdf:type | Aggregated Metric | [3] |
| Computed From | Per Query Metrics | [1] |
| Calculation Method | Calculate the mean of each metric across all queries | [2] |
| Aggregates | Average Precision | [2] |
| Description | Calculate the mean of each metric across all queries | [3] |
Timeline
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References (3)
ctx:claims/beam/dfbb9e1e-3e56-4d8e-b41d-1a690438b469ctx: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…
ctx:claims/beam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85- full textbeam-chunktext/plain1 KB
doc:beam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85Show excerpt
print(f"Mean Precision: {mean_precision}, Mean Recall: {mean_recall}, Mean F1 Score: {mean_f1}, Mean AP: {mean_ap}, Mean Precision@{k}: {mean_precision_at_k}, Mean Recall@{k}: {mean_recall_at_k}") ``` ### Explanation 1. **Precision@k and …
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