sklearn metrics section
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sklearn metrics section has 6 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
Mostly:contains(2), precedes(1), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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isDefinedInIs Defined in(2)
- Average Precision Score
ex:average_precision_score - Visualize Correlation
ex:visualize_correlation
followsFollows(1)
- Retry Section
ex:retry-section
hasPartHas Part(1)
- Source Document
ex:source-document
isSeparateFromIs Separate From(1)
- Retry Section
ex:retry-section
Other facts (5)
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 |
|---|---|---|
| Contains | Average Precision Score | [1] |
| Contains | Visualize Correlation | [1] |
| Precedes | Retry Section | [1] |
| Rdf:type | Document Section | [1] |
| Is Part of | Source Document | [1] |
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References (1)
ctx:claims/beam/c283ddcf-9f8d-4ec7-9d61-d2da29ccf741- full textbeam-chunktext/plain1 KB
doc:beam/c283ddcf-9f8d-4ec7-9d61-d2da29ccf741Show excerpt
- The `average_precision_score` function from `sklearn.metrics` calculates MAP. Note that the `k` parameter is used to specify the top k items to consider. - The `visualize_correlation` function plots the correlation between NDCG@5 and MAP@…
See also
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