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F-beta Score/Evidence
Method evidence record

F-beta Score

The F-beta score is a weighted harmonic mean of precision and recall that allows customizing the relative importance of recall versus precision through a parameter beta. It generalizes the F1-score, which is the special case where beta = 1.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

F-beta Score (Weighted Harmonic Mean)
Taxonomic method record · mcdm / model-evaluation
  • van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. · URL
  • Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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This view does not invent a claim assessment when the ledger has none.

Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketF1-Scoremachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMacro-averaged F1machine-suggested · Relational suggestion, not evidence.Taxonomic bucketPrecisionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRecall (Sensitivity)machine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted F1machine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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