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Precision/Evidence
Method evidence record

Precision

Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.

Sources recorded, not reviewed

Source record

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

Precision (Positive Predictive Value)
Taxonomic method record · mcdm / model-evaluation
  • Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. · DOI 10.1016/j.patrec.2005.10.010
  • 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.

No curated claims yet

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 bucketAccuracymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketF1-Scoremachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMatthews Correlation Coefficientmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRecall (Sensitivity)machine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpecificitymachine-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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