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Matthews Correlation Coefficient/Evidence
Method evidence record

Matthews Correlation Coefficient

The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets.

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Source record

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

Matthews Correlation Coefficient (MCC)
Taxonomic method record · mcdm / model-evaluation
  • Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. · DOI 10.1016/0005-2795(75)90109-9
  • 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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Related methods

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

Taxonomic bucketBalanced Accuracymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketF1-Scoremachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPrecisionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRecall (Sensitivity)machine-suggested · Relational suggestion, not evidence.Taxonomic bucketYoudens J Statisticmachine-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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