MCDMClassification Metric

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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Sources

  1. 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
  2. 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. DOI: 10.9735/2229-3981

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Referenced by

ScholarGateMatthews Correlation Coefficient (Matthews Correlation Coefficient (MCC)). Retrieved 2026-06-04 from https://scholargate.app/en/model-evaluation/matthews-correlation-coefficient