Correlation coefficient between observed and predicted binary classifications
Expansion
Matthews Correlation Coefficient
Purpose
Single score summarising sensitivity, specificity, positive predictive value, negative predictive value
Clinical Context
Matthews correlation coefficient: single metric incorporating true positives, true negatives, false positives, false negatives. Particularly useful for imbalanced datasets.
Related Terms
- Area under curve
- F1 score
Key Points
- Matthews correlation coefficient ranges minus 1 to plus 1; plus 1 equals perfect classification, 0 equals random, minus 1 equals worst