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MCC#

Matthews Correlation Coefficient (MCC) measures the quality of a classification by taking into account true and false positives and negatives. It is generally regarded as a balanced measure which can be used even if the classes are of very different sizes. The MCC is a correlation coefficient between the observed and predicted binary classifications. A coefficient of 1 represents a perfect prediction, 0 no better than random prediction, and −1 indicates total disagreement between prediction and observation.

Estimator Compatibility: Classifier, Anomaly Detector

Output Range: -1 to 1

Example#

use Rubix\ML\CrossValidation\Metrics\MCC;

$metric = new MCC();

References#

  • B. W. Matthews. (1975). Decision of the Predicted and Observed Secondary Structure of T4 Phage Lysozyme.