For two classes C1 and C2, given a vector X= (x1, …, xn) of class labels computed at the prediction stage of the classification algorithm and a vector Y= (y1, …, yn) of expected class labels, the problem is to evaluate the classifier by computing the confusion matrix and connected quality metrics: precision, recall, and so on.

QualityMetricsId for binary classification is confusionMatrix.

For description of the default quality metrics for binary classification, refer to Details.

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