Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 3

Quality Metrics for Binary Classification Algorithms

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.