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What is Binary Classification?
Binary classification is a supervised learning task that assigns each example to one of two classes—spam vs not spam, disease vs healthy—using algorithms such as logistic regression or support vector machines.
Related Giskard articles
Test binary classifiers with Giskard — track threshold, fairness, and drift so production decisions stay calibrated. See Giskard OSS.
Authority: scikit-learn classification.
