Binary classification sorts data into one of two distinct groups, like spam or not spam. It powers decision-making in fraud detection, medical diagnosis, and customer churn prediction. Data scientists, machine learning engineers, and businesses leverage it to automate choices, reduce errors, and improve outcomes when clear yes-or-no answers are needed.
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