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Binary Classification in Machine Learning is a supervised learning technique used to classify data into two distinct classes. This guide provides an overview of the concepts and techniques used in binary classification, as well as practical examples of how to apply them. It also discusses the various evaluation metrics used to measure the performance of a binary classifier and provides tips and tricks for improving the accuracy of a binary classifier.
