Explain how logistic regression works for binary classification. Why is it called "regression" when it is used for classification, and how do you interpret the coefficients?

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Logistic regression is a fundamental classification algorithm that predicts the probability of an instance belonging to a particular class. Despite its name, it is used for classification rather than regression tasks.