Binary logistic regression is a statistical method used to model the relationship between a binary dependent variable and one or more independent variables. It predicts the probability that a given input point falls into one of two categories by estimating the odds of an event occurring, making it particularly useful in fields like medicine, marketing, and social sciences.
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