Binary logistic regression is a statistical method used to model the relationship between a dependent binary variable and one or more independent variables. This technique estimates the probability that a given input point belongs to a certain category, typically coded as 0 or 1. It's particularly useful for predicting outcomes where there are only two possible results, such as success/failure or yes/no decisions.
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