logistic regression models
Logistic regression models are statistical techniques used to predict the probability of an event occurring based on the relationship between a set of independent variables and a binary dependent variable. They are commonly used in situations where the outcome is a categorical variable with two possible outcomes, and aim to estimate the probability of each outcome occurring.
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