Logistic regression is a statistical method that is used for predicting the probability of a binary response based on one or more predictor variables. It is used to measure the relationship between a dependent variable and one or more independent variables by fitting a logistic curve to observed data. The logistic regression model estimates the probability that an event will occur by fitting data to a logistic curve.
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