October 2017
Beginner to intermediate
572 pages
26h 1m
English
Logistic regression is a form of probabilistic statistical classification model, which can be used to predict class labels based on one or more features. The classification is done by using the logit function to estimate the outcome probability. One can use logistic regression by specifying the family as a binomial while using the glm function. In this recipe, we will introduce how to classify data using logistic regression.
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