The logistic regression
Despite its name, the logistic regression is a classifier. As a matter of fact, the logistic regression is one of the most used discriminative learning techniques because of its simplicity and its ability to leverage a large variety of optimization algorithms. The technique is used to quantify the relationship between an observed target variable y and a set of variables x that it depends on. Once the model is created (trained), it is used to classify real-time data.
A logistic regression can be either binomial (two classes) or multinomial (three and more classes). In a binomial classification, the observed outcome is defined as {true, false}, {0, 1}, or {-1, +1}.
The logit function
The conditional probability in a linear regression ...
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