Despite the word regression being present in the name, logistic regression is actually used for classification purposes. Given a set of datapoints, our goal is to build a model that can draw linear boundaries between our classes. It extracts these boundaries by solving a set of equations derived from the training data. In this recipe, we will build a logistic regression classifier.
Building a logistic regression classifier
Getting ready
Logistic regression is a non-linear regression model used when the dependent variable is dichotomous. The purpose is to establish the probability with which an observation can generate one or the other value of the dependent variable; it can also be used to classify observations, according...
