Machine Learning, Logistic Regression, Non Linear.
as a linear classifier. It is used to come up with a hyperplane in feature space to separate observations that belong to a class from all the other observations that do not belong to that class. The decision boundary is thus linear. Robust and efficient implementations are readily available (e.g.