Vertica Machine Learning Series: Logistic Regression - ODBMS.org

This blog post is based on a white paper authored by Maurizio Felici. Logistic regression is a popular machine learning algorithm used for binary classification. Logistic regression labels a sample with one of two possible classes, given a set of predictors in the sample. Optionally, the output can be the probability that a sample belongs to a given class. For example, suppose a researcher is interested in the factors that determine if a student will be accepted or rejected to graduate school.