Skip main navigation

Logistic regression

Logistic regression works by predicting class probabilities rather than actual classes. Ian Witten explains how this works, and how to use it.

Many classification methods produce probabilities rather than black-or-white classifications. Naive Bayes is an obvious example, but other methods do too. The numbers between 0 and 1 produced by linear regression in the previous lesson may look like probabilities, but they’re not. However, a variant called “logistic regression” does produce probabilities. Logistic regression is a powerful classification that predict probabilities directly through something called the “logit transform”.

This article is from the free online

Data Mining with Weka

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now