The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

Tor D. Tosteson, Bernard Rosner, Susan Redline, Logistic Regression for Clustered Binary Data in Proband Studies with Application to Familial Aggregation of Sleep Disorders, Biometrics, Vol. 47, No. 4 ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Logistic regression is a machine learning technique for binary classification. For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, ...

The purpose of this article is to provide researchers, editors, and readers with a set of guidelines for what to expect in an article using logistic regression techniques. Tables, figures, and charts ...

Original Article Published: 01 September 2008 Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

First off, you need to be clear what exactly you mean by advantages. People have argued the relative benefits of trees vs. logistic regression in the context of interpretability, robustness, etc.