For binary logistic regression, dependent variables must be binary, ... Leon Yen has been reporting on technology for over a decade and has written for CNET and BigThink.

Binomial logistic regression, where the outcome is binary (e.g. death, yes/no) is often simply referred to as logistic regression and will be the focus of this article. For example, a team of medical ...

There are many machine learning techniques that can be used for a binary classification problem; one of the simplest is called logistic regression. And there are many ways to train a logistic ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...

The Data Science Lab. How to Do Kernel Logistic Regression Using C#. Dr. James McCaffrey of Microsoft Research uses code samples, a full C# program and screenshots to detail the ins and outs of kernal ...