Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

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.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

The Journal of Marriage and Family (JMF), published by the National Council on Family Relations, is the leading research journal in the family field and has been so for over sixty years. JMF features ...

Regression can be used on categorical responses to estimate probabilities and to classify.

Peiming Wang, Martin L. Puterman, Mixed Logistic Regression Models, Journal of Agricultural, Biological, and Environmental Statistics, Vol. 3, No. 2 (Jun., 1998), pp ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.