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.

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

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

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

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

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 results of this very basic analysis reveal that the number of times Aidan Chiles was sacked in a game and the support, or lack thereof, that he received from the Spartans’ run game were larger ...

David P. Duda, Patrick Minnis, Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression.

David Muchlinski, David Siroky, Jingrui He, Matthew Kocher, Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data, Political Analysis, Vol. 24, No. 1 ...