Microsoft Research's Dr. James McCaffrey show how to perform binary classification with logistic regression using the Microsoft ML.NET code library. The goal of binary classification is to predict a ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

Laurence D. Robinson, Nicholas P. Jewell, Some Surprising Results about Covariate Adjustment in Logistic Regression Models, International Statistical Review / Revue Internationale de Statistique, Vol.

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model.

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