Binary Logistic Regression: Binary logistic regression is employed when the dependent variable has only two outcomes—in this case, the dependent variable is referred to as a dichotomous variable.

Logistic regression can in principle be modified to handle problems where the item to predict can take one of three or more values instead of just one of two possible values. The is sometimes called ...

The Data Science Lab. Logistic Regression with Batch SGD Training and Weight Decay Using C#. Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to ...