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.

Figure 3. Sigmoid curve Logistic regression is a linear method, but the predictions are transformed using the logistic function. The model can be stated can be written as: Thus the odds can be ...

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...