Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of binary classification ... the demo program computes the ...

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...