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

Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of ...

A binary classification problem is one where the goal is to predict the value of a variable where there are only two possibilities. For example, you might want to predict the sex of a person (male or ...

The variables center, treatment, sex, and baseline (baseline respiratory status) are classification variables with two levels. The variable age (age at time of entry into the study) is a continuous ...