In binary classification, the class prediction for each instance is often made based on a continuous random variable X , which is a "score" computed for the instance (e.g.
For example, imagine that the blood protein levels in diseased people and healthy people are normally distributed with means of 2 g/dL and 1 g/dL respectively.