In our previous chapter, we have related input variables (such as the power of a car) to a continuous output variable (speed of the car). But some applications involve output variables that are discrete (pass/fail an exam; picture of a car/bike/airplane/ship; rocket explodes/stays intact; ...). Statistical analyses in such a constellation are called classification. This chapter introduces logistic regression, the classical framework for classification into two mutually exclusive groups.