Poisson regression uses the following cost function:

where denotes the predicted value for the *i ^{th}* observation. The intuition for the cost function can be visualized below, where in this example, the actual count of the observation is 5. As the predicted value moves away from 5, the cost assigned to it increases, corresponding to a poorer prediction.