How can we effectively evaluate the various models?

In Ridge regression and the subsequent discussion of its properties the bias or penalty parameter is considered known or `given'. In practice, it is unknown and the user needs to make an informed decision on its value. How do we do that? Much of the same considerations apply to the Lasso method.