Using the evidence
	• Now we use the evidence for a model class in exactly the same way as we use the likelihood term for a particular setting of the parameters – The evidence gives us a posterior distribution over model classes, provided we have a prior. – For simplicity in making predictions we often just pick the model class with the highest posterior probability. This is called model selection. • But we should still average over the parameter vectors for that model class using the posterior distribution.