The Bayes decision rule describes the approach we take to choosing a class w for a data point x. This can be achieved modeling P(x) or P(xw)P(W)/P(x). Compare and contrast these two approaches to modeling and discuss the advantages and disadvantages. For the latter model, why might knowing P(x) be useful