An example where the two types of training behave very differently
					new Gaussian
			decision boundary
					What happens to the decision boundary if we add a new red point here?
		For generative fitting, the red mean moves rightwards but the decision boundary moves leftwards! If you really believe its Gaussian data this is sensible.