boundary is very close to the data points unnecessarily close so especially if you look here the decision boundary could be much more optimally placed probably something like this right given the training data but the neural networks because the only C training data they they have no basically no incentive to do this all right one might think of you know something like a support vector machine that actually has an incentive to to put the decision boundary away from the from the training data but the neural networks currently