a gap in the training data so yeah it in this case it assigns a red class to it this is one problem that the decision boundaries are rather not say squiggly and irregular and the second one if you look at the actual colors full blue means very confident blue class full red means very confident red class and in between you kind of see going into the the white so if you look very closely I can actually zoom in more here if you look very closely you'll see that the blue gets lighter and lighter until it reaches white and from here the red goes