all of this from each other but it's not ideal and the black dots they represent kind of points in between or points from the input space that are not part of the training data so they say they sample uniformly in the range of the input space you see that the black dots are all over the place right some are confidence blue some are confident red some are like somewhere right what you would expect from a good model is that if you input something that's kind of in-between or not really sure not even part of the input distribution that it