I have a dataset with different features where some of them are not categorical, so they need to be scaled or normalized (especially the target).
However, normalizing between 0-1 for instance means that the variable maximum value will be equal to one, and the mean to 0.
Now if I receive a new example never seen before, and this example has a value higher than the max of the training examples, how should this value be normalized ?
As an example. If my maximum value is 150, it will be scaled to 1.0. Now if I receive a new example, with a value equal to 320, how should it be scaled ?