When it comes to decision trees, can the predicted value lay outside of the range of the training data?
For example, if the training data set range of the target variable is 0-100, when I generate my model and apply it to something else, can my values be -5? or 150?
Given that my understanding of decision tree regression is that it is still a rules based - left/right progression and that at the bottom of the tree in the training set it can never see a value outside a certain range, it will never be able to predict it?