Question

9-3 Explain why decision trees are often Called white-box models. ​

Answer 1

White-box models are the type of models which one can clearly explain how they behave, how they produce predictions and what the influencing variables are.

There are two key elements that make a model white-box: features have to be understandable, and the ML process has to be transparent.

Hope this helps :)

Answer 2

Answer:

White-box models are the type of models which one can clearly explain how they behave, how they produce predictions and what the influencing variables are. ... These models include linear and decision/regression tree

Decision tree learning or induction of decision trees is one of the predictive modelling approaches used in statistics, data mining and machine learning. It uses a decision tree (as a predictive model) to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves)