A decision tree classifier is a machine learning (ML) prediction system that generates rules ... But in my opinion, recursive tree classifiers are much, much more difficult to work with than ...

Using a classification model decision tree, data are grouped and categorised so that predictions can be made about their types. An example of a decision tree is the probability tree that enables you ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning ... of decision trees is that their predictions are relatively interpretable. Another advantage ...