Its not that decision trees are under utilized, but rather one of their disadvantages is that they can overfit to their training data very easily. This is actua

Its not that decision trees are under utilized, but rather one of their disadvantages is that they can overfit to their training data very easily. This is actually one of the reasons Random Forests exist - just make a lot of overfitted decision trees and then vote for consensus. The visualization looks great, though it did suffer visualizing the Random Forest. I could see using it for a single Decision Tree to convey the data's structure. Definitely going to use it for any DT slides I have to make.