Disadvantages of Using Decision Trees

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Disadvantages of Using Decision Trees
Anneke Zwart, Student (University), Netherlands, Moderator
Although decision trees can be used for effective decision making on product development, research and development and innovation programs, there are several pitfalls in using this method. Storey mentions the following problems:
  1. TIME-INTENSIVE: Decision trees are able to categorize quickly once the tree has been built. However it often takes a lot of time to develop such a tree.
  2. ERROR PROPAGATION: this refers to the influence of uncertainties of variables on the uncertainty of the function that is based on those variables. Decision trees work by a series of decisions. But, when one of those decisions taken is not correct, from that point on every decision is likely to be wrong too and the possibility of returning to the right path is very small.
The existence and importance of the problems mentioned differ across decision trees applications.
⇒ Can you think of other problems or issues associated with using decision trees?
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