What is the difference between a decision tree and a Bayesian network?

Question

If I understand correctly, both use Bayes' theorem to generate an acyclic graph and calculate percentages based on the functions used on each node.

What is the difference?

Answer 1

One simple and fundamental difference Acyclic graph! = Tree

For example, a-> b <-c is not a tree (has two roots), but it is an acyclic graph.

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