What are some advantages and disadvantages of decision trees?

Decision trees are
diagrams that help you consider and map out outcomes that occur after an initial decision. For
example, a decision tree could help you decide between two jobs. After you construct a diagram
showing each path branching out from your initial choice, you can consider where the initial
decision might lead you.

The advantages of decision trees are that you can
see where an initial decision might lead you and consider the effects and ramifications of that
decision. For example, if you take one job, you might have to move, and that move would incur
extra expenses, and you can consider all the ways in which the job would affect your life. The
disadvantages of decision trees are that it is sometimes hard to predict the exact ways a
decision will affect you because you may not have enough data to make accurate predictions about
the future. In addition, you might be too optimistic or unrealistic to predict the future
branches of a decision tree accurately.