How can decision trees be used to model probabilistic algorithms?

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Decision trees are graphical representations of possible outcomes and choices based on certain conditions. They can help you visualize and analyze complex problems, especially when there is uncertainty or randomness involved. In this article, you will learn how decision trees can be used to model probabilistic algorithms, which are algorithms that use probability distributions and random variables to solve problems.

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