Decision trees are a way to create a probability distribution of outcomes through the use of computer software that experiments with randomly selected values of inputs.

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Decision trees are a model used for classification and regression tasks, not for creating probability distributions through random input experimentation. They work by splitting data into branches based on feature values.

Decision Trees Are a Way to Create a Probability Distribution