A decision tree is a diagram consisting of circular decision nodes, square probability nodes, and branches.
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Q17: The equal likelihood criterion assigns a probability
Q18: The appropriate criterion is dependent on the
Q19: The minimax regret criterion minimizes the maximum
Q20: A state of nature is an actual
Q21: _ is the difference between the payoff
Q23: The _ is a compromise between the
Q24: When using decision trees, branches with the
Q25: A(n) _ decision is one that has
Q26: When the _ criterion is used, the
Q27: A posterior probability is the likelihood that
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