A posterior probability is the likelihood that an event has occurred after the decision maker has reached a decision.
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Q22: A decision tree is a diagram consisting
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
Q28: A _ decision tree illustrates a situation
Q29: A conditional probability is the probability that
Q30: When the _ criterion is used, the
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Q32: _ is a measure of personal satisfaciton
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