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Optimal classification of cases into two groups must consider the costs of the different types of errors, the benefits of different correct decisions, as well as the base rates for the two populations. The WISE Util applet calculates classification rules to maximize classification utility. The program takes into account population base rates and means and variances of the test score distributions, and the benefit of a correct classification into each of the two groups and the cost of an incorrect classification into each of the two groups. The program interactively displays the model’s underlying weighted normal distributions, cutting scores which designate predicted group membership, expected classification accuracy, and expected utility.

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