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Authors:
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Michael Healy
Claremont Graduate University
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| Description: |
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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| Keywords: |
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utility, Classification, wise, base rates, benefits, maximum utility, costs
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| More information about this material: |
Primary Audience:
College Upper Division,
Graduate School,
Professional
Mobile Compatibility:
Not specified at this time
Technical Requirements: Standard browsers; Excel version available from dale.berger@cgu.edu
Language:
English
Cost Involved:
no
Source Code Available:
unsure
Accessiblity Information Available:
unsure
Copyright:
no
Creative Commons:
no
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About this material: |
Peer Reviews (not reviewed)
Workflow status (accepted for review)
Comments (none)
Learning Exercises (none)
Personal Collections (none)
Accessibility Info (none)
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