Abstract

This paper introduces a measure of the ability for a pattern classifier to discriminate among different pattern classes. The use of this measure then defines a compromise between pattern discrimination and recognition error. The measure is particularly useful in sequential pattern classification in allowing control of discrimination level versus recognition error. The trade-off between discrimination level and recognition error is demonstrated for data used in a medical diagnosis problem.

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