Predicting effectiveness of bayesian classification systems |
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| Authors: | Louis M Herman Michael B Dollinger |
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| Institution: | (1) Queens College, New York;(2) University of Illinois, USA;(3) Present address: the University of Hawaii, USA |
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| Abstract: | A model is presented for evaluating potential effectiveness of a Bayesian classification system using the expected value of the posterior probability for true classifications as an evaluation metric. For a given set of input parameters, the value of this complex metric is predictable from a simply computed row variance metric. Prediction equations are given for several representative sets of input parameters. |
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