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Fidelity Estimation for a Hierarchical Classifier

โœ Scribed by P. Hufnagl; K. Voss

Publisher
John Wiley and Sons
Year
1985
Tongue
English
Weight
377 KB
Volume
27
Category
Article
ISSN
0323-3847

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โœฆ Synopsis

To estimate the correct classification rate of a classifier, many different methods exkt (test fample, bootstrap, cross validation). The test sample is a method with very small expense. Sometimes, only a small number of objects is available (seldom diseases, high costs for experiments). When we split the sample in training set and test set, we get good or bed fidelity eatimations but, unfortunately, vice versa a big or small confidence interval for the estimation. Overcoming this dilemma is only possible for simple clessifiers. Such 8 simple classifier is investigated and a direct fidelity estimation ie proposed.

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