Abstract
The actual merit of a classification method can only be judged in connection with practical problems. This merit not only depends on the classification method and problem but also on non-objective criteria like the demands and knowledges of the user. The basis of a first implementation of a classification method, however, has to consist of objective mathematically defined criteria which characterize the efficiency of a classifier. The efficiency of a classifier is usually estimated by an application to a random sample of known patterns (prediction set) which have not been used for the training. An alternative method is the leave-one-out method (Chapter 1.4 [292]).
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© 1980 Springer-Verlag Berlin Heidelberg
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Varmuza, K. (1980). Evaluation of Classifiers. In: Pattern Recognition in Chemistry. Lecture Notes in Chemistry, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93155-0_11
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DOI: https://doi.org/10.1007/978-3-642-93155-0_11
Publisher Name: Springer, Berlin, Heidelberg
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