# Construction and Assessment of Classification Rules

'*Construction and Assessment of Classification Rules*', David J. Hand,
Published by John Wiley and Sons, Chichester, 1997. ISBN 0-471-96583-9.
Supervised classification is a paradigmatic statistical problem: in its own
microcosm it includes all of the major issues of statistics. The many
methods which have been developed for tackling such problems are described
here, from classical linear discriminant analysis through to recursive
partitioning and neural networks. Particular emphasis is placed on
evaluating such rules and assessing their quality. The common measures of
misclassification rate and ROC curve analysis are rarely sufficient.
Detailed discussion is given of several important practical applications and
the relative merits and properties of the various methods are described.

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