2. MARGINAL IMPROVEMENTS
This section demonstrates that the extra performance
to be achieved by more sophisticated classification
rules, beyond that attained by simple methods,
is small. It follows that if aspects of the classification
problem are not accurately described (e.g.,
if incorrect distributions have been used, incorrect
class definitions have been adopted, inappropriate
performance comparison criteria have been applied,
etc.), then the reported advantage of the more sophisticated
methods may be incorrect. Later sections
illustrate how some inaccuracies in the classification
problem description can arise.