Construction and evaluation of classifiers for forensic document analysis

Details Construction and evaluation of classifiers for forensic document analysis Construction and evaluation of classifiers for forensic document analysis

2010-04-05

arxiv.org/abs/1004.0678v2

Annals of Applied Statistics 2011, Vol. 5, No. 1, 381-399

Statistics

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Published in at http://dx.doi.org/10.1214/10-AOAS379 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/10-AOAS379

In this study we illustrate a statistical approach to questioned document examination. Specifically, we consider the construction of three classifiers that predict the writer of a sample document based on categorical data. To evaluate these classifiers, we use a data set with a large number of writers and a small number of writing samples per writer. Since the resulting classifiers were found to have near perfect accuracy using leave-one-out cross-validation, we propose a novel Bayesian-based cross-validation method for evaluating the classifiers.

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