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JNCC2 is the Java implementation of the Naive Credal Classifier 2.
NCC2 constitutes an extension of Naive Bayes towards imprecise
probabilities; it is designed to return robust classification, even on
small and/or incomplete data sets. A peculiar feature of NCC2 is that
it returns set-valued (or imprecise) classifications (i.e., more than
one class) when faced with doubtful instances. Imprecise
classifications are valuable as they clearly highlight doubtful
instances, preventing over-confident use of the issued judgments;
however, they still convey an informative content, dropping unlikely
classes. This could be appealing in contexts in which the
classification outcome is especially sensitive, as for instance in
medical area.

Extensive empirical investigation shows that NCC2 returns imprecise
judgments on instances whose classification is truly doubtful; in
fact, Naive Bayes achieves a much higher classification accuracy on
the instances precisely classified by NCC2, than on those imprecisely
classified by NCC2. We say that NCC2 isolates area of ignorance, i.e.
subsets of instances over which the accuracy of Naive Bayes sharply
drops.

JNCC2 is open source; it is released under the terms of the GNU GPL
license; it is hence freely available together with manual, sources
and javadoc documentation.

For more information, visit http://www.idsia.ch/~giorgio/jncc2.html.


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