giorgio corani wxsdslwidsiach jncc2 java implementation naive credal classifier 2 ncc2 constitutes extension naive bayes towards imprecise probabilities designed return robust classification even small andor incomplete data sets peculiar feature ncc2 returns setvalued imprecise classifications ie one class faced doubtful instances imprecise classifications valuable clearly highlight doubtful instances preventing overconfident use issued judgments however still convey informative content dropping unlikely classes could appealing contexts classification outcome especially sensitive instance medical area extensive empirical investigation shows ncc2 returns imprecise judgments instances whose classification truly doubtful fact naive bayes achieves much higher classification accuracy instances precisely classified ncc2 imprecisely classified ncc2 say ncc2 isolates area ignorance ie subsets instances accuracy naive bayes sharply drops jncc2 open source released terms gnu gpl license hence freely available together manual sources javadoc documentation information visit httpwwwidsiachgiorgiojncc2html giorgio corani phd idsia istituto dalle molle di studi sullintelligenza artificiale manno switzerland wwwidsiachgiorgio fri 08 aug 2008 075151 0200 uai jncc2 open source classifier based imprecise probabilities