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Naive Credal Classifier 2: an extension of Naive Bayes for delivering ...

Naive Credal Classifier 2: an extension of Naive Bayes for delivering ...

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Introducing NCC2 Experimental Results S<strong>of</strong>tware demonstrationWhat to expect from NCC2By adopting imprecise probabilities, NCC2 is designed to be robust to:prior specification, especially critical on small data sets;Non-MAR missing data, critical on incomplete data sets.However, excessive indeterminacy is undesirable.What to expect from indeterminate classificationsTo preserve NCC2 reliability, avoiding too strong conclusions (a singleclass) on doubtful inst<strong>an</strong>ces.To convey sensible in<strong>for</strong>mation, dropping unlikely classes.<strong>Naive</strong> <strong>Credal</strong> <strong>Classifier</strong> 2G. Cor<strong>an</strong>i, M. Zaffalon

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