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

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Introducing NCC2 Experimental Results Software demonstrationIndicators for comparing NBC and NCC2NCC2 vs NBCNBC(NCC2 D): accuracy of NBC on instances determinatelyclassified by NCC2.NBC(NCC2 I): accuracy of NBC on instances indeterminatelyclassified by NCC2.We expect NBC(NCC2 D) > NBC(NCC I).Naive Credal Classifier 2G. Corani, M. Zaffalon
Introducing NCC2 Experimental Results Software demonstrationExperiments on 18 UCI data setsMAR setup: 5% missing data generated via a MAR mechanism; allfeatures declared as MAR to NCC2.Non-MAR setup: 5% missing data generated via a Non-MARmechanism; all features declared as Non-MAR to NCC2.Average NBC accuracy under both settings: 82%.NBC vs NCC2NBC (NCC2 D):85%(95%)NBC (NCC2 I ):36%(69%)On each data set and setup:NBC(NCC2 D)>NBC(NCC2 I)NCC2determinacy: 95%(52%)single accuracy:85%(95%)set-accuracy: 85%(96%)imprecise output size:∼=33% of the classesIndeterminate classifications do preserve the reliability of NCC2!Naive Credal Classifier 2G. Corani, M. Zaffalon
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Naive Credal Classifier 2: an extension of Naive Bayes for delivering ...

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