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Naive bayes vs Naive bayes(kernel)
My data set contains numerical values, which are configured as data type " real". Im able to use both operators naive bayes as well as Naive Bayes(kernel) type., with slightly different performance. However, I also see in RM documentation, only Naive bayes(kernel) to be used for numeric attribute.
should I consider only NB(kernel) result, enventhough rapidminer accepts using normal Naive bayes operator too? or
both are acceptable for numercial attribute?