Random Naive Bayes' Alleviation of The Class Conditional Independence Assumption
Random Naive Bayes adopts the first approach by randomly selecting a subset of attributes in which attributes are assumed to be conditionally independent. Naive Bayes' performance might benefit from this random feature selection. Analogous to AODE, Random Naive Bayes builds an ensemble, but unlike AODE, the ensemble combines zero-dependence classifiers.
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