Naive Bayes classifier is a trivial generative model, which assumes conditional independent of all features.
therefore, b4 we construct the NB, we need to do a correlation analysis for whole feature set, and if we identify some high correlated features, we should only pick one of them from that subset.
Otherwise, it'll be a lousy NB classifier.
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