Random naive Bayes extends the Naive Bayes classifier by adopting the random forest principles: random input selection, bagging (i.e. bootstrap aggregating), and random feature selection .
Read more about Random Naive Bayes: Naive Bayes Classifier, Random Naive Bayes' Alleviation of The Class Conditional Independence Assumption, Random Naive Bayes and Random Forest
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