A practical explanation of a Naive Bayes classifier
Considering the relative ease of implementation, classification accuracy with smaller datasets, and computational efficiency of Naive Bayes classifiers, I am surprised that they are not mentioned as often as other machine learning competitors, such as random forest.Are there major drawbacks to Naive Bayes classifiers? Is it just that they aren't as accurate on large datasets?