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.<p>Are there major drawbacks to Naive Bayes classifiers? Is it just that they aren't as accurate on large datasets?