Naive Bayes is a common baseline solution because it's very simple to implement and very fast to run; however, pretty much any other ML method gives better accuracy than Naive Bayes. Sometimes the accuracy improvement is small and doesn't justify the highly increased computing cost, though, so Naive Bayes becomes the appropriate method to use, but it's not because of its accuracy.