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> Naive Bayes and Graphical Models are pure statistics, but they are mostly used for toy problems. I think they just feel "toy" because they've been used with
by nkozyra 9y ago
> Naive Bayes and Graphical Models are pure statistics, but they are mostly used for toy problems.
I think they just feel "toy" because they've been used with great accuracy for so long.
Complex problems are rarely solved by a single approach. The harder the problem the more likely a suite will be used, and often naive bayes will be part of that in some capacity.
- PeterisP 9y agoCan you give one example where Naive Bayes has been used with great accuracy for so long? 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.