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Naive Bayes is a linear classifier, and it makes much stronger assumptions than other linear classifiers.


My bad.

Regarding stronger assumptions, is there anything other than independence(thus the name naive) that it assumes?


That's the main assumption that people care about. In contrast, logistic regression (aka maximum entropy) does not make this assumption. As a go-to first classifier I would suggest multi-class logistic regression with regularization.




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