What is the naive assumption made by the Naive Bayes model used for classifying documents?

A$.$ Words in a document occur independently of each other, given the class.

B$.$ The training data does not need to be labeled to achieve strong accuracy.

C$.$ The frequency of the classes in the given documents is not relevant for classification.

D$.$ Although gradient descent is probabilistic, it will converge after enough iterations.