The conversation between human and AI assistant.
Can we use parallel composition in private Naive Bayes?
That's good to know. Can you explain how the Naive Bayes algorithm works in general?
Sure. Naive Bayes is a machine learning algorithm that utilizes Bayes' Theorem to calculate the probability of a certain event occurring, given the presence or absence of certain features. It is called "naive" because it assumes that each feature is independent of all other features, which is often not true in real-world situations. Despite this simplification, Naive Bayes can still perform well in many applications, especially when the number of features is very large.