What is Naive Bayes?

Naive Bayes is a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. It is widely used for text classification, spam filtering, and sentiment analysis due to its simplicity and efficiency. Despite its naivete, it can often outperform more sophisticated classification methods, especially when the independence assumptions hold approximately or when the number of features is high.