Machine Learning & Training

What Is Naive Bayes?

Naive Bayes is a family of probabilistic classifiers based on Bayes theorem with the assumption that features are independent given the class. Despite this simplifying assumption, it often works well in practice, especially for text classification. It is fast to train and requires relatively little data.