Naive Bayes

Naive Bayes is a simple probabilistic classifier based on Bayes' theorem with a strong (naive) independence assumption between features. Despite this assumption, it performs remarkably well for many tasks.

Key characteristics include computational efficiency and suitability for high-dimensional data. An everyday example is a spam filter that uses word frequencies to classify emails.