Naive Bayes

Naive Bayes is a probabilistic method that, despite its simplicity, can perform surprisingly well in many practical tasks. It is widely used in text classification, spam detection, and document labeling. Its main assumption is conditional independence among features; although this is often not fully true, the model can still work well in practice. Fast training and low data requirements are among its key advantages.