A probabilistic classification algorithm based on Bayes' Theorem. "Naive" because it assumes independence between features. Despite its simplicity, often performs surprisingly well, especially with high-dimensional data. Widely used in text classification (spam filtering), sentiment analysis, and recommendation systems.