Naive Bayes classifier

Naive Bayes classifier is a family of probabilistic algorithms based on Bayes' theorem, which is used for classification tasks in statistical classification. The "naive" aspect of Naive Bayes comes from the assumption that the features (or attributes) used for classification are independent of one another given the class label. This simplifying assumption makes the computations more manageable, even though it may not always hold true in practice.