Words: naive Bayes classifier
Part of speech: n
Definition: any simple probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions between the features.
Example: Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem.