1. (machine learning) any simple probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions between the features
   "Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem"

Derived forms: naive Bayes classifiers

Type of: probabilistic classifier

Encyclopedia: Naive Bayes classifier