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Noun: naive Bayes classifier
  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."

Type of: probabilistic classifier

Encyclopedia: Naive Bayes classifier

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