: NLP Vocabulary: naive Bayes classification

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naive Bayes classification

In statistics, naive Bayes classifiers are a family of linear "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class. The strength (naivety) of this assumption is what gives the classifier its name. These classifiers are among the simplest Bayesian network models. ( https://en.wikipedia.org/wiki/Naive_Bayes_classifier)

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