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naive bayes classifier dataset

Types of Naïve Bayes Classifier: Multinomial Naïve Bayes: Feature vectors represent the frequencies with which certain events have been generated by a multinomial distribution.. This is the event model typically used for document classification. Bernoulli Naïve Bayes: In the multivariate Bernoulli event model, features are independent booleans (binary variables) describing inputs

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