Naive Bayes is a probabilistic Bayesian Classifier algorithm based on applying Bayes’ theorem. Naive Bayesian classifiers can use either the Multinomial Naive Bayes Classifier or the Gaussian Naive Bayes Classifier approach, the latter which assumes a Gaussian distribution of possibilities for a single term. Naive Bayes is considered a simple algorithm because it does not require a lot of data or compute power. It is commonly used for things like predictive modeling, spam filters, or classifying documents. See Bayesian Classifier.
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