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The Naive Bayes (NB) algorithm provides fast, highly scalable model building and scoring. It scales linearly with the number of predictors and rows. The build process for Naive Bayes is parallelized. (Scoring can be parallelized irrespective of the algorithm.)Naive Bayes can be used for both binary and multiclass classification problems.