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A Naïve Bayes classifier is especially useful for ...
in Data Science by anonymous | 6 views

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Naive Bayes works by calculating probabilities associated with categories, and is especially suited for categorical data. Other methods can use multi-category data, but must (at some level) convert multiple categories to a series of binary dummies, which increases computational complexity substantially for variables with many categories.
by Diamond (50,547 points)

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