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Mobile gold classifier functions in mica s classifier

Naive Bayes Assumption: P ( x | y) = ∏ α = 1 d P ( x α | y), where x α = [ x] α is the value for feature α. i.e., feature values are independent given the label! This is a very bold assumption. For example, a setting where the Naive Bayes classifier is often used is spam filtering. Here, the data is emails and the label is spam or not-spam

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