Naive Bayes Independence Assumption

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Naive Bayes often performs well on text classification despite its strong feature independence assumption being violated. Which statement best explains this paradox?

Multiple Choice

Text features are actually independent, so the assumption holds The independence assumption leads to biased probability estimates, but the resulting classification boundaries are still often effective Naive Bayes secretly accounts for feature dependencies through Laplace smoothing Naive Bayes only works on text data where the assumption happens to be valid

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Naive Bayes Independence Assumption

Multiple Choice

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