2 Naive Bayes [1 pt] Suppose we let X = (, ...) denote the features, and...

 

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2 Naive Bayes [1 pt] Suppose we let X = (¹, ²...") denote the features, and y € (0.1) denote the label. Note that in any generative model approach, we model the conditional label distribution P(X) via the conditional distribution of features given the label P(X|y): P(y X) x P(Xy)P(y) (1) Rewrite the conditional distribution in (1) under the Naïve Bayes assumption that the features are condi- tionally independent given the label. 2 Naive Bayes [1 pt] Suppose we let X = (¹, ²...") denote the features, and y € (0.1) denote the label. Note that in any generative model approach, we model the conditional label distribution P(X) via the conditional distribution of features given the label P(X|y): P(y X) x P(Xy)P(y) (1) Rewrite the conditional distribution in (1) under the Naïve Bayes assumption that the features are condi- tionally independent given the label.

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