Question: Assume that the features are independent given each class label. Specifically, assume that you know the true class prior probabilities, but for some reason you

Assume that the features are independent given each class label. Specifically, assume that you know the true class prior probabilities, but for some reason you think that the class conditional pdfs are both Gaussian with the true means, but (incorrectly) with covariance matrices both equal to the identity matrix (assuming that off-diagonal values are all zeros)

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