If the Bayes decision boundary is linear, do we expect LDA or QDA to perform better on the training set and why?
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For this question, be sure to review the main differences between Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA), specifically their assumptions about the decision boundaries. Focus your response on explaining how the linearity of the Bayes decision boundary aligns with these assumptions and how it would affect the performance of each method on the training set.
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