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b) Consider Nave Bayes classifier with single feature (X) and class labels (CO, C1). The respective class conditional probabilities follow the normal distributions with

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b) Consider Nave Bayes classifier with single feature (X) and class labels (CO, C1). The respective class conditional probabilities follow the normal distributions with corresponding mean and standard deviation parameters (, 0) and (u, 0) respectively. Assuming their prior probabilities [3M] are same, obtain the equation of the decision boundary.

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