4. Consider the following two-class classification problem with a single feature X. The class conditional pdfs...

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4. Consider the following two-class classification problem with a single feature X. The class conditional pdfs for the two classes c1 and c2 are N(4,4) and N(7,9) respectively. Assume the prior probability of the classes are 2/3 and 1/3 respectively. a. Find P(X= 5), i.e., the total probability of X = 5? b. Find the decision boundary point for MAP and ML classifiers. C. How would you classify the data with X = 5.5 using MAP rule? 4. Consider the following two-class classification problem with a single feature X. The class conditional pdfs for the two classes c1 and c2 are N(4,4) and N(7,9) respectively. Assume the prior probability of the classes are 2/3 and 1/3 respectively. a. Find P(X= 5), i.e., the total probability of X = 5? b. Find the decision boundary point for MAP and ML classifiers. C. How would you classify the data with X = 5.5 using MAP rule?

Answer rating: 100% (QA)

a Find PX 5 ie the total probability of X 5 To find PX 5 you can use the law of total probability PX ... View the full answer