A single feature, 2-class problem with Gaussian probability density distribution in the diagnosis of diabetes is perform

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A Single Feature 2 Class Problem With Gaussian Probability Density Distribution In The Diagnosis Of Diabetes Is Perform 1 (199.46 KiB) Viewed 37 times

A single feature, 2-class problem with Gaussian probability density distribution in the diagnosis of diabetes is performed using sugar count, x. Class w, is the state of being healthy, and Class W2 is the state of being sick with diabetes. The mean of data in Class w, is 20, whereas the mean of Class W2 is 10. Both classes have the same variance of 3. Assuming the priori probability of these two classes P(W) = 0.8 and PW) = 0.2, explain how will you assign an unknown sample x (x = 17) to the correct class based on Bayes decision rule.