Question: Consider a two - class classification problem with the following prior probabilities and class - conditional densities: * P ( w 1 ) = 0

Consider a two-class classification problem with the following prior probabilities and class-conditional densities:
*P(w1)=0.4, P(w2)=0.6
*P(x|w1)= N(x; 2,1)
*p(x|w2)= N(x; 4,2)
(a) Derive the decision boundary for minimum-error-rate classification.
(b) Calculate the misclassification error.
(c)Discuss how the decision boundary and error would change if the priors were equal.

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