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3 . Consider a two - category classification problem with two - dimensional feature vector X = ( XI , x 2 ) . The
Consider a twocategory classification problem with twodimensional feature vector X XI x The two categories are o and plcxa: plxon N: Pq P and a Calculate the Bayes decision boundary. b Randomly draw patterns from each of the two classconditional densities and plot them in the twodimensional feature space. Also draw the decision boundary from a on this plot. c Calculate the Bhattacharya error bound. d Generate additional test patterns from each class and determine the empirical error rate based on the decision boundary in a Compare the empirical error with the bound in part c
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