Question: Assume we classify our points using a Bayesian optimal classifier, CB ( X ) , corresponding to the conditional class probability P ( Y =

Assume we classify our points using a Bayesian optimal classifier, CB(X), corresponding to the conditional class probability P(Y=1|X=x)=\sigma (3+x1+x2), where \sigma is the sigmoidal function \sigma (z)=e^z/(1+e^z). What is the number of false positives? Hint: A sigmoidal function takes the value 1/2 when its argument is 0.

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