In the Bayes test, applied to a binary hypothesis testingIn the Bayes test, applied to a binary hypothesis testing problem where we have to choose one of two possible hypotheses H0 and H1, we minimize the risk R defined by R = C00 p0 P (say H0 | H0 is true) + C10 p0 P (say H1 | H0 is true) + C11 p1 P (say H1 | H1 is true) + C01 p1 P (say H0 | H1 is true). The terms C00, C10, C11, and C01 denote the costs assigned to the four possible outcomes of the experiment: The first subscript indicates the hypothesis chosen and the second the hypothesis that is true. Assume that C10 > C00 and C01 > C11, The p0 and p1 denote the a priori probabilities of hypotheses H0 and H1, respectively.