For a binary classication problem, suppose an ISyE 7406 student proposes an algorithm "A\" from some training data, and then test its performance to a testing data set, where 253 of these testing observations are from class 0 and the remaining 255 testing observations are from class 1. Using the proposed algorithm A, the student misclassies 28 observations from class 0 and misclassies 60 samples from class 1. What is the specicity of the algorithm A on this testing data? (round to three decimal in the format of x.xxx)