Please provide detailed step-by-step solution and derive the answer. Please provide the steps in LaTeX format. LaTeX formatted solution document/image attachment would help.

For a binary classication problem, suppose a student proposes an algorithm "A" from some training data, and then test its performance to a testing data set, where 219 of these testing observations are from class 0 and the remaining 325 testing observations are from class 1. Using the proposed algorithm A, the student misclassies 32 observations from class 0 and misclassies 49 samples from class 1. What is the specicity of the algorithm A on this testing data