Unanswered Question 5 0 / 1 pts | Correct Answer 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 245 of these testing observations are from class 0 and the remaining 317 testing observations are from class 1. Using the proposed algorithm A, the student misclassies 29 observations from class 0 and misclassies 56 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) 0.882 Unanswered Question 6 0 / 1 pts | Correct Answer For the binary classication problem in the previous question, suppose another ISyE 7406 student proposes an algorithm "B" from another training data, and then test its performance to another testing data set, where 218 of these testing observations are from class 0 and the remaining 348 testing observations are from class 1. Using the proposed algorithm B, this student misclassies 28 observations from class 0 and misclassies 60 samples from class 1. What is the sensitivity of the algorithm B on this testing data? (round to three decimal in the format of x.xxx) 0.828