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2. CRA has observed that randomlv selecting returns for investigation is expensive and not productive. As noted in question 1, 88% of these returns are complete. Only 12% warranted investigation. However, they have observed that those that are Incomplete (and potentially fraudulent) often exhibit characteristics that differentiate themselves from complete returns. Suppose ERA has built a modei to predict which returns are incomplete and has applied it to the 100,000 cases used in question 1. The results of the model are as follows: Incomplete Complete a. What is the accuracy rate for this model? Explain the meaning of "accuracy rate\" in words that an average person would understand. b. What is the \"sensitivity rate\" for the model? Explain the meaning of this \"sensitivity rate" in words an average person would understand. With respect to dening "positive\" and \"negative" for measuring true/false positiveegative, CRA is trying to identify incomplete tax returns, so "incomplete" is "positive" and \"complete\" is \"negative\". c. What is the \"specificity rate\" for the model? Explain the meaning of this "specicity rate" in words an average person would understand