Evaluating classification Performance This activity will assess your understanding of a classification matrix. The goal of this activity is to demonstrate your understanding of results from a classification problem where airline customers were classified as either satisfied or not satisfied. Use the data from the following table to answer each question. accuracv: 77.28%+l1.09% (micro averade: 77.28% ) From Exhiblt 6-38 in Essentials of Marketing Analytics, by Hair et al., p. 219. Source of data: Parul Pandey, "Data Science with Watson Analytics," Medium, August 26, 2018, https://medium.com/analytics-vidhya/data-science-with-watson-analytics-7dddcc34d3a9; and Parul Pandey, "Airline Satisfaction Survey.csv," August 25, 2018, Gitthub, https://github.com/parulnith/Data-Science-with-Watson-Analytics/blob/master/Airline\%20Satisfaction\%20Survey.csv. 1. The number of true Satisfied customers who were classified as Satisfied is 2. The number of true Not Satisfied customers who were classified as Not Satisfied is 3. The overall accuracy rate of the classification matrix is 4. The ratio of the predicted "true Satisfied" to the total number predicted as "Satisfied" (precision) is 5. Class recall for "true Satisfied" is (Click to select) 4802 3390 1780 628