Chapter 9] Classification Confusion Matrix Che table below shows a list of 20 observations in a sample data set and an estimated probability of Class 1 membership given by XL Miner. Assume that the cutoff value is 0.50. Actual Class Probability of Probability of Actual Class Class 1 Class 1 0 1.00 1 0.58 0 0.99 0 0.56 1 0.95 1 0.53 0 0.94 1 0.52 0 0.93 0 0.46 1 0.88 1 0.41 o 0.82 0 0.36 0 0.75 0 0.33 1 0.72 0 0.11 O 0.64 1 0.04 Answer the following questions. For fill-in-the-blank questions, write your final answer only (without intermediate steps). Based on the given information, a classification confusion matrix can be constructed as below: 1 Actual Class 1 0 Predicted Class 0 110- 111 non In the above classification confusion matrix: 111 n10 A/ No1 - O AI CH E DOLL GO 0- insert d prt sc F10 home F11 end F12 F5 FG N F8 F9 & * ) bal 5 6 7 8 9 9 0 no1 - A/ noo AJ Round the final answer (if it is not . integer) to the nearest integer, Question 40 (3 points) The Class 1 error rate = decimal accuracy for the final answer, e.g., 0.12, when necessary. AJ . Use 2- Question 41 (3 points) In general, if we increase the cutoff value, Class 1 error rate will decrease