1. Given the following confusion matrix (obtained by using the default decision threshold of 0.5 for the probability estimates of a classifier on all the test examples), answer the subsequent questions. Predicted + - Actual + 4 2 _ 1 3 1) What is the value of accuracy? What are the values of TPR (true positive rate), (false positive rate)? Draw this point on the ROC graph. 2) If the cost of false positive prediction : $1 and cost of false negative prediction : $5, what is the total cost? How to adjust decision threshold (i.e., increase or decrease the decision threshold of classifying into positive class) to lower the total cost in this case