Question 2 [ 06 points ] Suppose that 1000 test observations are available such that the confusion matrix obtained as a result of using the Bayes Classifier is shown below. Calculate the corresponding error rate, specificity and sensitivity assuming that class 1 represents the positive class. What do these calculated measures indicate about the classifier performance? Error Rate Specificity Sensitivity Confusion Matrix of Bayes Classifier Positive Class 1 17 483 vector True Class 300 200 Negative Class 0 477 23 0 Predicted Class 1 Figure 3.3: The confusion matrix of Bayes Classifier applied to the simulated data