Consider the following confusion Matrix, which represents the classification results of a SVM classifier for 5,000 persons based on their Blood Pressure Rate using five classes (Very Good, Good, Neutral, Bad and Very Bad) Hint: Diagonal represents the true positive values for each class Rows represent the false negative values Columns represent the false positive values a) Calculate the precision, Recall and F-measure for each of the five classes. b) Calculate the classification accuracy per class, for each of the five classes c) Calculate the overall classification accuracy of the SVM classifier