Question 1: Suppose we train a model to predict whether an email is Spam or Not Spam. After training the model, we apply it to a test set of 500 new emails (also labeled) and the model produces the following confusion matrix table. True Class Spam Not Spam Predicted Spam 70 30 Class Not Spam 70 330 (a) Compute the precision of this model with respect to the Spam class. (b) Compute the recall of this model with respect to the Spam class