Suppose we train a model to predict whether a credit card transaction is Fraudulent or Not. After training the model, we apply it to a test set of 200 new transactions (also labelled) and the model produces the contingency table below. Predicted Class Fraud Not Fraud True Fraud 60 Class Not Fraud 120 20 st your crisp point-wise observations on the classifier with supporting justification. (3 marks)