Suppose you built a machine learning model to classify Dog (…

Suppose you built a machine learning model to classify Dog (the negative class) vs Cat (the positive class). You evaluate your model with 500 images of cats and 328 images of dogs. You obtained the confusion matrix below. a. Clearly write down the values of TP, FP, TN, and FN (1 point each) b. Calculate the Accuracy, Precision, Recall, Specificity, and F1-score of your model. Show your calculations for the evaluation metrics (1 point each).