Recall the confusion matrix we learned in class. In this case, the positive prediction for a customer means that he/she is predicted to be a buyer by the model.

Given this context, which of the followings are TRUE? (Select all that apply)

a. According to the model, the number of customers who will be targeted as buyers is TP+FN because these customers are actual buyers in the data set.

b. According to the model, the number of customers who will be targeted as buyers is TP+TN because the model predicts correctly for all of them.

c. According to the model, the number of customers who will be targeted as buyers is TP+FP because the model predicts positive for all of them.

d. The probability that a customer will buy if the company mails the product to the targets predicted by the model should be 100% as the model will help to identify exactly who are the buyers.

e. If the model can predict exactly who are the buyers in the training data set, the model is probably overfit and probably will have much lower accuracy rate when applied to the testing data set.

f. The accuracy rate of the model is the same as the probability that a customer. who is predicted as a buyer by the model, wil buy.