Use "Default" data in "ISLR" package. Split it into 50% training set and 50% test set using '2298'.

(1) Construct naive Bayes classifier / classification tree classifier / logistic regression classifier.

(2) For each classifier make an ROC curve, calculate the AUC, and compare the three classifiers.

Use "Default" data in "ISLR" package. Split it into 50% training set and 50% test set using number 2010

1. Construct (a) a naive Bayes classifier, (b) a classification tree classifier, and (c) a logistic regression classifier.

2. For each classifier, make an ROC curve, calculate the AUC, and compare the three classifiers.

3. For each classifier, find the optimal cutoff value to maximize the accuracy. Compare the three classifiers.

4. For each classifier, find the optimal cutoff value to maximize the F1 score. Compare the three classifiers.

I'd really appreciate your help.

I'm really desperate. Thanks a lot.