Area under the ROC curve

The area under the ROC curve boils down many other performance estimates to one single number and allows you to assess a model's performance very quickly. For this reason, it is a very common performance measure for classification models.

Using AUC, you can rate the performance of a model using a grading system, where A is the best grade:

AUC	Grade
0.9 - 1	A
0.8 - 0.9	B
0.7 - 0.8	C
0.6 - 0.7	D
0.5 - 0.6	E

You are going to calculate your model's AUC using the predictions tibble from the last exercise, which is still loaded.

Calculate the area under the ROC curve using the roc_auc() function and the predictions tibble.

Exercise

Area under the ROC curve

Instructions