1

I think I am missing something when trying to understand the meaning of ROC curve. More specifically, I don't understand why a square with AUC of 1 (100% of the area) is considered ideal. This implies that a classifier results range from achieving TPR/FPR of 1/0 to 1/1 for various thresholds. Yet, isn't the ideal situation 1/0 for any threshold value? That implies no curve is constructed and AUC is undefined.

I am probably understanding something fundamentally wrong.

Steffen Moritz
  • 1,564
  • 2
  • 15
  • 22
dr.doom
  • 131
  • 3
  • 2
    you might find this discussion helpful: https://stats.stackexchange.com/questions/200815/why-auc-1-even-classifier-has-misclassified-half-of-the-samples/200875 – jld Oct 27 '17 at 01:37

0 Answers0