I've designed a 4 classifiers which perform pretty decently (all of them are above 90% in accuracy).
However, they don't have similar AUC for their respective ROC curves (obviously, it doesn't have to be).
If I were to use these classifiers in real-time data, which one do I choose based on the following result
Classifier A: Accuracy: 100%, AUC: 84%
Classifier B: Accuracy: 95%, AUC: 83%
Classifier C: Accuracy: 100%, AUC: 69%
Classifier D: Accuracy: 100%, AUC: 77%