Discussion Forum | Board Infinity

Why is Area Under ROC Curve (AUROC) better than raw accuracy as an out-of-sample evaluation metric?

Area Under ROC Curve (AUROC)

AUROC is robust to class imbalance, unlike raw accuracy.

For example, if you want to detect a type of cancer that’s prevalent in only 1% of the population, you can build a model that achieves 99% accuracy by simply classifying everyone has cancer-free.

Ensemble Learning