Question: What does a high ROC AUC score indicate?

Options:

1. The model has a high false positive rate.
2. The model performs well in distinguishing between classes.
3. The model is overfitting.
4. The model has low precision.

Correct Answer: The model performs well in distinguishing between classes.

Solution:

A high ROC AUC score indicates that the model is effective at distinguishing between the positive and negative classes.