What is ROC AUC?

What is ROC AUC?

ROC AUC stands for Receiver Operating Characteristic Area Under the Curve. It's a performance measurement for classification models.

Why is ROC AUC important?

ROC AUC helps evaluate the trade-off between true positive rate and false positive rate, providing insight into model performance.

How do you calculate ROC AUC?

ROC AUC is calculated by plotting the true positive rate against the false positive rate at various threshold settings and measuring the area under the curve.

What is a good ROC AUC score?

A ROC AUC score of 0.5 indicates no discrimination, while a score of 1.0 indicates perfect discrimination. Generally, a score above 0.7 is considered good.