What is AUC-ROC in AI system performance metrics?

What is AUC-ROC in AI system performance metrics?

AUC-ROC stands for Area Under the Receiver Operating Characteristic curve. It's a performance measurement for classification problems.

How is the AUC-ROC calculated?

The AUC-ROC is calculated by plotting the true positive rate against the false positive rate at various threshold settings.

What does a higher AUC value indicate?

A higher AUC value indicates a better model performance, meaning it has a higher true positive rate and lower false positive rate.

Can you give an example of AUC-ROC in practice?

Sure! In a medical diagnosis model, a high AUC-ROC would mean the model is effective at distinguishing between healthy and sick patients.