What is AUC-ROC in AI models?

What is AUC-ROC in AI models?

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

How is the ROC curve generated?

The ROC curve is generated 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 explain the difference between AUC and accuracy?

Sure! AUC measures the model's ability to distinguish between classes, while accuracy measures the overall correctness of the model's predictions.