What are the key performance metrics for AI models?

What are the key performance metrics for AI models?

The key performance metrics for AI models include accuracy, precision, recall, F1 score, and AUC-ROC.

Can you explain what accuracy means in this context?

Accuracy measures the proportion of true results (both true positives and true negatives) among the total number of cases examined.

What about precision and recall? How do they differ?

Precision is the ratio of true positives to the sum of true and false positives, while recall is the ratio of true positives to the sum of true positives and false negatives.

Why is the F1 score important?

The F1 score is important because it balances precision and recall, providing a single metric that captures both aspects.