How do I calculate AI performance metrics?

How do I calculate AI performance metrics?

To calculate AI performance metrics, you typically use metrics like accuracy, precision, recall, and F1 score. Which one are you interested in?

Can you explain precision and recall?

Sure! Precision measures the accuracy of positive predictions, while recall measures the ability to find all relevant instances. Would you like to see a formula for these?

Yes, please provide the formulas.

The formula for precision is: Precision = True Positives / (True Positives + False Positives). For recall: Recall = True Positives / (True Positives + False Negatives). Do you need examples?

That would be helpful, thank you!

Of course! Let's say you have 100 positive cases, 80 true positives, 10 false positives, and 10 false negatives. Precision would be 80/(80+10) = 0.89, and recall would be 80/(80+10) = 0.89.