Why is evaluating AI models important?

Why is evaluating AI models important?

Evaluating AI models is crucial to ensure they perform accurately, safely, and ethically in real-world applications.

What are the key metrics used for evaluation?

Common metrics include accuracy, precision, recall, F1 score, and AUC-ROC, depending on the task.

How often should models be evaluated?

Models should be evaluated regularly, especially when new data is available or when performance drops.

What happens if a model is not evaluated?

Without evaluation, models may produce biased or incorrect results, leading to poor decision-making.

Can you give examples of evaluation methods?

Sure! Methods include cross-validation, A/B testing, and confusion matrices to assess model performance.