What are the standard metrics used in AI evaluation?

What are the standard metrics used in AI evaluation?

Standard metrics in AI evaluation include accuracy, precision, recall, F1 score, and AUC-ROC.

Can you explain what precision and recall mean?

Precision measures the accuracy of positive predictions, while recall measures the ability to find all relevant instances.

How do these metrics affect model performance?

These metrics help assess a model's effectiveness, guiding improvements and ensuring it meets specific goals.

Are there any metrics specific to certain types of AI models?

Yes, for example, BLEU score is used for evaluating language models, while mean squared error is common in regression tasks.