
Precision and Recall for Evaluating Annotation Quality
In machine learning and data annotation, precision and recall are important metrics that help us better understand an AI model's performance. They are tools for balancing positive and negative outcomes.
By understanding the conceptual and mathematical foundations of precision and recall, you will understand their role in improving