AI Model Evaluation & Testing › Model Accuracy & Precision Metrics
What are best practices for Model Accuracy & Precision Metrics
AdvancedAnswer
When working with Model Accuracy & Precision Metrics, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example A spam filter with high precision rarely marks a normal email as spam, even if it occasionally misses some actual spam.