Metrics and Benchmarks: How to Read an AI Score

Accuracy can hide failure when one outcome is rare. Precision asks how many flags were right. Recall asks how many real cases were found. Benchmarks can leak into training or be tuned for. Read any score by asking what was measured, on what data, and compared with what.

Precision

Of the cases flagged, how many were truly positive.

Recall

Of the real positive cases, how many were found.

Benchmark

A fixed test that many models take.