How to Benchmark an AI Detector on Your Own Data (Precision, Recall and False Positives in Python)
Every AI detector claims to be "99% accurate". Those numbers usually come from the vendor's own test set, written in the vendor's favourite style, and they rarely tell you the number that matters most: how often it flags real human writing . The good news: you can measure a detector on your own dat…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-28 14:00 · DEV Community — Machine Learning
How to Benchmark an AI Detector on Your Own Data (Precision, Recall and False Positives in Python)