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F1 Score and Beyond — When You Need One Metric to Rule Them All
Sixth in a Series: Mastering data quality for safe and scalable AI Saibal Banerjee, PhD and Steven Atneosen, JD Introduction. AI practitioners face a paradox: the more complex the model, the more elusive its reliability becomes. Precision and recall are essential metrics, but each tells only part of the story. When both false positives and…
