{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Area Under the Curve — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Area Under the Curve (AUC)

A single number summarizing the overall performance of a classification model across all possible decision thresholds, derived from the ROC curve. A perfect model scores 1.0, while a model no better than random chance scores 0.5. AUC is particularly useful when comparing models or when the cost of false positives and false negatives differs.

Source: gaks.ai/glossary/area-under-the-curve →
"}