ROC Curve

Browse all content tagged with ROC Curve

Glossary

Area Under the Curve (AUC)

The Area Under the Curve (AUC) is a fundamental metric in machine learning used to evaluate the performance of binary classification models. It quantifies the overall ability of a model to distinguish between positive and negative classes by calculating the area under the Receiver Operating Characteristic (ROC) curve.

Machine Learning AI Classification +2
• 3 min read
Glossary

ROC Curve

A Receiver Operating Characteristic (ROC) curve is a graphical representation used to assess the performance of a binary classifier system as its discrimination threshold is varied. Originating from signal detection theory during World War II, ROC curves are now essential in machine learning, medicine, and AI for model evaluation.

ROC Curve Model Evaluation AUC +2
• 10 min read

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