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AUC (Area Under the Curve): Difference between revisions
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{{see also|machine learning terms}} | {{see also|machine learning terms}} | ||
==Introduction== | ==Introduction== | ||
In [[machine learning]], the '''Area Under the ROC Curve (AUC)''' is a popular [[metric]] to assess the performance of [[binary classification]] [[models]]. This measure assesses its ability to discriminate between positive and negative [[ | In [[machine learning]], the '''Area Under the ROC Curve (AUC)''' is a popular [[metric]] to assess the performance of [[binary classification]] [[models]]. This measure assesses its ability to discriminate between positive and negative [[class]]es based on [[output]] probabilities from the model. | ||
==What is AUC?== | ==What is AUC?== | ||