![]() Visually measure the performance of classification models. ![]() This feature supports the inference regarding a single AUC, precision-recall curves, and provides options for comparing two ROC curves that are generated from either independent groups or paired subjects. UC (Area Under The Curve) ROC (Receiver Operating Characteristics) curve is one of the most important evaluation metrics for visualising and checking the performance of classification models.
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