What is an ROC curve?

By Z. Hoo, J. Candlish, D. Teare. Emergency Medicine Journal, 2017

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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification (2023, methodology): “…using the ROC curve as a binary classification assessment tool in several fields, especially in medicine, bio-statistics, epidemiology, healthcare [25–27], and bioinformatics [28], until it became perhaps the most used metric to assess binary classification tests in any scientific field [29–31].”
A Review On Evaluation Metrics For Data Classification Evaluations (2015, background): “Although these metrics are better than accuracy or error rate, its graphical-based output limits a metric such as Receiver Operating Curve (ROC) [4], Bayesian Receiver Operating Characteristic (B-ROC) [1], Precision-Recall Curve [5], cost curve [6], lift and chart calibration plot [35] to be employe”
Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences (2020, background): “29 Lift [106] Measures the performance of a model at predicting or classifying cases.”