Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification - researchr publication

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Chongomweru Halimu, Asem Kasem, S. H. Shah Newaz. Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification. In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, ICMLSC 2019, Da Lat, Vietnam, January 25-28, 2019. pages 1-6, ACM, 2019. [doi]

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