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

Research article (Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, 2019) · cited 131× · AI/ML
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Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification

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Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-comparison-of-area-under-roc-curve-auc-and-mathew-correlation-coefficient-mcc-for-evaluating-machine-learning-
MLA “Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-comparison-of-area-under-roc-curve-auc-and-mathew-correlation-coefficient-mcc-for-evaluating-machine-learning-.
BibTeX @misc{4ortxyz_empirical-comparison-of-area-under-roc-curve-auc-and-mathew-correlation-coefficient-mcc-for-evaluating-machine-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-comparison-of-area-under-roc-curve-auc-and-mathew-correlation-coefficient-mcc-for-evaluating-machine-learning-}, note = {Accessed: 2026-05-24}}
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