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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation | BioData Mining | Full Text
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Matthews Correlation Coefficient is The Best Classification Metric You've Never Heard Of | by Boaz Shmueli | Towards Data Science
PDF] Why Cohen's Kappa should be avoided as performance measure in classification | Semantic Scholar
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PDF] The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | Semantic Scholar
Matthews Correlation Coefficient is The Best Classification Metric You've Never Heard Of | by Boaz Shmueli | Towards Data Science
PDF] The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment | Semantic Scholar
PDF) A Novel Performance Measure for Machine Learning Classification | International Journal of Managing Information Technology (IJMIT) - Academia.edu
PDF] Why Cohen's Kappa should be avoided as performance measure in classification | Semantic Scholar
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation | BioData Mining | Full Text