MCC β β310 / 1,476 β β0.21. A negative value close to β0.2 signals that the classifier performs worse than random guessing, largely because the high number of false positives overwhelms the single true positive. The other answer options either over-estimate performance (positive values) or mis-represent near-random performance (values near 0).
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What does the Matthews Correlation Coefficient (MCC) measure?
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Why is the MCC negative for this model's confusion matrix?
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How does the MCC handle imbalanced datasets better than accuracy?