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Which metric is generally more informative than ROC-AUC on heavily imbalanced data?

A Accuracy
B PR-AUC (precision-recall AUC)
C Mean squared error
D R-squared

Answer

PR-AUC (precision-recall AUC)

ROC-AUC is optimistic when negatives dominate, because the large true negative count inflates it.

All Machine Learning MCQs

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