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Hi all,
Thanks for the excellent package! Is there any way to use the Area Under the Precision-Recall Curve (AUPRC) as the measure to evaluate cross-validation? This would be useful in cases of an imbalanced dataset.
Saito, T., & Rehmsmeier, M. (2015). The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PloS one, 10(3), e0118432.
Cheers,
Pedro
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