Precision-Recall Curve is More Informative than ROC in Imbalanced Data: Napkin Math & More | by Tam D Tran-The | Nov, 2021 | Towards Data Science
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When the negative class is more prevalent and there is low value in true-negative predictions, Precision-Recall curve is preferred over…
Precision-Recall Curve is more informative than ROC in imbalanced data | Towards Data Science Data Science Precision-Recall Curve is more informative than ROC in imbalanced data When the negative class is more prevalent and there is low value in true-negative predictions, Precision-Recall curve is preferred over… Tam D Tran-The Nov 29, 2021 4 min read Share Photo by Ricardo Arce on Unsplash Class imbalance is a common problem in the binary predictive modeling space. This occurs when the distribution between the two classes is highly skewed, usually with the negatives outnumbering the pos
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