Compare ROC-AUC vs PR-AUC

Q: Compare ROC-AUC vs PR-AUC

This question evaluates understanding of classification performance metrics by comparing ROC-AUC and PR-AUC, specifically what each curve plots and their core formulas (TPR/FPR vs Precision/Recall) and how class imbalance and baseline rates affect each metric.

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Question

Explain the difference between ROC-AUC and PR-AUC (Average Precision / area under the Precision–Recall curve).

In your answer, cover:

What each curve plots and the key formulas (TPR/FPR vs Precision/Recall).
How class imbalance (rare positives) affects each metric and its baseline.
Practical tradeoffs: when you would prefer ROC-AUC vs PR-AUC for model evaluation/selection.
Common pitfalls (e.g., interpretability, threshold choice, calibration, and how AUC relates to ranking).

Compare ROC-AUC vs PR-AUC

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Compare ROC-AUC vs PR-AUC

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