PR-AUC is often preferred under class imbalance because:

Question

Accepted Answer

It focuses on performance on the positive class via precision-recall tradeoffs — PR-AUC zooms in on positive-class precision/recall — better under imbalance than ROC sometimes.

Answer

It ignores precision

Answer

It equals accuracy always

Answer

It only works for regression

PR-AUC is often preferred under class imbalance because:

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