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Why is accuracy misleading on imbalanced data?

A Always predicting the majority class produces high accuracy while detecting nothing
B Accuracy cannot be computed
C It requires balanced classes
D It only applies to regression

Answer

Always predicting the majority class produces high accuracy while detecting nothing

Precision, recall, F1 and PR-AUC give a meaningful picture when the positive class is rare.

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