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If a classifier is strongly biased toward predicting “no defect”, what is the most likely issue?
It may achieve high overall accuracy, but poor recall for defect images.
It will always have low accuracy because most images are no-defect images.
It must achieve high precision and high recall for defect images.
Class imbalance has no effect on model evaluation.
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