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Supervised Learning
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Data Issues
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Imbalanced data handling
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3.
Accuracy and Class Imbalance
easy
Why is accuracy a misleading metric for imbalanced classification problems?
A
Accuracy penalizes false positives and false negatives equally, making it unsuitable for any classification task
B
A model predicting only the majority class achieves high accuracy while completely failing on the minority class
C
Accuracy is undefined when class proportions are unequal since it requires balanced class distributions
D
Accuracy is only misleading when the minority class has fewer than 1% of samples in the dataset
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