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Tell me what is the most frequent metric to assess model accuracy for classification problems?
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Answer / Neelam Goswami
The most frequent metric used to assess model accuracy for classification problems is usually either Accuracy, Precision, Recall, or F1-Score. However, Accuracy can be misleading in imbalanced datasets and F1-score is often preferred instead.
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