Which metric is commonly used for evaluating the performance of classification models in NLP?

A)  F1 Score
B)  R-squared
C)  Mean Squared Error (MSE)
D)  Area Under the Curve (AUC)

Correct Answer :   F1 Score

Explanation : The F1 Score is commonly used for evaluating the performance of classification models in NLP.

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