Which evaluation metric is commonly used for NLP tasks involving classification?

Which evaluation metric is commonly used for NLP tasks involving classification?

Step 1: Understand that NLP stands for Natural Language Processing, which involves tasks like classifying text.
Step 2: Know that classification tasks often require measuring how well a model performs.
Step 3: Learn about evaluation metrics, which are tools to assess model performance.
Step 4: Recognize that two important metrics in classification are precision and recall.
Step 5: Understand that precision measures how many selected items are relevant, while recall measures how many relevant items were selected.
Step 6: Learn that the F1 Score combines both precision and recall into one number, making it easier to evaluate the model's performance.
Step 7: Conclude that the F1 Score is commonly used for evaluating classification tasks in NLP.

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