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Multiple Choice Question
Evaluation metrics help measure the effectiveness of a model's predictions.

Which metric is commonly used to evaluate the performance of a classification model?

  • A
    Mean Squared Error (MSE)
  • B
    R-squared
  • C
    F1 Score
  • D
    Root Mean Squared Error (RMSE)
  • E
    Adjusted R-squared
Explanation:
The F1 Score is commonly used for evaluating classification models, especially when dealing with imbalanced datasets, as it considers both precision and recall.
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