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Which metric is commonly used to evaluate the performance of a classification model?
Question:
Which metric is commonly used to evaluate the performance of a classification model?
Choose the correct answer:
- A. Mean Squared Error (MSE)
- B. R-squared
- C. F1 Score ✅ Correct
- 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.
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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Explanation:
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Explanation:
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Explanation:
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Explanation:
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Explanation:
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