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Which evaluation metric is particularly useful for ranking predictions?

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Question: Which evaluation metric is particularly useful for ranking predictions?

Options:

  1. Accuracy
  2. Mean Absolute Error
  3. Mean Squared Error
  4. Normalized Discounted Cumulative Gain (NDCG)

Correct Answer: Normalized Discounted Cumulative Gain (NDCG)

Solution: 

Normalized Discounted Cumulative Gain (NDCG) is used to evaluate the quality of ranked lists, making it suitable for ranking tasks.

Which evaluation metric is particularly useful for ranking predictions?

Practice Questions

Q1
Which evaluation metric is particularly useful for ranking predictions?
  1. Accuracy
  2. Mean Absolute Error
  3. Mean Squared Error
  4. Normalized Discounted Cumulative Gain (NDCG)

Questions & Step-by-Step Solutions

Which evaluation metric is particularly useful for ranking predictions?
No concepts available.
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