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Which evaluation metric is often used to assess the quality of clustering?

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Question: Which evaluation metric is often used to assess the quality of clustering?

Options:

  1. Accuracy
  2. Silhouette score
  3. F1 score
  4. Mean squared error

Correct Answer: Silhouette score

Solution: 

The silhouette score is a common metric used to evaluate the quality of clustering by measuring how similar an object is to its own cluster compared to other clusters.

Which evaluation metric is often used to assess the quality of clustering?

Practice Questions

Q1
Which evaluation metric is often used to assess the quality of clustering?
  1. Accuracy
  2. Silhouette score
  3. F1 score
  4. Mean squared error

Questions & Step-by-Step Solutions

Which evaluation metric is often used to assess the quality of clustering?
  • Step 1: Understand what clustering is. Clustering is a way to group similar items together.
  • Step 2: Learn about evaluation metrics. These are tools we use to measure how good our clustering is.
  • Step 3: Know that the silhouette score is one of these metrics.
  • Step 4: Understand how the silhouette score works. It looks at how close an item is to other items in its own group compared to items in other groups.
  • Step 5: A higher silhouette score means better clustering, as it indicates that items are well grouped.
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