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In a clustering case study, which metric is often used to evaluate the quality o

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Question: In a clustering case study, which metric is often used to evaluate the quality of clusters?

Options:

  1. Mean Squared Error
  2. Silhouette Score
  3. Accuracy
  4. F1 Score

Correct Answer: Silhouette Score

Solution: 

The Silhouette Score is commonly used to evaluate the quality of clusters by measuring how similar an object is to its own cluster compared to other clusters.

In a clustering case study, which metric is often used to evaluate the quality o

Practice Questions

Q1
In a clustering case study, which metric is often used to evaluate the quality of clusters?
  1. Mean Squared Error
  2. Silhouette Score
  3. Accuracy
  4. F1 Score

Questions & Step-by-Step Solutions

In a clustering case study, which metric is often used to evaluate the quality of clusters?
  • Step 1: Understand what clustering is. Clustering is a way to group similar items together.
  • Step 2: Know that we want to check how good these groups (clusters) are.
  • Step 3: Learn about the Silhouette Score. It is a number that helps us see how well the items are grouped.
  • Step 4: The Silhouette Score compares how close an item is to its own group versus how close it is to other groups.
  • Step 5: A higher Silhouette Score means better clustering, as it shows items are well matched to their own group and far from others.
  • Silhouette Score – A metric that evaluates the quality of clusters by comparing the similarity of an object to its own cluster versus other clusters.
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