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

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Question: Which evaluation metric is commonly 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 popular metric for evaluating clustering quality, measuring how similar an object is to its own cluster compared to other clusters.

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

Practice Questions

Q1
Which evaluation metric is commonly 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 commonly used to assess the quality of clustering?
Correct Answer: Silhouette score
  • Step 1: Understand what clustering is. Clustering is a method of grouping similar items together.
  • Step 2: Learn about evaluation metrics. These are tools used to measure how good the clustering is.
  • Step 3: Identify the Silhouette score. This is a specific metric used to evaluate clustering quality.
  • Step 4: Know what the Silhouette score measures. It compares how close an item is to its own cluster versus other clusters.
  • Step 5: Realize that a higher Silhouette score means better clustering, as it indicates that items are well grouped.
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