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

Practice Questions

Q1
Which evaluation metric is commonly used to assess the quality of clustering results?
  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 results?
Correct Answer: Silhouette score
  • Step 1: Understand what clustering is. Clustering is a method of grouping similar items together.
  • Step 2: Learn that we need a way to measure how good these groups (clusters) are.
  • Step 3: Discover the Silhouette score, which is a number that helps us understand the quality of the clusters.
  • Step 4: Know that the Silhouette score compares how close an item is to its own cluster versus how close it is to 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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