Which evaluation metric is commonly used to assess the quality of clustering results?
Practice Questions
1 question
Q1
Which evaluation metric is commonly used to assess the quality of clustering results?
Accuracy
Silhouette score
F1 score
Mean squared error
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.
Questions & Step-by-step Solutions
1 item
Q
Q: Which evaluation metric is commonly used to assess the quality of clustering results?
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.
Steps: 5
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.
