Which metric would you use to evaluate a clustering algorithm's performance?

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Question: Which metric would you use to evaluate a clustering algorithm\'s performance?

Options:

Correct Answer: Silhouette Score

Solution:

Silhouette Score measures how similar an object is to its own cluster compared to other clusters.

Which metric would you use to evaluate a clustering algorithm's performance?

Which metric would you use to evaluate a clustering algorithm's performance?

Step 1: Understand what a clustering algorithm does. It groups similar items together.
Step 2: Learn about the Silhouette Score. It helps to measure how well each item is clustered.
Step 3: Know that the Silhouette Score ranges from -1 to 1. A higher score means better clustering.
Step 4: Realize that a score close to 1 means the item is well matched to its own cluster and poorly matched to neighboring clusters.
Step 5: Use the Silhouette Score to evaluate the performance of your clustering algorithm.

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