Question: Which evaluation metric is best for measuring the performance of a clustering algorithm?

Options:

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

Correct Answer: Silhouette Score

Solution:

Silhouette Score measures how similar an object is to its own cluster compared to other clusters, making it suitable for clustering evaluation.