What is the purpose of the Silhouette Score in unsupervised learning evaluation?

Question

Data Science with Python — Hard

What is the purpose of the Silhouette Score in unsupervised learning evaluation?

Accepted Answer

The Silhouette Score in unsupervised learning evaluation measures how similar each data point is to its own cluster compared to other clusters, with values ranging from -1 to +1. This helps determine the quality of clustering, with values near 0 indicating overlapping clusters.