Silhouette score

The Silhouette Score is a measurement used to evaluate how well a grouping or clustering of data points is performed. It ranges from -1 to +1, where a higher score indicates that the data points are well-clustered. A score close to +1 means the points are closer to their own group than to others, suggesting they are well-matched within their cluster. A score near 0 indicates they are on the border between clusters, while a negative score suggests points are misclassified. Essentially, it helps assess the quality and separation of clusters in data analysis.