A silhouette score is a measure of fit for your clusters. It gives a general indication of how well individual objects lie within their cluster. The best possible value is 1 and the worst value is -1. Values near 0 indicate overlapping clusters. Negative values generally indicate that a sample has been assigned to the wrong cluster, as a different cluster is more similar.