Please ploy a line for the code below and interpret results about silhouette_score.

from sklearn.metrics import silhouette_score

for k in [2, 3, 4, 5, 6, 7, 8, 9 ]: km = KMeans(n_clusters=k, random_state =20130810) km.fit(matrix7) labels = km.labels_.tolist() score = silhouette_score(matrix7, labels) print(f"k = {k}, silhouette score = {score}")