How do I calculate the silhouette score in Python?

How do I calculate the silhouette score in Python?

You can calculate the silhouette score using the silhouette_score function from the sklearn.metrics module. Do you have a dataset ready?

Yes, I have a dataset and I've already performed clustering.

Great! You can use the following code:

from sklearn.metrics import silhouette_score

score = silhouette_score(X, labels)
print('Silhouette Score:', score)

Make sure to replace X with your data and labels with your cluster labels.

What does the silhouette score tell me?

The silhouette score measures how similar an object is to its own cluster compared to other clusters. A higher score indicates better-defined clusters.