Is there a way to get the variance of the samples in each leaf using the decision tree classifier?

Question

Here\'s the code I\'m using:

kmeans = KMeans(n_clusters = 15)
kmeans.fit(s)

cluster_numbers = kmeans.labels_

dt4 = DecisionTreeClassifier(random_state=0, ma