Yоu fit а DBSCAN mоdel аnd wаnt tо find the total number of data points that were flagged as noise/outliers. What code snippet correctly computes this? from sklearn.cluster import DBSCAN db = DBSCAN(eps=0.5, min_samples=5).fit(X)