Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?

Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?
A . All of these reasons
B . JS is not normalized or smoothed
C . None of these reasons
D . JS is more robust when working with large datasets
E . JS does not require any manual threshold or cutoff determinations

Answer: D

Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments