The difference between two evaluations of the same rows, metric by metric: the mean score before and after, their difference with its 95% interval (paired: each row's difference), and how many rows got better, worse, or stayed the same. A difference whose interval holds 0 may be noise.
Arguments
- before, after
Evaluations (
evaluate()) of the same rows, in the same order.