Given recall by threshold, you can compute true positive count per
threshold by just multiplying through by the count of elements where
label = 1. From that you can get false negatives by subtracting from
that same count.
Given precision by threshold, and true positives count by threshold,
you
Hi,
BinaryClassificationMetrics expose recall and precision byThreshold. Is there a
way to true negatives / false negatives etc per threshold?
I have weighted my genuines and would like the adjusted precision / FPR.
(Unless there is an option that I've missed, although I have been over the
