I don't understand: if 35 % of the sample reverts identified by the hash
method are not considered such by human check and the new system has a
70 % accuracy, the difference in false positives is 5 %? I don't
understand from the paper either.
The main point seems to be about the more reverts found (as expected),
right?
Nemo