gendermen looks like a dummy variable created by train.formula() and gendermen< 0.03937576 should capture people who were not men (unless you centered and scaled these data).
The numbers in () are the rates of the outcome for that subgroup which predominantly had the class "no"
It is more interpretable if you don't convert them to dummy variables; the split would look like gender = "men".