[R] kknn and logistic regression: how to cross-validate binary prediction

[noclue_]

I am comparing kknn and logistic regression for binary outcome prediction -

For kknn, I can do -

kknn_<-kknn(out_come ~ age + gender , learn_, valid_)
fit<-fitted(kknn_)
table(valid_$out_come, fit)

to get validation results in cross-tabulation.

---------

For logistic, how can I do the equivalent cross-validation?

logit_<-glm(out_come ~ age + gender, data=learn_, family=binomial)
...
... 
then how could I fit the logistic regression on validation data (ie. valid_)
to get predicted outcome?

Thanks!
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