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! -- View this message in context: http://n4.nabble.com/kknn-and-logistic-regression-how-to-cross-validate-binary-prediction-tp1594107p1594107.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
