I am using cv.glmnet from glmnet package for logistic regression. my dataset is very imbalanced, 5% sample from one group, the rest from the other. I'm wondering when doing cv.glmnet for choosing lambda, is every fold having the same ratio for two groups(every fold has 5% sample from one group, the rest from the other in my case), or just random? many thanks yan -- View this message in context: http://r.789695.n4.nabble.com/cross-validation-in-glmnet-tp4629919.html Sent from the R help mailing list archive at Nabble.com.