I am trying to run xgboost.cv function to get the optimal iteration (nrounds). However, it does not seem to converge. The result does not give me a best iteration result. Is there anything wrong with my code?
xgbcv <- xgb.cv(params = params,
data = dtrain,
nrounds = 1000,
nfold = 5,
showsd = T,
stratified = T,
print_every_n = 10,
early_stop_round = 100,
maximize = F
)