Closed SeanRichterWalsh closed 9 months ago
Yes, because when ts_validation = TRUE
, the objective function to be optimised is nrmse_val
. When whents_validation = FALSE
, it's nrmse_test
nrmse_train
@gufengzhou thanks for replying. I am still a bit confused though because when ts_validation = FALSE
there is no test set, right? Is it that NRMSE on the full (i.e. training) data is optimised for? Thanks.
Right sorry that was a typo. Just corrected it. It's train
Clear. Thanks a lot.
Project Robyn
Describe issue
In the model exported when using robyn_write(), the performance metric for NRMSE is on the validation set not the test set. But adjusted R2 is reported for the test set. Why is the NRMSE of the test set not reported?
Here are the modelling metrics from an example one-pager:
And here is the same model when brought into R via robyn_write():
Thank you.