I have a question about doing LASSO in R using glmnet.
It’s kind of a conceptual question; I learned that we should interpret RMSE after performing glmnet, to check the performance of the model. Lower RMSE is better, though I still don’t get what’s the threshold.

I also learned that it is essential to standardize IVs before performing LASSO. Additionally, we can standardize DV too, for better inference.
When I didn’t standardize the DV, rmse was 2.55.
When I standardize the DV, rmse is 0.90.

I learned that this means that the model performs poorly. I really don’t understand why this is happening- does it mean performing OLS is better choice?

clarify what’s RMSE meaning in LASSO