High loss but low rmse, how?
I have trained an lstm model on a dataset but its loss during training is ten times than the rmse during test.
How is it possible, and can I use this model if rmse is very low but loss is high?
How can I improve training and test loss?
Topic loss rmse hyperparameter-tuning lstm
Category Data Science