As I am still on the journey to understand what when and how to use, I am now at the point how to proceed after finding the best hyperparameters:
- Define Model (NN)
- Split Data into
- Hyperparameter optimization by using
- Use best estimator and
Train2while validating on
Is this correct? The result is then only a single value by checking the loss.
In 5. there is nothing changed anymore (no hyperparameters,..) and thus even a learning curve is not possible anymore.
Is this procedure right? Do I miss something? It feels a bit not having a single plot after all this modelling and instead only a single number (or two for