One setting is “how many layers / how deep is the tree” (structure passed into the algorithm). Another is “how many passes over the mite sheets” (how training itself is run). How should a tester name those knobs?
Select an answer to reveal the explanation.
Short Explanation
How many layers or how deep is the tree is a model hyperparameter: structure passed into the algorithm. How many passes over the mite sheets is an algorithm hyperparameter: how training itself is run. Both sit inside train the model. This is not a search-engineering task to run.
Full Explanation
Inside train-the-model, model hyperparameters set structure and algorithm hyperparameters set how training is run. A search-engineering task, Chapter 5 checks, and Foundation-level retests are not that distinction.