The term 'model scoring' in machine learning can refer to $($Select ANY correct answer$)$

A$.$ ranking the performances of more than one model to choose the best one.

B$.$ applying a model to unseen data.

C$.$ using a model in production.

D$.$ determining whether or not a model is overfit.