Typically have excellent generalizability to test sets

Can only make binary (true/false) predictions

Typically overfit their training data

Picking a model’s parameter values before training

Deciding how a model is structured

Selecting a 32-bit or 64-bit compilation option

Refers to selecting values that change how the learning process works

Often requires experimentation to get right

All of the above