A classification model attempts to derive a conclusion from the input values provided for training. It will forecast the new data's class labels/categories. A feature is a measurable property of a phenomenon that is being observed.
A physical model is a concrete representation of a system, as opposed to mathematical and logical models, which are both more abstract representations. The abstract model can be classed as descriptive (or logical) or analytical (or both) (similar to mathematical).