In supervised machine learning you use the terms features and labels.
Features could for instance be the bumpiness and slope of the ground as identified by an autonomous car, and the label could be whether or not the driver drives slow of fast on it. If you then would add a new feature you could predict wether or not the user would drive fast or slow on it.
