Feature scaling

Also written: standardization, scaling inputs, StandardScaler, unscaled inputs

Rescaling inputs (and targets) to small, similar-sized numbers, such as mean 0 and standard deviation 1, because gradient descent works best on them. New inputs must be scaled exactly like the training data.