In machine-learning, a target value is an output value to a supervised learning problem.
Indeed, in typical scenarios, the dataset (S) consists of pairs (→xn,yn) where →xn is a D-dimensional vector of inputs and yn is called the output value.
S={(→xn,yn)∣n≤N}Other names for the output values are:
- targets,
- labels,
- responses,
- outcomes,
- dependent variables,
- endogenous variables,
- measured variables,
- regressands.