What is a target value?

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In machine-learning, a target value is an output value to a supervised learning problem.

Indeed, in typical scenarios, the dataset ( $\dataset$ ) consists of pairs $(\vec{\iinputvec{\idataset}}, \ioutputval{\idataset})$ where $\vec{\iinputvec{\idataset}}$ is a $\inputdim$ -dimensional vector of inputs and $\ioutputval{\idataset}$ is called the output value.

S = {({\vec{x}}_{n}, y_{n}) ∣ n \leq N}

$\dataset = \{(\ninputvec{\idataset}, \ioutputval{\idataset}) \mid \idataset \leq \ndataset\}$

Other names for the output values are:

targets,
labels,
responses,
outcomes,
dependent variables,
endogenous variables,
measured variables,
regressands.