# What is a target value?

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.

Other names for the output values are:

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

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