Label Machine Learning
noun
Definition 1: The target variable or ground-truth value associated with a data instance in supervised learning [Machine Learning Glossary].
Example in context: “Let denotes the labeled training dataset, in which is the ground-truth of the labels corresponding to and J is the total number of labels.” [Wang et al. 2024]
Definition 2: An identifier or class category, whether symbolic or numeric, assigned to a data instance for classification or annotation [ISO/IEC 22989:2022].
Example in context: “Hierarchical Text Classification (HTC) is a Machine Learning problem that consists in classifying documents into multiple labels which are organized in the form of a hierarchical taxonomy.” [Paletto et al. 2024]
Synonym: class label
Related terms: target variable, class, annotation, ground truth, category, label space, multi-label classification