LABELS
type: Concept
change note: 2022-07-27 08:32:38.0 [tstevens] update Definition (Encyclopedia of Machine Learning and Data Science: https://doi.org/10.1007/978-1-4899-7502-7);
change note: 2022-07-25 15:50:19.0 [tstevens] Insert Concept add broader relation (LABELS [4afb9415-fed3-4fd5-87d2-43fed132f567,996702] - MACHINE LEARNING TRAINING DATA [676bb4aa-1452-4527-aa05-83233ad5d01d,996681]);
change note: 2022-07-26 08:25:24.0 [tstevens] insert Definition (id: null text: Labels are target variables in a machine learning workflow and part of the training dataset. language code: en);
change note: 2022-07-25 15:50:50.0 [tstevens] Insert Concept add narrower relation (LABELS [4afb9415-fed3-4fd5-87d2-43fed132f567,996702] - VECTOR LABEL [351e53f2-fcad-4a2f-bd21-7126713c03b3,996704]);
change note: 2022-07-25 15:50:37.0 [tstevens] Insert Concept add narrower relation (LABELS [4afb9415-fed3-4fd5-87d2-43fed132f567,996702] - RASTER LABEL [381a3ad7-64e9-464e-b5aa-c9ce0520546c,996703]);
definition: Labels are target variables in a machine learning workflow and part of the training dataset.
in scheme: sciencekeywords

VECTOR LABEL
type: Concept

RASTER LABEL
type: Concept

MACHINE LEARNING TRAINING DATA
type: Concept