Glossary term
Glossary term
Foundations
In supervised machine learning, the "answer" or "result" portion of an example.
Each labeled example consists of one or more features and a label. For example, in a spam detection dataset, the label would probably be either "spam" or "not spam." In a rainfall dataset, the label might be the amount of rain that fell during a certain period.
See Supervised Learning in Introduction to Machine Learning for more information.
Created for this library
A churn modeling team uses a 30-day cancellation label derived from billing events to train its production model.
A medical imaging team uses radiologist-confirmed labels for tumor presence in chest X-rays as ground truth for training.
A retail returns team uses a refund-issued label derived from order events to train its early-return-risk model.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License