Glossary term
Glossary term
Foundations
An input variable to a machine learning model. An example consists of one or more features. For instance, suppose you are training a model to determine the influence of weather conditions on student test scores. The following table shows three examples, each of which contains three features and one label:
Contrast with label.
See Supervised Learning in the Introduction to Machine Learning course for more information.
Created for this library
A retail forecasting team uses features like price, promotion flag, weather, and day-of-week to predict next-week sales by SKU.
A credit team uses features like income, credit utilization, and length of credit history in its scorecard.
A churn team uses features like recent logins, average session minutes, and customer support contacts to predict cancellation risk.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License