Beginner · Data
Feature
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. An individual, measurable characteristic or property used as input for machine learning models.
Technical Definition
An individual, measurable characteristic or property used as input for machine learning models.
How it works
In machine learning, a feature is a measurable input variable used by a model to make predictions or classifications. Examples include pixel values in an image, word counts in a document, or age in a customer dataset. Selecting and engineering relevant features is a crucial part of the machine learning process.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.