Beginner · Data
Continuous feature
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A numerical feature that can take any value within a given range, such as temperature or weight, rather than just specific discrete values.
Technical Definition
A numerical feature that can take any value within a given range, such as temperature or weight, rather than just specific discrete values.
How it works
A continuous feature is a type of input variable in a dataset that can assume any value within a real number range, often represented as floating-point numbers. Examples include measurements like height, weight, temperature, or time. This is contrasted with discrete features, which can only take on a finite or countable number of distinct values, like the number of rooms in a house or a rating on a scale.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Discrete feature — A feature that can only take on a finite, countable number of distinct values.