What does feature mean?
One of the numbers a model is given as input. Choosing which numbers describe the situation is called feature selection.
In a lesson
The camera image is 320 by 240 pixels, and each pixel is three numbers, red, green and blue. That is 230,400 numbers per frame. The blob and tag detectors in Module 4 boil that down to a handful: where the thing is and how big. Choosing a small set of numbers that still tells the situations apart is most of the work in machine learning. Those numbers are called features. In this module the features are the 16 level readings.
Learn it
- Taught in 8.1 See as numbers Learning, Robot club
Used in
- F4.3 Local and global variables
- F4.5 Libraries and your own modules
- F5.3 Pseudocode and the exam reference language
- F6.4 Debugging logic errors
- F6.6 The IDE
- F9.5 CPU performance
- F9.8 Embedded systems: inside BugBot
- 5.1 The loop
- 8.7 Models as text
- A2.4 Abstraction and models
and 20 more lessons.
Do the lesson in the simulator