Model Training & Adaptation
Decision boundary
The dividing line an AI uses when deciding which group something belongs to.
Example
A prediction system places customers on different sides of a learned cutoff surface.
Why people use it
It helps explain where a small change can switch an AI's chosen category.
What you'll hear
“This case sits close to the dividing line.”
What this means for you
Check stability for cases close to a decision boundary.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does being near the boundary imply certainty?
- Usually not. Small changes can alter the predicted group near a boundary.
- Does being far from the line guarantee correctness?
- No. The line itself may be a poor fit for the situation.
- Can the dividing line be curved?
- Yes. Some methods create simple straight divisions, while others produce more complicated shapes.