Generate · Grades 6-9
Pattern Playground
Feed in data and let the AI surface patterns the way a model would.
The AI idea behind it
Classification means deciding which group a new example belongs to. With two features, every example is a point on a grid, and a classifier draws a boundary: points on one side are Class A, points on the other are Class B.
Some data can be split cleanly with a simple boundary and some cannot. Seeing where a simple boundary fails is the clearest way to understand why more powerful models exist.
How it works in the app
- Plot points on the grid for Class A and Class B.
- The AI draws a boundary between the two classes and reports how accurately it separates them.
- Undo, clear or save your pattern and try a new one.
Try this
Make the boundary fail
- Plot two clusters, Class A in one corner and Class B in the other. Check the accuracy.
- Clear the grid. Plot Class A in a small circle and surround it with a ring of Class B.
- Compare the accuracy and explain why the second pattern is harder.
What it shows: A simple boundary cannot separate a ring from its centre. Problems like this are why models with curved or layered boundaries, such as neural networks, were developed.
Where it fits in the curriculum
More Generate tools
Try Pattern Playground in the app
One of the creation tools in LittleAIMaster for Grades 6-12.