Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For K-12 Students · Decision Tree

Decision Tree for a convolutional net

Built for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework. Simulate a convolutional net live below — adjust the inputs and watch it respond, right in your browser.

Decision Tree SplitsLive

carving space into boxes

Controls

Presets

Depth

Split on X

Split on Y

A decision tree repeatedly splits the feature space along one axis at a time, carving it into rectangular regions each assigned a class. Deeper trees fit more complex boundaries but risk overfitting. Tune the splits to separate the two colors. Educational tool.

▶ Run in Python

Data Inspector

Accuracy100%

Regions4

Governing equation

Gini = 1 - i \sum p_{i}^{2} \Rightarrow accuracy = 100%

Reading this result: Two axis-aligned splits near the center carve the plane into four boxes that match the classes — depth 2 is exactly enough to solve XOR.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Frequently asked questions

Is this good for k-12 students?: Yes — this version of "Decision Tree for a convolutional net" is framed for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.