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For Educators · SVM Maximum Margin

SVM Maximum Margin for a recommendation engine

Built for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs. Simulate a recommendation engine live below — adjust the inputs and watch it respond, right in your browser.

SVM Maximum MarginLive

Controls

Presets

A support vector machine picks the separating line with the widest margin to the nearest points of each class — the support vectors. A fatter margin generalizes better to new data. Try to hand-tune the line to maximize the dashed gap. Educational tool.

▶ Run in Python

Data Inspector

Margin width0.000
Separates classes?no — misclassified

Governing equation

Reading this result: This orientation misclassifies at least one point, so the margin is meaningless until the two classes are cleanly separated first.

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 educators?
Yes — this version of "SVM Maximum Margin for a recommendation engine" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.