Do I need to install anything?

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

For Researchers · SVM Maximum Margin

SVM Maximum Margin for a hash table

Built for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model. Simulate a hash table live below — adjust the inputs and watch it respond, right in your browser.

SVM Maximum MarginLive

the widest possible street

Controls

Presets

Boundary angle (°)

Boundary offset

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

w, b min \frac{1}{2} ∥ w ∥^{2} s.t. y_{i} (w \cdot x_{i} + b) \geq 1, margin = \frac{2}{∥ w ∥} = 0.000

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

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Frequently asked questions

Is this good for researchers?: Yes — this version of "SVM Maximum Margin for a hash table" is framed for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.