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Model Training & Adaptation

Support vector machine

A prediction method using selected learning examples to help divide groups or estimate numbers.

Example

A prediction system separates two categories using selected numerical features.

Why people use it

It offers a prediction method built around separating cases with a useful margin.

What you'll hear

“Where should the dividing boundary go?”

What this means for you

Choose features, kernels and settings through appropriate independent checking.

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

Can it separate groups with a curved boundary?
Yes. Suitable versions can handle more complicated divisions than a single straight line.
Does it always supply a trustworthy percentage chance?
No. A separate probability-estimation step may be needed, and the result still needs checking.
Can measurement scales affect its decisions?
Yes. Some measurements may dominate unless the information is prepared appropriately.

Related terms

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