https://en.wikipedia.org/wiki/Support_vector_machine

In machine learning, support vector machines (SVMs, also support vector networkslinear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall.

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