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A help-vector machine is usually a supervised learning model that divides the info into regions separated by a linear boundary. In this article, the linear boundary divides the black circles through the white. Supervised learning algorithms produce a mathematical model of the set of data which contains each the inputs and the specified outputs.[47]
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