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A support-vector machine is a supervised learning model that divides the data into locations divided by a linear boundary. Listed here, the linear boundary divides the black circles in the white. Supervised learning algorithms develop a mathematical product of a established of knowledge which contains both equally the inputs and the specified outpu

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