Question: Suppose an SVM is given two-dimensional data in which all data for which both x and y are positive belongs to one class, and all

Suppose an SVM is given two-dimensional data in which all data for which both x and y are positive belongs to one class, and all data outside of this circle belongs to another. . Does it need a kernel trick, and if yes, what would you suggest (give a formula)? What would be a classifier for this data (with a kernel trick if needed)?

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