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The hyperplane (which in two dimensions is essentially a line) that optimally separates the tags is produced by a support vector machine using these data points. This line serves as a decision boundary: anything on one side will be classified as blue, while anything on the other will be classified as red.

The "Support Vector Machine" (SVM) is a supervised machine learning technique that can solve classification and regression problems.

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