Question: If the training examples are linearly separable, how many decision boundaries can separate positive from negative data points? Which decision boundary does the SVM algorithm

If the training examples are linearly separable, how many decision boundaries can separate positive from negative data points? Which decision boundary does the SVM algorithm calculate? Why?

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